├── CVPR 2017 ├── CVPR 2017 Paper └── CVPR 2017 PaperList ├── CVPR 2018 ├── CVPR 2018 Paper └── CVPR 2018 Paper List ├── CVPR 2019 ├── CVPR 2019 Paper └── CVPR 2019 Paper List ├── CVPR2020 └── README.md ├── CVPR2021 ├── CVPR2021_accept_all_papers.md └── README.md ├── CVPR2022 └── Readme.md └── README.md /CVPR 2017/CVPR 2017 Paper: -------------------------------------------------------------------------------- 1 | CVPR 2017 所有论文下载链接： 2 | 链接：https://pan.baidu.com/s/15Ch93c20MtA34U6BPiKV3w 3 | 提取码：8ppi 4 | -------------------------------------------------------------------------------- /CVPR 2017/CVPR 2017 PaperList: -------------------------------------------------------------------------------- 1 | 欢迎关注【计算机视觉联盟】微信公众号获取更多内容! 2 | 3D Bounding Box Estimation Using Deep Learning and Geometry.pdf 3 | 3D Convolutional Neural Networks for Efficient and Robust Hand Pose Estimation From Single Depth Images.pdf 4 | 3D Face Morphable Models _In-The-Wild_.pdf 5 | 3D Human Pose Estimation = 2D Pose Estimation + Matching.pdf 6 | 3D Human Pose Estimation From a Single Image via Distance Matrix Regression.pdf 7 | 3D Menagerie_ Modeling the 3D Shape and Pose of Animals.pdf 8 | 3D Point Cloud Registration for Localization Using a Deep Neural Network Auto-Encoder.pdf 9 | 3D Shape Segmentation With Projective Convolutional Networks.pdf 10 | 3DMatch_ Learning Local Geometric Descriptors From RGB-D Reconstructions.pdf 11 | 4D Light Field Superpixel and Segmentation.pdf 12 | A Clever Elimination Strategy for Efficient Minimal Solvers.pdf 13 | A Combinatorial Solution to Non-Rigid 3D Shape-To-Image Matching.pdf 14 | A Compact DNN_ Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation.pdf 15 | A Dataset and Exploration of Models for Understanding Video Data Through Fill-In-The-Blank Question-Answering.pdf 16 | A Dataset for Benchmarking Image-Based Localization.pdf 17 | A Deep Regression Architecture With Two-Stage Re-Initialization for High Performance Facial Landmark Detection.pdf 18 | A Domain Based Approach to Social Relation Recognition.pdf 19 | A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems.pdf 20 | A General Framework for Curve and Surface Comparison and Registration With Oriented Varifolds.pdf 21 | A Generative Model for Depth-Based Robust 3D Facial Pose Tracking.pdf 22 | A Gift From Knowledge Distillation_ Fast Optimization, Network Minimization and Transfer Learning.pdf 23 | A Graph Regularized Deep Neural Network for Unsupervised Image Representation Learning.pdf 24 | A Hierarchical Approach for Generating Descriptive Image Paragraphs.pdf 25 | A Joint Speaker-Listener-Reinforcer Model for Referring Expressions.pdf 26 | A Linear Extrinsic Calibration of Kaleidoscopic Imaging System From Single 3D Point.pdf 27 | A Low Power, Fully Event-Based Gesture Recognition System.pdf 28 | A Matrix Splitting Method for Composite Function Minimization.pdf 29 | A Message Passing Algorithm for the Minimum Cost Multicut Problem.pdf 30 | A Minimal Solution for Two-View Focal-Length Estimation Using Two Affine Correspondences.pdf 31 | A Multi-View Stereo Benchmark With High-Resolution Images and Multi-Camera Videos.pdf 32 | A New Rank Constraint on Multi-View Fundamental Matrices, and Its Application to Camera Location Recovery.pdf 33 | A New Representation of Skeleton Sequences for 3D Action Recognition.pdf 34 | A Non-Convex Variational Approach to Photometric Stereo Under Inaccurate Lighting.pdf 35 | A Non-Local Low-Rank Framework for Ultrasound Speckle Reduction.pdf 36 | A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors.pdf 37 | A Point Set Generation Network for 3D Object Reconstruction From a Single Image.pdf 38 | A Practical Method for Fully Automatic Intrinsic Camera Calibration Using Directionally Encoded Light.pdf 39 | A Reinforcement Learning Approach to the View Planning Problem.pdf 40 | A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching.pdf 41 | A Unified Approach of Multi-Scale Deep and Hand-Crafted Features for Defocus Estimation.pdf 42 | A Wide-Field-Of-View Monocentric Light Field Camera.pdf 43 | A-Fast-RCNN_ Hard Positive Generation via Adversary for Object Detection.pdf 44 | A-Lamp_ Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment.pdf 45 | Accurate Depth and Normal Maps From Occlusion-Aware Focal Stack Symmetry.pdf 46 | Accurate Optical Flow via Direct Cost Volume Processing.pdf 47 | Accurate Single Stage Detector Using Recurrent Rolling Convolution.pdf 48 | Acquiring Axially-Symmetric Transparent Objects Using Single-View Transmission Imaging.pdf 49 | Action Unit Detection With Region Adaptation, Multi-Labeling Learning and Optimal Temporal Fusing.pdf 50 | Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning.pdf 51 | 欢迎关注【计算机视觉联盟】微信公众号获取更多内容! 52 | ActionVLAD_ Learning Spatio-Temporal Aggregation for Action Classification.pdf 53 | Active Convolution_ Learning the Shape of Convolution for Image Classification.pdf 54 | Adaptive and Move Making Auxiliary Cuts for Binary Pairwise Energies.pdf 55 | Adaptive Class Preserving Representation for Image Classification.pdf 56 | Adaptive Relaxed ADMM_ Convergence Theory and Practical Implementation.pdf 57 | AdaScan_ Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos.pdf 58 | Additive Component Analysis.pdf 59 | Adversarial Discriminative Domain Adaptation.pdf 60 | Adversarially Tuned Scene Generation.pdf 61 | AGA_ Attribute-Guided Augmentation.pdf 62 | Age Progression_Regression by Conditional Adversarial Autoencoder.pdf 63 | Agent-Centric Risk Assessment_ Accident Anticipation and Risky Region Localization.pdf 64 | Aggregated Residual Transformations for Deep Neural Networks.pdf 65 | All You Need Is Beyond a Good Init_ Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks With Orthonormality and Modulation.pdf 66 | Alternating Direction Graph Matching.pdf 67 | AMC_ Attention guided Multi-modal Correlation Learning for Image Search.pdf 68 | Amodal Detection of 3D Objects_ Inferring 3D Bounding Boxes From 2D Ones in RGB-Depth Images.pdf 69 | AMVH_ Asymmetric Multi-Valued Hashing.pdf 70 | An Efficient Algebraic Solution to the Perspective-Three-Point Problem.pdf 71 | An Efficient Background Term for 3D Reconstruction and Tracking With Smooth Surface Models.pdf 72 | An Empirical Evaluation of Visual Question Answering for Novel Objects.pdf 73 | An Exact Penalty Method for Locally Convergent Maximum Consensus.pdf 74 | Analyzing Computer Vision Data - The Good, the Bad and the Ugly.pdf 75 | AnchorNet_ A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching.pdf 76 | Annotating Object Instances With a Polygon-RNN.pdf 77 | Anti-Glare_ Tightly Constrained Optimization for Eyeglass Reflection Removal.pdf 78 | Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization_.pdf 79 | Are You Smarter Than a Sixth Grader_ Textbook Question Answering for Multimodal Machine Comprehension.pdf 80 | ArtTrack_ Articulated Multi-Person Tracking in the Wild.pdf 81 | Asymmetric Feature Maps With Application to Sketch Based Retrieval.pdf 82 | Asynchronous Temporal Fields for Action Recognition.pdf 83 | Attend in Groups_ A Weakly-Supervised Deep Learning Framework for Learning From Web Data.pdf 84 | Attend to You_ Personalized Image Captioning With Context Sequence Memory Networks.pdf 85 | Attention-Aware Face Hallucination via Deep Reinforcement Learning.pdf 86 | Attentional Correlation Filter Network for Adaptive Visual Tracking.pdf 87 | Attentional Push_ A Deep Convolutional Network for Augmenting Image Salience With Shared Attention Modeling in Social Scenes.pdf 88 | Automatic Discovery, Association Estimation and Learning of Semantic Attributes for a Thousand Categories.pdf 89 | Automatic Understanding of Image and Video Advertisements.pdf 90 | Awesome Typography_ Statistics-Based Text Effects Transfer.pdf 91 | Bayesian Supervised Hashing.pdf 92 | Benchmarking Denoising Algorithms With Real Photographs.pdf 93 | Beyond Instance-Level Image Retrieval_ Leveraging Captions to Learn a Global Visual Representation for Semantic Retrieval.pdf 94 | Beyond Triplet Loss_ A Deep Quadruplet Network for Person Re-Identification.pdf 95 | Bidirectional Beam Search_ Forward-Backward Inference in Neural Sequence Models for Fill-In-The-Blank Image Captioning.pdf 96 | Bidirectional Multirate Reconstruction for Temporal Modeling in Videos.pdf 97 | BigHand2.2M Benchmark_ Hand Pose Dataset and State of the Art Analysis.pdf 98 | Binarized Mode Seeking for Scalable Visual Pattern Discovery.pdf 99 | Binary Coding for Partial Action Analysis With Limited Observation Ratios.pdf 100 | Binary Constraint Preserving Graph Matching.pdf 101 | BIND_ Binary Integrated Net Descriptors for Texture-Less Object Recognition.pdf 102 | Binge Watching_ Scaling Affordance Learning From Sitcoms.pdf 103 | Borrowing Treasures From the Wealthy_ Deep Transfer Learning Through Selective Joint Fine-Tuning.pdf 104 | Boundary-Aware Instance Segmentation.pdf 105 | BranchOut_ Regularization for Online Ensemble Tracking With Convolutional Neural Networks.pdf 106 | BRISKS_ Binary Features for Spherical Images on a Geodesic Grid.pdf 107 | Budget-Aware Deep Semantic Video Segmentation.pdf 108 | Building a Regular Decision Boundary With Deep Networks.pdf 109 | Can Walking and Measuring Along Chord Bunches Better Describe Leaf Shapes_.pdf 110 | Captioning Images With Diverse Objects.pdf 111 | CASENet_ Deep Category-Aware Semantic Edge Detection.pdf 112 | CATS_ A Color and Thermal Stereo Benchmark.pdf 113 | CDC_ Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos.pdf 114 | CERN_ Confidence-Energy Recurrent Network for Group Activity Recognition.pdf 115 | ChestX-ray8_ Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases.pdf 116 | CityPersons_ A Diverse Dataset for Pedestrian Detection.pdf 117 | CLEVR_ A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning.pdf 118 | CLKN_ Cascaded Lucas-Kanade Networks for Image Alignment.pdf 119 | CNN-Based Patch Matching for Optical Flow With Thresholded Hinge Embedding Loss.pdf 120 | CNN-SLAM_ Real-Time Dense Monocular SLAM With Learned Depth Prediction.pdf 121 | Co-Occurrence Filter.pdf 122 | Coarse-To-Fine Segmentation With Shape-Tailored Continuum Scale Spaces.pdf 123 | Coarse-To-Fine Volumetric Prediction for Single-Image 3D Human Pose.pdf 124 | Cognitive Mapping and Planning for Visual Navigation.pdf 125 | Collaborative Deep Reinforcement Learning for Joint Object Search.pdf 126 | Collaborative Summarization of Topic-Related Videos.pdf 127 | Colorization as a Proxy Task for Visual Understanding.pdf 128 | Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation.pdf 129 | Commonly Uncommon_ Semantic Sparsity in Situation Recognition.pdf 130 | Compact Matrix Factorization With Dependent Subspaces.pdf 131 | Comparative Evaluation of Hand-Crafted and Learned Local Features.pdf 132 | Comprehension-Guided Referring Expressions.pdf 133 | Computational Imaging on the Electric Grid.pdf 134 | Conditional Similarity Networks.pdf 135 | Connecting Look and Feel_ Associating the Visual and Tactile Properties of Physical Materials.pdf 136 | Consensus Maximization With Linear Matrix Inequality Constraints.pdf 137 | Consistent-Aware Deep Learning for Person Re-Identification in a Camera Network.pdf 138 | Context-Aware Captions From Context-Agnostic Supervision.pdf 139 | Context-Aware Correlation Filter Tracking.pdf 140 | Contour-Constrained Superpixels for Image and Video Processing.pdf 141 | Controlling Perceptual Factors in Neural Style Transfer.pdf 142 | Convex Global 3D Registration With Lagrangian Duality.pdf 143 | Convolutional Neural Network Architecture for Geometric Matching.pdf 144 | Convolutional Random Walk Networks for Semantic Image Segmentation.pdf 145 | Correlational Gaussian Processes for Cross-Domain Visual Recognition.pdf 146 | Counting Everyday Objects in Everyday Scenes.pdf 147 | Creativity_ Generating Diverse Questions Using Variational Autoencoders.pdf 148 | Cross-Modality Binary Code Learning via Fusion Similarity Hashing.pdf 149 | Cross-View Image Matching for Geo-Localization in Urban Environments.pdf 150 | Crossing Nets_ Combining GANs and VAEs With a Shared Latent Space for Hand Pose Estimation.pdf 151 | 欢迎关注【计算机视觉联盟】微信公众号获取更多内容! 152 | Deep 360 Pilot_ Learning a Deep Agent for Piloting Through 360deg Sports Videos.pdf 153 | Deep Affordance-Grounded Sensorimotor Object Recognition.pdf 154 | Deep Co-Occurrence Feature Learning for Visual Object Recognition.pdf 155 | Deep Crisp Boundaries.pdf 156 | Deep Cross-Modal Hashing.pdf 157 | Deep Feature Flow for Video Recognition.pdf 158 | Deep Feature Interpolation for Image Content Changes.pdf 159 | Deep Future Gaze_ Gaze Anticipation on Egocentric Videos Using Adversarial Networks.pdf 160 | Deep Hashing Network for Unsupervised Domain Adaptation.pdf 161 | Deep Image Harmonization.pdf 162 | Deep Image Matting.pdf 163 | Deep Joint Rain Detection and Removal From a Single Image.pdf 164 | Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution.pdf 165 | Deep Learning Human Mind for Automated Visual Classification.pdf 166 | Deep Learning of Human Visual Sensitivity in Image Quality Assessment Framework.pdf 167 | Deep Learning on Lie Groups for Skeleton-Based Action Recognition.pdf 168 | Deep Learning With Low Precision by Half-Wave Gaussian Quantization.pdf 169 | Deep Level Sets for Salient Object Detection.pdf 170 | Deep MANTA_ A Coarse-To-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis From Monocular Image.pdf 171 | Deep Matching Prior Network_ Toward Tighter Multi-Oriented Text Detection.pdf 172 | Deep Metric Learning via Facility Location.pdf 173 | Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation.pdf 174 | Deep Multi-Scale Convolutional Neural Network for Dynamic Scene Deblurring.pdf 175 | Deep Multimodal Representation Learning From Temporal Data.pdf 176 | Deep Multitask Architecture for Integrated 2D and 3D Human Sensing.pdf 177 | Deep Network Flow for Multi-Object Tracking.pdf 178 | Deep Outdoor Illumination Estimation.pdf 179 | Deep Photo Style Transfer.pdf 180 | Deep Pyramidal Residual Networks.pdf 181 | Deep Quantization_ Encoding Convolutional Activations With Deep Generative Model.pdf 182 | Deep Reinforcement Learning-Based Image Captioning With Embedding Reward.pdf 183 | Deep Representation Learning for Human Motion Prediction and Classification.pdf 184 | Deep Roots_ Improving CNN Efficiency With Hierarchical Filter Groups.pdf 185 | Deep Self-Taught Learning for Weakly Supervised Object Localization.pdf 186 | Deep Semantic Feature Matching.pdf 187 | Deep Sequential Context Networks for Action Prediction.pdf 188 | Deep Sketch Hashing_ Fast Free-Hand Sketch-Based Image Retrieval.pdf 189 | Deep Structured Learning for Facial Action Unit Intensity Estimation.pdf 190 | Deep Supervision With Shape Concepts for Occlusion-Aware 3D Object Parsing.pdf 191 | Deep Temporal Linear Encoding Networks.pdf 192 | Deep TEN_ Texture Encoding Network.pdf 193 | Deep Unsupervised Similarity Learning Using Partially Ordered Sets.pdf 194 | Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection.pdf 195 | Deep Video Deblurring for Hand-Held Cameras.pdf 196 | Deep View Morphing.pdf 197 | Deep Visual-Semantic Quantization for Efficient Image Retrieval.pdf 198 | Deep Watershed Transform for Instance Segmentation.pdf 199 | Deeply Aggregated Alternating Minimization for Image Restoration.pdf 200 | Deeply Supervised Salient Object Detection With Short Connections.pdf 201 | DeepNav_ Learning to Navigate Large Cities.pdf 202 | DeepPermNet_ Visual Permutation Learning.pdf 203 | DeLiGAN _ Generative Adversarial Networks for Diverse and Limited Data.pdf 204 | DeMoN_ Depth and Motion Network for Learning Monocular Stereo.pdf 205 | Dense Captioning With Joint Inference and Visual Context.pdf 206 | Densely Connected Convolutional Networks.pdf 207 | DenseReg_ Fully Convolutional Dense Shape Regression In-The-Wild.pdf 208 | Depth From Defocus in the Wild.pdf 209 | DeshadowNet_ A Multi-Context Embedding Deep Network for Shadow Removal.pdf 210 | Designing Effective Inter-Pixel Information Flow for Natural Image Matting.pdf 211 | Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning.pdf 212 | Designing Illuminant Spectral Power Distributions for Surface Classification.pdf 213 | DESIRE_ Distant Future Prediction in Dynamic Scenes With Interacting Agents.pdf 214 | Detailed, Accurate, Human Shape Estimation From Clothed 3D Scan Sequences.pdf 215 | Detangling People_ Individuating Multiple Close People and Their Body Parts via Region Assembly.pdf 216 | Detect, Replace, Refine_ Deep Structured Prediction for Pixel Wise Labeling.pdf 217 | Detecting Masked Faces in the Wild With LLE-CNNs.pdf 218 | Detecting Oriented Text in Natural Images by Linking Segments.pdf 219 | Detecting Visual Relationships With Deep Relational Networks.pdf 220 | Differential Angular Imaging for Material Recognition.pdf 221 | Dilated Residual Networks.pdf 222 | Direct Photometric Alignment by Mesh Deformation.pdf 223 | Discover and Learn New Objects From Documentaries.pdf 224 | Discovering Causal Signals in Images.pdf 225 | Discretely Coding Semantic Rank Orders for Supervised Image Hashing.pdf 226 | Discriminative Bimodal Networks for Visual Localization and Detection With Natural Language Queries.pdf 227 | Discriminative Correlation Filter With Channel and Spatial Reliability.pdf 228 | Discriminative Covariance Oriented Representation Learning for Face Recognition With Image Sets.pdf 229 | Discriminative Optimization_ Theory and Applications to Point Cloud Registration.pdf 230 | Disentangled Representation Learning GAN for Pose-Invariant Face Recognition.pdf 231 | Distinguishing the Indistinguishable_ Exploring Structural Ambiguities via Geodesic Context.pdf 232 | Diverse Image Annotation.pdf 233 | Diversified Texture Synthesis With Feed-Forward Networks.pdf 234 | Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors.pdf 235 | DOPE_ Distributed Optimization for Pairwise Energies.pdf 236 | DSAC - Differentiable RANSAC for Camera Localization.pdf 237 | Dual Attention Networks for Multimodal Reasoning and Matching.pdf 238 | DUST_ Dual Union of Spatio-Temporal Subspaces for Monocular Multiple Object 3D Reconstruction.pdf 239 | Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting.pdf 240 | Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs.pdf 241 | Dynamic Facial Analysis_ From Bayesian Filtering to Recurrent Neural Network.pdf 242 | Dynamic FAUST_ Registering Human Bodies in Motion.pdf 243 | Dynamic Time-Of-Flight.pdf 244 | EAST_ An Efficient and Accurate Scene Text Detector.pdf 245 | ECO_ Efficient Convolution Operators for Tracking.pdf 246 | Efficient Diffusion on Region Manifolds_ Recovering Small Objects With Compact CNN Representations.pdf 247 | Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures.pdf 248 | Efficient Linear Programming for Dense CRFs.pdf 249 | Efficient Multiple Instance Metric Learning Using Weakly Supervised Data.pdf 250 | Efficient Optimization for Hierarchically-structured Interacting Segments (HINTS).pdf 251 | Efficient Solvers for Minimal Problems by Syzygy-Based Reduction.pdf 252 | Elastic Shape-From-Template With Spatially Sparse Deforming Forces.pdf 253 | Emotion Recognition in Context.pdf 254 | End-To-End 3D Face Reconstruction With Deep Neural Networks.pdf 255 | End-To-End Concept Word Detection for Video Captioning, Retrieval, and Question Answering.pdf 256 | 欢迎关注【计算机视觉联盟】微信公众号获取更多内容! 257 | End-To-End Instance Segmentation With Recurrent Attention.pdf 258 | End-To-End Learning of Driving Models From Large-Scale Video Datasets.pdf 259 | End-To-End Representation Learning for Correlation Filter Based Tracking.pdf 260 | End-To-End Training of Hybrid CNN-CRF Models for Stereo.pdf 261 | Enhancing Video Summarization via Vision-Language Embedding.pdf 262 | Episodic CAMN_ Contextual Attention-Based Memory Networks With Iterative Feedback for Scene Labeling.pdf 263 | ER3_ A Unified Framework for Event Retrieval, Recognition and Recounting.pdf 264 | Event-Based Visual Inertial Odometry.pdf 265 | Exclusivity-Consistency Regularized Multi-View Subspace Clustering.pdf 266 | Expecting the Unexpected_ Training Detectors for Unusual Pedestrians With Adversarial Imposters.pdf 267 | Expert Gate_ Lifelong Learning With a Network of Experts.pdf 268 | Exploiting 2D Floorplan for Building-Scale Panorama RGBD Alignment.pdf 269 | Exploiting Saliency for Object Segmentation From Image Level Labels.pdf 270 | Exploiting Symmetry and_or Manhattan Properties for 3D Object Structure Estimation From Single and Multiple Images.pdf 271 | Face Normals _In-The-Wild_ Using Fully Convolutional Networks.pdf 272 | Factorized Variational Autoencoders for Modeling Audience Reactions to Movies.pdf 273 | FASON_ First and Second Order Information Fusion Network for Texture Recognition.pdf 274 | Fast 3D Reconstruction of Faces With Glasses.pdf 275 | Fast Boosting Based Detection Using Scale Invariant Multimodal Multiresolution Filtered Features.pdf 276 | Fast Fourier Color Constancy.pdf 277 | Fast Haze Removal for Nighttime Image Using Maximum Reflectance Prior.pdf 278 | Fast Multi-Frame Stereo Scene Flow With Motion Segmentation.pdf 279 | Fast Person Re-Identification via Cross-Camera Semantic Binary Transformation.pdf 280 | Fast Video Classification via Adaptive Cascading of Deep Models.pdf 281 | Fast-At_ Fast Automatic Thumbnail Generation Using Deep Neural Networks.pdf 282 | FastMask_ Segment Multi-Scale Object Candidates in One Shot.pdf 283 | FC4_ Fully Convolutional Color Constancy With Confidence-Weighted Pooling.pdf 284 | FCSS_ Fully Convolutional Self-Similarity for Dense Semantic Correspondence.pdf 285 | Feature Pyramid Networks for Object Detection.pdf 286 | Feedback Networks.pdf 287 | Few-Shot Object Recognition From Machine-Labeled Web Images.pdf 288 | FFTLasso_ Large-Scale LASSO in the Fourier Domain.pdf 289 | Filter Flow Made Practical_ Massively Parallel and Lock-Free.pdf 290 | Finding Tiny Faces.pdf 291 | Fine-Grained Image Classification via Combining Vision and Language.pdf 292 | Fine-Grained Recognition as HSnet Search for Informative Image Parts.pdf 293 | Fine-Grained Recognition of Thousands of Object Categories With Single-Example Training.pdf 294 | Fine-To-Coarse Global Registration of RGB-D Scans.pdf 295 | Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis_ Actively and Incrementally.pdf 296 | Fixed-Point Factorized Networks.pdf 297 | Flexible Spatio-Temporal Networks for Video Prediction.pdf 298 | Flight Dynamics-Based Recovery of a UAV Trajectory Using Ground Cameras.pdf 299 | FlowNet 2.0_ Evolution of Optical Flow Estimation With Deep Networks.pdf 300 | Forecasting Human Dynamics From Static Images.pdf 301 | Forecasting Interactive Dynamics of Pedestrians With Fictitious Play.pdf 302 | Fractal Dimension Invariant Filtering and Its CNN-Based Implementation.pdf 303 | Fried Binary Embedding for High-Dimensional Visual Features.pdf 304 | From Local to Global_ Edge Profiles to Camera Motion in Blurred Images.pdf 305 | From Motion Blur to Motion Flow_ A Deep Learning Solution for Removing Heterogeneous Motion Blur.pdf 306 | From Red Wine to Red Tomato_ Composition With Context.pdf 307 | From Zero-Shot Learning to Conventional Supervised Classification_ Unseen Visual Data Synthesis.pdf 308 | Full Resolution Image Compression With Recurrent Neural Networks.pdf 309 | Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes.pdf 310 | Fully Convolutional Instance-Aware Semantic Segmentation.pdf 311 | Fully-Adaptive Feature Sharing in Multi-Task Networks With Applications in Person Attribute Classification.pdf 312 | FusionSeg_ Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos.pdf 313 | G2DeNet_ Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition.pdf 314 | Gated Feedback Refinement Network for Dense Image Labeling.pdf 315 | Gaze Embeddings for Zero-Shot Image Classification.pdf 316 | General Models for Rational Cameras and the Case of Two-Slit Projections.pdf 317 | Generalized Deep Image to Image Regression.pdf 318 | Generalized Rank Pooling for Activity Recognition.pdf 319 | Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval.pdf 320 | Generating Descriptions With Grounded and Co-Referenced People.pdf 321 | Generating Holistic 3D Scene Abstractions for Text-Based Image Retrieval.pdf 322 | Generating the Future With Adversarial Transformers.pdf 323 | Generative Attribute Controller With Conditional Filtered Generative Adversarial Networks.pdf 324 | Generative Face Completion.pdf 325 | Generative Hierarchical Learning of Sparse FRAME Models.pdf 326 | Geodesic Distance Descriptors.pdf 327 | Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs.pdf 328 | Geometric Loss Functions for Camera Pose Regression With Deep Learning.pdf 329 | Global Context-Aware Attention LSTM Networks for 3D Action Recognition.pdf 330 | Global Hypothesis Generation for 6D Object Pose Estimation.pdf 331 | Global Optimality in Neural Network Training.pdf 332 | GMS_ Grid-based Motion Statistics for Fast, Ultra-Robust Feature Correspondence.pdf 333 | Graph-Structured Representations for Visual Question Answering.pdf 334 | Grassmannian Manifold Optimization Assisted Sparse Spectral Clustering.pdf 335 | Group-Wise Point-Set Registration Based on Renyi's Second Order Entropy.pdf 336 | Growing a Brain_ Fine-Tuning by Increasing Model Capacity.pdf 337 | GuessWhat_! Visual Object Discovery Through Multi-Modal Dialogue.pdf 338 | Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative Autoencoders.pdf 339 | Hand Keypoint Detection in Single Images Using Multiview Bootstrapping.pdf 340 | Hard Mixtures of Experts for Large Scale Weakly Supervised Vision.pdf 341 | Hardware-Efficient Guided Image Filtering for Multi-Label Problem.pdf 342 | Harmonic Networks_ Deep Translation and Rotation Equivariance.pdf 343 | Harvesting Multiple Views for Marker-Less 3D Human Pose Annotations.pdf 344 | Hidden Layers in Perceptual Learning.pdf 345 | Hierarchical Boundary-Aware Neural Encoder for Video Captioning.pdf 346 | Hierarchical Multimodal Metric Learning for Multimodal Classification.pdf 347 | High-Resolution Image Inpainting Using Multi-Scale Neural Patch Synthesis.pdf 348 | HOPE_ Hierarchical Object Prototype Encoding for Efficient Object Instance Search in Videos.pdf 349 | HPatches_ A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors.pdf 350 | HSfM_ Hybrid Structure-from-Motion.pdf 351 | Human Shape From Silhouettes Using Generative HKS Descriptors and Cross-Modal Neural Networks.pdf 352 | Hyper-Laplacian Regularized Unidirectional Low-Rank Tensor Recovery for Multispectral Image Denoising.pdf 353 | Hyperspectral Image Super-Resolution via Non-Local Sparse Tensor Factorization.pdf 354 | iCaRL_ Incremental Classifier and Representation Learning.pdf 355 | Identifying First-Person Camera Wearers in Third-Person Videos.pdf 356 | 欢迎关注【计算机视觉联盟】微信公众号获取更多内容! 