├── 2019_cvpr
    ├── cvpr_2019_acceptance.xlsx
    ├── cvpr_2019_final_accept_list.txt
    ├── cvpr_2019_oral.csv
    ├── cvpr_2019_poster.csv
    ├── cvpr_acceptance_rate.PNG
    ├── keyword_cloud.png
    ├── keyword_cloud_title.PNG
    ├── top_keywords.png
    ├── top_keywords_2018.png
    └── top_keywords_2019+2018.png
├── CVPR_paper_statistics_using_chrome.ipynb
├── CVPR_paper_statistics_using_csv.ipynb
└── README.md


/2019_cvpr/cvpr_2019_acceptance.xlsx:
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https://raw.githubusercontent.com/hoya012/CVPR-2019-Paper-Statistics/0a17722937c317d78b1aaaed9eb33cde1cc6d128/2019_cvpr/cvpr_2019_acceptance.xlsx


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/2019_cvpr/cvpr_2019_final_accept_list.txt:
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   1 | Paper ID
   2 | 4
   3 | 5
   4 | 12
   5 | 16
   6 | 17
   7 | 19
   8 | 31
   9 | 33
  10 | 50
  11 | 55
  12 | 60
  13 | 68
  14 | 80
  15 | 88
  16 | 89
  17 | 92
  18 | 99
  19 | 100
  20 | 108
  21 | 109
  22 | 117
  23 | 135
  24 | 143
  25 | 145
  26 | 153
  27 | 155
  28 | 156
  29 | 158
  30 | 177
  31 | 190
  32 | 191
  33 | 194
  34 | 197
  35 | 208
  36 | 214
  37 | 219
  38 | 220
  39 | 226
  40 | 229
  41 | 236
  42 | 239
  43 | 242
  44 | 256
  45 | 257
  46 | 260
  47 | 270
  48 | 278
  49 | 281
  50 | 282
  51 | 292
  52 | 300
  53 | 302
  54 | 306
  55 | 325
  56 | 329
  57 | 332
  58 | 340
  59 | 348
  60 | 365
  61 | 366
  62 | 369
  63 | 370
  64 | 387
  65 | 389
  66 | 390
  67 | 391
  68 | 392
  69 | 396
  70 | 409
  71 | 410
  72 | 423
  73 | 430
  74 | 435
  75 | 438
  76 | 440
  77 | 444
  78 | 454
  79 | 462
  80 | 473
  81 | 474
  82 | 476
  83 | 484
  84 | 494
  85 | 496
  86 | 503
  87 | 513
  88 | 514
  89 | 515
  90 | 522
  91 | 545
  92 | 552
  93 | 556
  94 | 576
  95 | 577
  96 | 584
  97 | 586
  98 | 593
  99 | 598
 100 | 602
 101 | 609
 102 | 622
 103 | 629
 104 | 635
 105 | 642
 106 | 647
 107 | 648
 108 | 651
 109 | 662
 110 | 666
 111 | 673
 112 | 674
 113 | 675
 114 | 677
 115 | 686
 116 | 695
 117 | 698
 118 | 699
 119 | 704
 120 | 707
 121 | 710
 122 | 718
 123 | 719
 124 | 727
 125 | 740
 126 | 743
 127 | 747
 128 | 750
 129 | 759
 130 | 762
 131 | 764
 132 | 774
 133 | 778
 134 | 787
 135 | 797
 136 | 802
 137 | 808
 138 | 810
 139 | 821
 140 | 823
 141 | 829
 142 | 830
 143 | 833
 144 | 838
 145 | 843
 146 | 846
 147 | 848
 148 | 851
 149 | 856
 150 | 858
 151 | 859
 152 | 864
 153 | 866
 154 | 869
 155 | 906
 156 | 916
 157 | 921
 158 | 934
 159 | 948
 160 | 949
 161 | 952
 162 | 956
 163 | 963
 164 | 964
 165 | 974
 166 | 977
 167 | 984
 168 | 992
 169 | 993
 170 | 1005
 171 | 1006
 172 | 1011
 173 | 1019
 174 | 1022
 175 | 1023
 176 | 1034
 177 | 1038
 178 | 1040
 179 | 1043
 180 | 1047
 181 | 1050
 182 | 1054
 183 | 1060
 184 | 1061
 185 | 1062
 186 | 1064
 187 | 1065
 188 | 1070
 189 | 1073
 190 | 1075
 191 | 1077
 192 | 1097
 193 | 1098
 194 | 1099
 195 | 1103
 196 | 1111
 197 | 1113
 198 | 1115
 199 | 1127
 200 | 1128
 201 | 1134
 202 | 1135
 203 | 1140
 204 | 1146
 205 | 1151
 206 | 1157
 207 | 1165
 208 | 1166
 209 | 1167
 210 | 1170
 211 | 1173
 212 | 1176
 213 | 1182
 214 | 1183
 215 | 1185
 216 | 1188
 217 | 1191
 218 | 1195
 219 | 1197
 220 | 1199
 221 | 1202
 222 | 1213
 223 | 1218
 224 | 1221
 225 | 1222
 226 | 1225
 227 | 1227
 228 | 1233
 229 | 1235
 230 | 1240
 231 | 1246
 232 | 1252
 233 | 1257
 234 | 1258
 235 | 1260
 236 | 1273
 237 | 1274
 238 | 1279
 239 | 1290
 240 | 1291
 241 | 1294
 242 | 1296
 243 | 1298
 244 | 1303
 245 | 1306
 246 | 1318
 247 | 1324
 248 | 1335
 249 | 1345
 250 | 1347
 251 | 1358
 252 | 1360
 253 | 1365
 254 | 1370
 255 | 1371
 256 | 1373
 257 | 1381
 258 | 1382
 259 | 1388
 260 | 1391
 261 | 1393
 262 | 1396
 263 | 1399
 264 | 1405
 265 | 1409
 266 | 1410
 267 | 1418
 268 | 1421
 269 | 1423
 270 | 1426
 271 | 1427
 272 | 1428
 273 | 1429
 274 | 1431
 275 | 1437
 276 | 1438
 277 | 1439
 278 | 1440
 279 | 1441
 280 | 1444
 281 | 1453
 282 | 1455
 283 | 1456
 284 | 1461
 285 | 1462
 286 | 1466
 287 | 1470
 288 | 1472
 289 | 1476
 290 | 1477
 291 | 1489
 292 | 1497
 293 | 1500
 294 | 1502
 295 | 1503
 296 | 1504
 297 | 1510
 298 | 1517
 299 | 1519
 300 | 1523
 301 | 1525
 302 | 1528
 303 | 1530
 304 | 1532
 305 | 1535
 306 | 1536
 307 | 1554
 308 | 1557
 309 | 1558
 310 | 1560
 311 | 1562
 312 | 1570
 313 | 1574
 314 | 1581
 315 | 1584
 316 | 1586
 317 | 1593
 318 | 1595
 319 | 1597
 320 | 1606
 321 | 1607
 322 | 1610
 323 | 1617
 324 | 1624
 325 | 1628
 326 | 1632
 327 | 1637
 328 | 1638
 329 | 1642
 330 | 1648
 331 | 1651
 332 | 1655
 333 | 1670
 334 | 1671
 335 | 1673
 336 | 1681
 337 | 1682
 338 | 1687
 339 | 1692
 340 | 1710
 341 | 1711
 342 | 1714
 343 | 1717
 344 | 1725
 345 | 1726
 346 | 1730
 347 | 1735
 348 | 1738
 349 | 1745
 350 | 1750
 351 | 1758
 352 | 1759
 353 | 1766
 354 | 1769
 355 | 1770
 356 | 1771
 357 | 1773
 358 | 1777
 359 | 1781
 360 | 1782
 361 | 1785
 362 | 1786
 363 | 1787
 364 | 1789
 365 | 1798
 366 | 1800
 367 | 1810
 368 | 1824
 369 | 1828
 370 | 1834
 371 | 1835
 372 | 1843
 373 | 1847
 374 | 1848
 375 | 1853
 376 | 1855
 377 | 1863
 378 | 1867
 379 | 1870
 380 | 1875
 381 | 1881
 382 | 1884
 383 | 1887
 384 | 1891
 385 | 1892
 386 | 1894
 387 | 1899
 388 | 1903
 389 | 1910
 390 | 1911
 391 | 1915
 392 | 1920
 393 | 1927
 394 | 1929
 395 | 1931
 396 | 1932
 397 | 1935
 398 | 1936
 399 | 1937
 400 | 1938
 401 | 1943
 402 | 1944
 403 | 1959
 404 | 1961
 405 | 1962
 406 | 1964
 407 | 1968
 408 | 1970
 409 | 1981
 410 | 1983
 411 | 1989
 412 | 1990
 413 | 1994
 414 | 1995
 415 | 1997
 416 | 1998
 417 | 1999
 418 | 2003
 419 | 2011
 420 | 2016
 421 | 2017
 422 | 2019
 423 | 2027
 424 | 2029
 425 | 2031
 426 | 2043
 427 | 2048
 428 | 2050
 429 | 2059
 430 | 2066
 431 | 2072
 432 | 2078
 433 | 2089
 434 | 2104
 435 | 2110
 436 | 2119
 437 | 2124
 438 | 2125
 439 | 2128
 440 | 2131
 441 | 2137
 442 | 2138
 443 | 2139
 444 | 2140
 445 | 2154
 446 | 2161
 447 | 2180
 448 | 2188
 449 | 2205
 450 | 2206
 451 | 2207
 452 | 2208
 453 | 2212
 454 | 2219
 455 | 2230
 456 | 2239
 457 | 2248
 458 | 2258
 459 | 2262
 460 | 2273
 461 | 2278
 462 | 2284
 463 | 2286
 464 | 2292
 465 | 2293
 466 | 2298
 467 | 2305
 468 | 2306
