├── .gitignore ├── 2007_on_one_method_of_non_diagonal_regularization_in_sparse_bayesian_learning └── Revm.pdf ├── 2008_automated_distinguishing_of_mouse_behavior_in_new_environment_and_under_amphetamine_using_decision_trees └── PosterC8_Konushin.pdf ├── 2008_automatic_segmentation_of_mouse_behavior_using_hidden_markov_model └── PosterA8_Vetrov.pdf ├── 2010_automatic_detection_of_cell_division_intensity_in_budding_yeast └── Cell-paper.pdf ├── 2010_intermodal_registration_algorithm_for_segmentation_of_mouse_brain_images_ └── Intermodal-paper.pdf ├── 2010_the_algorithm_for_detection_of_fuzzy_behavioral_patterns └── Vishnevskiy_FullPaper2.3.pdf ├── 2010_variational_relevance_vector_machine_for_tabular_data └── Kropotov10a.pdf ├── 2011_graph_preserving_label_decomposition_in_discrete_mrfs_with_selfish_potentials └── Dissml2011_GPLD.pdf ├── 2011_image_segmentation_with_a_shape_prior_based_on_simplified_skeleton └── 2011_image_segmentation_with_a_shape_prior_based_on_simplified_skeleton.pdf ├── 2011_mrf_energy_minimization_approach_with_epitomic_textural_global_term_for_image_segmentation_problems └── elshin_eacv11.pdf ├── 2012_minimizing_sparse_high_order_energies_by_submodular_vertex_cover └── nips2012svc.pdf ├── 2012_submodular_relaxation_for_mrfs_with_high_order_potentials └── SMR_HiPot12_supplementary.pdf ├── 2013_a_principled_deep_random_field_model_for_image_segmentation ├── koj_cvpr2013.pdf └── koj_cvpr2013_supplement.pdf ├── 2013_an_approach_to_segmentation_of_mouse_brain_images_via_intermodal_registration └── PatRec1302017VoroninKOR.pdf ├── 2013_automatic_determination_of_cell_division_rate_using_microscope_images └── PatRec1301009NekrasovKOR.pdf ├── 2013_learning_a_model_for_shape_constrained_image_segmentation_from_weakly_labeled_data └── yangel_emmcvpr_2013.pdf ├── 2013_spatial_inference_machines └── svk_cvpr2013.pdf ├── 2014_perceptually_inspired_layout_aware_losses_for_image_segmentation └── skeletalLossesLearning_eccv2014_cameraReady.pdf ├── 2014_putting_mrfs_on_a_tensor_train ├── icml2014_NROV-1.pdf └── icml2014_NROV_supplementary-1.pdf ├── 2014_variational_inference_for_sequential_distance_dependent_chinese_restaurant_process └── seqddcrp_icml2014_cr2.pdf ├── 2015_a_newton_type_incremental_method_with_a_superlinear_convergence_rate └── OPT2015_paper_16.pdf ├── 2015_inferring_m_best_diverse_labelings_in_a_single_one └── mbest_iccv15.pdf ├── 2015_joint_optimization_of_segmentation_and_color_clustering └── 0871.pdf ├── 2015_learning_representations_in_directed_networks └── ivanov_bartunov_aist2015.pdf ├── 2015_m_best_diverse_labelings_for_submodular_energies_and_beyond └── mbest_submodular_nips2015.pdf ├── 2015_multi_utility_learning_structured_output_learning_with_multiple_annotation_specific_loss_functions └── 1406.5910v1.pdf ├── 2015_tensorizing_neural_networks └── tensorNet_nips2015_arXiv.pdf ├── 2016_Figurnov_PerforatedCNNs.pdf ├── 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