357 | Illuminant-Camera Communication to Observe Moving Objects Under Strong External Light by Spread Spectrum Modulation.pdf 358 | IM2CAD.pdf 359 | Image Deblurring via Extreme Channels Prior.pdf 360 | Image Splicing Detection via Camera Response Function Analysis.pdf 361 | Image Super-Resolution via Deep Recursive Residual Network.pdf 362 | Image-To-Image Translation With Conditional Adversarial Networks.pdf 363 | Improved Stereo Matching With Constant Highway Networks and Reflective Confidence Learning.pdf 364 | Improved Texture Networks_ Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis.pdf 365 | Improving Facial Attribute Prediction Using Semantic Segmentation.pdf 366 | Improving Interpretability of Deep Neural Networks With Semantic Information.pdf 367 | Improving Pairwise Ranking for Multi-Label Image Classification.pdf 368 | Improving RANSAC-Based Segmentation Through CNN Encapsulation.pdf 369 | Improving Training of Deep Neural Networks via Singular Value Bounding.pdf 370 | Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects.pdf 371 | Incremental Kernel Null Space Discriminant Analysis for Novelty Detection.pdf 372 | Indoor Scene Parsing With Instance Segmentation, Semantic Labeling and Support Relationship Inference.pdf 373 | Infinite Variational Autoencoder for Semi-Supervised Learning.pdf 374 | Instance-Aware Image and Sentence Matching With Selective Multimodal LSTM.pdf 375 | Instance-Level Salient Object Segmentation.pdf 376 | InstanceCut_ From Edges to Instances With MultiCut.pdf 377 | InterpoNet, a Brain Inspired Neural Network for Optical Flow Dense Interpolation.pdf 378 | Interpretable Structure-Evolving LSTM.pdf 379 | Interspecies Knowledge Transfer for Facial Keypoint Detection.pdf 380 | Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning.pdf 381 | Inverse Compositional Spatial Transformer Networks.pdf 382 | IRINA_ Iris Recognition (Even) in Inaccurately Segmented Data.pdf 383 | Joint Detection and Identification Feature Learning for Person Search.pdf 384 | Joint Discriminative Bayesian Dictionary and Classifier Learning.pdf 385 | Joint Gap Detection and Inpainting of Line Drawings.pdf 386 | Joint Geometrical and Statistical Alignment for Visual Domain Adaptation.pdf 387 | Joint Graph Decomposition & Node Labeling_ Problem, Algorithms, Applications.pdf 388 | Joint Intensity and Spatial Metric Learning for Robust Gait Recognition.pdf 389 | Joint Multi-Person Pose Estimation and Semantic Part Segmentation.pdf 390 | Joint Registration and Representation Learning for Unconstrained Face Identification.pdf 391 | Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation.pdf 392 | Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals.pdf 393 | Kernel Pooling for Convolutional Neural Networks.pdf 394 | Kernel Square-Loss Exemplar Machines for Image Retrieval.pdf 395 | KillingFusion_ Non-Rigid 3D Reconstruction Without Correspondences.pdf 396 | Knowing When to Look_ Adaptive Attention via a Visual Sentinel for Image Captioning.pdf 397 | Knowledge Acquisition for Visual Question Answering via Iterative Querying.pdf 398 | L2-Net_ Deep Learning of Discriminative Patch Descriptor in Euclidean Space.pdf 399 | Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network.pdf 400 | Large Margin Object Tracking With Circulant Feature Maps.pdf 401 | Latent Multi-View Subspace Clustering.pdf 402 | LCNN_ Lookup-Based Convolutional Neural Network.pdf 403 | LCR-Net_ Localization-Classification-Regression for Human Pose.pdf 404 | Lean Crowdsourcing_ Combining Humans and Machines in an Online System.pdf 405 | Learned Contextual Feature Reweighting for Image Geo-Localization.pdf 406 | Learning a Deep Embedding Model for Zero-Shot Learning.pdf 407 | Learning Adaptive Receptive Fields for Deep Image Parsing Network.pdf 408 | Learning an Invariant Hilbert Space for Domain Adaptation.pdf 409 | Learning and Refining of Privileged Information-Based RNNs for Action Recognition From Depth Sequences.pdf 410 | Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval.pdf 411 | Learning by Association -- A Versatile Semi-Supervised Training Method for Neural Networks.pdf 412 | Learning Category-Specific 3D Shape Models From Weakly Labeled 2D Images.pdf 413 | Learning Cross-Modal Deep Representations for Robust Pedestrian Detection.pdf 414 | Learning Cross-Modal Embeddings for Cooking Recipes and Food Images.pdf 415 | Learning Deep Binary Descriptor With Multi-Quantization.pdf 416 | Learning Deep CNN Denoiser Prior for Image Restoration.pdf 417 | Learning Deep Context-Aware Features Over Body and Latent Parts for Person Re-Identification.pdf 418 | Learning Deep Match Kernels for Image-Set Classification.pdf 419 | Learning Detailed Face Reconstruction From a Single Image.pdf 420 | Learning Detection With Diverse Proposals.pdf 421 | Learning Discriminative and Transformation Covariant Local Feature Detectors.pdf 422 | Learning Diverse Image Colorization.pdf 423 | Learning Dynamic Guidance for Depth Image Enhancement.pdf 424 | Learning Features by Watching Objects Move.pdf 425 | Learning From Noisy Large-Scale Datasets With Minimal Supervision.pdf 426 | Learning From Simulated and Unsupervised Images Through Adversarial Training.pdf 427 | Learning From Synthetic Humans.pdf 428 | Learning Fully Convolutional Networks for Iterative Non-Blind Deconvolution.pdf 429 | Learning Motion Patterns in Videos.pdf 430 | Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks.pdf 431 | 欢迎关注【计算机视觉联盟】微信公众号获取更多内容! 432 | Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories.pdf 433 | Learning Non-Maximum Suppression.pdf 434 | Learning Object Interactions and Descriptions for Semantic Image Segmentation.pdf 435 | Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation.pdf 436 | Learning Residual Images for Face Attribute Manipulation.pdf 437 | Learning Shape Abstractions by Assembling Volumetric Primitives.pdf 438 | Learning Spatial Regularization With Image-Level Supervisions for Multi-Label Image Classification.pdf 439 | Learning the Multilinear Structure of Visual Data.pdf 440 | Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization.pdf 441 | Learning to Detect Salient Objects With Image-Level Supervision.pdf 442 | Learning to Extract Semantic Structure From Documents Using Multimodal Fully Convolutional Neural Networks.pdf 443 | Learning to Learn From Noisy Web Videos.pdf 444 | Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps.pdf 445 | Learning to Rank Retargeted Images.pdf 446 | Learning Video Object Segmentation From Static Images.pdf 447 | Level Playing Field for Million Scale Face Recognition.pdf 448 | Lifting From the Deep_ Convolutional 3D Pose Estimation From a Single Image.pdf 449 | Light Field Blind Motion Deblurring.pdf 450 | Light Field Reconstruction Using Deep Convolutional Network on EPI.pdf 451 | Link the Head to the _Beak__ Zero Shot Learning From Noisy Text Description at Part Precision.pdf 452 | Linking Image and Text With 2-Way Nets.pdf 453 | Lip Reading Sentences in the Wild.pdf 454 | Local Binary Convolutional Neural Networks.pdf 455 | Locality-Sensitive Deconvolution Networks With Gated Fusion for RGB-D Indoor Semantic Segmentation.pdf 456 | Look Closer to See Better_ Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition.pdf 457 | Look Into Person_ Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing.pdf 458 | Loss Max-Pooling for Semantic Image Segmentation.pdf 459 | Low-Rank Bilinear Pooling for Fine-Grained Classification.pdf 460 | Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning.pdf 461 | Low-Rank-Sparse Subspace Representation for Robust Regression.pdf 462 | LSTM Self-Supervision for Detailed Behavior Analysis.pdf 463 | Making 360deg Video Watchable in 2D_ Learning Videography for Click Free Viewing.pdf 464 | Making Deep Neural Networks Robust to Label Noise_ A Loss Correction Approach.pdf 465 | Making the v in VQA Matter_ Elevating the Role of Image Understanding in Visual Question Answering.pdf 466 | Material Classification Using Frequency- and Depth-Dependent Time-Of-Flight Distortion.pdf 467 | Matrix Tri-Factorization With Manifold Regularizations for Zero-Shot Learning.pdf 468 | Matting and Depth Recovery of Thin Structures Using a Focal Stack.pdf 469 | MCMLSD_ A Dynamic Programming Approach to Line Segment Detection.pdf 470 | MDNet_ A Semantically and Visually Interpretable Medical Image Diagnosis Network.pdf 471 | Memory-Augmented Attribute Manipulation Networks for Interactive Fashion Search.pdf 472 | Mimicking Very Efficient Network for Object Detection.pdf 473 | MIML-FCN+_ Multi-Instance Multi-Label Learning via Fully Convolutional Networks With Privileged Information.pdf 474 | Mind the Class Weight Bias_ Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation.pdf 475 | Minimum Delay Moving Object Detection.pdf 476 | Mining Object Parts From CNNs via Active Question-Answering.pdf 477 | Missing Modalities Imputation via Cascaded Residual Autoencoder.pdf 478 | Model-Based Iterative Restoration for Binary Document Image Compression With Dictionary Learning.pdf 479 | Modeling Relationships in Referential Expressions With Compositional Modular Networks.pdf 480 | Modeling Sub-Event Dynamics in First-Person Action Recognition.pdf 481 | Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks.pdf 482 | More Is Less_ A More Complicated Network With Less Inference Complexity.pdf 483 | MuCaLe-Net_ Multi Categorical-Level Networks to Generate More Discriminating Features.pdf 484 | Multi-Attention Network for One Shot Learning.pdf 485 | Multi-Context Attention for Human Pose Estimation.pdf 486 | Multi-Level Attention Networks for Visual Question Answering.pdf 487 | Multi-Modal Mean-Fields via Cardinality-Based Clamping.pdf 488 | Multi-Object Tracking With Quadruplet Convolutional Neural Networks.pdf 489 | Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation.pdf 490 | Multi-Scale FCN With Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild.pdf 491 | Multi-Task Clustering of Human Actions by Sharing Information.pdf 492 | Multi-Task Correlation Particle Filter for Robust Object Tracking.pdf 493 | Multi-View 3D Object Detection Network for Autonomous Driving.pdf 494 | Multi-View Supervision for Single-View Reconstruction via Differentiable Ray Consistency.pdf 495 | Multi-Way Multi-Level Kernel Modeling for Neuroimaging Classification.pdf 496 | Multigrid Neural Architectures.pdf 497 | Multimodal Transfer_ A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer.pdf 498 | Multiple Instance Detection Network With Online Instance Classifier Refinement.pdf 499 | Multiple People Tracking by Lifted Multicut and Person Re-Identification.pdf 500 | Multiple-Scattering Microphysics Tomography.pdf 501 | Network Dissection_ Quantifying Interpretability of Deep Visual Representations.pdf 502 | Network Sketching_ Exploiting Binary Structure in Deep CNNs.pdf 503 | Neural Aggregation Network for Video Face Recognition.pdf 504 | Neural Face Editing With Intrinsic Image Disentangling.pdf 505 | Neural Scene De-Rendering.pdf 506 | Newton-Type Methods for Inference in Higher-Order Markov Random Fields.pdf 507 | NID-SLAM_ Robust Monocular SLAM Using Normalised Information Distance.pdf 508 | Noise Robust Depth From Focus Using a Ring Difference Filter.pdf 509 | Noise-Blind Image Deblurring.pdf 510 | Noisy Softmax_ Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation.pdf 511 | Non-Contact Full Field Vibration Measurement Based on Phase-Shifting.pdf 512 | Non-Local Color Image Denoising With Convolutional Neural Networks.pdf 513 | Non-Local Deep Features for Salient Object Detection.pdf 514 | Non-Uniform Subset Selection for Active Learning in Structured Data.pdf 515 | Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting.pdf 516 | Not Afraid of the Dark_ NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding.pdf 517 | Not All Pixels Are Equal_ Difficulty-Aware Semantic Segmentation via Deep Layer Cascade.pdf 518 | Object Co-Skeletonization With Co-Segmentation.pdf 519 | Object Detection in Videos With Tubelet Proposal Networks.pdf 520 | Object Region Mining With Adversarial Erasing_ A Simple Classification to Semantic Segmentation Approach.pdf 521 | Object-Aware Dense Semantic Correspondence.pdf 522 | OctNet_ Learning Deep 3D Representations at High Resolutions.pdf 523 | On Compressing Deep Models by Low Rank and Sparse Decomposition.pdf 524 | On Human Motion Prediction Using Recurrent Neural Networks.pdf 525 | On the Effectiveness of Visible Watermarks.pdf 526 | On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution.pdf 527 | On the Two-View Geometry of Unsynchronized Cameras.pdf 528 | On-The-Fly Adaptation of Regression Forests for Online Camera Relocalisation.pdf 529 | One-Shot Hyperspectral Imaging Using Faced Reflectors.pdf 530 | One-Shot Metric Learning for Person Re-Identification.pdf 531 | One-Shot Video Object Segmentation.pdf 532 | One-To-Many Network for Visually Pleasing Compression Artifacts Reduction.pdf 533 | Online Asymmetric Similarity Learning for Cross-Modal Retrieval.pdf 534 | Online Graph Completion_ Multivariate Signal Recovery in Computer Vision.pdf 535 | Online Summarization via Submodular and Convex Optimization.pdf 536 | Online Video Object Segmentation via Convolutional Trident Network.pdf 537 | Optical Flow Estimation Using a Spatial Pyramid Network.pdf 538 | Optical Flow in Mostly Rigid Scenes.pdf 539 | Optical Flow Requires Multiple Strategies (but Only One Network).pdf 540 | Order-Preserving Wasserstein Distance for Sequence Matching.pdf 541 | Oriented Response Networks.pdf 542 | Outlier-Robust Tensor PCA.pdf 543 | Parametric T-Spline Face Morphable Model for Detailed Fitting in Shape Subspace.pdf 544 | Parsing Images of Overlapping Organisms With Deep Singling-Out Networks.pdf 545 | Perceptual Generative Adversarial Networks for Small Object Detection.pdf 546 | Person Re-Identification in the Wild.pdf 547 | Person Search With Natural Language Description.pdf 548 | Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks.pdf 549 | Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network.pdf 550 | Photorealistic Facial Texture Inference Using Deep Neural Networks.pdf 551 | Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks.pdf 552 | Physics Inspired Optimization on Semantic Transfer Features_ An Alternative Method for Room Layout Estimation.pdf 553 | Pixelwise Instance Segmentation With a Dynamically Instantiated Network.pdf 554 | Plug & Play Generative Networks_ Conditional Iterative Generation of Images in Latent Space.pdf 555 | Point to Set Similarity Based Deep Feature Learning for Person Re-Identification.pdf 556 | PointNet_ Deep Learning on Point Sets for 3D Classification and Segmentation.pdf 557 | Polarimetric Multi-View Stereo.pdf 558 | Polyhedral Conic Classifiers for Visual Object Detection and Classification.pdf 559 | PolyNet_ A Pursuit of Structural Diversity in Very Deep Networks.pdf 560 | Pose-Aware Person Recognition.pdf 561 | PoseAgent_ Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning.pdf 562 | POSEidon_ Face-From-Depth for Driver Pose Estimation.pdf 563 | PoseTrack_ Joint Multi-Person Pose Estimation and Tracking.pdf 564 | Position Tracking for Virtual Reality Using Commodity WiFi.pdf 565 | Predicting Behaviors of Basketball Players From First Person Videos.pdf 566 | Predicting Ground-Level Scene Layout From Aerial Imagery.pdf 567 | Predicting Salient Face in Multiple-Face Videos.pdf 568 | Predictive-Corrective Networks for Action Detection.pdf 569 | Primary Object Segmentation in Videos Based on Region Augmentation and Reduction.pdf 570 | Probabilistic Temporal Subspace Clustering.pdf 571 | Procedural Generation of Videos to Train Deep Action Recognition Networks.pdf 572 | Product Manifold Filter_ Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space.pdf 573 | Product Split Trees.pdf 574 | Provable Self-Representation Based Outlier Detection in a Union of Subspaces.pdf 575 | 欢迎关注【计算机视觉联盟】微信公众号获取更多内容! 576 | Pyramid Scene Parsing Network.pdf 577 | Quad-Networks_ Unsupervised Learning to Rank for Interest Point Detection.pdf 578 | Quality Aware Network for Set to Set Recognition.pdf 579 | Query-Focused Video Summarization_ Dataset, Evaluation, and a Memory Network Based Approach.pdf 580 | Quo Vadis, Action Recognition_ A New Model and the Kinetics Dataset.pdf 581 | Radiometric Calibration for Internet Photo Collections.pdf 582 | Radiometric Calibration From Faces in Images.pdf 583 | Re-Ranking Person Re-Identification With k-Reciprocal Encoding.pdf 584 | Re-Sign_ Re-Aligned End-To-End Sequence Modelling With Deep Recurrent CNN-HMMs.pdf 585 | Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core.pdf 586 | Real-Time Neural Style Transfer for Videos.pdf 587 | Real-Time Video Super-Resolution With Spatio-Temporal Networks and Motion Compensation.pdf 588 | Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields.pdf 589 | Reconstructing Transient Images From Single-Photon Sensors.pdf 590 | Recurrent 3D Pose Sequence Machines.pdf 591 | Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization.pdf 592 | Recurrent Modeling of Interaction Context for Collective Activity Recognition.pdf 593 | RefineNet_ Multi-Path Refinement Networks for High-Resolution Semantic Segmentation.pdf 594 | Reflectance Adaptive Filtering Improves Intrinsic Image Estimation.pdf 595 | Reflection Removal Using Low-Rank Matrix Completion.pdf 596 | Regressing Robust and Discriminative 3D Morphable Models With a Very Deep Neural Network.pdf 597 | Relationship Proposal Networks.pdf 598 | Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild.pdf 599 | Removing Rain From Single Images via a Deep Detail Network.pdf 600 | Residual Attention Network for Image Classification.pdf 601 | Residual Expansion Algorithm_ Fast and Effective Optimization for Nonconvex Least Squares Problems.pdf 602 | Revisiting Metric Learning for SPD Matrix Based Visual Representation.pdf 603 | Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems.pdf 604 | Richer Convolutional Features for Edge Detection.pdf 605 | Riemannian Nonlinear Mixed Effects Models_ Analyzing Longitudinal Deformations in Neuroimaging.pdf 606 | ROAM_ A Rich Object Appearance Model With Application to Rotoscoping.pdf 607 | Robust Energy Minimization for BRDF-Invariant Shape From Light Fields.pdf 608 | Robust Interpolation of Correspondences for Large Displacement Optical Flow.pdf 609 | Robust Joint and Individual Variance Explained.pdf 610 | Robust Visual Tracking Using Oblique Random Forests.pdf 611 | RON_ Reverse Connection With Objectness Prior Networks for Object Detection.pdf 612 | S2F_ Slow-To-Fast Interpolator Flow.pdf 613 | S3Pool_ Pooling With Stochastic Spatial Sampling.pdf 614 | Saliency Revisited_ Analysis of Mouse Movements Versus Fixations.pdf 615 | SCA-CNN_ Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning.pdf 616 | Scalable Person Re-Identification on Supervised Smoothed Manifold.pdf 617 | Scalable Surface Reconstruction From Point Clouds With Extreme Scale and Density Diversity.pdf 618 | Scale-Aware Face Detection.pdf 619 | ScanNet_ Richly-Annotated 3D Reconstructions of Indoor Scenes.pdf 620 | SCC_ Semantic Context Cascade for Efficient Action Detection.pdf 621 | Scene Flow to Action Map_ A New Representation for RGB-D Based Action Recognition With Convolutional Neural Networks.pdf 622 | Scene Graph Generation by Iterative Message Passing.pdf 623 | Scene Parsing Through ADE20K Dataset.pdf 624 | Scribbler_ Controlling Deep Image Synthesis With Sketch and Color.pdf 625 | See the Forest for the Trees_ Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-Identification.pdf 626 | Seeing Into Darkness_ Scotopic Visual Recognition.pdf 627 | Seeing Invisible Poses_ Estimating 3D Body Pose From Egocentric Video.pdf 628 | Seeing What Is Not There_ Learning Context to Determine Where Objects Are Missing.pdf 629 | Self-Calibration-Based Approach to Critical Motion Sequences of Rolling-Shutter Structure From Motion.pdf 630 | Self-Critical Sequence Training for Image Captioning.pdf 631 | Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model.pdf 632 | Self-Supervised Learning of Visual Features Through Embedding Images Into Text Topic Spaces.pdf 633 | Self-Supervised Video Representation Learning With Odd-One-Out Networks.pdf 634 | Semantic Amodal Segmentation.pdf 