 469 | 2310
 470 | 2315
 471 | 2318
 472 | 2319
 473 | 2320
 474 | 2328
 475 | 2330
 476 | 2331
 477 | 2333
 478 | 2334
 479 | 2336
 480 | 2338
 481 | 2345
 482 | 2348
 483 | 2349
 484 | 2368
 485 | 2374
 486 | 2377
 487 | 2380
 488 | 2392
 489 | 2401
 490 | 2408
 491 | 2421
 492 | 2423
 493 | 2426
 494 | 2427
 495 | 2432
 496 | 2439
 497 | 2440
 498 | 2444
 499 | 2446
 500 | 2447
 501 | 2448
 502 | 2452
 503 | 2454
 504 | 2455
 505 | 2459
 506 | 2460
 507 | 2466
 508 | 2468
 509 | 2471
 510 | 2483
 511 | 2485
 512 | 2491
 513 | 2492
 514 | 2493
 515 | 2494
 516 | 2503
 517 | 2506
 518 | 2512
 519 | 2513
 520 | 2525
 521 | 2527
 522 | 2532
 523 | 2537
 524 | 2555
 525 | 2556
 526 | 2557
 527 | 2562
 528 | 2572
 529 | 2575
 530 | 2579
 531 | 2589
 532 | 2591
 533 | 2596
 534 | 2597
 535 | 2599
 536 | 2601
 537 | 2605
 538 | 2609
 539 | 2619
 540 | 2623
 541 | 2635
 542 | 2649
 543 | 2651
 544 | 2656
 545 | 2657
 546 | 2658
 547 | 2659
 548 | 2669
 549 | 2672
 550 | 2674
 551 | 2676
 552 | 2677
 553 | 2693
 554 | 2699
 555 | 2705
 556 | 2710
 557 | 2711
 558 | 2722
 559 | 2725
 560 | 2726
 561 | 2729
 562 | 2730
 563 | 2738
 564 | 2746
 565 | 2752
 566 | 2754
 567 | 2758
 568 | 2786
 569 | 2791
 570 | 2793
 571 | 2795
 572 | 2799
 573 | 2807
 574 | 2818
 575 | 2823
 576 | 2829
 577 | 2840
 578 | 2843
 579 | 2856
 580 | 2857
 581 | 2859
 582 | 2860
 583 | 2861
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 585 | 2873
 586 | 2878
 587 | 2886
 588 | 2888
 589 | 2901
 590 | 2905
 591 | 2907
 592 | 2922
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 594 | 2931
 595 | 2932
 596 | 2944
 597 | 2950
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 599 | 2953
 600 | 2957
 601 | 2958
 602 | 2969
 603 | 2971
 604 | 2973
 605 | 2980
 606 | 2984
 607 | 2985
 608 | 2992
 609 | 2993
 610 | 2996
 611 | 2998
 612 | 2999
 613 | 3007
 614 | 3013
 615 | 3020
 616 | 3025
 617 | 3040
 618 | 3041
 619 | 3042
 620 | 3056
 621 | 3060
 622 | 3061
 623 | 3062
 624 | 3069
 625 | 3073
 626 | 3074
 627 | 3081
 628 | 3083
 629 | 3091
 630 | 3097
 631 | 3102
 632 | 3106
 633 | 3107
 634 | 3109
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 636 | 3119
 637 | 3121
 638 | 3124
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 640 | 3129
 641 | 3132
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 643 | 3140
 644 | 3142
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 647 | 3159
 648 | 3171
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 650 | 3179
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 652 | 3193
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 654 | 3199
 655 | 3203
 656 | 3211
 657 | 3213
 658 | 3223
 659 | 3227
 660 | 3230
 661 | 3233
 662 | 3244
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 664 | 3253
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 666 | 3256
 667 | 3257
 668 | 3258
 669 | 3260
 670 | 3269
 671 | 3270
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 675 | 3306
 676 | 3310
 677 | 3312
 678 | 3315
 679 | 3323
 680 | 3324
 681 | 3325
 682 | 3330
 683 | 3333
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 685 | 3336
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 693 | 3379
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 700 | 3404
 701 | 3406
 702 | 3416
 703 | 3419
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 707 | 3429
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 710 | 3440
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 713 | 3444
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 720 | 3467
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 727 | 3483
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1000 | 4854
1001 | 4855
1002 | 4863
1003 | 4874
1004 | 4878
1005 | 4880
1006 | 4882
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1024 | 4965
1025 | 4967
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1038 | 5033
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1100 | 5426
1101 | 5428
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1103 | 5442
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1111 | 5509
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1120 | 5561
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1126 | 5591
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1128 | 5596
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1162 | 5878
1163 | 5879
1164 | 5882
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1166 | 5904
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1168 | 5911
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1170 | 5924
1171 | 5932
1172 | 5939
1173 | 5940
1174 | 5944
1175 | 5947
1176 | 5953
1177 | 5957
1178 | 5959
1179 | 5972
1180 | 5986
1181 | 5988
1182 | 5993
1183 | 5995
1184 | 6014
1185 | 6020
1186 | 6022
1187 | 6024
1188 | 6028
1189 | 6040
1190 | 6049
1191 | 6075
1192 | 6085
1193 | 6090
1194 | 6096
1195 | 6102
1196 | 6103
1197 | 6105
1198 | 6115
1199 | 6117
1200 | 6119
1201 | 6129
1202 | 6148
1203 | 6155
1204 | 6169
1205 | 6172
1206 | 6173
1207 | 6180
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1215 | 6240
1216 | 6246
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1219 | 6264
1220 | 6265
1221 | 6276
1222 | 6280
1223 | 6287
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1225 | 6308
1226 | 6318
1227 | 6322
1228 | 6327
1229 | 6328
1230 | 6332
1231 | 6334
1232 | 6340
1233 | 6347
1234 | 6348
1235 | 6349
1236 | 6354
1237 | 6365
1238 | 6366
1239 | 6374
1240 | 6375
1241 | 6376
1242 | 6388
1243 | 6423
1244 | 6431
1245 | 6433
1246 | 6439
1247 | 6455
1248 | 6459
1249 | 6477
1250 | 6484
1251 | 6493
1252 | 6500
1253 | 6510
1254 | 6528
1255 | 6535
1256 | 6538
1257 | 6541
1258 | 6564
1259 | 6570
1260 | 6575
1261 | 6589
1262 | 6592
1263 | 6610
1264 | 6629
1265 | 6633
1266 | 6639
1267 | 6640
1268 | 6646
1269 | 6650
1270 | 6653
1271 | 6679
1272 | 6687
1273 | 6696
1274 | 6731
1275 | 6749
1276 | 6756
1277 | 6770
1278 | 6803
1279 | 6807
1280 | 6817
1281 | 6834
1282 | 6887
1283 | 6902
1284 | 6930
1285 | 6933
1286 | 6940
1287 | 6947
1288 | 6954
1289 | 6964
1290 | 6970
1291 | 6976
1292 | 6981
1293 | 7000
1294 | 7021
1295 | 7022
1296 | 7048
1297 | 7061
1298 | 7079
1299 | 7086
1300 | 7112
1301 | 7172


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/2019_cvpr/cvpr_2019_oral.csv:
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  1 | Paper ID,Paper Title,Author Names,Primary Subject Area,Secondary Subject Areas,Status,Day.Time.Track,Group,Topic,,,Track 1,Track 2,Track 3
  2 | 5,Finding Task-Relevant Features for Few-Shot Learning by Category Traversal,"Hongyang Li (The Chinese University of Hong Kong)*; David Eigen (Clarifai Inc.); Samuel Dodge (Clarifai Inc.); Matt Zeiler (Clarifai Inc.); Xiaogang Wang (Chinese University of Hong Kong, Hong Kong)",Deep Learning,,Oral,1.1.1,1,Deep Learning,,Orals 1.1,Deep Learning,3D Multiview,Action & Video
  3 | 6340,Edge-Labeling Graph Neural Network for Few-shot Learning,Jongmin Kim (KAIST)*; Taesup Kim (Université de Montréal); Sungwoong Kim (Kakao Brain); Chang D. Yoo (KAIST),Deep Learning,"Recognition: Detection, Categorization, Retrieval; Representation Learning; Segmentation, Grouping a",Oral,1.1.1,1,,,Orals 1.2,Recognition,Synthesis,Scenes & Representation
  4 | 5728,Generating Classification Weights with Graph Neural Networks for Few-Shot Learning,"Spyros Gidaris (valeo.ai)*; Nikos Komodakis (""ENPC, France"")",Deep Learning,"Recognition: Detection, Categorization, Retrieval",Oral,1.1.1,1,,,Orals 2.1,Deep Learning,3D Single View & RGBD,Motion & Biometrics
  5 | 257,Kervolutional Neural Networks,"Chen Wang (Nanyang Technological University)*; JIANFEI YANG (Nanyang Technological University); Prof. Dr. Respected Colleauge (IJCAS Editorial Member); Junsong Yuan (""State University of New York at Buffalo, USA"")",Deep Learning,Computer Vision Theory,Oral,1.1.1,2,,,Orals 2.2,Recognition,Language & Reasoning,Comp. Photography & Graphics
  6 | 4863,Why ReLu networks yield high-confidence predictions far away from the training data and how to mitigate the problem,Matthias Hein (University of Tuebingen)*; Maksym Andriushchenko (Saarland University); Julian Bitterwolf (University of Tuebingen),Deep Learning,Statistical Learning,Oral,1.1.1,2,,,Orals 3.1,Applications,"Learning, Physics, Theory, & Datasets",Segmentation & Grouping
  7 | 6679,On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions,Yusuke Tsuzuku (The University of Tokyo/RIKEN)*; Issei Sato (The university of Tokyo/RIKEN),Deep Learning,Others,Oral,1.1.1,2,,,Orals 3.2,Deep Learning,Face & Body,Low-level & Optimization
  8 | 948,Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization,Siyuan Qiao (Johns Hopkins University)*; Zhe Lin (Adobe Research); Jianming Zhang (Adobe Research); Alan Yuille (Johns Hopkins University),Deep Learning,,Oral,1.1.1,3,,,,,,
  9 | 2284,Hardness-Aware Deep Metric Learning,Wenzhao Zheng (Tsinghua University); Zhaodong Chen (Tsinghua University); Jiwen Lu (Tsinghua University)*; Jie Zhou (Tsinghua University),Deep Learning,Representation Learning,Oral,1.1.1,3,,,,,,
 10 | 1183,Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation,Chenxi Liu (Johns Hopkins University)*; Liang-Chieh Chen (Google Inc.); Florian Schroff (Google Inc.); Hartwig Adam (Google); Wei Hua (Google); Alan Yuille (Johns Hopkins University); Li Fei-Fei (Stanford University),Deep Learning,"Segmentation, Grouping and Shape",Oral,1.1.1,3,,,,,,
 11 | 1535,Learning to Learn Loss for Active Learning,Donggeun Yoo (Lunit)*; In So Kweon (KAIST),Deep Learning,"Others; Recognition: Detection, Categorization, Retrieval; Vision Applications and Systems",Oral,1.1.1,4,,,,,,
 12 | 2230,Striking the Right Balance with Uncertainty,Salman Khan (Australian National University (ANU)); Munawar Hayat (University of Canberra); Waqas Zamir (IIAI); Jianbing Shen (Beijing Institute of Technology)*; Ling Shao (Inception Institute of Artificial Intelligence),Deep Learning,Low-level Vision,Oral,1.1.1,4,,,,,,
 13 | 2368,AutoAugment: Learning Augmentation Strategies from Data,Ekin D Cubuk (Google Brain)*; Barret Zoph (Google); Dandelion Mane (Protocol Labs); Vijay Vasudevan (Google Brain); Quoc Le (Google Brain),Deep Learning,,Oral,1.1.1,4,,,,,,
 14 | 494,SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences,Huu Minh Le (Queensland University of Technology)*; Thanh-Toan Do (The University of Liverpool); Tuan NA Hoang (Singapore University of Technology and Design); Ngai-Man Cheung (Singapore University of Technology and Design),3D from Multiview and Sensors,,Oral,1.1.2,1,3D Multiview,,,,,
 15 | 2315,BAD SLAM: Bundle Adjusted Direct RGB-D SLAM,Thomas Schöps (ETH Zurich)*; Torsten Sattler (Chalmers University of Technology); Marc Pollefeys (ETH Zurich / Microsoft),3D from Multiview and Sensors,Datasets and Evaluation; RGBD sensors and analytics,Oral,1.1.2,1,,,,,,
 16 | 2286,Revealing Scenes by Inverting Structure from Motion Reconstructions,Francesco Pittaluga (University of Florida)*; Sanjeev J Koppal (University of Florida); Sing Bing Kang (Microsoft Research); Sudipta Sinha (Microsoft Research),3D from Multiview and Sensors,Deep Learning ; Image and Video Synthesis,Oral,1.1.2,1,,,,,,
 17 | 1185,Strand-accurate Multi-view Hair Capture,Giljoo Nam (KAIST)*; Chenglei Wu (Facebook Reality Labs); Min H. Kim (KAIST); Yaser Sheikh (Facebook Reality Labs),3D from Multiview and Sensors,Vision + Graphics,Oral,1.1.2,2,,,,,,
 18 | 6756,DeepSDF: Learning Continuous Signed Distance Functionsfor Shape Representation,Jeong Joon Park (University of Washington)*; Peter R Florence (MIT); Julian Straub (Facebook Reality Labs); Richard Newcombe (Facebook); Steven Lovegrove (Facebook),Deep Learning,3D from Multiview and Sensors; Representation Learning; Vision + Graphics,Oral,1.1.2,2,,,,,,
 19 | 2957,Pushing the Boundaries of View Extrapolation with Multiplane Images,Pratul Srinivasan (UC Berkeley)*; Richard Tucker (Google); Jonathan T Barron (Google Research); Ravi Ramamoorthi (University of California San Diego); Ren Ng (UC Berkeley); Noah Snavely (Cornell University and Google AI),3D from Multiview and Sensors,Computational Photography; Image and Video Synthesis; Vision + Graphics,Oral,1.1.2,2,,,,,,
 20 | 1935,GA-Net: Guided Aggregation Net for End-to-end Stereo Matching,Feihu Zhang (University of Oxford)*; Victor Adrian Prisacariu (University of Oxford); Yang Ruigang (Baidu); Philip Torr (University of Oxford),3D from Multiview and Sensors,Deep Learning,Oral,1.1.2,3,,,,,,