635 | Semantic Autoencoder for Zero-Shot Learning.pdf 636 | Semantic Compositional Networks for Visual Captioning.pdf 637 | Semantic Image Inpainting With Deep Generative Models.pdf 638 | Semantic Multi-View Stereo_ Jointly Estimating Objects and Voxels.pdf 639 | Semantic Regularisation for Recurrent Image Annotation.pdf 640 | Semantic Scene Completion From a Single Depth Image.pdf 641 | Semantic Segmentation via Structured Patch Prediction, Context CRF and Guidance CRF.pdf 642 | Semantically Coherent Co-Segmentation and Reconstruction of Dynamic Scenes.pdf 643 | Semantically Consistent Regularization for Zero-Shot Recognition.pdf 644 | Semi-Calibrated Near Field Photometric Stereo.pdf 645 | Semi-Supervised Deep Learning for Monocular Depth Map Prediction.pdf 646 | Sequential Person Recognition in Photo Albums With a Recurrent Network.pdf 647 | SGM-Nets_ Semi-Global Matching With Neural Networks.pdf 648 | Shading Annotations in the Wild.pdf 649 | Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis.pdf 650 | ShapeOdds_ Variational Bayesian Learning of Generative Shape Models.pdf 651 | Simple Does It_ Weakly Supervised Instance and Semantic Segmentation.pdf 652 | Simultaneous Facial Landmark Detection, Pose and Deformation Estimation Under Facial Occlusion.pdf 653 | Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search.pdf 654 | Simultaneous Geometric and Radiometric Calibration of a Projector-Camera Pair.pdf 655 | Simultaneous Stereo Video Deblurring and Scene Flow Estimation.pdf 656 | Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images Using Weakly-Supervised Joint Convolutional Sparse Coding.pdf 657 | Simultaneous Visual Data Completion and Denoising Based on Tensor Rank and Total Variation Minimization and Its Primal-Dual Splitting Algorithm.pdf 658 | Single Image Reflection Suppression.pdf 659 | Skeleton Key_ Image Captioning by Skeleton-Attribute Decomposition.pdf 660 | Slow Flow_ Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data.pdf 661 | Snapshot Hyperspectral Light Field Imaging.pdf 662 | Social Scene Understanding_ End-To-End Multi-Person Action Localization and Collective Activity Recognition.pdf 663 | Soft-Margin Mixture of Regressions.pdf 664 | Spatial-Semantic Image Search by Visual Feature Synthesis.pdf 665 | Spatially Adaptive Computation Time for Residual Networks.pdf 666 | Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes.pdf 667 | Spatio-Temporal Alignment of Non-Overlapping Sequences From Independently Panning Cameras.pdf 668 | Spatio-Temporal Naive-Bayes Nearest-Neighbor (ST-NBNN) for Skeleton-Based Action Recognition.pdf 669 | Spatio-Temporal Self-Organizing Map Deep Network for Dynamic Object Detection From Videos.pdf 670 | Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos.pdf 671 | Spatiotemporal Multiplier Networks for Video Action Recognition.pdf 672 | Spatiotemporal Pyramid Network for Video Action Recognition.pdf 673 | Specular Highlight Removal in Facial Images.pdf 674 | Speed_Accuracy Trade-Offs for Modern Convolutional Object Detectors.pdf 675 | SPFTN_ A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos.pdf 676 | SphereFace_ Deep Hypersphere Embedding for Face Recognition.pdf 677 | Spindle Net_ Person Re-Identification With Human Body Region Guided Feature Decomposition and Fusion.pdf 678 | Split-Brain Autoencoders_ Unsupervised Learning by Cross-Channel Prediction.pdf 679 | Sports Field Localization via Deep Structured Models.pdf 680 | SRN_ Side-output Residual Network for Object Symmetry Detection in the Wild.pdf 681 | SST_ Single-Stream Temporal Action Proposals.pdf 682 | Stacked Generative Adversarial Networks.pdf 683 | STD2P_ RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling.pdf 684 | Stereo-Based 3D Reconstruction of Dynamic Fluid Surfaces by Global Optimization.pdf 685 | Straight to Shapes_ Real-Time Detection of Encoded Shapes.pdf 686 | StyleBank_ An Explicit Representation for Neural Image Style Transfer.pdf 687 | StyleNet_ Generating Attractive Visual Captions With Styles.pdf 688 | Subspace Clustering via Variance Regularized Ridge Regression.pdf 689 | Superpixel-Based Tracking-By-Segmentation Using Markov Chains.pdf 690 | Superpixels and Polygons Using Simple Non-Iterative Clustering.pdf 691 | Supervising Neural Attention Models for Video Captioning by Human Gaze Data.pdf 692 | Surface Motion Capture Transfer With Gaussian Process Regression.pdf 693 | SurfNet_ Generating 3D Shape Surfaces Using Deep Residual Networks.pdf 694 | Surveillance Video Parsing With Single Frame Supervision.pdf 695 | Switching Convolutional Neural Network for Crowd Counting.pdf 696 | SyncSpecCNN_ Synchronized Spectral CNN for 3D Shape Segmentation.pdf 697 | Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes With Deep Generative Networks.pdf 698 | Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet.pdf 699 | Synthesizing Normalized Faces From Facial Identity Features.pdf 700 | Task-Driven Dynamic Fusion_ Reducing Ambiguity in Video Description.pdf 701 | Teaching Compositionality to CNNs.pdf 702 | Template Matching With Deformable Diversity Similarity.pdf 703 | Template-Based Monocular 3D Recovery of Elastic Shapes Using Lagrangian Multipliers.pdf 704 | Temporal Action Co-Segmentation in 3D Motion Capture Data and Videos.pdf 705 | Temporal Action Localization by Structured Maximal Sums.pdf 706 | Temporal Attention-Gated Model for Robust Sequence Classification.pdf 707 | Temporal Convolutional Networks for Action Segmentation and Detection.pdf 708 | Temporal Residual Networks for Dynamic Scene Recognition.pdf 709 | TGIF-QA_ Toward Spatio-Temporal Reasoning in Visual Question Answering.pdf 710 | The Amazing Mysteries of the Gutter_ Drawing Inferences Between Panels in Comic Book Narratives.pdf 711 | The Geometry of First-Returning Photons for Non-Line-Of-Sight Imaging.pdf 712 | The Impact of Typicality for Informative Representative Selection.pdf 713 | The Incremental Multiresolution Matrix Factorization Algorithm.pdf 714 | The Misty Three Point Algorithm for Relative Pose.pdf 715 | The More You Know_ Using Knowledge Graphs for Image Classification.pdf 716 | The Surfacing of Multiview 3D Drawings via Lofting and Occlusion Reasoning.pdf 717 | The VQA-Machine_ Learning How to Use Existing Vision Algorithms to Answer New Questions.pdf 718 | The World of Fast Moving Objects.pdf 719 | Thin-Slicing Network_ A Deep Structured Model for Pose Estimation in Videos.pdf 720 | Top-Down Visual Saliency Guided by Captions.pdf 721 | Toroidal Constraints for Two-Point Localization Under High Outlier Ratios.pdf 722 | Towards a Quality Metric for Dense Light Fields.pdf 723 | Towards Accurate Multi-Person Pose Estimation in the Wild.pdf 724 | Tracking by Natural Language Specification.pdf 725 | Training Object Class Detectors With Click Supervision.pdf 726 | Transformation-Grounded Image Generation Network for Novel 3D View Synthesis.pdf 727 | Transition Forests_ Learning Discriminative Temporal Transitions for Action Recognition and Detection.pdf 728 | Truncated Max-Of-Convex Models.pdf 729 | 欢迎关注【计算机视觉联盟】微信公众号获取更多内容! 730 | Turning an Urban Scene Video Into a Cinemagraph.pdf 731 | Ubernet_ Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory.pdf 732 | UltraStereo_ Efficient Learning-Based Matching for Active Stereo Systems.pdf 733 | Unambiguous Text Localization and Retrieval for Cluttered Scenes.pdf 734 | Understanding Traffic Density From Large-Scale Web Camera Data.pdf 735 | Unified Embedding and Metric Learning for Zero-Exemplar Event Detection.pdf 736 | Unite the People_ Closing the Loop Between 3D and 2D Human Representations.pdf 737 | Universal Adversarial Perturbations.pdf 738 | Unrolling the Shutter_ CNN to Correct Motion Distortions.pdf 739 | Unsupervised Adaptive Re-Identification in Open World Dynamic Camera Networks.pdf 740 | Unsupervised Learning of Depth and Ego-Motion From Video.pdf 741 | Unsupervised Learning of Long-Term Motion Dynamics for Videos.pdf 742 | Unsupervised Monocular Depth Estimation With Left-Right Consistency.pdf 743 | Unsupervised Part Learning for Visual Recognition.pdf 744 | Unsupervised Pixel-Level Domain Adaptation With Generative Adversarial Networks.pdf 745 | Unsupervised Semantic Scene Labeling for Streaming Data.pdf 746 | Unsupervised Vanishing Point Detection and Camera Calibration From a Single Manhattan Image With Radial Distortion.pdf 747 | Unsupervised Video Summarization With Adversarial LSTM Networks.pdf 748 | Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos.pdf 749 | UntrimmedNets for Weakly Supervised Action Recognition and Detection.pdf 750 | Using Locally Corresponding CAD Models for Dense 3D Reconstructions From a Single Image.pdf 751 | Using Ranking-CNN for Age Estimation.pdf 752 | Variational Autoencoded Regression_ High Dimensional Regression of Visual Data on Complex Manifold.pdf 753 | Variational Bayesian Multiple Instance Learning With Gaussian Processes.pdf 754 | Video Acceleration Magnification.pdf 755 | Video Captioning With Transferred Semantic Attributes.pdf 756 | Video Desnowing and Deraining Based on Matrix Decomposition.pdf 757 | Video Frame Interpolation via Adaptive Convolution.pdf 758 | Video Propagation Networks.pdf 759 | Video Segmentation via Multiple Granularity Analysis.pdf 760 | Video2Shop_ Exact Matching Clothes in Videos to Online Shopping Images.pdf 761 | VidLoc_ A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization.pdf 762 | ViP-CNN_ Visual Phrase Guided Convolutional Neural Network.pdf 763 | Viraliency_ Pooling Local Virality.pdf 764 | Visual Dialog.pdf 765 | Visual Translation Embedding Network for Visual Relation Detection.pdf 766 | Visual-Inertial-Semantic Scene Representation for 3D Object Detection.pdf 767 | Weakly Supervised Action Learning With RNN Based Fine-To-Coarse Modeling.pdf 768 | Weakly Supervised Actor-Action Segmentation via Robust Multi-Task Ranking.pdf 769 | Weakly Supervised Affordance Detection.pdf 770 | Weakly Supervised Cascaded Convolutional Networks.pdf 771 | 欢迎关注【计算机视觉联盟】微信公众号获取更多内容! 772 | Weakly Supervised Dense Video Captioning.pdf 773 | Weakly Supervised Semantic Segmentation Using Web-Crawled Videos.pdf 774 | Weakly-Supervised Visual Grounding of Phrases With Linguistic Structures.pdf 775 | Webly Supervised Semantic Segmentation.pdf 776 | Weighted-Entropy-Based Quantization for Deep Neural Networks.pdf 777 | Wetness and Color From a Single Multispectral Image.pdf 778 | What Can Help Pedestrian Detection_.pdf 779 | What Is and What Is Not a Salient Object_ Learning Salient Object Detector by Ensembling Linear Exemplar Regressors.pdf 780 | What Is the Space of Attenuation Coefficients in Underwater Computer Vision_.pdf 781 | What's in a Question_ Using Visual Questions as a Form of Supervision.pdf 782 | Why You Should Forget Luminance Conversion and Do Something Better.pdf 783 | WILDCAT_ Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation.pdf 784 | WSISA_ Making Survival Prediction From Whole Slide Histopathological Images.pdf 785 | Xception_ Deep Learning With Depthwise Separable Convolutions.pdf 786 | YOLO9000_ Better, Faster, Stronger.pdf 787 | YouTube-BoundingBoxes_ A Large High-Precision Human-Annotated Data Set for Object Detection in Video.pdf 788 | Zero Shot Learning via Multi-Scale Manifold Regularization.pdf 789 | Zero-Shot Action Recognition With Error-Correcting Output Codes.pdf 790 | Zero-Shot Classification With Discriminative Semantic Representation Learning.pdf 791 | Zero-Shot Learning - the Good, the Bad and the Ugly.pdf 792 | Zero-Shot Recognition Using Dual Visual-Semantic Mapping Paths.pdf 793 | -------------------------------------------------------------------------------- /CVPR 2018/CVPR 2018 Paper: -------------------------------------------------------------------------------- 1 | CVPR 2018 论文下载链接： 2 | 链接：https://pan.baidu.com/s/1C6RsNHiGYh6KSy3Jf6JFrw 3 | 提取码：1yuz 4 | -------------------------------------------------------------------------------- /CVPR 2018/CVPR 2018 Paper List: -------------------------------------------------------------------------------- 1 | 关注【计算机视觉联盟】微信公众号获取更多内容！ 2 | cvpr18-2D 3D Pose Estimation and Action Recognition Using Multitask Deep Learning.pdf 3 | cvpr18-3D Human Pose Estimation in the Wild by Adversarial Learning.pdf 4 | cvpr18-3D Human Sensing, Action and Emotion Recognition in Robot Assisted Therapy of Children With Autism.pdf 5 | cvpr18-3D Object Detection With Latent Support Surfaces.pdf 6 | cvpr18-3D Pose Estimation and 3D Model Retrieval for Objects in the Wild.pdf 7 | cvpr18-3D Registration of Curves and Surfaces Using Local Differential Information.pdf 8 | cvpr18-3D Semantic Segmentation With Submanifold Sparse Convolutional Networks.pdf 9 | cvpr18-3D Semantic Trajectory Reconstruction From 3D Pixel Continuum.pdf 10 | cvpr18-3D-RCNN Instance-Level 3D Object Reconstruction via Render-and-Compare.pdf 11 | cvpr18-4D Human Body Correspondences From Panoramic Depth Maps.pdf 12 | cvpr18-4DFAB A Large Scale 4D Database for Facial Expression Analysis and Biometric Applications.pdf 13 | cvpr18-A Bi-Directional Message Passing Model for Salient Object Detection.pdf 14 | cvpr18-A Biresolution Spectral Framework for Product Quantization.pdf 15 | cvpr18-A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects.pdf 16 | cvpr18-A Certifiably Globally Optimal Solution to the Non-Minimal Relative Pose Problem.pdf 17 | cvpr18-A Closer Look at Spatiotemporal Convolutions for Action Recognition.pdf 18 | cvpr18-A Common Framework for Interactive Texture Transfer.pdf 19 | cvpr18-A Constrained Deep Neural Network for Ordinal Regression.pdf 20 | cvpr18-A Deeper Look at Power Normalizations.pdf 21 | cvpr18-A Face-to-Face Neural Conversation Model.pdf 22 | cvpr18-A Fast Resection-Intersection Method for the Known Rotation Problem.pdf 23 | cvpr18-A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts.pdf 24 | cvpr18-A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation.pdf 25 | cvpr18-A High-Quality Denoising Dataset for Smartphone Cameras.pdf 26 | cvpr18-A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping.pdf 27 | cvpr18-A Low Power, High Throughput, Fully Event-Based Stereo System.pdf 28 | cvpr18-A Memory Network Approach for Story-Based Temporal Summarization of 360° Videos.pdf 29 | cvpr18-A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds.pdf 30 | cvpr18-A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation.pdf 31 | cvpr18-A Neural Multi-Sequence Alignment TeCHnique (NeuMATCH).pdf 32 | cvpr18-A Papier-Maché Approach to Learning 3D Surface Generation.pdf 33 | cvpr18-A Perceptual Measure for Deep Single Image Camera Calibration.pdf 34 | cvpr18-A PID Controller Approach for Stochastic Optimization of Deep Networks.pdf 35 | cvpr18-A Pose-Sensitive Embedding for Person Re-Identification With Expanded Cross Neighborhood Re-Ranking.pdf 36 | cvpr18-A Prior-Less Method for Multi-Face Tracking in Unconstrained Videos.pdf 37 | cvpr18-A Revised Underwater Image Formation Model.pdf 38 | cvpr18-A Robust Method for Strong Rolling Shutter Effects Correction Using Lines With Automatic Feature Selection.pdf 39 | cvpr18-A Two-Step Disentanglement Method.pdf 40 | cvpr18-A Twofold Siamese Network for Real-Time Object Tracking.pdf 41 | cvpr18-A Unifying Contrast Maximization Framework for Event Cameras, With Applications to Motion, Depth, and Optical Flow Estimation.pdf 42 | cvpr18-A Variational U-Net for Conditional Appearance and Shape Generation.pdf 43 | cvpr18-A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos.pdf 44 | cvpr18-A2-RL Aesthetics Aware Reinforcement Learning for Image Cropping.pdf 45 | cvpr18-Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective.pdf 46 | cvpr18-Action Sets Weakly Supervised Action Segmentation Without Ordering Constraints.pdf 47 | cvpr18-Active Fixation Control to Predict Saccade Sequences.pdf 48 | cvpr18-Actor and Action Video Segmentation From a Sentence.pdf 49 | cvpr18-Actor and Observer Joint Modeling of First and Third-Person Videos.pdf 50 | cvpr18-AdaDepth Unsupervised Content Congruent Adaptation for Depth Estimation.pdf 51 | cvpr18-Adversarial Complementary Learning for Weakly Supervised Object Localization.pdf 52 | cvpr18-Adversarial Data Programming Using GANs to Relax the Bottleneck of Curated Labeled Data.pdf 53 | cvpr18-Adversarial Feature Augmentation for Unsupervised Domain Adaptation.pdf 54 | cvpr18-Adversarially Learned One-Class Classifier for Novelty Detection.pdf 55 | cvpr18-Adversarially Occluded Samples for Person Re-Identification.pdf 56 | cvpr18-Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation.pdf 57 | cvpr18-Alive Caricature From 2D to 3D.pdf 58 | cvpr18-Alternating-Stereo VINS Observability Analysis and Performance Evaluation.pdf 59 | cvpr18-AMNet Memorability Estimation With Attention.pdf 60 | cvpr18-An Analysis of Scale Invariance in Object Detection - SNIP.pdf 61 | cvpr18-An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption.pdf 62 | cvpr18-An End-to-End TextSpotter With Explicit Alignment and Attention.pdf 63 | cvpr18-An Unsupervised Learning Model for Deformable Medical Image Registration.pdf 64 | cvpr18-Analysis of Hand Segmentation in the Wild.pdf 65 | cvpr18-Analytic Expressions for Probabilistic Moments of PL-DNN With Gaussian Input.pdf 66 | cvpr18-Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras.pdf 67 | cvpr18-Analyzing Filters Toward Efficient ConvNet.pdf 68 | cvpr18-Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation.pdf 69 | cvpr18-Anticipating Traffic Accidents With Adaptive Loss and Large-Scale Incident DB.pdf 70 | cvpr18-AON Towards Arbitrarily-Oriented Text Recognition.pdf 71 | cvpr18-Aperture Supervision for Monocular Depth Estimation.pdf 72 | cvpr18-Appearance-and-Relation Networks for Video Classification.pdf 73 | cvpr18-Arbitrary Style Transfer With Deep Feature Reshuffle.pdf 74 | cvpr18-Are You Talking to Me Reasoned Visual Dialog Generation Through Adversarial Learning.pdf 75 | cvpr18-Art of Singular Vectors and Universal Adversarial Perturbations.pdf 76 | cvpr18-Attend and Interact Higher-Order Object Interactions for Video Understanding.pdf 77 | cvpr18-Attention Clusters Purely Attention Based Local Feature Integration for Video Classification.pdf 78 | cvpr18-Attention-Aware Compositional Network for Person Re-Identification.pdf 79 | cvpr18-Attentional ShapeContextNet for Point Cloud Recognition.pdf 80 | cvpr18-Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification.pdf 81 | cvpr18-Attentive Generative Adversarial Network for Raindrop Removal From a Single Image.pdf 82 | cvpr18-AttnGAN Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks.pdf 83 | cvpr18-Audio to Body Dynamics.pdf 84 | cvpr18-Augmented Skeleton Space Transfer for Depth-Based Hand Pose Estimation.pdf 85 | cvpr18-Augmenting Crowd-Sourced 3D Reconstructions Using Semantic Detections.pdf 86 | cvpr18-Automatic 3D Indoor Scene Modeling From Single Panorama.pdf 87 | cvpr18-AVA A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions.pdf 88 | cvpr18-Avatar-Net Multi-Scale Zero-Shot Style Transfer by Feature Decoration.pdf 89 | cvpr18-Baseline Desensitizing in Translation Averaging.pdf 90 | cvpr18-Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions.pdf 91 | cvpr18-Between-Class Learning for Image Classification.pdf 92 | cvpr18-Beyond Grobner Bases Basis Selection for Minimal Solvers.pdf 93 | cvpr18-Beyond Holistic Object Recognition Enriching Image Understanding With Part States.pdf 94 | cvpr18-Beyond the Pixel-Wise Loss for Topology-Aware Delineation.pdf 95 | cvpr18-Beyond Trade-Off Accelerate FCN-Based Face Detector With Higher Accuracy.pdf 96 | cvpr18-Bidirectional Attentive Fusion With Context Gating for Dense Video Captioning.pdf 97 | cvpr18-Bidirectional Retrieval Made Simple.pdf 98 | cvpr18-Bilateral Ordinal Relevance Multi-Instance Regression for Facial Action Unit Intensity Estimation.pdf 99 | cvpr18-Blazingly Fast Video Object Segmentation With Pixel-Wise Metric Learning.pdf 100 | cvpr18-Blind Predicting Similar Quality Map for Image Quality Assessment.pdf 101 | cvpr18-BlockDrop Dynamic Inference Paths in Residual Networks.pdf 102 | cvpr18-Boosting Adversarial Attacks With Momentum.pdf 103 | cvpr18-Boosting Domain Adaptation by Discovering Latent Domains.pdf 104 | cvpr18-Boosting Self-Supervised Learning via Knowledge Transfer.pdf 105 | cvpr18-Bootstrapping the Performance of Webly Supervised Semantic Segmentation.pdf 106 | cvpr18-Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering.pdf 107 | cvpr18-Boundary Flow A Siamese Network That Predicts Boundary Motion Without Training on Motion.pdf 108 | cvpr18-BPGrad Towards Global Optimality in Deep Learning via Branch and Pruning.pdf 109 | cvpr18-Burst Denoising With Kernel Prediction Networks.pdf 110 | cvpr18-Camera Pose Estimation With Unknown Principal Point.pdf 111 | cvpr18-Camera Style Adaptation for Person Re-Identification.pdf 112 | cvpr18-Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet .pdf 113 | cvpr18-CarFusion Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of Vehicles.pdf 114 | cvpr18-CartoonGAN Generative Adversarial Networks for Photo Cartoonization.pdf 115 | cvpr18-Cascade R-CNN Delving Into High Quality Object Detection.pdf 116 | cvpr18-Cascaded Pyramid Network for Multi-Person Pose Estimation.pdf 117 | cvpr18-Categorizing Concepts With Basic Level for Vision-to-Language.pdf 118 | cvpr18-CBMV A Coalesced Bidirectional Matching Volume for Disparity Estimation.pdf 119 | cvpr18-Classification-Driven Dynamic Image Enhancement.pdf 120 | cvpr18-Classifier Learning With Prior Probabilities for Facial Action Unit Recognition.pdf 121 | cvpr18-ClcNet Improving the Efficiency of Convolutional Neural Network Using Channel Local Convolutions.pdf 122 | cvpr18-CleanNet Transfer Learning for Scalable Image Classifier Training With Label Noise.pdf 123 | cvpr18-CLEAR Cumulative LEARning for One-Shot One-Class Image Recognition.pdf 124 | cvpr18-Clinical Skin Lesion Diagnosis Using Representations Inspired by Dermatologist Criteria.pdf 125 | cvpr18-CLIP-Q Deep Network Compression Learning by In-Parallel Pruning-Quantization.pdf 126 | cvpr18-ClusterNet Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information.pdf 127 | cvpr18-CNN Based Learning Using Reflection and Retinex Models for Intrinsic Image Decomposition.pdf 128 | cvpr18-CNN Driven Sparse Multi-Level B-Spline Image Registration.pdf 129 | cvpr18-CNN in MRF Video Object Segmentation via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF.pdf 130 | cvpr18-COCO-Stuff Thing and Stuff Classes in Context.pdf 131 | cvpr18-CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM.pdf 132 | cvpr18-Coding Kendall's Shape Trajectories for 3D Action Recognition.pdf 133 | cvpr18-Collaborative and Adversarial Network for Unsupervised Domain Adaptation.pdf 134 | cvpr18-Compare and Contrast Learning Prominent Visual Differences.pdf 135 | cvpr18-Compassionately Conservative Balanced Cuts for Image Segmentation.pdf 136 | cvpr18-Compressed Video Action Recognition.pdf 137 | cvpr18-CondenseNet An Efficient DenseNet Using Learned Group Convolutions.pdf 138 | cvpr18-Conditional Generative Adversarial Network for Structured Domain Adaptation.pdf 139 | cvpr18-Conditional Image-to-Image Translation.pdf 140 | cvpr18-Conditional Probability Models for Deep Image Compression.pdf 141 | cvpr18-Connecting Pixels to Privacy and Utility Automatic Redaction of Private Information in Images.pdf 142 | cvpr18-Consensus Maximization for Semantic Region Correspondences.pdf 143 | cvpr18-Content-Sensitive Supervoxels via Uniform Tessellations on Video Manifolds.pdf 