 21 | 2901,Real-time self-adaptive deep stereo,Alessio Tonioni (University of Bologna); Fabio Tosi (University of Bologna); Matteo Poggi (University of Bologna)*; Stefano Mattoccia (University of Bologna); Luigi Di Stefano (University of Bologna),3D from Multiview and Sensors,Deep Learning ; Low-level Vision,Oral,1.1.2,3,,,,,,
 22 | 6639,LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation,Sunok Kim (Yonsei University); Seungryong Kim (Yonsei University); Dongbo Min (Ewha Womans University); Kwanghoon Sohn (Yonsei Univ.)*,3D from Multiview and Sensors,Others,Oral,1.1.2,3,,,,,,
 23 | 3522,NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences,Chen Zhao (Huazhong University of Science and Technology); Zhiguo Cao (Huazhong Univ. of Sci.&Tech.); chi li (Huazhong University of Science and Technology); Xin Li (West Virginia University); Jiaqi Yang (Huazhong Univ. of Sci.&Tech.)*,3D from Multiview and Sensors,Representation Learning,Oral,1.1.2,4,,,,,,
 24 | 5852,Coordinate-Free Carlsson-Weinshall Duality and Relative Multi-View Geometry,Matthew Trager (NYU)*; Martial Hebert (Carnegie Mellon University); Jean Ponce (Inria),3D from Multiview and Sensors,Computer Vision Theory,Oral,1.1.2,4,,,,,,
 25 | 1944,Deep Reinforcement Learning of Volume-guided Progressive View Inpainting for 3D Point Scene Completion from a Single Depth Image,"Xiaoguang Han (Shenzhen Research Institute of Big Data, the Chinese University of Hong Kong (Shenzhen))*; Zhaoxuan Zhang (Dalian University of Technology, Shenzhen Research Institute of Big Data); Dong Du (University of Science and Technology of China, Shenzhen Research Institute of Big Data); Mingdai Yang (Chinese University of Hong Kong, Shenzhen); Jingming Yu (Alibaba); Pan Pan (Alibaba Group); Xin Yang (Dalian University of Technology); Ligang Liu (University of Science and Technology of China); Zixiang Xiong (Texas A&M University); Shuguang Cui (The Chinese University of Hong Kong, Shenzhen )",3D from Multiview and Sensors,Deep Learning,Oral,1.1.2,4,,,,,,
 26 | 292,Video Action Transformer Network,Rohit Girdhar (Carnegie Mellon University)*; Joao Carreira (DeepMind); Carl Doersch (DeepMind); Andrew Zisserman (University of Oxford),Action Recognition,Deep Learning,Oral,1.1.3,1,Action & Video,,,,,
 27 | 302,Timeception for Complex Action Recognition,Noureldien Hussein (University of Amsterdam)*; Stratis Gavves (University of Amsterdam); Arnold W.M. Smeulders (University of Amsterdam),Action Recognition,Video Analytics,Oral,1.1.3,1,,,,,,
 28 | 1670,STEP: Spatio-Temporal Progressive Learning for Video Action Detection,Xitong Yang (University of Maryland)*; Xiaodong Yang (NVIDIA Research); Ming-Yu Liu (NVIDIA); Fanyi Xiao (University of California Davis); Larry Davis (University of Maryland); Jan Kautz (NVIDIA),Video Analytics,,Oral,1.1.3,1,,,,,,
 29 | 1745,Relational Action Forecasting,Chen Sun (Google)*; Abhinav Shrivastava (University of Maryland); Carl Vondrick (Columbia University); Rahul Sukthankar (Google); Kevin Murphy (Google); Cordelia Schmid (Google),Action Recognition,Video Analytics,Oral,1.1.3,2,,,,,,
 30 | 2310,Long-Term Feature Banks for Detailed Video Understanding,Chao-Yuan Wu (UT Austin)*; Christoph Feichtenhofer (Facebook AI Research); Haoqi Fan (Facebook AI Research); Kaiming He (Facebook AI Research); Philipp Kraehenbuehl (UT Austin); Ross Girshick (FAIR),Action Recognition,"Deep Learning ; Recognition: Detection, Categorization, Retrieval; Scene Analysis and Understanding;",Oral,1.1.3,2,,,,,,
 31 | 229,Which Way Are You Going? Imitative Decision Learning for Path Forecasting in Dynamic Scenes,Yuke Li (York University)*,Motion and Tracking,Video Analytics,Oral,1.1.3,2,,,,,,
 32 | 3106,What and How Well You Performed? A Multitask Approach To Action Quality Assessment,Paritosh Parmar (UNLV)*; Brendan Morris (UNLV),"Face, Gesture, and Body Pose",Action Recognition ; Datasets and Evaluation; Video Analytics,Oral,1.1.3,3,,,,,,
 33 | 1382,MHP-VOS: Video Object Segmentation with Multiple Hypotheses Propagation,Shuangjie Xu (Huazhong University of Science and Technology); Daizong Liu (Huazhong University of Science and Technology); Linchao Bao (Tencent AI Lab)*; Wei Liu (Tencent); Pan Zhou ( Huazhong University of Science and Technology),Video Analytics,"Motion and Tracking; Segmentation, Grouping and Shape",Oral,1.1.3,3,,,,,,
 34 | 1517,2.5D Visual Sound,Ruohan Gao (University of Texas at Austin)*; Kristen Grauman (Facebook AI Research & UT Austin),Video Analytics,"Recognition: Detection, Categorization, Retrieval; Representation Learning",Oral,1.1.3,3,,,,,,
 35 | 1999,Language-driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model,"Weining Wang (Institute of Automation, Chinese Academy of Sciences)*; Yan Huang (Institute of Automation, Chinese Academy of Sciences); Liang Wang (NLPR, China)",Video Analytics,Vision + Language,Oral,1.1.3,4,,,,,,
 36 | 5591,Gaussian Temporal Awareness Networks for Action Localization,Fuchen Long (University of Science and Technology of China); Ting Yao (JD AI Research)*; Zhaofan Qiu (University of Science and Technology of China); Xinmei Tian (USTC); Jiebo Luo (U. Rochester); Tao Mei (AI Research of JD.com),Video Analytics,Action Recognition,Oral,1.1.3,4,,,,,,
 37 | 6940,Efficient Video Classification Using Fewer Frames,"Shweta Bhardwaj (Indian Institute of Technology Madras, Chennai)*; Mukundhan Srinivasan (NVIDIA); Mitesh M. Khapra (Indian Institute of Technology Madras)",Video Analytics,Deep Learning ; Vision Applications and Systems,Oral,1.1.3,4,,,,,,
 38 | 16,Joint Discriminative and Generative Learning for Person Re-identification,"Zhedong Zheng (University of Technology Sydney)*; Xiaodong Yang (NVIDIA Research); Zhiding Yu (NVIDIA); Liang Zheng (Australian National University); Yi Yang (University of Technology, Sydney); Jan Kautz (NVIDIA)","Recognition: Detection, Categorization, Retrieval","Face, Gesture, and Body Pose ; Representation Learning",Oral,1.2.1,1,Recognition,,,,,
 39 | 522,Unsupervised Person Re-identification by Soft Multilabel Learning,"Hong-Xing Yu (Sun Yat-Sen University); WEI-SHI ZHENG (Sun Yat-sen University, China)*; Ancong Wu (Sun Yat-sen University); Xiaowei Guo (Tencent Youtu Lab); Shaogang Gong (Queen Mary University of London); Jian-Huang Lai (Sun Yat-sen University)",Biometrics,"Recognition: Detection, Categorization, Retrieval; Video Analytics",Oral,1.2.1,1,,,,,,