144 | cvpr18-Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation.pdf 145 | cvpr18-Context Embedding Networks.pdf 146 | cvpr18-Context Encoding for Semantic Segmentation.pdf 147 | cvpr18-Context-Aware Deep Feature Compression for High-Speed Visual Tracking.pdf 148 | cvpr18-Context-Aware Synthesis for Video Frame Interpolation.pdf 149 | cvpr18-Continuous Relaxation of MAP Inference A Nonconvex Perspective.pdf 150 | cvpr18-Controllable Video Generation With Sparse Trajectories.pdf 151 | cvpr18-Convolutional Image Captioning.pdf 152 | cvpr18-Convolutional Neural Networks With Alternately Updated Clique.pdf 153 | cvpr18-Convolutional Sequence to Sequence Model for Human Dynamics.pdf 154 | cvpr18-Correlation Tracking via Joint Discrimination and Reliability Learning.pdf 155 | cvpr18-CosFace Large Margin Cosine Loss for Deep Face Recognition.pdf 156 | cvpr18-Coupled End-to-End Transfer Learning With Generalized Fisher Information.pdf 157 | cvpr18-Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning.pdf 158 | cvpr18-Creating Capsule Wardrobes From Fashion Images.pdf 159 | cvpr18-Cross-Dataset Adaptation for Visual Question Answering.pdf 160 | cvpr18-Cross-Domain Self-Supervised Multi-Task Feature Learning Using Synthetic Imagery.pdf 161 | cvpr18-Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation.pdf 162 | cvpr18-Cross-Modal Deep Variational Hand Pose Estimation.pdf 163 | cvpr18-Cross-View Image Synthesis Using Conditional GANs.pdf 164 | cvpr18-Crowd Counting via Adversarial Cross-Scale Consistency Pursuit.pdf 165 | cvpr18-Crowd Counting With Deep Negative Correlation Learning.pdf 166 | cvpr18-CRRN Multi-Scale Guided Concurrent Reflection Removal Network.pdf 167 | cvpr18-CSGNet Neural Shape Parser for Constructive Solid Geometry.pdf 168 | cvpr18-CSRNet Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes.pdf 169 | cvpr18-Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos.pdf 170 | cvpr18-Curve Reconstruction via the Global Statistics of Natural Curves.pdf 171 | cvpr18-Customized Image Narrative Generation via Interactive Visual Question Generation and Answering.pdf 172 | cvpr18-CVM-Net Cross-View Matching Network for Image-Based Ground-to-Aerial Geo-Localization.pdf 173 | cvpr18-DA-GAN Instance-Level Image Translation by Deep Attention Generative Adversarial Networks.pdf 174 | cvpr18-Data Distillation Towards Omni-Supervised Learning.pdf 175 | cvpr18-DeblurGAN Blind Motion Deblurring Using Conditional Adversarial Networks.pdf 176 | cvpr18-DecideNet Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation.pdf 177 | cvpr18-Decorrelated Batch Normalization.pdf 178 | cvpr18-Decoupled Networks.pdf 179 | cvpr18-Deep Adversarial Metric Learning.pdf 180 | cvpr18-Deep Adversarial Subspace Clustering.pdf 181 | cvpr18-Deep Back-Projection Networks for Super-Resolution.pdf 182 | cvpr18-Deep Cauchy Hashing for Hamming Space Retrieval.pdf 183 | cvpr18-Deep Cocktail Network Multi-Source Unsupervised Domain Adaptation With Category Shift.pdf 184 | cvpr18-Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation.pdf 185 | cvpr18-Deep Cross-Media Knowledge Transfer.pdf 186 | cvpr18-Deep Density Clustering of Unconstrained Faces.pdf 187 | cvpr18-Deep Depth Completion of a Single RGB-D Image.pdf 188 | cvpr18-Deep Diffeomorphic Transformer Networks.pdf 189 | cvpr18-Deep End-to-End Time-of-Flight Imaging.pdf 190 | cvpr18-Deep Extreme Cut From Extreme Points to Object Segmentation.pdf 191 | cvpr18-Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting.pdf 192 | cvpr18-Deep Group-Shuffling Random Walk for Person Re-Identification.pdf 193 | cvpr18-Deep Hashing via Discrepancy Minimization.pdf 194 | cvpr18-Deep Image Prior.pdf 195 | cvpr18-Deep Layer Aggregation.pdf 196 | cvpr18-Deep Learning of Graph Matching.pdf 197 | cvpr18-Deep Learning Under Privileged Information Using Heteroscedastic Dropout.pdf 198 | cvpr18-Deep Lesion Graphs in the Wild Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database.pdf 199 | cvpr18-Deep Marching Cubes Learning Explicit Surface Representations.pdf 200 | cvpr18-Deep Material-Aware Cross-Spectral Stereo Matching.pdf 201 | cvpr18-Deep Mutual Learning.pdf 202 | cvpr18-Deep Ordinal Regression Network for Monocular Depth Estimation.pdf 203 | cvpr18-Deep Parametric Continuous Convolutional Neural Networks.pdf 204 | cvpr18-Deep Photo Enhancer Unpaired Learning for Image Enhancement From Photographs With GANs.pdf 205 | cvpr18-Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition.pdf 206 | cvpr18-Deep Regression Forests for Age Estimation.pdf 207 | cvpr18-Deep Reinforcement Learning of Region Proposal Networks for Object Detection.pdf 208 | cvpr18-Deep Semantic Face Deblurring.pdf 209 | cvpr18-Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons.pdf 210 | cvpr18-Deep Spatial Feature Reconstruction for Partial Person Re-Identification Alignment-Free Approach.pdf 211 | cvpr18-Deep Spatio-Temporal Random Fields for Efficient Video Segmentation.pdf 212 | cvpr18-Deep Texture Manifold for Ground Terrain Recognition.pdf 213 | cvpr18-Deep Unsupervised Saliency Detection A Multiple Noisy Labeling Perspective.pdf 214 | cvpr18-Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation.pdf 215 | cvpr18-Deeply Learned Filter Response Functions for Hyperspectral Reconstruction.pdf 216 | cvpr18-DeepMVS Learning Multi-View Stereopsis.pdf 217 | cvpr18-DeepVoting A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion.pdf 218 | cvpr18-Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser.pdf 219 | cvpr18-Defense Against Universal Adversarial Perturbations.pdf 220 | cvpr18-Deflecting Adversarial Attacks With Pixel Deflection.pdf 221 | cvpr18-Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Fully Convolutional Network.pdf 222 | cvpr18-Deformable GANs for Pose-Based Human Image Generation.pdf 223 | cvpr18-Deformable Shape Completion With Graph Convolutional Autoencoders.pdf 224 | cvpr18-Deformation Aware Image Compression.pdf 225 | cvpr18-DeLS-3D Deep Localization and Segmentation With a 3D Semantic Map.pdf 226 | cvpr18-Demo2Vec Reasoning Object Affordances From Online Videos.pdf 227 | cvpr18-Dense 3D Regression for Hand Pose Estimation.pdf 228 | cvpr18-Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation.pdf 229 | cvpr18-DenseASPP for Semantic Segmentation in Street Scenes.pdf 230 | cvpr18-Densely Connected Pyramid Dehazing Network.pdf 231 | cvpr18-DensePose Dense Human Pose Estimation in the Wild.pdf 232 | cvpr18-Density Adaptive Point Set Registration.pdf 233 | cvpr18-Density-Aware Single Image De-Raining Using a Multi-Stream Dense Network.pdf 234 | cvpr18-Depth and Transient Imaging With Compressive SPAD Array Cameras.pdf 235 | cvpr18-Depth-Aware Stereo Video Retargeting.pdf 236 | cvpr18-Depth-Based 3D Hand Pose Estimation From Current Achievements to Future Goals.pdf 237 | cvpr18-Detach and Adapt Learning Cross-Domain Disentangled Deep Representation.pdf 238 | cvpr18-Detail-Preserving Pooling in Deep Networks.pdf 239 | cvpr18-Detect Globally, Refine Locally A Novel Approach to Saliency Detection.pdf 240 | cvpr18-Detect-and-Track Efficient Pose Estimation in Videos.pdf 241 | cvpr18-Detecting and Recognizing Human-Object Interactions.pdf 242 | cvpr18-Differential Attention for Visual Question Answering.pdf 243 | cvpr18-Dimensionality's Blessing Clustering Images by Underlying Distribution.pdf 244 | cvpr18-Direct Shape Regression Networks for End-to-End Face Alignment.pdf 245 | cvpr18-Direction-Aware Spatial Context Features for Shadow Detection.pdf 246 | cvpr18-Discovering Point Lights With Intensity Distance Fields.pdf 247 | cvpr18-Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs.pdf 248 | cvpr18-Discriminability Objective for Training Descriptive Captions.pdf 249 | cvpr18-Discriminative Learning of Latent Features for Zero-Shot Recognition.pdf 250 | cvpr18-Disentangled Person Image Generation.pdf 251 | cvpr18-Disentangling 3D Pose in a Dendritic CNN for Unconstrained 2D Face Alignment.pdf 252 | cvpr18-Disentangling Factors of Variation by Mixing Them.pdf 253 | cvpr18-Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition.pdf 254 | cvpr18-Disentangling Structure and Aesthetics for Style-Aware Image Completion.pdf 255 | cvpr18-Distort-and-Recover Color Enhancement Using Deep Reinforcement Learning.pdf 256 | cvpr18-Distributable Consistent Multi-Object Matching.pdf 257 | cvpr18-DiverseNet When One Right Answer Is Not Enough.pdf 258 | cvpr18-Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-Identification.pdf 259 | cvpr18-Divide and Conquer for Full-Resolution Light Field Deblurring.pdf 260 | cvpr18-Divide and Grow Capturing Huge Diversity in Crowd Images With Incrementally Growing CNN.pdf 261 | cvpr18-Document Enhancement Using Visibility Detection.pdf 262 | cvpr18-DocUNet Document Image Unwarping via a Stacked U-Net.pdf 263 | cvpr18-Domain Adaptive Faster R-CNN for Object Detection in the Wild.pdf 264 | cvpr18-Domain Generalization With Adversarial Feature Learning.pdf 265 | cvpr18-Don't Just Assume; Look and Answer Overcoming Priors for Visual Question Answering.pdf 266 | cvpr18-DOTA A Large-Scale Dataset for Object Detection in Aerial Images.pdf 267 | cvpr18-DoubleFusion Real-Time Capture of Human Performances With Inner Body Shapes From a Single Depth Sensor.pdf 268 | cvpr18-DS Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems.pdf 269 | cvpr18-Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-Identification.pdf 270 | cvpr18-Dual Skipping Networks.pdf 271 | cvpr18-Duplex Generative Adversarial Network for Unsupervised Domain Adaptation.pdf 272 | cvpr18-DVQA Understanding Data Visualizations via Question Answering.pdf 273 | cvpr18-Dynamic Feature Learning for Partial Face Recognition.pdf 274 | cvpr18-Dynamic Few-Shot Visual Learning Without Forgetting.pdf 275 | cvpr18-Dynamic Graph Generation Network Generating Relational Knowledge From Diagrams.pdf 276 | cvpr18-Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks.pdf 277 | cvpr18-Dynamic Video Segmentation Network.pdf 278 | cvpr18-Dynamic Zoom-In Network for Fast Object Detection in Large Images.pdf 279 | cvpr18-Dynamic-Structured Semantic Propagation Network.pdf 280 | cvpr18-Easy Identification From Better Constraints Multi-Shot Person Re-Identification From Reference Constraints.pdf 281 | cvpr18-Edit Probability for Scene Text Recognition.pdf 282 | cvpr18-Efficient and Deep Person Re-Identification Using Multi-Level Similarity.pdf 283 | cvpr18-Efficient Diverse Ensemble for Discriminative Co-Tracking.pdf 284 | cvpr18-Efficient Interactive Annotation of Segmentation Datasets With Polygon-RNN++.pdf 285 | cvpr18-Efficient Large-Scale Approximate Nearest Neighbor Search on OpenCL FPGA.pdf 286 | cvpr18-Efficient Optimization for Rank-Based Loss Functions.pdf 287 | cvpr18-Efficient Parametrization of Multi-Domain Deep Neural Networks.pdf 288 | cvpr18-Efficient Subpixel Refinement With Symbolic Linear Predictors.pdf 289 | cvpr18-Efficient Video Object Segmentation via Network Modulation.pdf 290 | cvpr18-Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling.pdf 291 | cvpr18-Egocentric Activity Recognition on a Budget.pdf 292 | cvpr18-Egocentric Basketball Motion Planning From a Single First-Person Image.pdf 293 | cvpr18-Eliminating Background-Bias for Robust Person Re-Identification.pdf 294 | cvpr18-Embodied Question Answering.pdf 295 | cvpr18-Emotional Attention A Study of Image Sentiment and Visual Attention.pdf 296 | cvpr18-Empirical Study of the Topology and Geometry of Deep Networks.pdf 297 | cvpr18-Encoding Crowd Interaction With Deep Neural Network for Pedestrian Trajectory Prediction.pdf 298 | cvpr18-End-to-End Convolutional Semantic Embeddings.pdf 299 | cvpr18-End-to-End Deep Kronecker-Product Matching for Person Re-Identification.pdf 300 | cvpr18-End-to-End Dense Video Captioning With Masked Transformer.pdf 301 | cvpr18-End-to-End Flow Correlation Tracking With Spatial-Temporal Attention.pdf 302 | cvpr18-End-to-End Learning of Keypoint Detector and Descriptor for Pose Invariant 3D Matching.pdf 303 | cvpr18-End-to-End Learning of Motion Representation for Video Understanding.pdf 304 | cvpr18-End-to-End Recovery of Human Shape and Pose.pdf 305 | cvpr18-End-to-End Weakly-Supervised Semantic Alignment.pdf 306 | cvpr18-Enhancing the Spatial Resolution of Stereo Images Using a Parallax Prior.pdf 307 | cvpr18-Environment Upgrade Reinforcement Learning for Non-Differentiable Multi-Stage Pipelines.pdf 308 | cvpr18-EPINET A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth From Light Field Images.pdf 309 | cvpr18-Erase or Fill Deep Joint Recurrent Rain Removal and Reconstruction in Videos.pdf 310 | cvpr18-Estimation of Camera Locations in Highly Corrupted Scenarios All About That Base, No Shape Trouble.pdf 311 | cvpr18-Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars.pdf 312 | cvpr18-Every Smile Is Unique Landmark-Guided Diverse Smile Generation.pdf 313 | cvpr18-Excitation Backprop for RNNs.pdf 314 | cvpr18-Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks.pdf 315 | cvpr18-Exploit the Unknown Gradually One-Shot Video-Based Person Re-Identification by Stepwise Learning.pdf 316 | cvpr18-Exploiting Transitivity for Learning Person Re-Identification Models on a Budget.pdf 317 | cvpr18-Exploring Disentangled Feature Representation Beyond Face Identification.pdf 318 | cvpr18-Extreme 3D Face Reconstruction Seeing Through Occlusions.pdf 319 | cvpr18-Eye In-Painting With Exemplar Generative Adversarial Networks.pdf 320 | cvpr18-Face Aging With Identity-Preserved Conditional Generative Adversarial Networks.pdf 321 | cvpr18-FaceID-GAN Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis.pdf 322 | cvpr18-Facelet-Bank for Fast Portrait Manipulation.pdf 323 | cvpr18-Facial Expression Recognition by De-Expression Residue Learning.pdf 324 | cvpr18-Factoring Shape, Pose, and Layout From the 2D Image of a 3D Scene.pdf 325 | cvpr18-Fast and Accurate Online Video Object Segmentation via Tracking Parts.pdf 326 | cvpr18-Fast and Accurate Single Image Super-Resolution via Information Distillation Network.pdf 327 | cvpr18-Fast and Furious Real Time End-to-End 3D Detection, Tracking and Motion Forecasting With a Single Convolutional Net.pdf 328 | cvpr18-Fast and Robust Estimation for Unit-Norm Constrained Linear Fitting Problems.pdf 329 | cvpr18-Fast End-to-End Trainable Guided Filter.pdf 330 | cvpr18-Fast Monte-Carlo Localization on Aerial Vehicles Using Approximate Continuous Belief Representations.pdf 331 | cvpr18-Fast Spectral Ranking for Similarity Search.pdf 332 | cvpr18-Fast Video Object Segmentation by Reference-Guided Mask Propagation.pdf 333 | cvpr18-FeaStNet Feature-Steered Graph Convolutions for 3D Shape Analysis.pdf 334 | cvpr18-Feature Generating Networks for Zero-Shot Learning.pdf 335 | cvpr18-Feature Mapping for Learning Fast and Accurate 3D Pose Inference From Synthetic Images.pdf 336 | cvpr18-Feature Quantization for Defending Against Distortion of Images.pdf 337 | cvpr18-Feature Selective Networks for Object Detection.pdf 338 | cvpr18-Feature Space Transfer for Data Augmentation.pdf 339 | cvpr18-Feature Super-Resolution Make Machine See More Clearly.pdf 340 | cvpr18-Features for Multi-Target Multi-Camera Tracking and Re-Identification.pdf 341 | cvpr18-Feedback-Prop Convolutional Neural Network Inference Under Partial Evidence.pdf 342 | cvpr18-Few-Shot Image Recognition by Predicting Parameters From Activations.pdf 343 | cvpr18-FFNet Video Fast-Forwarding via Reinforcement Learning.pdf 344 | cvpr18-Fight Ill-Posedness With Ill-Posedness Single-Shot Variational Depth Super-Resolution From Shading.pdf 345 | cvpr18-Finding It Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos.pdf 346 | cvpr18-Finding Beans in Burgers Deep Semantic-Visual Embedding With Localization.pdf 347 | cvpr18-Finding Tiny Faces in the Wild With Generative Adversarial Network.pdf 348 | cvpr18-Fine-Grained Video Captioning for Sports Narrative.pdf 349 | cvpr18-First-Person Hand Action Benchmark With RGB-D Videos and 3D Hand Pose Annotations.pdf 350 | cvpr18-Five-Point Fundamental Matrix Estimation for Uncalibrated Cameras.pdf 351 | cvpr18-FlipDial A Generative Model for Two-Way Visual Dialogue.pdf 352 | cvpr18-Flow Guided Recurrent Neural Encoder for Video Salient Object Detection.pdf 353 | cvpr18-Focal Visual-Text Attention for Visual Question Answering.pdf 354 | cvpr18-Focus Manipulation Detection via Photometric Histogram Analysis.pdf 355 | cvpr18-FoldingNet Point Cloud Auto-Encoder via Deep Grid Deformation.pdf 356 | cvpr18-Fooling Vision and Language Models Despite Localization and Attention Mechanism.pdf 357 | cvpr18-FOTS Fast Oriented Text Spotting With a Unified Network.pdf 358 | cvpr18-Frame-Recurrent Video Super-Resolution.pdf 359 | cvpr18-Free Supervision From Video Games.pdf 360 | cvpr18-From Lifestyle Vlogs to Everyday Interactions.pdf 361 | cvpr18-From Source to Target and Back Symmetric Bi-Directional Adaptive GAN.pdf 362 | cvpr18-Frustum PointNets for 3D Object Detection From RGB-D Data.pdf 363 | cvpr18-FSRNet End-to-End Learning Face Super-Resolution With Facial Priors.pdf 364 | cvpr18-Fully Convolutional Adaptation Networks for Semantic Segmentation.pdf 365 | cvpr18-Functional Map of the World.pdf 366 | cvpr18-Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes.pdf 367 | cvpr18-Future Frame Prediction for Anomaly Detection – A New Baseline.pdf 368 | cvpr18-Future Person Localization in First-Person Videos.pdf 369 | cvpr18-GAGAN Geometry-Aware Generative Adversarial Networks.pdf 370 | cvpr18-GANerated Hands for Real-Time 3D Hand Tracking From Monocular RGB.pdf 371 | cvpr18-Gated Fusion Network for Single Image Dehazing.pdf 372 | cvpr18-Gaze Prediction in Dynamic 360° Immersive Videos.pdf 373 | cvpr18-Generalized Zero-Shot Learning via Synthesized Examples.pdf 374 | cvpr18-Generate to Adapt Aligning Domains Using Generative Adversarial Networks.pdf 375 | cvpr18-Generating a Fusion Image One's Identity and Another's Shape.pdf 376 | cvpr18-Generating Synthetic X-Ray Images of a Person From the Surface Geometry.pdf 377 | cvpr18-Generative Adversarial Image Synthesis With Decision Tree Latent Controller.pdf 378 | cvpr18-Generative Adversarial Learning Towards Fast Weakly Supervised Detection.pdf 379 | cvpr18-Generative Adversarial Perturbations.pdf 380 | cvpr18-Generative Image Inpainting With Contextual Attention.pdf 381 | cvpr18-Generative Modeling Using the Sliced Wasserstein Distance.pdf 382 | cvpr18-Geometric Multi-Model Fitting With a Convex Relaxation Algorithm.pdf 383 | cvpr18-Geometric Robustness of Deep Networks Analysis and Improvement.pdf 384 | cvpr18-Geometry Aware Constrained Optimization Techniques for Deep Learning.pdf 385 | cvpr18-Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning.pdf 386 | cvpr18-Geometry-Aware Deep Network for Single-Image Novel View Synthesis.pdf 387 | cvpr18-Geometry-Aware Learning of Maps for Camera Localization.pdf 388 | cvpr18-Geometry-Aware Network for Non-Rigid Shape Prediction From a Single View.pdf 389 | cvpr18-Geometry-Aware Scene Text Detection With Instance Transformation Network.pdf 390 | cvpr18-GeoNet Geometric Neural Network for Joint Depth and Surface Normal Estimation.pdf 391 | cvpr18-GeoNet Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose.pdf 392 | cvpr18-Gesture Recognition Focus on the Hands.pdf 393 | cvpr18-Gibson Env Real-World Perception for Embodied Agents.pdf 394 | cvpr18-Glimpse Clouds Human Activity Recognition From Unstructured Feature Points.pdf 395 | cvpr18-Global Versus Localized Generative Adversarial Nets.pdf 396 | cvpr18-Globally Optimal Inlier Set Maximization for Atlanta Frame Estimation.pdf 397 | cvpr18-Going From Image to Video Saliency Augmenting Image Salience With Dynamic Attentional Push.pdf 398 | cvpr18-Good View Hunting Learning Photo Composition From Dense View Pairs.pdf 399 | cvpr18-Graph-Cut RANSAC.pdf 400 | cvpr18-GraphBit Bitwise Interaction Mining via Deep Reinforcement Learning.pdf 401 | cvpr18-Grounding Referring Expressions in Images by Variational Context.pdf 402 | cvpr18-Group Consistent Similarity Learning via Deep CRF for Person Re-Identification.pdf 403 | cvpr18-GroupCap Group-Based Image Captioning With Structured Relevance and Diversity Constraints.pdf 404 | cvpr18-Guide Me Interacting With Deep Networks.pdf 405 | cvpr18-Guided Proofreading of Automatic Segmentations for Connectomics.pdf 406 | cvpr18-GVCNN Group-View Convolutional Neural Networks for 3D Shape Recognition.pdf 407 | cvpr18-Hallucinated-IQA No-Reference Image Quality Assessment via Adversarial Learning.pdf 408 | cvpr18-Hand PointNet 3D Hand Pose Estimation Using Point Sets.pdf 409 | cvpr18-Harmonious Attention Network for Person Re-Identification.pdf 410 | cvpr18-HashGAN Deep Learning to Hash With Pair Conditional Wasserstein GAN.pdf 411 | cvpr18-Hashing as Tie-Aware Learning to Rank.pdf 412 | cvpr18-HATS Histograms of Averaged Time Surfaces for Robust Event-Based Object Classification.pdf 413 | cvpr18-Hierarchical Novelty Detection for Visual Object Recognition.pdf 414 | cvpr18-Hierarchical Recurrent Attention Networks for Structured Online Maps.pdf 415 | cvpr18-High Performance Visual Tracking With Siamese Region Proposal Network.pdf 416 | cvpr18-High-Order Tensor Regularization With Application to Attribute Ranking.pdf 417 | cvpr18-High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs.pdf 418 | cvpr18-High-Speed Tracking With Multi-Kernel Correlation Filters.pdf 419 | cvpr18-HSA-RNN Hierarchical Structure-Adaptive RNN for Video Summarization.pdf 420 | cvpr18-Human Appearance Transfer.pdf 421 | cvpr18-Human Pose Estimation With Parsing Induced Learner.pdf 422 | cvpr18-Human Semantic Parsing for Person Re-Identification.pdf 423 | cvpr18-Human-Centric Indoor Scene Synthesis Using Stochastic Grammar.pdf 424 | cvpr18-Hybrid Camera Pose Estimation.pdf 425 | cvpr18-HydraNets Specialized Dynamic Architectures for Efficient Inference.pdf 426 | cvpr18-Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning.pdf 427 | cvpr18-ICE-BA Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAM.pdf 428 | cvpr18-Illuminant Spectra-Based Source Separation Using Flash Photography.pdf 429 | cvpr18-Im2Flow Motion Hallucination From Static Images for Action Recognition.pdf 430 | cvpr18-Im2Pano3D Extrapolating 360° Structure and Semantics Beyond the Field of View.pdf 431 | cvpr18-Im2Struct Recovering 3D Shape Structure From a Single RGB Image.pdf 432 | cvpr18-Image Blind Denoising With Generative Adversarial Network Based Noise Modeling.pdf 433 | cvpr18-Image Collection Pop-Up 3D Reconstruction and Clustering of Rigid and Non-Rigid Categories.pdf 434 | cvpr18-Image Correction via Deep Reciprocating HDR Transformation.pdf 435 | cvpr18-Image Generation From Scene Graphs.pdf 436 | cvpr18-Image Restoration by Estimating Frequency Distribution of Local Patches.pdf 437 | cvpr18-Image Super-Resolution via Dual-State Recurrent Networks.pdf 438 | cvpr18-Image to Image Translation for Domain Adaptation.pdf 439 | cvpr18-Image-Image Domain Adaptation With Preserved Self-Similarity and Domain-Dissimilarity for Person Re-Identification.pdf 440 | cvpr18-Importance Weighted Adversarial Nets for Partial Domain Adaptation.pdf 441 | cvpr18-Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering.pdf 442 | cvpr18-Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks.pdf 443 | cvpr18-Improvements to Context Based Self-Supervised Learning.pdf 444 | cvpr18-Improving Color Reproduction Accuracy on Cameras.pdf 445 | cvpr18-Improving Landmark Localization With Semi-Supervised Learning.pdf 446 | cvpr18-Improving Object Localization With Fitness