 40 | 2262,Learning Context Graph for Person Search,Yichao Yan (Shanghai Jiao Tong University)*; Qiang Zhang (Shanghai Jiao Tong University); Bingbing Ni (Shanghai Jiao Tong University); Wendong Zhang (Shanghai Jiao Tong University); Minghao Xu (Shanghai Jiaotong University); Xiaokang Yang (Shanghai Jiao Tong University of China),"Recognition: Detection, Categorization, Retrieval",Visual Reasoning,Oral,1.2.1,1,,,,,,
 41 | 220,Gradient Matching Generative Networks for Zero-Shot Learning,Mert Bulent Sariyildiz (Bilkent University)*; Ramazan Gokberk Cinbis (METU),"Recognition: Detection, Categorization, Retrieval",Vision + Language,Oral,1.2.1,2,,,,,,
 42 | 4499,Doodle to Search: Practical Zero-Shot Sketch-based Image Retrieval,"Sounak Dey (Computer Vision Center)*; Pau Riba (Computer Vision Center); Anjan Dutta (Computer Vision Center); Josep Llados (""Computer Vision Center, Barcelona""); Yi-Zhe Song (Queen Mary University of London)","Recognition: Detection, Categorization, Retrieval",Deep Learning ; Vision + Graphics ; Vision Applications and Systems,Oral,1.2.1,2,,,,,,
 43 | 5230,Zero-Shot Task Transfer,"Arghya Pal ( Indian Institute of Technology Hyderabad)*; Vineeth N Balasubramanian (Indian Institute of Technology, Hyderabad)",Representation Learning,Computer Vision Theory; Deep Learning ; Optimization Methods; Vision + Graphics ; Vision Application,Oral,1.2.1,2,,,,,,
 44 | 906,C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection,"Fang Wan (University of Chinese Academy of Sciences)*; Chang Liu (University of Chinese Academy of Sciences); Wei Ke (University of Chinese Academy of Sciences); Xiangyang Ji (Tsinghua University); Jianbin Jiao (University of Chinese Academy of Sciences); Qixiang Ye (University of Chinese Academy of Sciences, China)","Recognition: Detection, Categorization, Retrieval",Optimization Methods; Others; Statistical Learning; Visual Reasoning,Oral,1.2.1,3,,,,,,
 45 | 2973,Learning Inter-pixel Relations for Weakly Supervised Instance Segmentation,Jiwoon Ahn (DGIST); Sunghyun Cho (DGIST); Suha Kwak (POSTECH)*,"Recognition: Detection, Categorization, Retrieval","Segmentation, Grouping and Shape",Oral,1.2.1,3,,,,,,
 46 | 3916,Attention-based Dropout Layer for Weakly Supervised Object Localization,Junsuk Choe (Yonsei University); Hyunjung Shim (Yonsei University)*,"Recognition: Detection, Categorization, Retrieval",Deep Learning ; Scene Analysis and Understanding,Oral,1.2.1,3,,,,,,
 47 | 1019,Domain Generalization by Solving Jigsaw Puzzles,Fabio M. Carlucci (Huawei); Antonio D'Innocente (Sapienza Università di Roma); Silvia Bucci (Italian Institute of Technology); Barbara Caputo (IIT); Tatiana Tommasi (Italian Institute of Technology)*,"Recognition: Detection, Categorization, Retrieval",Deep Learning,Oral,1.2.1,4,,,,,,
 48 | 3628,Transferrable Prototypical Networks for Unsupervised Domain Adaptation,Yingwei Pan (JD AI Research)*; Ting Yao (JD AI Research); Yehao Li (Sun Yat-Sen University); Yu Wang (JD AI Research); Chong-Wah Ngo (City University of Hong Kong); Tao Mei (AI Research of JD.com),"Recognition: Detection, Categorization, Retrieval",,Oral,1.2.1,4,,,,,,
 49 | 1182,Adversarial Meta-Adaptation Network for Blending-target Domain Adaptation,Ziliang Chen (Sun Yat-sen University)*; Jingyu Zhuang (Sun Yat-sen University); Xiaodan Liang (Sun Yat-sen University); Liang Lin (Sun Yat-sen University),"Recognition: Detection, Categorization, Retrieval",Deep Learning,Oral,1.2.1,4,,,,,,
 50 | 1113,ELASTIC: Improving CNNs by Instance Specific Scaling Policies,"Huiyu Wang (Johns Hopkins University)*; Aniruddha Kembhavi (Allen Institute for Artificial Intelligence); Ali Farhadi (University of Washington, Allen Institute for Artificial Intelligence); Alan Yuille (Johns Hopkins University); Mohammad Rastegari (Allen Institute for Artificial Intelligence)","Recognition: Detection, Categorization, Retrieval",Deep Learning,Oral,1.2.1,5,,,,,,
 51 | 1782,ScratchDet: Training Single-Shot Object Detectors from Scratch,"Rui Zhu (JD AI Research)*; Shifeng Zhang (CBSR, NLPR, CASIA); Xiaobo Wang (JD AI Research); Longyin Wen (JD Digits); Hailin Shi (JD AI Research); Liefeng Bo (JD Finance); Tao Mei (AI Research of JD.com)","Recognition: Detection, Categorization, Retrieval",Deep Learning,Oral,1.2.1,5,,,,,,
 52 | 3294,SFNet: Learning Object-aware Semantic Correspondence,Junghyup Lee (Yonsei University); DOHYUNG KIM (YONSEI UNIVERSITY); Jean Ponce (Inria); Bumsub Ham (Yonsei University)*,"Recognition: Detection, Categorization, Retrieval",Motion and Tracking; Scene Analysis and Understanding,Oral,1.2.1,5,,,,,,
 53 | 1294,Deep Metric Learning Beyond Binary Supervision,Sungyoun Kim (POSTECH); Minkyo Seo (POSTECH); Ivan Laptev (INRIA Paris); Minsu Cho (POSTECH); Suha Kwak (POSTECH)*,"Recognition: Detection, Categorization, Retrieval",,Oral,1.2.1,6,,,,,,
 54 | 1510,Learning to Cluster Faces on an Affinity Graph,Lei Yang (The Chinese University of Hong Kong)*; Xiaohang Zhan (The Chinese University of Hong Kong); Dapeng Chen (Sensetime Group Limited); Junjie Yan (Sensetime Group Limited); Chen Change Loy (Nanyang Technological University); Dahua Lin (The Chinese University of Hong Kong),"Recognition: Detection, Categorization, Retrieval","Deep Learning ; Face, Gesture, and Body Pose ; Segmentation, Grouping and Shape",Oral,1.2.1,6,,,,,,
 55 | 1610,C2AE: Class Conditioned Auto-Encoder for Open-set Recognition,Poojan B Oza (Johns Hopkins University)*; Vishal Patel (Johns Hopkins University),"Recognition: Detection, Categorization, Retrieval",Vision Applications and Systems,Oral,1.2.1,6,,,,,,
 56 | 1426,Shapes and Context: In-the-wild Image Synthesis & Manipulation,Aayush Bansal (Carnegie Mellon University)*; Yaser Sheikh (CMU); Deva Ramanan (Carnegie Mellon University),Image and Video Synthesis,"Big Data, Large Scale Methods ; Segmentation, Grouping and Shape; Vision + Graphics",Oral,1.2.2,1,Synthesis,,,,,
 57 | 462,Semantics Disentangling for Text-to-Image Generation,"Guojun Yin (University of Science and Technology of China); Bin Liu (University of Science and Technology of China); Lu Sheng (The Chinese University of Hong Kong)*; Nenghai Yu (University of Science and Technology of China); Xiaogang Wang (Chinese University of Hong Kong, Hong Kong); Jing Shao (Sensetime)",Image and Video Synthesis,Vision + Language,Oral,1.2.2,1,,,,,,