NMS and Bounded IoU Loss.pdf 447 | cvpr18-Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors.pdf 448 | cvpr18-In-Place Activated BatchNorm for Memory-Optimized Training of DNNs.pdf 449 | cvpr18-Independently Recurrent Neural Network (IndRNN) Building a Longer and Deeper RNN.pdf 450 | cvpr18-Indoor RGB-D Compass From a Single Line and Plane.pdf 451 | cvpr18-Inference in Higher Order MRF-MAP Problems With Small and Large Cliques.pdf 452 | cvpr18-Inferring Light Fields From Shadows.pdf 453 | cvpr18-Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis.pdf 454 | cvpr18-Inferring Shared Attention in Social Scene Videos.pdf 455 | cvpr18-InLoc Indoor Visual Localization With Dense Matching and View Synthesis.pdf 456 | cvpr18-Instance Embedding Transfer to Unsupervised Video Object Segmentation.pdf 457 | cvpr18-Interactive Image Segmentation With Latent Diversity.pdf 458 | cvpr18-Interleaved Structured Sparse Convolutional Neural Networks.pdf 459 | cvpr18-Interpret Neural Networks by Identifying Critical Data Routing Paths.pdf 460 | cvpr18-Interpretable Convolutional Neural Networks.pdf 461 | cvpr18-Interpretable Video Captioning via Trajectory Structured Localization.pdf 462 | cvpr18-Intrinsic Image Transformation via Scale Space Decomposition.pdf 463 | cvpr18-Inverse Composition Discriminative Optimization for Point Cloud Registration.pdf 464 | cvpr18-InverseFaceNet Deep Monocular Inverse Face Rendering.pdf 465 | cvpr18-IQA Visual Question Answering in Interactive Environments.pdf 466 | cvpr18-ISTA-Net Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing.pdf 467 | cvpr18-Iterative Learning With Open-Set Noisy Labels.pdf 468 | cvpr18-Iterative Visual Reasoning Beyond Convolutions.pdf 469 | cvpr18-IVQA Inverse Visual Question Answering.pdf 470 | cvpr18-Jerk-Aware Video Acceleration Magnification.pdf 471 | cvpr18-Joint Cuts and Matching of Partitions in One Graph.pdf 472 | cvpr18-Joint Optimization Framework for Learning With Noisy Labels.pdf 473 | cvpr18-Joint Pose and Expression Modeling for Facial Expression Recognition.pdf 474 | cvpr18-Jointly Localizing and Describing Events for Dense Video Captioning.pdf 475 | cvpr18-Jointly Optimize Data Augmentation and Network Training Adversarial Data Augmentation in Human Pose Estimation.pdf 476 | cvpr18-Kernelized Subspace Pooling for Deep Local Descriptors.pdf 477 | cvpr18-KIPPI KInetic Polygonal Partitioning of Images.pdf 478 | cvpr18-Knowledge Aided Consistency for Weakly Supervised Phrase Grounding.pdf 479 | cvpr18-Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces.pdf 480 | cvpr18-LAMV Learning to Align and Match Videos With Kernelized Temporal Layers.pdf 481 | cvpr18-Language-Based Image Editing With Recurrent Attentive Models.pdf 482 | cvpr18-Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning.pdf 483 | cvpr18-Large-Scale Distance Metric Learning With Uncertainty.pdf 484 | cvpr18-Large-Scale Point Cloud Semantic Segmentation With Superpoint Graphs.pdf 485 | cvpr18-Latent RANSAC.pdf 486 | cvpr18-LayoutNet Reconstructing the 3D Room Layout From a Single RGB Image.pdf 487 | cvpr18-LDMNet Low Dimensional Manifold Regularized Neural Networks.pdf 488 | cvpr18-Lean Multiclass Crowdsourcing.pdf 489 | cvpr18-Learned Shape-Tailored Descriptors for Segmentation.pdf 490 | cvpr18-Learning 3D Shape Completion From Laser Scan Data With Weak Supervision.pdf 491 | cvpr18-Learning a Complete Image Indexing Pipeline.pdf 492 | cvpr18-Learning a Discriminative Feature Network for Semantic Segmentation.pdf 493 | cvpr18-Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition.pdf 494 | cvpr18-Learning a Discriminative Prior for Blind Image Deblurring.pdf 495 | cvpr18-Learning a Single Convolutional Super-Resolution Network for Multiple Degradations.pdf 496 | cvpr18-Learning and Using the Arrow of Time.pdf 497 | cvpr18-Learning Answer Embeddings for Visual Question Answering.pdf 498 | cvpr18-Learning Attentions Residual Attentional Siamese Network for High Performance Online Visual Tracking.pdf 499 | cvpr18-Learning Attribute Representations With Localization for Flexible Fashion Search.pdf 500 | cvpr18-Learning by Asking Questions.pdf 501 | cvpr18-Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition.pdf 502 | cvpr18-Learning Compositional Visual Concepts With Mutual Consistency.pdf 503 | cvpr18-Learning Compressible 360° Video Isomers.pdf 504 | cvpr18-Learning Convolutional Networks for Content-Weighted Image Compression.pdf 505 | cvpr18-Learning Deep Descriptors With Scale-Aware Triplet Networks.pdf 506 | cvpr18-Learning Deep Models for Face Anti-Spoofing Binary or Auxiliary Supervision.pdf 507 | cvpr18-Learning Deep Sketch Abstraction.pdf 508 | cvpr18-Learning Deep Structured Active Contours End-to-End.pdf 509 | cvpr18-Learning Depth From Monocular Videos Using Direct Methods.pdf 510 | cvpr18-Learning Descriptor Networks for 3D Shape Synthesis and Analysis.pdf 511 | cvpr18-Learning Distributions of Shape Trajectories From Longitudinal Datasets A Hierarchical Model on a Manifold of Diffeomorphisms.pdf 512 | cvpr18-Learning Dual Convolutional Neural Networks for Low-Level Vision.pdf 513 | cvpr18-Learning Face Age Progression A Pyramid Architecture of GANs.pdf 514 | cvpr18-Learning Facial Action Units From Web Images With Scalable Weakly Supervised Clustering.pdf 515 | cvpr18-Learning for Disparity Estimation Through Feature Constancy.pdf 516 | cvpr18-Learning From Millions of 3D Scans for Large-Scale 3D Face Recognition.pdf 517 | cvpr18-Learning From Noisy Web Data With Category-Level Supervision.pdf 518 | cvpr18-Learning From Synthetic Data Addressing Domain Shift for Semantic Segmentation.pdf 519 | cvpr18-Learning Generative ConvNets via Multi-Grid Modeling and Sampling.pdf 520 | cvpr18-Learning Globally Optimized Object Detector via Policy Gradient.pdf 521 | cvpr18-Learning Intelligent Dialogs for Bounding Box Annotation.pdf 522 | cvpr18-Learning Intrinsic Image Decomposition From Watching the World.pdf 523 | cvpr18-Learning Latent Super-Events to Detect Multiple Activities in Videos.pdf 524 | cvpr18-Learning Less Is More - 6D Camera Localization via 3D Surface Regression.pdf 525 | cvpr18-Learning Markov Clustering Networks for Scene Text Detection.pdf 526 | cvpr18-Learning Monocular 3D Human Pose Estimation From Multi-View Images.pdf 527 | cvpr18-Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l1-Norm Distances.pdf 528 | cvpr18-Learning Patch Reconstructability for Accelerating Multi-View Stereo.pdf 529 | cvpr18-Learning Pixel-Level Semantic Affinity With Image-Level Supervision for Weakly Supervised Semantic Segmentation.pdf 530 | cvpr18-Learning Pose Specific Representations by Predicting Different Views.pdf 531 | cvpr18-Learning Rich Features for Image Manipulation Detection.pdf 532 | cvpr18-Learning Semantic Concepts and Order for Image and Sentence Matching.pdf 533 | cvpr18-Learning Spatial-Aware Regressions for Visual Tracking.pdf 534 | cvpr18-Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking.pdf 535 | cvpr18-Learning Steerable Filters for Rotation Equivariant CNNs.pdf 536 | cvpr18-Learning Strict Identity Mappings in Deep Residual Networks.pdf 537 | cvpr18-Learning Structure and Strength of CNN Filters for Small Sample Size Training.pdf 538 | cvpr18-Learning Superpixels With Segmentation-Aware Affinity Loss.pdf 539 | cvpr18-Learning Time Memory-Efficient Deep Architectures With Budgeted Super Networks.pdf 540 | cvpr18-Learning to Act Properly Predicting and Explaining Affordances From Images.pdf 541 | cvpr18-Learning to Adapt Structured Output Space for Semantic Segmentation.pdf 542 | cvpr18-Learning to Compare Relation Network for Few-Shot Learning.pdf 543 | cvpr18-Learning to Detect Features in Texture Images.pdf 544 | cvpr18-Learning to Estimate 3D Human Pose and Shape From a Single Color Image.pdf 545 | cvpr18-Learning to Evaluate Image Captioning.pdf 546 | cvpr18-Learning to Extract a Video Sequence From a Single Motion-Blurred Image.pdf 547 | cvpr18-Learning to Find Good Correspondences.pdf 548 | cvpr18-Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks.pdf 549 | cvpr18-Learning to Localize Sound Source in Visual Scenes.pdf 550 | cvpr18-Learning to Look Around Intelligently Exploring Unseen Environments for Unknown Tasks.pdf 551 | cvpr18-Learning to Parse Wireframes in Images of Man-Made Environments.pdf 552 | cvpr18-Learning to Promote Saliency Detectors.pdf 553 | cvpr18-Learning to See in the Dark.pdf 554 | cvpr18-Learning to Segment Every Thing.pdf 555 | cvpr18-Learning to Sketch With Shortcut Cycle Consistency.pdf 556 | cvpr18-Learning to Understand Image Blur.pdf 557 | cvpr18-Learning Transferable Architectures for Scalable Image Recognition.pdf 558 | cvpr18-Learning Visual Knowledge Memory Networks for Visual Question Answering.pdf 559 | cvpr18-Left-Right Comparative Recurrent Model for Stereo Matching.pdf 560 | cvpr18-LEGO Learning Edge With Geometry All at Once by Watching Videos.pdf 561 | cvpr18-Leveraging Unlabeled Data for Crowd Counting by Learning to Rank.pdf 562 | cvpr18-LiDAR-Video Driving Dataset Learning Driving Policies Effectively.pdf 563 | cvpr18-Light Field Intrinsics With a Deep Encoder-Decoder Network.pdf 564 | cvpr18-Lightweight Probabilistic Deep Networks.pdf 565 | cvpr18-LIME Live Intrinsic Material Estimation.pdf 566 | cvpr18-Link and Code Fast Indexing With Graphs and Compact Regression Codes.pdf 567 | cvpr18-Lions and Tigers and Bears Capturing Non-Rigid, 3D, Articulated Shape From Images.pdf 568 | cvpr18-LiteFlowNet A Lightweight Convolutional Neural Network for Optical Flow Estimation.pdf 569 | cvpr18-Local and Global Optimization Techniques in Graph-Based Clustering.pdf 570 | cvpr18-Local Descriptors Optimized for Average Precision.pdf 571 | cvpr18-Logo Synthesis and Manipulation With Clustered Generative Adversarial Networks.pdf 572 | cvpr18-Long-Term On-Board Prediction of People in Traffic Scenes Under Uncertainty.pdf 573 | cvpr18-Look at Boundary A Boundary-Aware Face Alignment Algorithm.pdf 574 | cvpr18-Look, Imagine and Match Improving Textual-Visual Cross-Modal Retrieval With Generative Models.pdf 575 | cvpr18-Lose the Views Limited Angle CT Reconstruction via Implicit Sinogram Completion.pdf 576 | cvpr18-Low-Latency Video Semantic Segmentation.pdf 577 | cvpr18-Low-Shot Learning From Imaginary Data.pdf 578 | cvpr18-Low-Shot Learning With Imprinted Weights.pdf 579 | cvpr18-Low-Shot Learning With Large-Scale Diffusion.pdf 580 | cvpr18-LSTM Pose Machines.pdf 581 | cvpr18-M3 Multimodal Memory Modelling for Video Captioning.pdf 582 | cvpr18-Making Convolutional Networks Recurrent for Visual Sequence Learning.pdf 583 | cvpr18-Manifold Learning in Quotient Spaces.pdf 584 | cvpr18-MapNet An Allocentric Spatial Memory for Mapping Environments.pdf 585 | cvpr18-Mask-Guided Contrastive Attention Model for Person Re-Identification.pdf 586 | cvpr18-MaskLab Instance Segmentation by Refining Object Detection With Semantic and Direction Features.pdf 587 | cvpr18-Matching Adversarial Networks.pdf 588 | cvpr18-Matching Pixels Using Co-Occurrence Statistics.pdf 589 | cvpr18-Matryoshka Networks Predicting 3D Geometry via Nested Shape Layers.pdf 590 | cvpr18-MAttNet Modular Attention Network for Referring Expression Comprehension.pdf 591 | cvpr18-Maximum Classifier Discrepancy for Unsupervised Domain Adaptation.pdf 592 | cvpr18-Mean-Variance Loss for Deep Age Estimation From a Face.pdf 593 | cvpr18-MegaDepth Learning Single-View Depth Prediction From Internet Photos.pdf 594 | cvpr18-MegDet A Large Mini-Batch Object Detector.pdf 595 | cvpr18-Memory Based Online Learning of Deep Representations From Video Streams.pdf 596 | cvpr18-Memory Matching Networks for One-Shot Image Recognition.pdf 597 | cvpr18-Mesoscopic Facial Geometry Inference Using Deep Neural Networks.pdf 598 | cvpr18-MiCT Mixed 3D 2D Convolutional Tube for Human Action Recognition.pdf 599 | cvpr18-Min-Entropy Latent Model for Weakly Supervised Object Detection.pdf 600 | cvpr18-Mining on Manifolds Metric Learning Without Labels.pdf 601 | cvpr18-Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling.pdf 602 | cvpr18-Missing Slice Recovery for Tensors Using a Low-Rank Model in Embedded Space.pdf 603 | cvpr18-Mix and Match Networks Encoder-Decoder Alignment for Zero-Pair Image Translation.pdf 604 | cvpr18-Mobile Video Object Detection With Temporally-Aware Feature Maps.pdf 605 | cvpr18-MobileNetV2 Inverted Residuals and Linear Bottlenecks.pdf 606 | cvpr18-MoCoGAN Decomposing Motion and Content for Video Generation.pdf 607 | cvpr18-Modeling Facial Geometry Using Compositional VAEs.pdf 608 | cvpr18-Modifying Non-Local Variations Across Multiple Views.pdf 609 | cvpr18-Modulated Convolutional Networks.pdf 610 | cvpr18-MoNet Deep Motion Exploitation for Video Object Segmentation.pdf 611 | cvpr18-MoNet Moments Embedding Network.pdf 612 | cvpr18-Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes - The Importance of Multiple Scene Constraints.pdf 613 | cvpr18-Monocular Relative Depth Perception With Web Stereo Data Supervision.pdf 614 | cvpr18-MorphNet Fast & Simple Resource-Constrained Structure Learning of Deep Networks.pdf 615 | cvpr18-Motion Segmentation by Exploiting Complementary Geometric Models.pdf 616 | cvpr18-Motion-Appearance Co-Memory Networks for Video Question Answering.pdf 617 | cvpr18-Motion-Guided Cascaded Refinement Network for Video Object Segmentation.pdf 618 | cvpr18-MovieGraphs Towards Understanding Human-Centric Situations From Videos.pdf 619 | cvpr18-Multi-Agent Diverse Generative Adversarial Networks.pdf 620 | cvpr18-Multi-Cell Detection and Classification Using a Generative Convolutional Model.pdf 621 | cvpr18-Multi-Content GAN for Few-Shot Font Style Transfer.pdf 622 | cvpr18-Multi-Cue Correlation Filters for Robust Visual Tracking.pdf 623 | cvpr18-Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning.pdf 624 | cvpr18-Multi-Frame Quality Enhancement for Compressed Video.pdf 625 | cvpr18-Multi-Image Semantic Matching by Mining Consistent Features.pdf 626 | cvpr18-Multi-Label Zero-Shot Learning With Structured Knowledge Graphs.pdf 627 | cvpr18-Multi-Level Factorisation Net for Person Re-Identification.pdf 628 | cvpr18-Multi-Level Fusion Based 3D Object Detection From Monocular Images.pdf 629 | cvpr18-Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation.pdf 630 | cvpr18-Multi-Scale Location-Aware Kernel Representation for Object Detection.pdf 631 | cvpr18-Multi-Scale Weighted Nuclear Norm Image Restoration.pdf 632 | cvpr18-Multi-Shot Pedestrian Re-Identification via Sequential Decision Making.pdf 633 | cvpr18-Multi-Task Adversarial Network for Disentangled Feature Learning.pdf 634 | cvpr18-Multi-Task Learning by Maximizing Statistical Dependence.pdf 635 | cvpr18-Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics.pdf 636 | cvpr18-Multi-View Consistency as Supervisory Signal for Learning Shape and Pose Prediction.pdf 637 | cvpr18-Multi-View Harmonized Bilinear Network for 3D Object Recognition.pdf 638 | cvpr18-Multimodal Explanations Justifying Decisions and Pointing to the Evidence.pdf 639 | cvpr18-Multimodal Visual Concept Learning With Weakly Supervised Techniques.pdf 640 | cvpr18-Multiple Granularity Group Interaction Prediction.pdf 641 | cvpr18-Multispectral Image Intrinsic Decomposition via Subspace Constraint.pdf 642 | cvpr18-Multistage Adversarial Losses for Pose-Based Human Image Synthesis.pdf 643 | cvpr18-MX-LSTM Mixing Tracklets and Vislets to Jointly Forecast Trajectories and Head Poses.pdf 644 | cvpr18-NAG Network for Adversary Generation.pdf 645 | cvpr18-Natural and Effective Obfuscation by Head Inpainting.pdf 646 | cvpr18-NestedNet Learning Nested Sparse Structures in Deep Neural Networks.pdf 647 | cvpr18-Net2Vec Quantifying and Explaining How Concepts Are Encoded by Filters in Deep Neural Networks.pdf 648 | cvpr18-Neural 3D Mesh Renderer.pdf 649 | cvpr18-Neural Baby Talk.pdf 650 | cvpr18-Neural Kinematic Networks for Unsupervised Motion Retargetting.pdf 651 | cvpr18-Neural Motifs Scene Graph Parsing With Global Context.pdf 652 | cvpr18-Neural Sign Language Translation.pdf 653 | cvpr18-Neural Style Transfer via Meta Networks.pdf 654 | cvpr18-NeuralNetwork-Viterbi A Framework for Weakly Supervised Video Learning.pdf 655 | cvpr18-NISP Pruning Networks Using Neuron Importance Score Propagation.pdf 656 | cvpr18-Non-Blind Deblurring Handling Kernel Uncertainty With CNNs.pdf 657 | cvpr18-Non-Linear Temporal Subspace Representations for Activity Recognition.pdf 658 | cvpr18-Non-Local Neural Networks.pdf 659 | cvpr18-Nonlinear 3D Face Morphable Model.pdf 660 | cvpr18-Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration.pdf 661 | cvpr18-Normalized Cut Loss for Weakly-Supervised CNN Segmentation.pdf 662 | cvpr18-Now You Shake Me Towards Automatic 4D Cinema.pdf 663 | cvpr18-OATM Occlusion Aware Template Matching by Consensus Set Maximization.pdf 664 | cvpr18-Object Referring in Videos With Language and Human Gaze.pdf 665 | cvpr18-Objects as Context for Detecting Their Semantic Parts.pdf 666 | cvpr18-Occluded Pedestrian Detection Through Guided Attention in CNNs.pdf 667 | cvpr18-Occlusion Aware Unsupervised Learning of Optical Flow.pdf 668 | cvpr18-Occlusion-Aware Rolling Shutter Rectification of 3D Scenes.pdf 669 | cvpr18-OLé Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning.pdf 670 | cvpr18-On the Convergence of PatchMatch and Its Variants.pdf 671 | cvpr18-On the Duality Between Retinex and Image Dehazing.pdf 672 | cvpr18-On the Importance of Label Quality for Semantic Segmentation.pdf 673 | cvpr18-On the Robustness of Semantic Segmentation Models to Adversarial Attacks.pdf 674 | cvpr18-One-Shot Action Localization by Learning Sequence Matching Network.pdf 675 | cvpr18-Optical Flow Guided Feature A Fast and Robust Motion Representation for Video Action Recognition.pdf 676 | cvpr18-Optimal Structured Light à La Carte.pdf 677 | cvpr18-Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition.pdf 678 | cvpr18-Optimizing Video Object Detection via a Scale-Time Lattice.pdf 679 | cvpr18-Ordinal Depth Supervision for 3D Human Pose Estimation.pdf 680 | cvpr18-PackNet Adding Multiple Tasks to a Single Network by Iterative Pruning.pdf 681 | cvpr18-PAD-Net Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing.pdf 682 | cvpr18-PairedCycleGAN Asymmetric Style Transfer for Applying and Removing Makeup.pdf 683 | cvpr18-Parallel Attention A Unified Framework for Visual Object Discovery Through Dialogs and Queries.pdf 684 | cvpr18-Partial Transfer Learning With Selective Adversarial Networks.pdf 685 | cvpr18-Partially Shared Multi-Task Convolutional Neural Network With Local Constraint for Face Attribute Learning.pdf 686 | cvpr18-Path Aggregation Network for Instance Segmentation.pdf 687 | cvpr18-People, Penguins and Petri Dishes Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting.pdf 688 | cvpr18-Person Re-Identification With Cascaded Pairwise Convolutions.pdf 689 | cvpr18-Person Transfer GAN to Bridge Domain Gap for Person Re-Identification.pdf 690 | cvpr18-Perturbative Neural Networks.pdf 691 | cvpr18-PhaseNet for Video Frame Interpolation.pdf 692 | cvpr18-Photographic Text-to-Image Synthesis With a Hierarchically-Nested Adversarial Network.pdf 693 | cvpr18-Photometric Stereo in Participating Media Considering Shape-Dependent Forward Scatter.pdf 694 | cvpr18-PiCANet Learning Pixel-Wise Contextual Attention for Saliency Detection.pdf 695 | cvpr18-PieAPP Perceptual Image-Error Assessment Through Pairwise Preference.pdf 696 | cvpr18-Pix3D Dataset and Methods for Single-Image 3D Shape Modeling.pdf 697 | cvpr18-Pixels, Voxels, and Views A Study of Shape Representations for Single View 3D Object Shape Prediction.pdf 698 | cvpr18-PIXOR Real-Time 3D Object Detection From Point Clouds.pdf 699 | cvpr18-Planar Shape Detection at Structural Scales.pdf 700 | cvpr18-PlaneNet Piece-Wise Planar Reconstruction From a Single RGB Image.pdf 701 | cvpr18-PointFusion Deep Sensor Fusion for 3D Bounding Box Estimation.pdf 702 | cvpr18-PointGrid A Deep Network for 3D Shape Understanding.pdf 703 | cvpr18-PointNetVLAD Deep Point Cloud Based Retrieval for Large-Scale Place Recognition.pdf 704 | cvpr18-Pointwise Convolutional Neural Networks.pdf 705 | cvpr18-Polarimetric Dense Monocular SLAM.pdf 706 | cvpr18-pOSE Pseudo Object Space Error for Initialization-Free Bundle Adjustment.pdf 707 | cvpr18-Pose Transferrable Person Re-Identification.pdf 708 | cvpr18-Pose-Guided Photorealistic Face Rotation.pdf 709 | cvpr18-Pose-Robust Face Recognition via Deep Residual Equivariant Mapping.pdf 710 | cvpr18-PoseFlow A Deep Motion Representation for Understanding Human Behaviors in Videos.pdf 711 | cvpr18-PoseTrack A Benchmark for Human Pose Estimation and Tracking.pdf 712 | cvpr18-PoTion Pose MoTion Representation for Action Recognition.pdf 713 | cvpr18-PPFNet Global Context Aware Local Features for Robust 3D Point Matching.pdf 714 | cvpr18-Practical Block-Wise Neural Network Architecture Generation.pdf 715 | cvpr18-Preserving Semantic Relations for Zero-Shot Learning.pdf 716 | cvpr18-Probabilistic Joint Face-Skull Modelling for Facial Reconstruction.pdf 717 | cvpr18-Probabilistic Plant Modeling via Multi-View Image-to-Image Translation.pdf 718 | cvpr18-Progressive Attention Guided Recurrent Network for Salient Object Detection.pdf 719 | cvpr18-Progressively Complementarity-Aware Fusion Network for RGB-D Salient Object Detection.pdf 720 | cvpr18-Pseudo Mask Augmented Object Detection.pdf 721 | cvpr18-PU-Net Point Cloud Upsampling Network.pdf 722 | cvpr18-Pulling Actions out of Context Explicit Separation for Effective Combination.pdf 723 | cvpr18-PWC-Net CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume.pdf 724 | cvpr18-Pyramid Stereo Matching Network.pdf 725 | cvpr18-Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference.pdf 726 | cvpr18-Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation.pdf 727 | cvpr18-R-FCN-3000 at 30fps Decoupling Detection and Classification.pdf 728 | cvpr18-Radially-Distorted Conjugate Translations.pdf 729 | cvpr18-RayNet Learning Volumetric 3D Reconstruction With Ray Potentials.pdf 730 | cvpr18-Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation.pdf 731 | cvpr18-Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation via Image Style Transfer.pdf 732 | cvpr18-Real-Time Rotation-Invariant Face Detection With Progressive Calibration Networks.pdf 733 | cvpr18-Real-Time Seamless Single Shot 6D Object Pose Prediction.pdf 734 | cvpr18-Real-World Anomaly Detection in Surveillance Videos.pdf 735 | cvpr18-Real-World Repetition Estimation by Div, Grad and Curl.pdf 736 | cvpr18-Recognize Actions by Disentangling Components of Dynamics.pdf 737 | cvpr18-Recognizing Human Actions as the Evolution of Pose Estimation Maps.pdf 738 | cvpr18-Reconstructing Thin Structures of Manifold Surfaces by Integrating Spatial Curves.pdf 739 | cvpr18-Reconstruction Network for Video Captioning.pdf 740 | cvpr18-Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform.pdf 741 | cvpr18-Recurrent Pixel Embedding for Instance Grouping.pdf 742 | cvpr18-Recurrent Residual Module for Fast Inference in Videos.pdf 743 | cvpr18-Recurrent Saliency Transformation Network Incorporating Multi-Stage Visual Cues for Small Organ Segmentation.pdf 744 | cvpr18-Recurrent Scene Parsing With Perspective Understanding in the Loop.pdf 745 | cvpr18-Recurrent Slice Networks for 3D Segmentation of Point Clouds.pdf 746 | cvpr18-Referring Image Segmentation via Recurrent Refinement Networks.pdf 747 | cvpr18-Referring Relationships.pdf 748 | cvpr18-Reflection Removal for Large-Scale 3D Point Clouds.pdf 749 | cvpr18-Regularizing Deep Networks by Modeling and Predicting Label Structure.pdf 750 | cvpr18-Regularizing RNNs for Caption Generation by Reconstructing the Past With the Present.pdf 751 | cvpr18-Reinforcement Cutting-Agent Learning for Video Object Segmentation.pdf 752 | cvpr18-Relation Networks for Object Detection.pdf 753 | cvpr18-Representing and Learning High Dimensional Data With the Optimal Transport Map From a Probabilistic Viewpoint.pdf 754 | cvpr18-Repulsion Loss Detecting Pedestrians in a Crowd.pdf 755 | cvpr18-Residual Dense Network for Image Super-Resolution.pdf 756 | cvpr18-Residual Parameter Transfer for Deep Domain Adaptation.pdf 757 | cvpr18-Resource Aware Person Re-Identification Across Multiple Resolutions.pdf 758 | cvpr18-Rethinking Feature Distribution for Loss Functions in Image Classification.pdf 759 | cvpr18-Rethinking the Faster R-CNN Architecture for Temporal Action Localization.pdf 760 | cvpr18-Revisiting Deep Intrinsic Image Decompositions.pdf 761 | cvpr18-Revisiting Dilated Convolution A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation.pdf 762 | cvpr18-Revisiting Knowledge Transfer for Training Object Class Detectors.pdf 763 | cvpr18-Revisiting Oxford and Paris Large-Scale Image Retrieval Benchmarking.pdf 764 | cvpr18-Revisiting Salient Object Detection Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects.pdf 765 | cvpr18-Revisiting Video Saliency A Large-Scale Benchmark and a New Model.pdf 766 | cvpr18-Reward Learning From Narrated Demonstrations.pdf 767 | cvpr18-Ring Loss Convex Feature Normalization for Face Recognition.pdf 768 | cvpr18-ROAD Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes.pdf 769 | cvpr18-RoadTracer Automatic Extraction of Road Networks From Aerial Images.pdf 770 | cvpr18-Robust Classification With Convolutional Prototype Learning.pdf 771 | cvpr18-Robust Depth Estimation From Auto Bracketed Images.pdf 772 | cvpr18-Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network.pdf 773 | cvpr18-Robust Hough Transform Based 3D Reconstruction From Circular Light Fields.pdf 774 | cvpr18-Robust Physical-World Attacks on Deep Learning Visual Classification.pdf 775 | cvpr18-Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework.pdf 776 | cvpr18-Rolling Shutter and Radial Distortion Are Features for High Frame Rate Multi-Camera Tracking.pdf 777 | cvpr18-Rotation Averaging and Strong Duality.pdf 778 | cvpr18-Rotation-Sensitive Regression for Oriented Scene Text Detection.pdf 779 | cvpr18-RotationNet Joint Object Categorization and Pose Estimation Using Multiviews From Unsupervised Viewpoints.pdf 780 | cvpr18-Salience Guided Depth Calibration for Perceptually Optimized Compressive Light Field 3D Display.pdf 781 | cvpr18-Salient Object Detection Driven by Fixation Prediction.pdf 782 | cvpr18-SBNet Sparse Blocks Network for Fast Inference.pdf 783 | cvpr18-Scalable and Effective Deep CCA via Soft Decorrelation.pdf 784 | cvpr18-Scalable Dense Non-Rigid Structure-From-Motion A Grassmannian Perspective.pdf 785 | cvpr18-Scale-Recurrent Network for Deep Image Deblurring.pdf 786 | cvpr18-Scale-Transferrable Object Detection.pdf 787 | cvpr18-ScanComplete Large-Scale Scene Completion and Semantic Segmentation for 3D Scans.pdf 788 | cvpr18-SeedNet Automatic Seed Generation With Deep Reinforcement Learning for Robust Interactive Segmentation.pdf 789 | cvpr18-Seeing Small Faces From Robust Anchor's Perspective.pdf 790 | cvpr18-Seeing Temporal Modulation of Lights From Standard Cameras.pdf 791 | cvpr18-Seeing Voices and Hearing Faces Cross-Modal Biometric Matching.pdf 792 | cvpr18-SeGAN Segmenting and Generating the Invisible.pdf 793 | cvpr18-Self-Calibrating Polarising Radiometric Calibration.pdf 794 | cvpr18-Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval.pdf 795 | cvpr18-Self-Supervised Feature Learning by Learning to Spot Artifacts.pdf 796 | cvpr18-Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection.pdf 797 | cvpr18-Self-Supervised Multi-Level Face Model Learning for Monocular Reconstruction at Over 250 Hz.pdf 798 | cvpr18-Semantic Video Segmentation by Gated Recurrent Flow Propagation.pdf 799 | cvpr18-Semantic Visual Localization.pdf 800 | cvpr18-Semi-Parametric Image Synthesis.pdf 801 | cvpr18-SemStyle Learning to Generate Stylised Image Captions Using Unaligned Text.pdf 802 | cvpr18-Separating Self-Expression and Visual Content in Hashtag Supervision.pdf 803 | cvpr18-Separating Style and Content for Generalized Style Transfer.pdf 804 | cvpr18-SfSNet Learning Shape, Reflectance and Illuminance of Faces `in the Wild'.pdf 805 | cvpr18-SGAN An Alternative Training of Generative Adversarial Networks.pdf 806 | cvpr18-SGPN Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation.pdf 807 | cvpr18-Shape From Shading Through Shape Evolution.pdf 808 | cvpr18-Shift A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions.pdf 809 | cvpr18-Show Me a Story Towards Coherent Neural Story Illustration.pdf 810 | cvpr18-ShuffleNet An Extremely Efficient Convolutional Neural Network for Mobile Devices.pdf 811 | cvpr18-Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control.pdf 812 | cvpr18-Single Image Dehazing via Conditional Generative Adversarial Network.pdf 813 | cvpr18-Single Image Reflection Separation With Perceptual Losses.pdf 814 | cvpr18-Single View Stereo Matching.pdf 815 | cvpr18-Single-Image Depth Estimation Based on Fourier Domain Analysis.pdf 816 | cvpr18-Single-Shot Object Detection With Enriched Semantics.pdf 817 | cvpr18-Single-Shot Refinement Neural Network for Object Detection.pdf 818 | cvpr18-SINT++ Robust Visual Tracking via Adversarial Positive Instance Generation.pdf 819 | cvpr18-Sketch-a-Classifier Sketch-Based Photo Classifier Generation.pdf 820 | cvpr18-SketchMate Deep Hashing for Million-Scale Human Sketch Retrieval.pdf 821 | cvpr18-SketchyGAN Towards Diverse and Realistic Sketch to Image Synthesis.pdf 822 | cvpr18-Sliced Wasserstein Distance for Learning Gaussian Mixture Models.pdf 823 | cvpr18-Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning.pdf 824 | cvpr18-SO-Net Self-Organizing Network for Point Cloud Analysis.pdf 825 | cvpr18-SobolevFusion 3D Reconstruction of Scenes Undergoing Free Non-Rigid Motion.pdf 826 | cvpr18-Soccer on Your Tabletop.pdf 827 | cvpr18-Social GAN Socially Acceptable Trajectories With Generative Adversarial Networks.pdf 828 | cvpr18-Solving the Perspective-2-Point Problem for Flying-Camera Photo Composition.pdf 829 | cvpr18-SoS-RSC A Sum-of-Squares Polynomial Approach to Robustifying Subspace Clustering Algorithms.pdf 830 | cvpr18-Sparse Photometric 3D Face Reconstruction Guided by Morphable Models.pdf 831 | cvpr18-Sparse, Smart Contours to Represent and Edit Images.pdf 832 | cvpr18-Spatially-Adaptive Filter Units for Deep Neural Networks.pdf 833 | cvpr18-SPLATNet Sparse Lattice Networks for Point Cloud Processing.pdf 834 | cvpr18-Spline Error Weighting for Robust Visual-Inertial Fusion.pdf 835 | cvpr18-SplineCNN Fast Geometric Deep Learning With Continuous B-Spline Kernels.pdf 836 | cvpr18-Squeeze-and-Excitation Networks.pdf 837 | cvpr18-SSNet Scale Selection Network for Online 3D Action Prediction.pdf 838 | cvpr18-ST-GAN Spatial Transformer Generative Adversarial Networks for Image Compositing.pdf 839 | cvpr18-Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal.pdf 840 | cvpr18-Stacked Latent Attention for Multimodal Reasoning.pdf 841 | cvpr18-StarGAN Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation.pdf 842 | cvpr18-Statistical Tomography of Microscopic Life.pdf 843 | cvpr18-Stereoscopic Neural Style Transfer.pdf 844 | cvpr18-Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks.pdf 845 | cvpr18-Stochastic Variational Inference With Gradient Linearization.pdf 846 | cvpr18-Structure From Recurrent Motion From Rigidity to Recurrency.pdf 847 | cvpr18-Structure Inference Net Object Detection Using Scene-Level Context and Instance-Level Relationships.pdf 848 | cvpr18-Structure Preserving Video Prediction.pdf 849 | cvpr18-Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation.pdf 850 | cvpr18-Structured Set Matching Networks for One-Shot Part Labeling.pdf 851 | cvpr18-Structured Uncertainty Prediction Networks.pdf 852 | cvpr18-Style Aggregated Network for Facial Landmark Detection.pdf 853 | cvpr18-Super SloMo High Quality Estimation of Multiple Intermediate Frames for Video Interpolation.pdf 854 | cvpr18-Super-FAN Integrated Facial Landmark Localization and Super-Resolution of Real-World Low Resolution Faces in Arbitrary Poses With GANs.pdf 855 | cvpr18-Super-Resolving Very Low-Resolution Face Images With Supplementary Attributes.pdf 856 | cvpr18-Supervision-by-Registration An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors.pdf 857 | cvpr18-Surface Networks.pdf 858 | cvpr18-SurfConv Bridging 3D and 2D Convolution for RGBD Images.pdf 859 | cvpr18-Synthesizing Images of Humans in Unseen Poses.pdf 860 | cvpr18-SYQ Learning Symmetric Quantization for Efficient Deep Neural Networks.pdf 861 | cvpr18-Tagging Like Humans Diverse and Distinct Image Annotation.pdf 862 | cvpr18-Tags2Parts Discovering Semantic Regions From Shape Tags.pdf 863 | cvpr18-Tangent Convolutions for Dense Prediction in 3D.pdf 864 | cvpr18-Taskonomy Disentangling Task Transfer Learning.pdf 865 | cvpr18-Teaching Categories to Human Learners With Visual Explanations.pdf 866 | cvpr18-Tell Me Where to Look Guided Attention Inference Network.pdf 867 | cvpr18-Temporal Deformable Residual Networks for Action Segmentation in Videos.pdf 868 | cvpr18-Temporal Hallucinating for Action Recognition With Few Still Images.pdf 869 | cvpr18-Tensorize, Factorize and Regularize Robust Visual Relationship Learning.pdf 870 | cvpr18-Textbook Question Answering Under Instructor Guidance With Memory Networks.pdf 871 | cvpr18-Texture Mapping for 3D Reconstruction With RGB-D Sensor.pdf 872 | cvpr18-TextureGAN Controlling Deep Image Synthesis With Texture Patches.pdf 873 | cvpr18-The Best of Both Worlds Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation.pdf 874 | cvpr18-The INaturalist Species Classification and Detection Dataset.pdf 875 | cvpr18-The LováSz-Softmax Loss A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks.pdf 876 | cvpr18-The Perception-Distortion Tradeoff.pdf 877 | cvpr18-The Power of Ensembles for Active Learning in Image Classification.pdf 878 | cvpr18-The Unreasonable Effectiveness of Deep Features as a Perceptual Metric.pdf 879 | cvpr18-Thoracic Disease Identification and Localization With Limited Supervision.pdf 880 | cvpr18-Through-Wall Human Pose Estimation Using Radio Signals.pdf 881 | cvpr18-TieNet Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays.pdf 882 | cvpr18-Time-Resolved Light Transport Decomposition for Thermal Photometric Stereo.pdf 883 | cvpr18-Tips and Tricks for Visual Question Answering Learnings From the 2017 Challenge.pdf 884 | cvpr18-TOM-Net Learning Transparent Object Matting From a Single Image.pdf 885 | cvpr18-Total Capture A 3D Deformation Model for Tracking Faces, Hands, and Bodies.pdf 886 | cvpr18-Toward Driving Scene Understanding A Dataset for Learning Driver Behavior and Causal Reasoning.pdf 887 | cvpr18-Towards a Mathematical Understanding of the Difficulty in Learning With Feedforward Neural Networks.pdf 888 | cvpr18-Towards Dense Object Tracking in a 2D Honeybee Hive.pdf 889 | cvpr18-Towards Effective Low-Bitwidth Convolutional Neural Networks.pdf 890 | cvpr18-Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization.pdf 891 | cvpr18-Towards High Performance Video Object Detection.pdf 892 | cvpr18-Towards Human-Machine Cooperation Self-Supervised Sample Mining for Object Detection.pdf 893 | cvpr18-Towards Open-Set Identity Preserving Face Synthesis.pdf 894 | cvpr18-Towards Pose Invariant Face Recognition in the Wild.pdf 895 | cvpr18-Towards Universal Representation for Unseen Action Recognition.pdf 896 | cvpr18-Tracking Multiple Objects Outside the Line of Sight Using Speckle Imaging.pdf 897 | cvpr18-Transductive Unbiased Embedding for Zero-Shot Learning.pdf 898 | cvpr18-Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification.pdf 899 | cvpr18-Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network.pdf 900 | cvpr18-Transparency by Design Closing the Gap Between Performance and Interpretability in Visual Reasoning.pdf 901 | cvpr18-Trapping Light for Time of Flight.pdf 902 | cvpr18-Triplet-Center Loss for Multi-View 3D Object Retrieval.pdf 903 | cvpr18-Trust Your Model Light Field Depth Estimation With Inline Occlusion Handling.pdf 904 | cvpr18-Two Can Play This Game Visual Dialog With Discriminative Question Generation and Answering.pdf 905 | cvpr18-Two-Step Quantization for Low-Bit Neural Networks.pdf 906 | cvpr18-Two-Stream Convolutional Networks for Dynamic Texture Synthesis.pdf 907 | cvpr18-Uncalibrated Photometric Stereo Under Natural Illumination.pdf 908 | cvpr18-Unifying Identification and Context Learning for Person Recognition.pdf 909 | cvpr18-Universal Denoising Networks A Novel CNN Architecture for Image Denoising.pdf 910 | cvpr18-Unsupervised Correlation Analysis.pdf 911 | cvpr18-Unsupervised Cross-Dataset Person Re-Identification by Transfer Learning of Spatial-Temporal Patterns.pdf 912 | cvpr18-Unsupervised Deep Generative Adversarial Hashing Network.pdf 913 | cvpr18-Unsupervised Discovery of Object Landmarks as Structural Representations.pdf 914 | cvpr18-Unsupervised Domain Adaptation With Similarity Learning.pdf 915 | cvpr18-Unsupervised Feature Learning via Non-Parametric Instance Discrimination.pdf 916 | cvpr18-Unsupervised Learning and Segmentation of Complex Activities From Video.pdf 917 | cvpr18-Unsupervised Learning of Depth and Ego-Motion From Monocular Video Using 3D Geometric Constraints.pdf 918 | cvpr18-Unsupervised Learning of Monocular Depth Estimation and Visual Odometry With Deep Feature Reconstruction.pdf 919 | cvpr18-Unsupervised Person Image Synthesis in Arbitrary Poses.pdf 920 | cvpr18-Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution.pdf 921 | cvpr18-Unsupervised Textual Grounding Linking Words to Image Concepts.pdf 922 | cvpr18-Unsupervised Training for 3D Morphable Model Regression.pdf 923 | cvpr18-UV-GAN Adversarial Facial UV Map Completion for Pose-Invariant Face Recognition.pdf 924 | cvpr18-V2V-PoseNet Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation From a Single Depth Map.pdf 925 | cvpr18-Variational Autoencoders for Deforming 3D Mesh Models.pdf 926 | cvpr18-Very Large-Scale Global SfM by Distributed Motion Averaging.pdf 927 | cvpr18-Video Based Reconstruction of 3D People Models.pdf 928 | cvpr18-Video Captioning via Hierarchical Reinforcement Learning.pdf 929 | cvpr18-Video Person Re-Identification With Competitive Snippet-Similarity Aggregation and Co-Attentive Snippet Embedding.pdf 930 | cvpr18-Video Rain Streak Removal by Multiscale Convolutional Sparse Coding.pdf 931 | cvpr18-Video Representation Learning Using Discriminative Pooling.pdf 932 | cvpr18-View Extrapolation of Human Body From a Single Image.pdf 933 | cvpr18-Viewpoint-Aware Attentive Multi-View Inference for Vehicle Re-Identification.pdf 934 | cvpr18-Viewpoint-Aware Video Summarization.pdf 935 | cvpr18-VirtualHome Simulating Household Activities via Programs.pdf 936 | cvpr18-Vision-and-Language Navigation Interpreting Visually-Grounded Navigation Instructions in Real Environments.pdf 937 | cvpr18-Visual Feature Attribution Using Wasserstein GANs.pdf 938 | cvpr18-Visual Grounding via Accumulated Attention.pdf 939 | cvpr18-Visual Question Answering With Memory-Augmented Networks.pdf 940 | cvpr18-Visual Question Generation as Dual Task of Visual Question Answering.pdf 941 | cvpr18-Visual Question Reasoning on General Dependency Tree.pdf 942 | cvpr18-Visual to Sound Generating Natural Sound for Videos in the Wild.pdf 943 | cvpr18-VITAL VIsual Tracking via Adversarial Learning.pdf 944 | cvpr18-VITON An Image-Based Virtual Try-On Network.pdf 945 | cvpr18-VizWiz Grand Challenge Answering Visual Questions From Blind People.pdf 946 | cvpr18-VoxelNet End-to-End Learning for Point Cloud Based 3D Object Detection.pdf 947 | cvpr18-W2F A Weakly-Supervised to Fully-Supervised Framework for Object Detection.pdf 948 | cvpr18-Wasserstein Introspective Neural Networks.pdf 949 | cvpr18-Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer.pdf 950 | cvpr18-Weakly Supervised Action Localization by Sparse Temporal Pooling Network.pdf 951 | cvpr18-Weakly Supervised Coupled Networks for Visual Sentiment Analysis.pdf 952 | cvpr18-Weakly Supervised Facial Action Unit Recognition Through Adversarial Training.pdf 953 | cvpr18-Weakly Supervised Instance Segmentation Using Class Peak Response.pdf 954 | cvpr18-Weakly Supervised Learning of Single-Cell Feature Embeddings.pdf 955 | cvpr18-Weakly Supervised Phrase Localization With Multi-Scale Anchored Transformer Network.pdf 956 | cvpr18-Weakly-Supervised Action Segmentation With Iterative Soft Boundary Assignment.pdf 957 | cvpr18-Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation.pdf 958 | cvpr18-Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features.pdf 959 | cvpr18-Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region Growing.pdf 960 | cvpr18-Webly Supervised Learning Meets Zero-Shot Learning A Hybrid Approach for Fine-Grained Classification.pdf 961 | cvpr18-What Do Deep Networks Like to See .pdf 962 | cvpr18-What Have We Learned From Deep Representations for Action Recognition .pdf 963 | cvpr18-What Makes a Video a Video Analyzing Temporal Information in Video Understanding Models and Datasets.pdf 964 | cvpr18-When Will You Do What - Anticipating Temporal Occurrences of Activities.pdf 965 | cvpr18-Where and Why Are They Looking Jointly Inferring Human Attention and Intentions in Complex Tasks.pdf 966 | cvpr18-Who Let the Dogs Out Modeling Dog Behavior From Visual Data.pdf 967 | cvpr18-Who's Better Who's Best Pairwise Deep Ranking for Skill Determination.pdf 968 | cvpr18-Wide Compression Tensor Ring Nets.pdf 969 | cvpr18-WILDTRACK A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection.pdf 970 | cvpr18-Wing Loss for Robust Facial Landmark Localisation With Convolutional Neural Networks.pdf 971 | cvpr18-Wrapped Gaussian Process Regression on Riemannian Manifolds.pdf 972 | cvpr18-xUnit Learning a Spatial Activation Function for Efficient Image Restoration.pdf 973 | cvpr18-Zero-Shot Kernel Learning.pdf 974 | cvpr18-Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs.pdf 975 | cvpr18-Zero-Shot Sketch-Image Hashing.pdf 976 | cvpr18-Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks.pdf 977 | cvpr18-Zigzag Learning for Weakly Supervised Object Detection.pdf 978 | cvpr18-Zoom and Learn Generalizing Deep Stereo Matching to Novel Domains.pdf 979 | cvpr18-“Learning-Compression” Algorithms for Neural Net Pruning.pdf 980 | cvpr18-“Zero-Shot” Super-Resolution Using Deep Internal Learning.pdf 981 | -------------------------------------------------------------------------------- /CVPR 2019/CVPR 2019 Paper: -------------------------------------------------------------------------------- 1 | CVPR 2019所有论文下载链接！ 2 | 链接：https://pan.baidu.com/s/1ACp2GpoTlJlNC8e-BLRKWQ 3 | 提取码：sotr 4 | -------------------------------------------------------------------------------- /CVPR2020/README.md: -------------------------------------------------------------------------------- 1 | ## 公众号【计算机视觉联盟】后台回复 CVPR2020 下载最新论文 2 | ### 往年的请回复 CVPR2019 3 | 4 | ## CVPR 2020 5 | 6 | ### 目标检测 7 | 1. Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection 8 | 论文地址：https://arxiv.org/abs/1912.02424 9 | 代码：https://github.com/sfzhang15/ATSS 10 | 11 | 2. Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector 12 | 论文地址：https://arxiv.org/abs/1908.01998 13 | 14 | ### 图像分割 15 | 1. Semi-Supervised Semantic Image Segmentation with Self-correcting Networks 16 | 论文地址：https://arxiv.org/abs/1811.07073 17 | 18 | 2. Deep Snake for Real-Time Instance Segmentation 19 | 论文地址：https://arxiv.org/abs/2001.01629 20 | 21 | 3. CenterMask : Real-Time Anchor-Free Instance Segmentation 22 | 论文地址：https://arxiv.org/abs/1911.06667 23 | 代码：https://github.com/youngwanLEE/CenterMask 24 | 25 | 4. SketchGCN: Semantic Sketch Segmentation with Graph Convolutional Networks 26 | 论文地址：https://arxiv.org/abs/2003.00678 27 | 28 | 5. PolarMask: Single Shot Instance Segmentation with Polar Representation 29 | 论文地址：https://arxiv.org/abs/1909.13226 30 | 代码：https://github.com/xieenze/PolarMask 31 | 32 | 6. xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation 33 | 论文地址：https://arxiv.org/abs/1911.12676 34 | 35 | 7. BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation 36 | 论文地址：https://arxiv.org/abs/2001.00309 37 | 38 | ### 人脸识别 39 | 1. Towards Universal Representation Learning for Deep Face Recognition 40 | 论文地址：https://arxiv.org/abs/2002.11841 41 | 42 | 2. Suppressing Uncertainties for Large-Scale Facial Expression Recognition 43 | 论文地址：https://arxiv.org/abs/2002.10392 44 | 代码：https://github.com/kaiwang960112/Self-Cure-Network 45 | 46 | 3.Face X-ray for More General Face Forgery Detection 47 | 论文地址：https://arxiv.org/pdf/1912.13458.pdf 48 | 49 | ### 目标跟踪 50 | 1.ROAM: Recurrently Optimizing Tracking Model 51 | 论文地址：https://arxiv.org/abs/1907.12006 52 | 53 | ### 三维点云&重建 54 | 1. PF-Net: Point Fractal Network for 3D Point Cloud Completion 55 | 论文地址：https://arxiv.org/abs/2003.00410 56 | 57 | 2. PointAugment: an Auto-Augmentation Framework for Point Cloud Classification 58 | 论文地址：https://arxiv.org/abs/2002.10876 59 | 代码：https://github.com/liruihui/PointAugment/ 60 | 61 | 3.Learning multiview 3D point cloud registration 62 | 论文地址：https://arxiv.org/abs/2001.05119 63 | 64 | 4. C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds 65 | 论文地址：https://arxiv.org/abs/1912.07009 66 | 67 | 5. RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds 68 | 论文地址：https://arxiv.org/abs/1911.11236 69 | 70 | 6. Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image 71 | 论文地址：https://arxiv.org/abs/2002.12212 72 | 73 | 7. Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion 74 | 论文地址：https://arxiv.org/abs/2003.01456 75 | 76 | 8. In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction from 2D Landmarks 77 | 论文地址：https://arxiv.org/pdf/1911.11924.pdf 78 | 79 | ### 姿态估计 80 | 1. VIBE: Video Inference for Human Body Pose and Shape Estimation 81 | 论文地址：https://arxiv.org/abs/1912.05656 82 | 代码：https://github.com/mkocabas/VIBE 83 | 84 | 2. Distribution-Aware Coordinate Representation for Human Pose Estimation 85 | 论文地址：https://arxiv.org/abs/1910.06278 86 | 代码：https://github.com/ilovepose/DarkPose 87 | 88 | 3. 4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras 89 | 论文地址：https://arxiv.org/abs/2002.12625 90 | 91 | 4. Optimal least-squares solution to the hand-eye calibration problem 92 | 论文地址：https://arxiv.org/abs/2002.10838 93 | 94 | 5. D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry 95 | 论文地址：https://arxiv.org/abs/2003.01060 96 | 97 | 6. Multi-Modal Domain Adaptation for Fine-Grained Action Recognition 98 | 论文地址：https://arxiv.org/abs/2001.09691 99 | 100 | 7. Distribution Aware Coordinate Representation for Human Pose Estimation 101 | 论文地址：https://arxiv.org/abs/1910.06278 102 | 103 | 8. The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation 104 | 论文地址：https://arxiv.org/abs/1911.07524 105 | 106 | 9.PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation 107 | 论文地址：https://arxiv.org/abs/1911.04231 108 | 109 | ### GAN 110 | 1. Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models 111 | 论文地址：https://arxiv.org/abs/1911.12287 112 | 代码：https://github.com/giannisdaras/ylg 113 | 114 | 2. MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis 115 | 论文地址：https://arxiv.org/abs/1903.06048 116 | 117 | 3. Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory 118 | 论文地址：https://arxiv.org/abs/1911.04636 119 | 120 | ### 小样本&零样本 121 | 1. Improved Few-Shot Visual Classification 122 | 论文地址：https://arxiv.org/pdf/1912.03432.pdf 123 | 124 | 2.Meta-Transfer Learning for Zero-Shot Super-Resolution 125 | 论文地址：https://arxiv.org/abs/2002.12213 126 | 127 | ### 弱监督&无监督 128 | 1. Rethinking the Route Towards Weakly Supervised Object Localization 129 | 论文地址：https://arxiv.org/abs/2002.11359 130 | 2. NestedVAE: Isolating Common Factors via Weak Supervision 131 | 论文地址：https://arxiv.org/abs/2002.11576 132 | 133 | 3.Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation 134 | 论文地址：https://arxiv.org/abs/1911.07450 135 | 136 | 4.Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction 137 | 论文地址：https://arxiv.org/abs/2003.01460 138 | 139 | ### 神经网络 140 | 1. Visual Commonsense R-CNN 141 | 论文地址：https://arxiv.org/abs/2002.12204 142 | 143 | 2. GhostNet: More Features from Cheap Operations 144 | 论文地址：https://arxiv.org/abs/1911.11907 145 | 代码：https://github.com/iamhankai/ghostnet 146 | 147 | 3. Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral 148 | 论文地址：https://arxiv.org/abs/2003.01826 149 | 150 | ### 模型加速 151 | 1. GPU-Accelerated Mobile Multi-view Style Transfer 152 | 论文地址：https://arxiv.org/abs/2003.00706 153 | 154 | ### 视觉常识 155 | 1. What it Thinks is Important is Important: Robustness Transfers through Input Gradients 156 | 论文地址：https://arxiv.org/abs/1912.05699 157 | 158 | 2.Attentive Context Normalization for Robust Permutation-Equivariant Learning 159 | 论文地址：https://arxiv.org/abs/1907.02545 160 | 161 | 3. Bundle Adjustment on a Graph Processor 162 | 论文地址：https://arxiv.org/abs/2003.03134 163 | https://github.com/joeaortiz/gbp 164 | 165 | 4. Transferring Dense Pose to Proximal Animal Classes 166 | 论文地址：https://arxiv.org/abs/2003.00080 167 | 168 | 5. Representations, Metrics and Statistics For Shape Analysis of Elastic Graphs 169 | 论文地址：https://arxiv.org/abs/2003.00287 170 | 171 | 6. Learning in the Frequency Domain 172 | 论文地址：https://arxiv.org/abs/2002.12416 173 | 174 | 7.Filter Grafting for Deep Neural Networks 175 | 论文地址：https://arxiv.org/pdf/2001.05868.pdf 176 | 177 | 8.ClusterFit: Improving Generalization of Visual Representations 178 | 论文地址：https://arxiv.org/abs/1912.03330 179 | 180 | 9.Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction 181 | 论文地址：https://arxiv.org/abs/2002.11927 182 | 183 | 10.Auto-Encoding Twin-Bottleneck Hashing 184 | 论文地址：https://arxiv.org/abs/2002.11930 185 | 186 | 11.Learning Representations by Predicting Bags of Visual Words 187 | 论文地址：https://arxiv.org/abs/2002.12247 188 | 189 | 12.Holistically-Attracted Wireframe Parsing 190 | 论文地址：https://arxiv.org/abs/2003.01663 191 | 192 | 13.A General and Adaptive Robust Loss Function 193 | 论文地址：https://arxiv.org/abs/1701.03077 194 | 195 | 14.A Characteristic Function Approach to Deep Implicit Generative Modeling 196 | 论文地址：https://arxiv.org/abs/1909.07425 197 | 198 | 15.AdderNet: Do We Really Need Multiplications in Deep Learning? 199 | 论文地址：https://arxiv.org/pdf/1912.13200 200 | 201 | 16.12-in-1: Multi-Task Vision and Language Representation Learning 202 | 论文地址：https://arxiv.org/abs/1912.02315 203 | 204 | 17.Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks 205 | 论文地址：https://arxiv.org/abs/1912.09393 206 | 207 | 18.CARS: Contunuous Evolution for Efficient Neural Architecture Search 208 | 论文地址：https://arxiv.org/pdf/1909.04977.pdf 209 | 代码：https://github.com/huawei-noah/CARS 210 | 211 | 19.Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training 212 | 论文地址：https://arxiv.org/abs/2002.10638 213 | 代码：https://github.com/weituo12321/PREVALENT 214 | 215 | 1.GhostNet: More Features from Cheap Operations（超越Mobilenet v3的架构） 216 | 论文链接：https://arxiv.org/pdf/1911.11907arxiv.org 217 | 模型（在ARM CPU上的表现惊人）：https://github.com/iamhankai/ghostnetgithub.com 218 | 219 | We beat other SOTA lightweight CNNs such as MobileNetV3 and FBNet. 220 | 221 | 2. AdderNet: Do We Really Need Multiplications in Deep Learning? （加法神经网络） 222 | 在大规模神经网络和数据集上取得了非常好的表现 223 | 论文链接：https://arxiv.org/pdf/1912.13200arxiv.org 224 | 225 | 3. Frequency Domain Compact 3D Convolutional Neural Networks （3dCNN压缩） 226 | 论文链接：https://arxiv.org/pdf/1909.04977arxiv.org 227 | 开源代码：https://github.com/huawei-noah/CARSgithub.com 228 | 229 | 4. A Semi-Supervised Assessor of Neural Architectures （神经网络精度预测器 NAS） 230 | 231 | 5. Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection （NAS 检测） 232 | backbone-neck-head一起搜索， 三位一体 233 | 234 | 6. CARS: Contunuous Evolution for Efficient Neural Architecture Search (连续进化的NAS) 235 | 高效，具备可微和进化的多重优势，且能输出帕累托前研 236 | 237 | 7. On Positive-Unlabeled Classification in GAN （PU+GAN） 238 | 239 | 8. Learning multiview 3D point cloud registration（3D点云） 240 | 论文链接：arxiv.org/abs/2001.05119 241 | 242 | 9. Multi-Modal Domain Adaptation for Fine-Grained Action Recognition（细粒度动作识别） 243 | 论文链接：arxiv.org/abs/2001.09691 244 | 245 | 10. Action Modifiers:Learning from Adverbs in Instructional Video 246 | 论文链接：arxiv.org/abs/1912.06617 247 | 248 | 11. PolarMask: Single Shot Instance Segmentation with Polar Representation（实例分割建模） 249 | 论文链接：arxiv.org/abs/1909.13226 250 | 论文解读：https://zhuanlan.zhihu.com/p/84890413 251 | 开源代码：https://github.com/xieenze/PolarMask 252 | 253 | 12. Rethinking Performance Estimation in Neural Architecture Search（NAS） 254 | 由于block wise neural architecture search中真正消耗时间的是performance estimation部分，本文针对 block wise的NAS找到了最优参数，速度更快，且相关度更高。 255 | 256 | 13. Distribution Aware Coordinate Representation for Human Pose Estimation（人体姿态估计） 257 | 论文链接：arxiv.org/abs/1910.06278 258 | Github：https://github.com/ilovepose/DarkPose 259 | 作者团队主页：https://ilovepose.github.io/coco/ 260 | 261 | ### OCR 262 | 1. ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network 263 | 论文地址：https://arxiv.org/abs/2002.10200 264 | 代码：https://github.com/Yuliang-Liu/bezier_curve_text_spotting,https://github.com/aim-uofa/adet 265 | 266 | ### 图像分类 267 | 1. Self-training with Noisy Student improves ImageNet classification 268 | 论文地址：https://arxiv.org/abs/1911.04252 269 | 270 | 2. Image Matching across Wide Baselines: From Paper to Practice 271 | 论文地址：https://arxiv.org/abs/2003.01587 272 | 273 | 3. Towards Robust Image Classification Using Sequential Attention Models 274 | 论文地址：https://arxiv.org/abs/1912.02184 275 | 276 | ### 视频分析 277 | 1. Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications 278 | 论文地址：https://arxiv.org/abs/2003.01455 279 | 代码：https://github.com/bbrattoli/ZeroShotVideoClassification 280 | 281 | 2. Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs 282 | 论文地址：https://arxiv.org/abs/2003.00387 283 | 284 | 3. Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning 285 | 论文地址：https://arxiv.org/abs/2003.00392 286 | 287 | 4. Object Relational Graph with Teacher-Recommended Learning for Video Captioning 288 | 论文地址：https://arxiv.org/abs/2002.11566 289 | 290 | 5. Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution 291 | 论文地址：https://arxiv.org/abs/2002.11616 292 | 293 | 6. Blurry Video Frame Interpolation 294 | 论文地址：https://arxiv.org/abs/2002.12259 295 | 296 | 7. Hierarchical Conditional Relation Networks for Video Question Answering 297 | 论文地址：https://arxiv.org/abs/2002.10698 298 | 299 | 8. Action Modifiers:Learning from Adverbs in Instructional Video 300 | 论文地址：https://arxiv.org/abs/1912.06617 301 | 302 | ### 图像处理 303 | 1. Learning to Shade Hand-drawn Sketches 304 | 论文地址：https://arxiv.org/abs/2002.11812 305 | 306 | 2.Single Image Reflection Removal through Cascaded Refinement 307 | 论文地址：https://arxiv.org/abs/1911.06634 308 | 309 | 3.Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data 310 | 论文地址：https://arxiv.org/abs/2002.11297 311 | 312 | 4. Deep Image Harmonization via Domain Verification 313 | 论文地址：https://arxiv.org/abs/1911.13239 314 | 代码：https://github.com/bcmi/Image_Harmonization_Datasets 315 | 316 | 5. RoutedFusion: Learning Real-time Depth Map Fusion 317 | 论文地址：https://arxiv.org/pdf/2001.04388.pdf 318 | 319 | ### 更新 320 | 321 | 1. 视觉常识R-CNN，Visual Commonsense R-CNN 322 | 323 | https://arxiv.org/abs/2002.12204 324 | 325 | 326 | 2. Out-of-distribution图像检测 327 | 328 | https://arxiv.org/abs/2002.11297 329 | 330 | 331 | 3. 模糊视频帧插值，Blurry Video Frame Interpolation 332 | 333 | https://arxiv.org/abs/2002.12259 334 | 335 | 336 | 4. 元迁移学习零样本超分 337 | 338 | https://arxiv.org/abs/2002.12213 339 | 340 | 5. 3D室内场景理解 341 | 342 | https://arxiv.org/abs/2002.12212 343 | 344 | 345 | 346 | 6.从有偏训练生成无偏场景图 347 | 348 | https://arxiv.org/abs/2002.11949 349 | 350 | 351 | 352 | 7. 自动编码双瓶颈哈希 353 | 354 | https://arxiv.org/abs/2002.11930 355 | 356 | 8. 一种用于人类轨迹预测的社会时空图卷积神经网络 357 | 358 | https://arxiv.org/abs/2002.11927 359 | 360 | 361 | 9. 面向面向深度人脸识别的通用表示学习 362 | 363 | https://arxiv.org/abs/2002.11841 364 | 365 | 366 | 10. 视觉表示泛化性 367 | 368 | https://arxiv.org/abs/1912.03330 369 | 370 | 371 | 11. 减弱上下文偏差 372 | 373 | https://arxiv.org/abs/2002.11812 374 | 375 | 376 | 12. 可迁移元技能的无监督强化学习 377 | 378 | https://arxiv.org/abs/1911.07450 379 | 380 | 381 | 13. 快速准确时空视频超分 382 | 383 | https://arxiv.org/abs/2002.11616 384 | 385 | 386 | 14. 对象关系图Teacher推荐学习的视频captioning 387 | 388 | https://arxiv.org/abs/2002.11566 389 | 390 | 391 | 15. 弱监督物体定位路由再思考 392 | 393 | https://arxiv.org/abs/2002.11359 394 | 395 | 396 | 16. 通过预培训学习视觉和语言导航的通用代理 397 | 398 | https://arxiv.org/pdf/2002.10638.pdf 399 | 400 | 401 | 17. GhostNet轻量级神经网络 402 | 403 | https://arxiv.org/pdf/1911.11907.pdf 404 | 405 | 406 | 407 | 18. AdderNet:在深度学习中，我们真的需要乘法吗? 408 | 409 | https://arxiv.org/pdf/1912.13200.pdf 410 | 411 | 412 | 19. CARS:高效神经结构搜索的持续进化 413 | 414 | https://arxiv.org/abs/1909.04977 415 | 416 | 417 | 20. 通过协作式的迭代级联微调来移除单图像中的反射 418 | 419 | https://arxiv.org/abs/1911.06634 420 | 421 | 422 | 21. 深度神经网络的滤波嫁接 423 | 424 | https://arxiv.org/pdf/2001.05868.pdf 425 | 426 | 427 | 22. PolarMask：将实例分割统一到FCN 428 | 429 | https://arxiv.org/pdf/1909.13226.pdf 430 | 431 | 432 | 23. 半监督语义图像分割 433 | 434 | https://arxiv.org/pdf/1811.07073.pdf 435 | 436 | 437 | 438 | 24. 通过选择性的特征再生来抵御通用攻击 439 | 440 | https://arxiv.org/pdf/1906.03444.pdf 441 | 442 | 443 | 25. 实时的基于细粒度草图的图像检索 444 | 445 | https://arxiv.org/abs/2002.10310 446 | 447 | 448 | 26. 用子问题询问VQA模型 449 | 450 | https://arxiv.org/abs/1906.03444 451 | 452 | 453 | 27. 从2D范例中学习神经三维纹理空间 454 | 455 | https://geometry.cs.ucl.ac.uk/projects/2020/neuraltexture/ 456 | 457 | 458 | 28. NestedVAE:通过薄弱的监督来隔离共同因素 459 | 460 | https://arxiv.org/abs/2002.11576 461 | 462 | 463 | 29. 实现多未来轨迹预测 464 | 465 | https://arxiv.org/pdf/1912.06445.pdf 466 | 467 | 468 | 469 | 30. 使用序列注意力模型进行稳健的图像分类 470 | 471 | https://arxiv.org/pdf/1912.02184 472 | 473 | -------------------------------------------------------------------------------- /CVPR2021/README.md: -------------------------------------------------------------------------------- 1 | 持续更新Github： 2 | https://github.com/Sophia-11/Awesome-CVPR-Paper  3 | 4 | # 2021持续论文集锦请在【计算机视觉联盟】后台回复 CVPR2021 5 | 6 | ### 往年论文集锦请在【计算机视觉联盟】后台回复  CVPR2019  7 | ### 2020持续论文集锦请在【计算机视觉联盟】后台回复  CVPR2020 8 | 9 | ### 【1】CVPR2021录取结果公布 10 | * 公众号【计算机视觉联盟】后台回复 CVPR2021 下载最新论文 11 | * [CVPR 2021](./CVPR2021/README.md) 12 | 13 | -------------- 14 | 15 | ### 【2】CVPR2021最新更新论文 16 | Image-to-image Translation via Hierarchical Style Disentanglement 17 | Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji 18 | https://arxiv.org/abs/2103.01456 19 | https://github.com/imlixinyang/HiSD 20 | 21 | FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation 22 | https://arxiv.org/pdf/2012.08512.pdf 23 | https://tarun005.github.io/FLAVR/Code 24 | https://tarun005.github.io/FLAVR/ 25 | 26 | Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition 27 | Stephen Hausler, Sourav Garg, Ming Xu, Michael Milford, Tobias Fischer 28 | https://arxiv.org/abs/2103.01486 29 | 30 | Depth from Camera Motion and Object Detection 31 | Brent A. Griffin, Jason J. Corso 32 | https://arxiv.org/abs/2103.01468 33 | 34 | UP-DETR: Unsupervised Pre-training for Object Detection with Transformers 35 | https://arxiv.org/pdf/2011.09094.pdf 36 | 37 | Multi-Stage Progressive Image Restoration 38 | https://arxiv.org/abs/2102.02808 39 | https://github.com/swz30/MPRNet 40 | 41 | Weakly Supervised Learning of Rigid 3D Scene Flow 42 | https://arxiv.org/pdf/2102.08945.pdf 43 | https://arxiv.org/pdf/2102.08945.pdf 44 | https://3dsceneflow.github.io/ 45 | 46 | Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning 47 | Mamshad Nayeem Rizve, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah 48 | https://arxiv.org/abs/2103.01315 49 | 50 | Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels 51 | https://arxiv.org/abs/2101.05022 52 | https://github.com/naver-ai/relabel_imagenet 53 | 54 | Rethinking Channel Dimensions for Efficient Model Design 55 | https://arxiv.org/abs/2007.00992 56 | https://github.com/clovaai/rexnet 57 | 58 | Coarse-Fine Networks for Temporal Activity Detection in Videos 59 | Kumara Kahatapitiya, Michael S. Ryoo 60 | https://arxiv.org/abs/2103.01302 61 | 62 | A Deep Emulator for Secondary Motion of 3D Characters 63 | Mianlun Zheng, Yi Zhou, Duygu Ceylan, Jernej Barbic 64 | https://arxiv.org/abs/2103.01261 65 | 66 | Fair Attribute Classification through Latent Space De-biasing 67 | https://arxiv.org/abs/2012.01469 68 | https://github.com/princetonvisualai/gan-debiasing 69 | https://princetonvisualai.github.io/gan-debiasing/ 70 | 71 | Auto-Exposure Fusion for Single-Image Shadow Removal 72 | Lan Fu, Changqing Zhou, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Wei Feng, Yang Liu, Song Wang 73 | https://arxiv.org/abs/2103.01255 74 | 75 | Less is More: CLIPBERT for Video-and-Language Learning via Sparse Sampling 76 | https://arxiv.org/pdf/2102.06183.pdf 77 | https://github.com/jayleicn/ClipBERT 78 | 79 | MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing 80 | Zhengjue Wang, Hao Zhang, Ziheng Cheng, Bo Chen, Xin Yuan 81 | https://arxiv.org/abs/2103.01786 82 | 83 | AttentiveNAS: Improving Neural Architecture Search via Attentive 84 | https://arxiv.org/pdf/2011.09011.pdf 85 | 86 | Diffusion Probabilistic Models for 3D Point Cloud Generation 87 | Shitong Luo, Wei Hu 88 | https://arxiv.org/abs/2103.01458 89 | 90 | There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge 91 | Francisco Rivera Valverde, Juana Valeria Hurtado, Abhinav Valada 92 | https://arxiv.org/abs/2103.01353 93 | http://rl.uni-freiburg.de/research/multimodal-distill 94 | 95 | Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation 96 | https://arxiv.org/abs/2008.00951 97 | https://github.com/eladrich/pixel2style2pixel 98 | https://eladrich.github.io/pixel2style2pixel/ 99 | 100 | Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph 101 | Xin Ye, Yezhou Yang 102 | https://arxiv.org/abs/2103.01350 103 | 104 | RepVGG: Making VGG-style ConvNets Great Again 105 | https://arxiv.org/abs/2101.03697 106 | https://github.com/megvii-model/RepVGG 107 | 108 | Transformer Interpretability Beyond Attention Visualization 109 | https://arxiv.org/pdf/2012.09838.pdf 110 | https://github.com/hila-chefer/Transformer-Explainability 111 | 112 | PREDATOR: Registration of 3D Point Clouds with Low Overlap 113 | https://arxiv.org/pdf/2011.13005.pdf 114 | https://github.com/ShengyuH/OverlapPredator 115 | https://overlappredator.github.io/ 116 | 117 | Positive-Unlabeled Data Purification in the Wild for Object Detection 118 | 119 | Data-Free Knowledge Distillation For Image Super-Resolution 120 | 121 | Manifold Regularized Dynamic Network Pruning 122 | 123 | Pre-Trained Image Processing Transformer 124 | https://arxiv.org/pdf/2012.00364.pdf 125 | 126 | ReNAS: Relativistic Evaluation of Neural Architecture Search 127 | https://arxiv.org/pdf/1910.01523.pdf 128 | 129 | AdderSR: Towards Energy Efficient Image Super-Resolution 130 | https://arxiv.org/pdf/2009.08891.pdf 131 | https://github.com/huawei-noah/AdderNet 132 | 133 | Learning Student Networks in the Wild 134 | https://arxiv.org/pdf/1904.01186.pdf 135 | https://github.com/huawei-noah/DAFL 136 | https://www.zhihu.com/question/446299297 137 | 138 | HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens 139 | https://arxiv.org/pdf/2005.14446.pdf 140 | 141 | Probabilistic Embeddings for Cross-Modal Retrieval 142 | https://arxiv.org/abs/2101.05068 143 | 144 | PLOP: Learning without Forgetting for Continual Semantic Segmentation 145 | https://arxiv.org/abs/2011.11390 146 | 147 | Rainbow Memory: Continual Learning with a Memory of Diverse Samples 148 | 149 | Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing 150 | 151 | 152 | # CVPR2021录取结果公布 153 | 207 , 208 , 222 , 224 , 227 , 230 , 233 , 234 , 244 , 250 , 261 , 265 , 267 , 274 , 277 , 280 , 283 , 288 , 289 , 300 , 302 , 305 , 313 , 315 , 327 , 329 , 340 , 344 , 350 , 364 , 368 , 372 , 375 , 376 , 384 , 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, 10922 , 10955 , 10966 , 10973 , 10978 , 11014 , 11041 , 11061 , 11062 , 11068 , 11090 , 11107 , 11134 , 11153 , 11155 , 11193 , 11197 , 11241 , 11307 , 11326 , 11392 , 11397 , 11399 , 11433 , 11434 , 11437 , 11462 , 11469 , 11470 , 11486 , 11502 , 11511 , 11528 , 11535 , 11563 , 11574 , 11578 , 11579 , 11586 , 11627 , 11659 , 11671 , 11676 , 11692 , 11705 , 11707 , 11775 , 11788 , 11816 , 11819 , 11821 , 11940 , 154 | -------------------------------------------------------------------------------- /CVPR2022/Readme.md: -------------------------------------------------------------------------------- 1 | ## CVPR 2022放榜了！ 2 | 3 | ### 最新推荐： 4 | ##### 3D人体姿态估计/姿态估计/Transformer/3D人体重建 5 | MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation 6 | 7 | Paper: https://arxiv.org/pdf/2111.12707.pdf 8 | 9 | Code: https://github.com/Vegetebird/MHFormer 10 | 11 | 文章完全公布后，我会及时下载分享给大家，一起学习进步！ 12 | 13 | 录取ID公布： 14 | 16 15 | 19 16 | 20 17 | 28 18 | 30 19 | 35 20 | 41 21 | 42 22 | 43 23 | 44 24 | 48 25 | 51 26 | 60 27 | 78 28 | 84 29 | 90 30 | 91 31 | 93 32 | 97 33 | 98 34 | 103 35 | 104 36 | 107 37 | 112 38 | 116 39 | 121 40 | 123 41 | 133 42 | 139 43 | 141 44 | 142 45 | 155 46 | 157 47 | 163 48 | 169 49 | 171 50 | 174 51 | 184 52 | 185 53 | 186 54 | 189 55 | 190 56 | 201 57 | 208 58 | 211 59 | 213 60 | 224 61 | 226 62 | 229 63 | 238 64 | 242 65 | 246 66 | 258 67 | 265 68 | 266 69 | 276 70 | 282 71 | 284 72 | 304 73 | 308 74 | 335 75 | 337 76 | 348 77 | 353 78 | 357 79 | 378 80 | 390 81 | 401 82 | 402 83 | 410 84 | 433 85 | 436 86 | 441 87 | 448 88 | 469 89 | 479 90 | 491 91 | 496 92 | 501 93 | 503 94 | 510 95 | 516 96 | 517 97 | 518 98 | 519 99 | 523 100 | 536 101 | 540 102 | 544 103 | 549 104 | 552 105 | 560 106 | 571 107 | 573 108 | 575 109 | 576 110 | 583 111 | 587 112 | 596 113 | 599 114 | 600 115 | 605 116 | 607 117 | 621 118 | 623 119 | 628 120 | 640 121 | 645 122 | 647 123 | 648 124 | 649 125 | 651 126 | 656 127 | 667 128 | 674 129 | 675 130 | 676 131 | 679 132 | 689 133 | 697 134 | 703 135 | 706 136 | 709 137 | 710 138 | 713 139 | 714 140 | 715 141 | 716 142 | 717 143 | 718 144 | 719 145 | 720 146 | 724 147 | 725 148 | 729 149 | 730 150 | 731 151 | 736 152 | 744 153 | 750 154 | 754 155 | 763 156 | 768 157 | 769 158 | 770 159 | 778 160 | 780 161 | 785 162 | 790 163 | 793 164 | 804 165 | 807 166 | 812 167 | 814 168 | 815 169 | 816 170 | 817 171 | 818 172 | 840 173 | 847 174 | 851 175 | 862 176 | 869 177 | 874 178 | 875 179 | 889 180 | 891 181 | 896 182 | 908 183 | 909 184 | 912 185 | 919 186 | 921 187 | 923 188 | 924 189 | 928 190 | 931 191 | 933 192 | 943 193 | 944 194 | 948 195 | 951 196 | 955 197 | 968 198 | 971 199 | 980 200 | 988 201 | 989 202 | 990 203 | 1000 204 | 1002 205 | 1003 206 | 1004 207 | 1007 208 | 1021 209 | 1024 210 | 1026 211 | 1031 212 | 1032 213 | 1034 214 | 1048 215 | 1055 216 | 1064 217 | 1068 218 | 1079 219 | 1080 220 | 1083 221 | 1088 222 | 1089 223 | 1091 224 | 1096 225 | 1100 226 | 1104 227 | 1109 228 | 1115 229 | 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2031 | 11451 2032 | 11454 2033 | 11460 2034 | 11469 2035 | 11474 2036 | 11477 2037 | 11488 2038 | 11498 2039 | 11521 2040 | 11523 2041 | 11527 2042 | 11529 2043 | 11551 2044 | 11553 2045 | 11561 2046 | 11590 2047 | 11604 2048 | 11620 2049 | 11622 2050 | 11631 2051 | 11632 2052 | 11646 2053 | 11648 2054 | 11661 2055 | 11667 2056 | 11670 2057 | 11673 2058 | 11674 2059 | 11676 2060 | 11695 2061 | 11698 2062 | 11713 2063 | 11726 2064 | 11752 2065 | 11756 2066 | 11762 2067 | 11772 2068 | 11776 2069 | 11777 2070 | 11785 2071 | 11789 2072 | 11840 2073 | 11845 2074 | 11846 2075 | 11932 2076 | 11954 2077 | 11994 2078 | 12016 2079 | 12025 2080 | 12027 2081 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # CVPR 2022\2021\2020\2019\2018\2017 最新文章下载 2 | ## [CVPR2022录用名单](./CVPR2022/Readme.md) 3 | ### CVPR2022 百度云正在准备中 4 | ### 公众号【计算机视觉联盟】后台回复 CVPR2021 获得百度云 5 | ## CVPR2021最全1660篇pdf(4.3G) 6 | 链接: https://pan.baidu.com/s/1GWkqUOcO6KMOu-uLJrSpbA 提取码: vwkx 7 | 8 | ### 目录 9 | #### 【0】CVPR2022录取结果公布 10 | #### 【1】CVPR2021录取结果公布 11 | #### 【2】CVPR2021最新更新文章 12 | #### 【3】CVPR2020、2019、2018、2017下载链接 13 | #### 【4】CVPR近年来最佳论文 14 | 15 | update：2022/03/02 更新部分文章解读 16 | 17 | #### 【0】CVPR2022录取结果公布 18 | * [CVPR2022录用名单](./CVPR2022/Readme.md) 19 | * 还在更新中....未完待续 20 | ### 最新推荐： 21 | ##### 3D人体姿态估计/姿态估计/Transformer/3D人体重建 22 | MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation 23 | 24 | Paper: https://arxiv.org/pdf/2111.12707.pdf 25 | 26 | Code: https://github.com/Vegetebird/MHFormer 27 | 28 | 29 | --------------------- 30 | ### 【1】CVPR2021录取结果公布 31 | * 公众号【计算机视觉联盟】后台回复 CVPR2021 下载最新论文 32 | * [CVPR 2021](./CVPR2021/README.md) 33 | * [CVPR 2021所有录取文章](./CVPR2021/CVPR2021_accept_all_papers.md) 34 | 35 | -------------- 36 | 37 | ### 【2】CVPR2021最新更新论文 38 | 39 | ##### Fully Convolutional Networks for Panoptic Segmentation 40 | 41 | 本文旨在使用全卷积形式统一地表达和预测物体和周边环境，从而实现准确高效的全景分割。具体来说，本文提出卷积核生成器将每个物体和每类环境的语义信息编码至不同的卷结核中，并同高分辨率的特征图卷积直接输出每个前景和背景的分割结果。通过这种方法，物体和环境的个体差异和语义一致性可以被分别保留下来。该方法在多个全景分割数据集上均取得速度和精度的当前最佳结果。 42 | 👉关键词：统一表达，动态卷积，全景分割 43 | arxiv: https://arxiv.org/abs/2012.00720 44 | github: https://github.com/yanwei-li/PanopticFCN 45 | 46 | oral论文 47 | ##### FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation 48 | FFB6D提出一种网络全流双向融合的RGBD表征学习框架并应用于6D位姿估计问题。我们发现现有的表征学习方法都没能很好地利用RGB中的外观信息和深度图(点云)中的几何信息这两种互补的数据源。 49 | 50 | 对此，我们设计了一种双向稠密融合模块并应用到CNN和点云网络的每个编码和解码层。这种全流双向融合机制能让两个网络充分利用彼此提取的局部和全局互补信息，从而获得更好的表征用于下游预测任务。此外，在输出表征选择上，我们结合物品的纹理和几何信息设计了一种SIFT-FPS关键点选择算法，简化了网络定位关键点的难度并提升了位姿精度。我们的方法在多个基准上都获得显著的提升。并且这种RGBD表征学习骨干网络能通过级联不同的预测网络，应用在更多以RGBD为输入的视觉任务上。 51 | 👉关键词：RGBD表征学习，3D视觉，6D位姿估计 52 | PDF: https://arxiv.org/abs/2103.02242 53 | code: https://github.com/ethnhe/FFB6D 54 | 55 | 56 | ##### RepVGG: Making VGG-style ConvNets Great Again 57 | 科学技术总是螺旋式地上升。我们“复兴”了VGG式单路极简卷积神经网络架构，一路3x3卷到底，在速度和性能上达到SOTA水平，在ImageNet上超过80%正确率。 58 | 59 | 为了克服VGG式架构训练困难的问题，我们使用结构重参数化（structural re-parameterization）在训练时的模型中构造恒等映射和1x1卷积分支，然后在训练结束后将其等效融合进3x3卷积中去，因而推理时模型仅包含3x3卷积。这一架构没有任何分支结构，因此其并行度很高，速度很快。且由于主体部分仅有“3x3-ReLU”这一种算子，特别适合用于定制硬件。 60 | 👉关键词：结构重参数化，极简架构，高效模型 61 | https://arxiv.org/abs/2101.03697 62 | 63 | 64 | ##### Dynamic Region-Aware Convolution 65 | 本文提出一种新的卷积操作----动态区域注意卷积（DRConv: Dynamic Region-Aware Convolution），该卷积可以根据特征相似度为不同平面区域分配定制的卷积核。这种卷积方式相较于传统卷积极大地增强了对图像语义信息多样性的建模能力。标准卷积层可以增加卷积核的数量以提取更多的视觉元素，但会导致较高的计算成本。DRConv使用可学习的分配器将逐渐增加的卷积核转移到平面维度，这不仅提高了卷积的表示能力，而且还保持了计算成本和平移不变性。 66 | 67 | DRConv是一种用于处理语义信息分布复杂多变的有效而优雅的方法，它可以以其即插即用特性替代任何现有网络中的标准卷积，且对于轻量级网络的性能有显著提升。本文在各种模型（MobileNet系列，ShuffleNetV2等）和任务（分类，面部识别，检测和分割）上对DRConv进行了评估，在ImageNet分类中，基于DRConv的ShuffleNetV2-0.5×在46M计算量的水平下可实现67.1％的性能，相对基准提升6.3％。 68 | https://arxiv.org/abs/2003.12243 69 | 70 | 71 | ##### Diverse Branch Block: Building a Convolution as an Inception-like Unit 72 | 我们提出一种卷积网络基本模块（DBB），用以丰富模型训练时的微观结构而不改变其宏观架构，以此提升其性能。这种模块可以在训练后通过结构重参数化（structural re-parameterization）等效转换为一个卷积，因而不引入任何额外的推理开销。图片 73 | 74 | 我们归纳了六种可以此种等效转换的结构，包括1x1-KxK连续卷积、average pooling等，并用这六种变换给出了一种代表性的形似Inception的DBB实例，在多种架构上均取得了显著的性能提升。我们通过实验确认了“训练时非线性”（而推理时是线性的，如BN）和“多样的链接”（比如1x1+3x3效果好于3x3+3x3）是DBB有效的关键。 75 | 👉关键词：结构重参数化，无推理开销，无痛提升 76 | 77 | 78 | ##### Generalized Few-Shot Object Detection without Forgetting 79 | 80 | 过去的工作大都聚焦在小类样本类别性能而牺牲了大类样本的性能。本文提出一种无遗忘效应的小类样本目标检测器，能够在实现更好的小类样本类别性能的同时，不掉落大类样本类别的性能。在本文中，我们发现了预训练的检测器很少在未见过的类别上产生假阳性预测，且还发现RPN并非理想的类别无关组件。基于这两点发现，我们设计了Re-detector和Bias-Balanced RPN两个简单而有效的结构，只增加少量参数和推断时间即可实现无遗忘效应的小类样本目标检测。 81 | 👉关键词：小样本学习，目标检测 82 | 83 | ##### Distribution Alignment: A Unified Framework for Long-tail Visual Recognition 84 | 本文提出了一个处理含有长尾数据分布的视觉识别任务的统一框架。我们首先针对现有的处理长尾问题的两阶段的方法进行了实验分析，找出现有方法主要的性能瓶颈。基于实验分析，我们提出了一种分布对齐策略来系统性解决长尾视觉任务。 85 | 86 | 该框架基于两阶段方法设计，在第一阶段，使用instance-balanced 采样策略进行特征表示学习(representation learning)。在第二阶段，我们首先设计了一个input-aware的对齐函数，以实现对输入数据的得分进行矫正。同时，为了引入数据集分布的先验，我们设计了一个泛化重加权(Generalized Re-weight)方案， 来处理图像分类，语义分割，物体检测和实例分割等多种视觉任务场景。我们在四个任务上验证了我们的方法，在各个任务上均取得了明显的性能提升。 87 | 👉关键词：图像分类，语义分割，物体检测，实例分割 88 | 89 | 90 | ##### End-to-End Object Detection with Fully Convolutional Network 91 | 92 | 本文首次在全卷积目标检测器上去除了NMS（非极大值抑制）后处理，做到了端到端训练。我们分析了主流一阶段目标检测方法，并发现传统的一对多标签分配策略是这些方法依赖NMS的关键，并由此提出了预测感知的一对一标签分配策略。此外，为了提升一对一标签分配的性能，我们提出了增强特征表征能力的模块，和加速模型收敛的辅助损失函数。我们的方法在无NMS的情况下达到了与主流一阶段目标检测方法相当的性能。在密集场景上，我们的方法的召回率超过了依赖NMS的目标检测方法的理论上限。 93 | 👉关键词：端到端检测，标签分配，全卷积网络 94 | https://arxiv.org/abs/2012.03544 95 | 96 | 97 | ##### OTA: Optimal Transport Assignment for Object Detection 98 | 99 | 我们提出了一种基于最优传输理论的目标检测样本匹配策略，利用全局信息来寻找最优样本匹配的结果，相对于现有的样本匹配技术，具有如下优势：1). 检测精度高。全局最优的匹配结果能帮助检测器以稳定高效的方式训练，最终在COCO数据集上达到最优检测性能。2). 适用场景广。现有的目标检测算法在遇到诸如目标密集或被严重遮挡等复杂场景时，需要重新设计策略或者调整参数，而最优传输模型在全局建模的过程中包括了寻找最优解的过程，不用做任何额外的调整，在各种目标密集、遮挡严重的场景下也能达到最先进的性能，具有很大的应用潜力。 100 | 👉关键词：目标检测、最优传输、样本匹配策略 101 | 102 | 103 | ##### IQDet: Instance-wise Quality Distribution Sampling for Object Detection 104 | 105 | 由于一阶段检测器的标签分配有静态、没有考虑目标框的全局信息等不足，我们提出了一种基于目标质量分布采样的目标检测器。在本文中，我们提出质量分布编码模块QDE和质量分布采样模块QDS，通过提取目标框的区域特征，并基于高斯混合模型来对预测框的质量分布进行建模，来动态的选择检测框的正负样本分配。本方法只涉及训练阶段标签分配，就可以在COCO等多个数据集上实现当前最佳结果。 106 | 👉关键词：标签分配 107 | 108 | 109 | ##### FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding 110 | 111 | 论文提出的FSCE方法旨在从优化特征表示的角度去解决小样本物体检测问题。小样本物体检测任务中受限于目标样本的数目稀少，对目标样本的分类正确与否往往对最终的性能有很大的影响。FSCE借助对比学习的思想对相关候选框进行编码优化其特征表示，加强特征的类内紧凑和类间相斥，最后方法在常见的COCO和Pascal VOC数据集上都得到有效提升。 112 | 👉关键词：小样本目标检测，对比学习 113 | 论文链接：https://arxiv.org/abs/2103.05950 114 | 115 | * Neural Architecture Search with Random Labels 116 | 117 | 现有的主流NAS算法通过子网络在验证集上的预测性能来进行模型搜索，但是在参数共享机制下，验证集上的预测性能和模型真实性能存在较大的差异。我们首次打破了这种基于预测性能进行模型评估的范式，从模型收敛速度的角度来进行子网络评估并假设：模型收敛速度越快，其对应的预测性能越高。 118 | 119 | 基于模型收敛性框架，我们发现模型收敛性与图像真实标签无关，便进一步提出使用随机标签进行超网络训练的新NAS范式-RLNAS。RLNAS在多个数据集（NAS-Bench-201，ImageNet）以及多个搜索空间（DARTS，MobileNet-like）进行了验证，实验结果表明RLNAS仅使用随机标签搜索出来的结构便能达到现有的NAS SOTA的水平。RLNAS初听比较反直觉，但其出乎意料的好结果为NAS社区提出了一组更强的基线，同时也进一步启发了对NAS本质的思考。 120 | 👉关键词：神经网络架构搜索，模型收敛性假设，随机标签 121 | https://arxiv.org/abs/2101.11834 122 | 123 | 124 | * Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation 125 | 126 | 目前人体姿态估计算法都是使用的热力图回归来得到最后的关节点。这些方法通常使用固定标准差的二维高斯核覆盖所有骨架关键点来构造真实热力图，并使用真实热力图来监督模型。由于不同人的关节点的真实热力图都是使用同一高斯核来构造，所以这一方法没有考虑不同人的尺度区别，会造成标签的歧义性，影响模型效果。 127 | 128 | 本论文提出了一种尺度自适应热力图回归，可以根据人体大小自适应生成构造标签所需的标准差，从而使得模型对不同尺度的人体更加鲁棒；并提出权重自适应回归平衡正负样本，进一步挖掘尺度自适应热力图回归效果。本论文最终在自底向上人体姿态估计中取得了目前最先进性能。 129 | 👉关键词：人体姿态估计、自底向上、自适应热力图回归 130 | https://arxiv.org/abs/2012.15175 131 | https://github.com/greatlog/SWAHR-HumanPose 132 | 133 | * General Instance Distillation for Object Detection 134 | 135 | GID提出了一种基于检测任务的新型蒸馏方法。通过从teacher和studnet中分别提取general instance (GI)，并提出GISM模块自适应选择差异大的instance进行feature-based、relation-based以及response-based蒸馏。本方法首次将关系型知识蒸馏应用于检测框架，且将蒸馏目标从独立考虑的正负样本蒸馏统一为更本质GI蒸馏，过程中不依赖于GT，且达到SOTA。 136 | 👉关键词：目标检测，知识蒸馏 137 | https://arxiv.org/abs/2103.02340 138 | 139 | 140 | * Activate or Not: Learning Customized Activation 141 | 142 | 143 | 我们提出一种新的激活函数ACON (activate or not)，可以自适应地学习激活与否。ACON建立了ReLU和Swish的联系：我们发现虽然两者形式很不一样，但Swish是ReLU的一种平滑形式。基于这个发现，我们进而提出更多变体，如meta-acon，相比于SENet取得了两倍的无cost涨点。我们在多个任务上验证了这个简洁有效的激活函数的泛化性能。 144 | 👉关键词：激活函数、神经网络 145 | https://arxiv.org/abs/2009.04759 146 | 147 | 148 | * You Only Look One-level Feature 149 | 150 | 在本文中，我们首先分析了FPN在单阶段检测器RetinaNet中的作用，通过实验发现FPN中将不同尺度的物体分配到不同层级检测的分治思想对检测结果影响很大。从优化角度来说，该思想将检测中的优化问题分解，使得优化学习变得更为简单，提高了检测精度。然而，FPN基于多层级特征的设计使得检测方法的网络结构变得复杂、引入了额外的计算量、并且拖慢了检测的速度。为了避免上述几个问题，本文提出在单层级上对所有尺度的物体进行检测；同时，针对单层级特征检测中难以优化的问题，提出了空洞编码器与均衡匹配的解决方案。 151 | 152 | 本文提出的基于单层级特征的检测器YOLOF，在只使用C5特征的情况下，其检测精度也能与基于FPN的RetinaNet相当，同时检测速度是RetinaNet的2.5倍。另外，与同样只使用C5特征的DETR相比，YOLOF能在收敛速度更快的情况下（7x）达到与之相当的性能。 153 | 👉关键词：单阶段目标检测、单尺度特征、检测速度与精度平衡 154 | https://arxiv.org/abs/2103.09460 155 | https://github.com/megvii-model/YOLOF 156 | 157 | 158 | * Points as Queries: Weakly Semi-supervised Object Detection by Points 159 | 160 | 161 | 在不增加标注成本的条件下，提升检测器的性能，是本文研究的目标。本文选择少量边界框辅以大量点标注的方式训练检测器。选择点标注是因其信息丰富：包含实例的位置和类别信息，同时标注成本低。本文通过将点编码器扩展至DETR的方式，提出Point DETR，整体框架为：通过边界框数据训练Point DETR；将点标注编码为查询，预测伪框；通过边界框和伪框数据，训练学生模型。在COCO数据集上，仅使用20%完全标注的数据，我们的检测器可达33.3AP，超过基线2.0AP。 162 | 👉关键词：目标检测，半监督，弱监督 163 | 164 | 165 | 166 | * Practical Wide-Angle Portraits Correction with Deep Structured Models 167 | 168 | 169 | 广角镜头因其广阔的视野而备受喜爱，但存在镜头畸变和透视失真问题，表现为背景线条弯曲、人脸拉伸挤压倾斜等。为此，本文构建了一个由线校正网络，人脸校正网络和过渡模块组成的级联去畸变网络，使得背景呈现透视投影而人脸区域呈现立体投影，并且在两个区域平滑过渡，从而在保持FOV的同时消除各种畸变。本方法不需要相机参数，可达到实时，定性和定量评估均超越了现有方法。 170 | 👉关键词：广角人像畸变校正，深度级联网络 171 | 172 | 173 | 174 | * UPFlow:Upsampling Pyramid for Unsupervised Optical Flow Learning 175 | 176 | 我们提出了一种新的无监督光流学习方法UPFlow。我们发现目前的无监督光流方法在多尺度金字塔处理中有两个问题：flow上采样过程中存在插值模糊的问题和多尺度flow缺乏监督的问题。对此，我们提出来一种自引导的上采样模块，利用了一个插值flow和一个插值map来改变上采样插值的机制，从而实现了更加精细的上采样。另外，我们提出来将网络的最终输出结果作为伪标签来监督多尺度flow的学习。基于这些改进，我们的方法能够得到更加清晰、锐利的光流结果。我们在多个光流基准数据集上进行了实验，包括Sintel、KITTI 2012和KITTI 2015。UPFlow的性能比目前最好的无监督光流算法超出了约20%。 177 | 👉关键词：光流估计、无监督学习 178 | https://arxiv.org/abs/2012.00212 179 | 180 | 181 | 182 | * NBNet: Noise Basis Learning for Image Denoising with Subspace Projection 183 | 184 | 185 | NBNet是一种解决图像降噪问题的框架。我们以一种新颖的观点来解决这个问题：图像自适应的投影。具体来说，我们学习一组特征空间上的子空间，图像降噪可以通过选择合适的信号子空间并往该子空间上投影来完成。相比于以往一卷到底的网络结构，NBNet通过投影，能自然且更高效地提取和利用图像中的结构信息，特别是弱纹理区域，以此来帮助我们复原图像。通过这样简单的方式，NBNet以更少的计算量在DND和SIDD两个benchmark上拿到了SOTA。 186 | 👉关键词：图像降噪，子空间 187 | https://arxiv.org/abs/2012.15028 188 | 189 | 190 | 191 | * Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales 192 | 193 | 该工作将度量学中一个重要的属性“动态范围”引入到深度度量学习，从而得到一个新的任务叫做“动态度量学习”。我们发现，以往的深度度量其实只蕴含一个刻度，例如仅仅区分人脸、行人是相似还是不相似。这样的量具无论多精确，在实际使用中都是灵活不足、用途有限的。实际上，我们日常的量具通常具有动态范围，例如尺子总是有多个刻度（例如1mm、1cm乃至10cm）来测量不同尺度的物体。我们认为，深度度量学习领域已经到了需要引入动态范围的时候了。因为，视觉概念本身就有着不同的大小，“动物”、“植物”都对应大尺度，而“麋鹿”却对应相对较小的尺度。在小尺度下，两只麋鹿可能看上去很不一样，但是在另一个大尺度下，同样两只麋鹿却应该被认为非常相似。 194 | 195 | 为此，我们提出了这个动态度量学习任务，它要求学到一个单独的度量空间，能够同时为语义大小不同的视觉概念提供相似性度量。此外，我们还构建了三个多尺度数据集，并提出了一个简单的基准方法。我们相信，动态范围将成为深度度量学习不可或缺的属性，并为深度度量学习整个领域带来新的视角和新的应用场景。 196 | 197 | 198 | * 3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management 199 | 200 | * Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies 201 | https://arxiv.org/abs/2012.04872 202 | 203 | * Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-constrained Optimization 204 | https://arxiv.org/abs/2012.07947 205 | 206 | * 3D CNNs with Adaptive Temporal Feature Resolutions 207 | https://arxiv.org/abs/2011.08652 208 | 209 | * KeepAugment: A Simple Information-Preserving Data Augmentation 210 | https://arxiv.org/pdf/2011.11778.pdf 211 | 212 | * Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs 213 | https://arxiv.org/pdf/2011.14107.pdf 214 | 215 | * D-NeRF: Neural Radiance Fields for Dynamic Scenes 216 | https://arxiv.org/abs/2011.13961 217 | 218 | * Coarse-Fine Networks for Temporal Activity Detection in Videos 219 | 220 | * Instance Localization for Self-supervised Detection Pretraining 221 | https://arxiv.org/pdf/2102.08318.pdf 222 | https://github.com/limbo0000/InstanceLoc 223 | 224 | * Weakly-supervised Grounded Visual Question Answering using Capsules 225 | 226 | * 4D Panoptic LiDAR Segmentation 227 | https://arxiv.org/abs/2102.12472 228 | 229 | * Dogfight: Detecting Drones from Drone Videos 230 | 231 | * Multiple Instance Active Learning for Object Detection 232 | https://github.com/yuantn/MIAL/raw/master/paper.pdf 233 | https://github.com/yuantn/MIAL 234 | 235 | * Reconsidering Representation Alignment for Multi-view Clustering 236 | 237 | * Self-supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map 238 | 239 | * Image-to-image Translation via Hierarchical Style Disentanglement 240 | Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji 241 | https://arxiv.org/abs/2103.01456 242 | https://github.com/imlixinyang/HiSD 243 | 244 | * FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation 245 | https://arxiv.org/pdf/2012.08512.pdf 246 | https://tarun005.github.io/FLAVR/Code 247 | https://tarun005.github.io/FLAVR/ 248 | 249 | * Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition 250 | Stephen Hausler, Sourav Garg, Ming Xu, Michael Milford, Tobias Fischer 251 | https://arxiv.org/abs/2103.01486 252 | 253 | * Depth from Camera Motion and Object Detection 254 | Brent A. Griffin, Jason J. Corso 255 | https://arxiv.org/abs/2103.01468 256 | 257 | * UP-DETR: Unsupervised Pre-training for Object Detection with Transformers 258 | https://arxiv.org/pdf/2011.09094.pdf 259 | 260 | * Multi-Stage Progressive Image Restoration 261 | https://arxiv.org/abs/2102.02808 262 | https://github.com/swz30/MPRNet 263 | 264 | * Weakly Supervised Learning of Rigid 3D Scene Flow 265 | https://arxiv.org/pdf/2102.08945.pdf 266 | https://arxiv.org/pdf/2102.08945.pdf 267 | https://3dsceneflow.github.io/ 268 | 269 | * Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning 270 | Mamshad Nayeem Rizve, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah 271 | https://arxiv.org/abs/2103.01315 272 | 273 | * Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels 274 | https://arxiv.org/abs/2101.05022 275 | https://github.com/naver-ai/relabel_imagenet 276 | 277 | * Rethinking Channel Dimensions for Efficient Model Design 278 | https://arxiv.org/abs/2007.00992 279 | https://github.com/clovaai/rexnet 280 | 281 | * Coarse-Fine Networks for Temporal Activity Detection in Videos 282 | Kumara Kahatapitiya, Michael S. Ryoo 283 | https://arxiv.org/abs/2103.01302 284 | 285 | * A Deep Emulator for Secondary Motion of 3D Characters 286 | Mianlun Zheng, Yi Zhou, Duygu Ceylan, Jernej Barbic 287 | https://arxiv.org/abs/2103.01261 288 | 289 | * Fair Attribute Classification through Latent Space De-biasing 290 | https://arxiv.org/abs/2012.01469 291 | https://github.com/princetonvisualai/gan-debiasing 292 | https://princetonvisualai.github.io/gan-debiasing/ 293 | 294 | * Auto-Exposure Fusion for Single-Image Shadow Removal 295 | Lan Fu, Changqing Zhou, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Wei Feng, Yang Liu, Song Wang 296 | https://arxiv.org/abs/2103.01255 297 | 298 | * Less is More: CLIPBERT for Video-and-Language Learning via Sparse Sampling 299 | https://arxiv.org/pdf/2102.06183.pdf 300 | https://github.com/jayleicn/ClipBERT 301 | 302 | * MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing 303 | Zhengjue Wang, Hao Zhang, Ziheng Cheng, Bo Chen, Xin Yuan 304 | https://arxiv.org/abs/2103.01786 305 | 306 | * AttentiveNAS: Improving Neural Architecture Search via Attentive 307 | https://arxiv.org/pdf/2011.09011.pdf 308 | 309 | * Diffusion Probabilistic Models for 3D Point Cloud Generation 310 | Shitong Luo, Wei Hu 311 | https://arxiv.org/abs/2103.01458 312 | 313 | * There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge 314 | Francisco Rivera Valverde, Juana Valeria Hurtado, Abhinav Valada 315 | https://arxiv.org/abs/2103.01353 316 | http://rl.uni-freiburg.de/research/multimodal-distill 317 | 318 | * Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation 319 | https://arxiv.org/abs/2008.00951 320 | https://github.com/eladrich/pixel2style2pixel 321 | https://eladrich.github.io/pixel2style2pixel/ 322 | 323 | * Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph 324 | Xin Ye, Yezhou Yang 325 | https://arxiv.org/abs/2103.01350 326 | 327 | * RepVGG: Making VGG-style ConvNets Great Again 328 | https://arxiv.org/abs/2101.03697 329 | https://github.com/megvii-model/RepVGG 330 | 331 | * Transformer Interpretability Beyond Attention Visualization 332 | https://arxiv.org/pdf/2012.09838.pdf 333 | https://github.com/hila-chefer/Transformer-Explainability 334 | 335 | * PREDATOR: Registration of 3D Point Clouds with Low Overlap 336 | https://arxiv.org/pdf/2011.13005.pdf 337 | https://github.com/ShengyuH/OverlapPredator 338 | https://overlappredator.github.io/ 339 | 340 | * Multiresolution Knowledge Distillation for Anomaly Detection 341 | https://arxiv.org/abs/2011.11108 342 | 343 | * Positive-Unlabeled Data Purification in the Wild for Object Detection 344 | 345 | * Data-Free Knowledge Distillation For Image Super-Resolution 346 | 347 | * Manifold Regularized Dynamic Network Pruning 348 | 349 | * Pre-Trained Image Processing Transformer 350 | https://arxiv.org/pdf/2012.00364.pdf 351 | 352 | * ReNAS: Relativistic Evaluation of Neural Architecture Search 353 | https://arxiv.org/pdf/1910.01523.pdf 354 | 355 | * AdderSR: Towards Energy Efficient Image Super-Resolution 356 | https://arxiv.org/pdf/2009.08891.pdf 357 | https://github.com/huawei-noah/AdderNet 358 | 359 | * Learning Student Networks in the Wild 360 | https://arxiv.org/pdf/1904.01186.pdf 361 | https://github.com/huawei-noah/DAFL 362 | https://www.zhihu.com/question/446299297 363 | 364 | * HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens 365 | https://arxiv.org/pdf/2005.14446.pdf 366 | 367 | * Probabilistic Embeddings for Cross-Modal Retrieval 368 | https://arxiv.org/abs/2101.05068 369 | 370 | * PLOP: Learning without Forgetting for Continual Semantic Segmentation 371 | https://arxiv.org/abs/2011.11390 372 | 373 | * Rainbow Memory: Continual Learning with a Memory of Diverse Samples 374 | 375 | * Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing 376 | 377 | 378 | 379 | 380 | ---------------- 381 | ### 【3】CVPR2020、2019、2018、2017下载链接 382 | 383 | ## CVPR 2020 384 | * 公众号【计算机视觉联盟】后台回复 CVPR2020 下载最新论文 385 | * [CVPR 2020](./CVPR2020/README.md) 386 | 387 | ## CVPR 2019 388 | * [CVPR 2019 Paper List ](./CVPR%202019/CVPR%202019%20Paper%20List) 389 | * [CVPR 2019 Paper](./CVPR%202019/CVPR%202019%20Paper) 390 | 391 | ## CVPR 2018 392 | * [CVPR 2018 Paper List ](./CVPR%202018/CVPR%202018%20Paper%20List) 393 | * [CVPR 2018 Paper](./CVPR%202018/CVPR%202018%20Paper) 394 | 395 | ## CVPR 2017 396 | * [CVPR 2017 Paper List ](./CVPR%202017/CVPR%202017%20PaperList) 397 | * [CVPR 2017 Paper](./CVPR%202017/CVPR%202017%20Paper) 398 | 399 | ## CVPR 2020 400 | 1.GhostNet: More Features from Cheap Operations（超越Mobilenet v3的架构） 401 | 论文链接：https://arxiv.org/pdf/1911.11907arxiv.org 402 | 模型（在ARM CPU上的表现惊人）：https://github.com/iamhankai/ghostnetgithub.com 403 | 404 | We beat other SOTA lightweight CNNs such as MobileNetV3 and FBNet. 405 | 406 | 2. AdderNet: Do We Really Need Multiplications in Deep Learning? （加法神经网络） 407 | 在大规模神经网络和数据集上取得了非常好的表现 408 | 论文链接：https://arxiv.org/pdf/1912.13200arxiv.org 409 | 410 | 3. Frequency Domain Compact 3D Convolutional Neural Networks （3dCNN压缩） 411 | 论文链接：https://arxiv.org/pdf/1909.04977arxiv.org 412 | 开源代码：https://github.com/huawei-noah/CARSgithub.com 413 | 414 | 4. A Semi-Supervised Assessor of Neural Architectures （神经网络精度预测器 NAS） 415 | 416 | 5. Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection （NAS 检测） 417 | backbone-neck-head一起搜索， 三位一体 418 | 419 | 6. CARS: Contunuous Evolution for Efficient Neural Architecture Search (连续进化的NAS) 420 | 高效，具备可微和进化的多重优势，且能输出帕累托前研 421 | 422 | 7. On Positive-Unlabeled Classification in GAN （PU+GAN） 423 | 424 | 8. Learning multiview 3D point cloud registration（3D点云） 425 | 论文链接：arxiv.org/abs/2001.05119 426 | 427 | 9. Multi-Modal Domain Adaptation for Fine-Grained Action Recognition（细粒度动作识别） 428 | 论文链接：arxiv.org/abs/2001.09691 429 | 430 | 10. Action Modifiers:Learning from Adverbs in Instructional Video 431 | 论文链接：arxiv.org/abs/1912.06617 432 | 433 | 11. PolarMask: Single Shot Instance Segmentation with Polar Representation（实例分割建模） 434 | 论文链接：arxiv.org/abs/1909.13226 435 | 论文解读：https://zhuanlan.zhihu.com/p/84890413 436 | 开源代码：https://github.com/xieenze/PolarMask 437 | 438 | 12. Rethinking Performance Estimation in Neural Architecture Search（NAS） 439 | 由于block wise neural architecture search中真正消耗时间的是performance estimation部分，本文针对 block wise的NAS找到了最优参数，速度更快，且相关度更高。 440 | 441 | 13. Distribution Aware Coordinate Representation for Human Pose Estimation（人体姿态估计） 442 | 论文链接：arxiv.org/abs/1910.06278 443 | Github：https://github.com/ilovepose/DarkPose 444 | 作者团队主页：https://ilovepose.github.io/coco/ 445 | 446 | ### 更新 447 | 448 | 1. 视觉常识R-CNN，Visual Commonsense R-CNN 449 | 450 | https://arxiv.org/abs/2002.12204 451 | 452 | 453 | 2. Out-of-distribution图像检测 454 | 455 | https://arxiv.org/abs/2002.11297 456 | 457 | 458 | 3. 模糊视频帧插值，Blurry Video Frame Interpolation 459 | 460 | https://arxiv.org/abs/2002.12259 461 | 462 | 463 | 4. 元迁移学习零样本超分 464 | 465 | https://arxiv.org/abs/2002.12213 466 | 467 | 5. 3D室内场景理解 468 | 469 | https://arxiv.org/abs/2002.12212 470 | 471 | 472 | 473 | 6.从有偏训练生成无偏场景图 474 | 475 | https://arxiv.org/abs/2002.11949 476 | 477 | 478 | 479 | 7. 自动编码双瓶颈哈希 480 | 481 | https://arxiv.org/abs/2002.11930 482 | 483 | 8. 一种用于人类轨迹预测的社会时空图卷积神经网络 484 | 485 | https://arxiv.org/abs/2002.11927 486 | 487 | 488 | 9. 面向面向深度人脸识别的通用表示学习 489 | 490 | https://arxiv.org/abs/2002.11841 491 | 492 | 493 | 10. 视觉表示泛化性 494 | 495 | https://arxiv.org/abs/1912.03330 496 | 497 | 498 | 11. 减弱上下文偏差 499 | 500 | https://arxiv.org/abs/2002.11812 501 | 502 | 503 | 12. 可迁移元技能的无监督强化学习 504 | 505 | https://arxiv.org/abs/1911.07450 506 | 507 | 508 | 13. 快速准确时空视频超分 509 | 510 | https://arxiv.org/abs/2002.11616 511 | 512 | 513 | 14. 对象关系图Teacher推荐学习的视频captioning 514 | 515 | https://arxiv.org/abs/2002.11566 516 | 517 | 518 | 15. 弱监督物体定位路由再思考 519 | 520 | https://arxiv.org/abs/2002.11359 521 | 522 | 523 | 16. 通过预培训学习视觉和语言导航的通用代理 524 | 525 | https://arxiv.org/pdf/2002.10638.pdf 526 | 527 | 528 | 17. GhostNet轻量级神经网络 529 | 530 | https://arxiv.org/pdf/1911.11907.pdf 531 | 532 | 533 | 534 | 18. AdderNet:在深度学习中，我们真的需要乘法吗? 535 | 536 | https://arxiv.org/pdf/1912.13200.pdf 537 | 538 | 539 | 19. CARS:高效神经结构搜索的持续进化 540 | 541 | https://arxiv.org/abs/1909.04977 542 | 543 | 544 | 20. 通过协作式的迭代级联微调来移除单图像中的反射 545 | 546 | https://arxiv.org/abs/1911.06634 547 | 548 | 549 | 21. 深度神经网络的滤波嫁接 550 | 551 | https://arxiv.org/pdf/2001.05868.pdf 552 | 553 | 554 | 22. PolarMask：将实例分割统一到FCN 555 | 556 | https://arxiv.org/pdf/1909.13226.pdf 557 | 558 | 559 | 23. 半监督语义图像分割 560 | 561 | https://arxiv.org/pdf/1811.07073.pdf 562 | 563 | 564 | 565 | 24. 通过选择性的特征再生来抵御通用攻击 566 | 567 | https://arxiv.org/pdf/1906.03444.pdf 568 | 569 | 570 | 25. 实时的基于细粒度草图的图像检索 571 | 572 | https://arxiv.org/abs/2002.10310 573 | 574 | 575 | 26. 用子问题询问VQA模型 576 | 577 | https://arxiv.org/abs/1906.03444 578 | 579 | 580 | 27. 从2D范例中学习神经三维纹理空间 581 | 582 | https://geometry.cs.ucl.ac.uk/projects/2020/neuraltexture/ 583 | 584 | 585 | 28. NestedVAE:通过薄弱的监督来隔离共同因素 586 | 587 | https://arxiv.org/abs/2002.11576 588 | 589 | 590 | 29. 实现多未来轨迹预测 591 | 592 | https://arxiv.org/pdf/1912.06445.pdf 593 | 594 | 595 | 596 | 30. 使用序列注意力模型进行稳健的图像分类 597 | 598 | https://arxiv.org/pdf/1912.02184 599 | 600 | 601 | 602 | 603 | 604 | 605 | 606 | # 【4】CVPR近年来最佳论文 607 | 608 | 2018Taskonomy: Disentangling Task Transfer LearningAmir R. Zamir, Stanford University; et al.
Alexander Sax, Stanford University
William Shen, Stanford University
Leonidas Guibas, Stanford University
Jitendra Malik, University of California Berkeley
Silvio Savarese, Stanford University
2017Densely Connected Convolutional NetworksZhuang Liu, Tsinghua University; et al.
Gao Huang, Cornell University
Laurens van der Maaten, Facebook AI Research
Kilian Q. Weinberger, Cornell University
Learning from Simulated and Unsupervised Images through Adversarial TrainingAshish Shrivastava, Apple Inc.; et al.
Tomas Pfister, Apple Inc.
Oncel Tuzel, Apple Inc.
Josh Susskind, Apple Inc.
Wenda Wang, Apple Inc.
Russ Webb, Apple Inc.
2016Deep Residual Learning for Image RecognitionKaiming He, Microsoft Research; et al.
Xiangyu Zhang, Microsoft Research
Shaoqing Ren, Microsoft Research
Jian Sun, Microsoft Research
2015DynamicFusion: Reconstruction and Tracking of Non-rigid Scenes in Real-TimeRichard A. Newcombe, University of Washington; et al.
Dieter Fox, University of Washington
Steven M. Seitz, University of Washington
2014What Camera Motion Reveals About Shape with Unknown BRDFManmohan Chandraker, NEC Labs America2013Fast, Accurate Detection of 100,000 Object Classes on a Single MachineThomas Dean, Google; et al.
Mark A. Ruzon, Google
Mark Segal, Google
Jonathon Shlens, Google
Sudheendra Vijayanarasimhan, Google
Jay Yagnik, Google
2012A Simple Prior-free Method for Non-Rigid Structure-from-Motion FactorizationYuchao Dai, Northwestern Polytechnical University; et al.
Hongdong Li, Australian National University
Mingyi He, Northwestern Polytechnical University
2011Real-time Human Pose Recognition in Parts from Single Depth ImagesJamie Shotton, Microsoft Research; et al.
Andrew Fitzgibbon, Microsoft Research
Mat Cook, Microsoft Research
Toby Sharp, Microsoft Research
Mark Finocchio, Microsoft Research
Richard Moore, Microsoft Research
Alex Kipman, Microsoft Research
Andrew Blake, Microsoft Research
2010Efficient Computation of Robust Low-Rank Matrix Approximations in the Presence of Missing Data usi...Anders Eriksson & Anton va den Hendel, University of Adelaide2009Single Image Haze Removal Using Dark Channel PriorKaiming He, The Chinese University of Hong Kong; et al.
Jian Sun, Microsoft Research
Xiaoou Tang, The Chinese University of Hong Kong
2008Global Stereo Reconstruction under Second Order Smoothness PriorsOliver Woodford, University of Oxford; et al.
Ian Reid, Oxford Brookes University
Philip Torr, University of Oxford
Andrew Fitzgibbon, Microsoft Research
Beyond Sliding Windows: Object Localization by Efficient Subwindow SearchChistoph H. Lampert, Max Planck Institut; et al.
Matthew B. Blaschko, Max Planck Institut
Thomas Hodmann, Google
2007Dynamic 3D Scene Analysis from a Moving VehicleBastian Leibe, ETH Zurich; et al.
Nico Cornelis, Katholieke Universiteit Leuven
Kurt COrnelis, Katholieke Universiteit Leuven
Luc Van Gool, ETH Zurich
2006Putting Objects in PerspectiveDerek Hoiem, Carnegie Mellon University; et al.
Alexei Efros, Carnegie Mellon University
Martial Hebert, Carnegie Mellon University
2005Real-Time Non-Rigid Surface DetectionJulien Pilet, École Polytechnique Fédérale de Lausanne; et al.
Vincent Lepetit, École Polytechnique Fédérale de Lausanne
Pascal Fua, École Polytechnique Fédérale de Lausanne
2004Programmable Imaging using a Digital Micromirror ArrayShree K. Nayar, Columbia University; et al.
Vlad Branzoi, Columbia University
Terry E. Boult, University of Colorado
2003Object Class Recognition by Unsupervised Scale-Invariant LearningRob Fergus, University of Oxford; et al.
Pietro Perona, California Institute of Technology
Andrew Zisserman, University of Oxford
2001Morphable 3D models from videoMatthew Brand, Mitsubishi Electric Research Laboratories2000Real-Time Tracking of Non-Rigid Objects using Mean ShiftDorin Comaniciu, Siemens Corporate Research; et al.
Visvanathan Ramesh, Siemens Corporate Research
Peter Meer, Rutgers University
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