 58 | 2072,Semantic Image Synthesis with Spatially-Adaptive Normalization,Taesung Park (UC Berkeley)*; Ming-Yu Liu (NVIDIA); Ting-Chun Wang (NVIDIA); Jun-Yan Zhu (MIT),Image and Video Synthesis,Computational Photography; Deep Learning ; Vision + Graphics,Oral,1.2.2,1,,,,,,
 59 | 609,Progressive Pose Attention Transfer for Person Image Generation,Zhen Zhu (Huazhong University of Science and Technology)*; Tengteng Huang (Huazhong University of Science and Technology); Baoguang Shi (Microsoft); Miao Yu (Huazhong University of Science and Technology); Bofei Wang (ZTE Corporation); Xiang Bai (Huazhong University of Science and Technology),Image and Video Synthesis,,Oral,1.2.2,2,,,,,,
 60 | 3269,Unsupervised Person Image Generation with Semantic Parsing Transformation,Sijie Song (Peking University)*; Wei Zhang (JD AI Research); Jiaying Liu (Peking University); Tao Mei (AI Research of JD.com),Image and Video Synthesis,Vision Applications and Systems,Oral,1.2.2,2,,,,,,
 61 | 2439,DeepView: View synthesis with learned gradient descent,John P Flynn (Google Inc)*; Michael Broxton (Google); Paul E Debevec (Google VR); Graham Fyffe (Google Inc.); Ryan S. Overbeck (Google Inc.); Noah Snavely (Google); Richard Tucker (Google); Matthew DuVall (Google),Image and Video Synthesis,3D from Multiview and Sensors; Computational Photography; Deep Learning ; Optimization Methods,Oral,1.2.2,2,,,,,,
 62 | 4908,Animating Arbitrary Objects via Deep Motion Transfer,Aliaksandr Siarohin (University of Trento)*; Stéphane Lathuiliere (university of Trento); Sergey Tulyakov (Snap Inc); Elisa Ricci (FBK - Technologies of Vision); Nicu Sebe (University of Trento),Image and Video Synthesis,Deep Learning,Oral,1.2.2,3,,,,,,
 63 | 5428,Textured Neural Avatars,Aliaksandra Shysheya (Samsung); Egor Zakharov (Skoltech); Renat Bashirov (Samsung); Igor Pasechnik (Samsung); Egor Burkov (Skoltech); Dmitry Ulyanov (Skoltech); Yury Malkov (Samsung); Karim Iskakov (Samsung); Kara-Ali Aliev (Samsung); Alexey Ivakhnenko (Samsung); Alexander Vakhitov (Samsung AI Research Center); Victor Lempitsky (Samsung)*,Image and Video Synthesis,Deep Learning ; Vision + Graphics ; Vision Applications and Systems,Oral,1.2.2,3,,,,,,
 64 | 3190,IM-Net for High Resolution Video Frame Interpolation,Tomer Peleg (Samsung Israel R&D Center)*; Pablo Szekely (Samsung Israel R&D Center); Doron Sabo (Samsung Israel R&D Center); Omry Sendik (Samsung Israel R&D Center),Image and Video Synthesis,Datasets and Evaluation; Deep Learning ; Low-level Vision; Motion and Tracking; Vision Applications,Oral,1.2.2,3,,,,,,
 65 | 1240,Homomorphic Latent Space Interpolation for Unpaired Image-to-image Translation,Yingcong Chen (Chinese University of Hong Kong)*; Xiaogang XU (The Chinese University of Hong Kong); Zhuotao Tian (Chinese University of Hong Kong); Jiaya Jia (Chinese University of Hong Kong),Image and Video Synthesis,"Face, Gesture, and Body Pose ; Vision Applications and Systems",Oral,1.2.2,4,,,,,,
 66 | 3069,Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation,Hao Tang (University of Trento)*; Dan Xu (University of Oxford); Yan Yan (Texas State University); Yanzhi Wang (Northeastern University); Jason J Corso (University of Michigan); Nicu Sebe (University of Trento),Image and Video Synthesis,,Oral,1.2.2,4,,,,,,
 67 | 4341,Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping,"Huan Fu (The University of Sydney)*; Mingming Gong (University of Pittsburgh); Chaohui Wang (Laboratoire d'Informatique Gaspard Monge, Université Paris-Est); Kayhan Batmanghelich (University of Pittsburgh / Carnegie Mellon University); Kun Zhang (Carnegie Mellon University); Dacheng Tao (University of Sydney)",Image and Video Synthesis,Deep Learning,Oral,1.2.2,4,,,,,,
 68 | 3521,DeepVoxels: Learning Persistent 3D Feature Embeddings,Vincent Sitzmann (Stanford University)*; Justus Thies (Technical University of Munich); Felix Heide (Princeton University); Matthias Niessner (Technical University of Munich); Gordon Wetzstein (Stanford University); Michael Zollhoefer (Stanford University),Image and Video Synthesis,Deep Learning,Oral,1.2.2,5,,,,,,
 69 | 5944,Inverse Path Tracing for Joint Material and Lighting Estimation,Dejan Azinovic (Technical University of Munich)*; Tzu-Mao Li (MIT CSAIL); Matthias Niessner (Technical University of Munich); Anton Kaplanyan (Facebook Reality Labs),Image and Video Synthesis,Computational Photography; Computer Vision Theory; Optimization Methods; Scene Analysis and Understa,Oral,1.2.2,5,,,,,,
 70 | 4057,The Visual Centrifuge: Model-Free Layered Video Representations,Jean-Baptiste Alayrac (DeepMind); Joao Carreira (DeepMind)*; Andrew Zisserman (University of Oxford),Image and Video Synthesis,Computational Photography; Deep Learning ; Representation Learning; Scene Analysis and Understanding,Oral,1.2.2,5,,,,,,
 71 | 5720,Label-Noise Robust Generative Adversarial Networks,Takuhiro Kaneko (The University of Tokyo)*; Yoshitaka Ushiku (The University of Tokyo); Tatsuya Harada (The University of Tokyo),Image and Video Synthesis,Deep Learning ; Representation Learning,Oral,1.2.2,6,,,,,,
 72 | 5766,DLOW: Domain Flow for Adaptation and Generalization,Wen Li (ETH Zurich)*; RUI GONG (ETH Zurich); Yuhua Chen (ETH Zurich); Luc Van Gool (ETH Zurich),Image and Video Synthesis,Deep Learning ; Scene Analysis and Understanding,Oral,1.2.2,6,,,,,,
 73 | 6970,CollaGAN: Collaborative GAN for Missing Image Data Imputation,"Dongwook Lee (Korea Advanced Institute of Science and Technology)*; Junyoung Kim (Korea Advanced Institute of Science and Technology); Won-Jin Moon (Konkuk University Medical Center); Jong Chul Ye (""Department of Bio and Brain Engineering, KAIST, Korea"")",Image and Video Synthesis,"Deep Learning ; Face, Gesture, and Body Pose ; Medical, Biological and Cell Microscopy",Oral,1.2.2,6,,,,,,
 74 | 6592,d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding,Xiang Xu (University of Houston); Xiong Zhou (amazon); Ragav Venkatesan (Amazon)*; Orchid Majumder (Amazon); Guru Swaminathan (Amazon),"Recognition: Detection, Categorization, Retrieval",Representation Learning,Oral,1.2.3,1,Scenes and Representation,,,,,
 75 | 197,Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation,"Yawei Luo (University of Technology Sydney)*; Liang Zheng (Australian National University); Tao Guan (Huazhong University of Science and Technology); Junqing Yu (Huazhong University of Science & Technology); Yi Yang (University of Technology, Sydney)","Segmentation, Grouping and Shape",Deep Learning,Oral,1.2.3,1,,,,,,
 76 | 396,ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation,Tuan-Hung VU (Valeo.ai)*; Himalaya Jain (Valeo.ai); Maxime Bucher (Valeo.ai); Matthieu Cord (Sorbonne University); Patrick Pérez (Valeo.ai),Scene Analysis and Understanding,"Deep Learning ; Recognition: Detection, Categorization, Retrieval; Segmentation, Grouping and Shape",Oral,1.2.3,1,,,,,,
 77 | 325,Local Feature Augmentation with Cross-Modality Context,Zixin Luo (HKUST)*; Tianwei Shen (HKUST); Lei Zhou (HKUST); Jiahui Zhang (Tsinghua University); Yao Yao (The Hong Kong University of Science and Technology); Shiwei Li (HKUST); Tian Fang (HKUST); Long Quan (Hong Kong University of Science and Technology),Representation Learning,Low-level Vision,Oral,1.2.3,2,,,,,,
 78 | 556,Large-scale Long-Tailed Recognition in an Open World,Ziwei Liu (The Chinese University of Hong Kong)*; Zhongqi Miao (UC Berkeley); Xiaohang Zhan (The Chinese University of Hong Kong); Jiayun Wang (UC Berkeley / ICSI); Boqing Gong (Tencent AI Lab); Stella X Yu (UC Berkeley / ICSI),Representation Learning,"Recognition: Detection, Categorization, Retrieval",Oral,1.2.3,2,,,,,,
 79 | 5137,AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data,Liheng Zhang (University of Central Florida); Guo-Jun Qi (Huawei Cloud)*; Liqiang Wang (University of Central Florida); Jiebo Luo (University of Rochester),Representation Learning,Deep Learning,Oral,1.2.3,2,,,,,,
 80 | 576,SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks,René Schuster (DFKI)*; Oliver Wasenmüller (DFKI); Christian Unger (BMW); Didier Stricker (DFKI),Representation Learning,Deep Learning ; Motion and Tracking; Robotics + Driving; Scene Analysis and Understanding; Vision Ap,Oral,1.2.3,3,,,,,,
 81 | 2746,Learning Correspondence from the Cycle-consistency of Time,Xiaolong Wang (CMU)*; Allan Jabri (UC Berkeley); Alexei A Efros (UC Berkeley),Representation Learning,Motion and Tracking; Video Analytics,Oral,1.2.3,3,,,,,,
 82 | 2131,AE^2-Nets: Autoencoder in Autoencoder Networks,Changqing Zhang (Tianjin university)*; liu yeqing (Tianjin University ); Huazhu Fu (Inception Institute of Artificial Intelligence),Representation Learning,Statistical Learning,Oral,1.2.3,3,,,,,,
 83 | 1655,Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach,Proteek Roy (Michigan State University); Vishnu Boddeti (Michigan State University)*,Representation Learning,Optimization Methods; Statistical Learning,Oral,1.2.3,4,,,,,,
 84 | 3877,Learning Spatial Common Sense with Geometry-Aware Recurrent Networks,Hsiao-Yu Tung (Carnegie Mellon University)*; Ricson Cheng (Carnegie Mellon University); Katerina Fragkiadaki (Carnegie Mellon University),Representation Learning,"3D from Single Image; Recognition: Detection, Categorization, Retrieval; Scene Analysis and Understa",Oral,1.2.3,4,,,,,,
 85 | 3147,Structured Knowledge Distillation for Semantic Segmentation,"Yifan Liu (University of Adelaide); Ke Chen (Microsoft); Chris Liu (Microsoft); Zengchang Qin (Intelligent Computing & Machine Learning Lab, School of ASEE, Beihang University); Zhenbo Luo ( Samsung Research Institute China-Beijing); Jingdong Wang (Microsoft Research)*","Segmentation, Grouping and Shape",Scene Analysis and Understanding,Oral,1.2.3,4,,,,,,
 86 | 977,Scan2CAD: Learning CAD Model Alignment in RGB-D Scans,Armen Avetisyan (Technical University of Munich)*; Manuel Dahnert (Technical University of Munich); Angela Dai (Technical University of Munich); Manolis Savva (Simon Fraser University); Angel X Chang (Eloquent Labs); Matthias Niessner (Technical University of Munich),Scene Analysis and Understanding,"Recognition: Detection, Categorization, Retrieval; Vision + Graphics",Oral,1.2.3,5,,,,,,
 87 | 2799,Towards Scene Understanding: Unsupervised Monocular Depth Estimation with Semantic-aware Representation,Po-Yi Chen (National Taiwan University); Alexander H. Liu (National Taiwan University); Yen-Cheng Liu (Georgia Institute of Technology); Yu-Chiang Frank Wang (National Taiwan University)*,Scene Analysis and Understanding,"3D from Single Image; Representation Learning; Robotics + Driving; Segmentation, Grouping and Shape",Oral,1.2.3,5,,,,,,
 88 | 3107,Tell Me Where I Am: Object-level Scene Context Prediction,Xiaotian Qiao (City University of Hong Kong); Quanlong Zheng (City University of HongKong); Ying Cao (City University of Hong Kong)*; Rynson W.H. Lau (City University of Hong Kong),Scene Analysis and Understanding,Image and Video Synthesis,Oral,1.2.3,5,,,,,,
 89 | 1373,Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation,He Wang (Stanford University); Srinath Sridhar (Stanford University)*; Jingwei Huang (Stanford University); Julien Valentin (Google); Shuran Song (Princeton); Leonidas Guibas (Stanford University),Scene Analysis and Understanding,3D from Single Image; Datasets and Evaluation; Deep Learning ; RGBD sensors and analytics; Vision Ap,Oral,1.2.3,6,,,,,,
 90 | 2452,Supervised Fitting of Geometric Primitives to 3D Point Clouds,Lingxiao Li (Stanford University)*; Minhyuk Sung (Stanford University); Anastasia Dubrovina (Stanford); Li Yi (Stanford); Leonidas Guibas (Stanford University),"Segmentation, Grouping and Shape",Deep Learning ; Vision + Graphics,Oral,1.2.3,6,,,,,,
 91 | 4225,Do Better ImageNet Models Transfer Better?,Simon Kornblith (Google)*; Jon Shlens (Google); Quoc Le (Google Brain),Representation Learning,Deep Learning,Oral,1.2.3,6,,,,,,
 92 | 1213,Learning Video Representations from Correspondence Proposals,Xingyu Liu (Stanford University)*; Joon-Young Lee (Adobe Research); Hailin Jin (Adobe Research),Deep Learning,Action Recognition ; Representation Learning,Oral,2.1.1,1,Deep Learning,,,,,
 93 | 1503,SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks,"Bo Li (SenseTime Group Limited)*; Wei Wu (SenseTime Group Limited); Junjie Yan (Sensetime Group Limited); Qiang Wang (University of Chinese Academy of Sciences); Fangyi Zhang (Institue of Computing Technology); Junliang Xing (Institute of Automation, Chinese Academy of Sciences)",Deep Learning,Motion and Tracking,Oral,2.1.1,1,,,,,,
 94 | 2556,Sphere Generative Adversarial Network Based on Geometric Moment Matching,"Sung Woo Park (Chung-Ang Univ., Korea); Junseok Kwon (Chung-Ang Univ., Korea)*",Deep Learning,Image and Video Synthesis,Oral,2.1.1,1,,,,,,
 95 | 1431,Adversarial Attacks Beyond the Image Space,xiaohui zeng (toronto); Chenxi Liu (Johns Hopkins University)*; Yu-Siang Wang (National Taiwan University); Weichao Qiu (Johns Hopkins University); Lingxi Xie (Johns Hopkins University); Yu-Wing Tai (Tencent); Chi-Keung Tang (Hong Kong University of Science and Technology); Alan Yuille (Johns Hopkins University),Deep Learning,Vision + Graphics,Oral,2.1.1,2,,,,,,
 96 | 5297,Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks,Yinpeng Dong (Tsinghua University)*; Tianyu Pang (Tsinghua University); Hang Su (Tsinghua Univiersity); Jun Zhu (Tsinghua University),Deep Learning,"Recognition: Detection, Categorization, Retrieval",Oral,2.1.1,2,,,,,,
 97 | 6129,Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses,Jérôme Rony (ÉTS Montréal)*; Luiz Gustavo Hafemann (ÉTS Montréal); Luis Eduardo Oliveira (UFPR); Ismail Ben Ayed (ETS Montreal); Robert Sabourin (Canada); Eric Granger (ETS Montreal ),Deep Learning,Others; Vision Applications and Systems,Oral,2.1.1,2,,,,,,
 98 | 1472,A General and Adaptive Robust Loss Function,Jonathan T Barron (Google Research)*,Deep Learning,3D from Single Image; Computer Vision Theory; Image and Video Synthesis; Low-level Vision; Statistic,Oral,2.1.1,3,,,,,,
 99 | 2677,Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration,"Yang He (University of Technology Sydney)*; Ping Liu (UTS); Ziwei Wang (Information Science Academy, CETC); Zhilan Hu (Huawei); Yi Yang (University of Technology, Sydney)",Deep Learning,Others,Oral,2.1.1,3,,,,,,
100 | 4595,Learning to Quantize Deep Networks by Optimizing Quantization Intervals with Task Loss,Sangil Jung (Samsung)*; Changyong Son (Samsung); Seohyung Lee (Samsung); Jinwoo Son (Samsung); Jae-Joon Han (Samsung); Youngjun Kwak (Samsung); Sung Ju Hwang (KAIST); Changkyu Choi (Samsung),Deep Learning,Optimization Methods; Vision Applications and Systems,Oral,2.1.1,3,,,,,,
101 | 1773,Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection,Ruoqi Sun (Shanghai Jiao Tong University)*; Xinge Zhu (The Chinese University of Hong Kong); Chongruo Wu (UC Davis); Chen Huang (Carnegie Mellon University); Jianping Shi (Sensetime Group Limited); Lizhuang Ma (Shanghai Jiao Tong University),Deep Learning,"Low-level Vision; Segmentation, Grouping and Shape",Oral,2.1.1,4,,,,,,
102 | 3740,Unsupervised Learning of Dense Shape Correspondence,"Oshri Halimi (Technion)*; Or Litany (Facebook AI Research); Emanuele Rodola (Sapienza University of Rome); Alex Bronstein (Tel Aviv University, Israel); Ron Kimmel (Technion)",Deep Learning,"Computer Vision Theory; Recognition: Detection, Categorization, Retrieval; Segmentation, Grouping an",Oral,2.1.1,4,,,,,,
103 | 6188,RePr: Improved Training of Convolutional Filters,Aaditya Prakash (Brandeis University)*; James Storer (Brandeis University); Dinei Florencio (Microsoft Research); Cha Zhang (Microsoft Research),Deep Learning,,Oral,2.1.1,4,,,,,,
104 | 2726,Balanced Self-Paced Learning for Generative Adversarial Clustering Network,Kamran Ghasedi (University of Pittsburgh)*; Xiaoqian Wang (University of Pittsburgh); Cheng Deng (Xidian University); Heng Huang (University of Pittsburgh),Deep Learning,,Oral,2.1.1,5,,,,,,
105 | 2860,A Style-Based Generator Architecture for Generative Adversarial Networks,Tero Karras (NVIDIA Research)*; Samuli Laine (NVIDIA Research); Timo Aila (NVIDIA Research),Deep Learning,Image and Video Synthesis; Representation Learning,Oral,2.1.1,5,,,,,,
106 | 5426,Parallel Optimal Transport GAN,Gil Avraham (Monash University)*; Yan Zuo (Monash University); Tom Drummond (Monash University),Deep Learning,Optimization Methods; Representation Learning,Oral,2.1.1,5,,,,,,
107 | 1170,3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans,Ji Hou (Technical University of Munich); Angela Dai (Technical University of Munich); Matthias Niessner (Technical University of Munich)*,3D from Multiview and Sensors,"Segmentation, Grouping and Shape; Vision Applications and Systems",Oral,2.1.2,1,3D Single View & RGBD,,,,,
108 | 4854,Causes and Corrections for Bimodal Multipath Scanning with Structured Light,yu zhang (Nanjing University )*; Daniel Lau (University of Kentucky); Ying Yu (University of Kentucky),3D from Multiview and Sensors,RGBD sensors and analytics,Oral,2.1.2,1,,,,,,
109 | 7048,TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes,"Jingwei Huang (Stanford University)*; Haotian Zhang (Stanford University); Li Yi (Stanford); Thomas Funkhouser (Princeton University and Google, Inc.); Matthias Niessner (Technical University of Munich); Leonidas Guibas (Stanford University)",RGBD sensors and analytics,3D from Multiview and Sensors; Deep Learning ; Vision + Graphics,Oral,2.1.2,1,,,,,,
110 | 704,PlaneRCNN: 3D Plane Detection and Reconstruction from a Single View,Chen Liu (Washington University in St. Louis)*; Kihwan Kim (NVIDIA); Jinwei Gu (NVIDIA); Yasutaka Furukawa (Simon Fraser University); Jan Kautz (NVIDIA),3D from Multiview and Sensors,3D from Single Image; Scene Analysis and Understanding,Oral,2.1.2,2,,,,,,
111 | 3976,Occupancy Networks: Learning 3D Reconstruction in Function Space,"Lars M Mescheder (MPI-IS and University of Tuebingen)*; Michael Oechsle (MPI-IS, University of Tuebingen and ETAS GmbH); Michael Niemeyer (MPI-IS and University of Tuebingen); Sebastian Nowozin (Google AI Berlin); Andreas Geiger (MPI-IS and University of Tuebingen)",3D from Single Image,Deep Learning,Oral,2.1.2,2,,,,,,
112 | 2575,3D Shape Reconstruction from Images in the Frequency Domain,"Weichao Shen (Beijing Institute of Technology)*; Yuwei WU (Beijing Institute of Technology (BIT), China); Yunde Jia (Beijing Institute of Technology)",3D from Single Image,,Oral,2.1.2,2,,,,,,
113 | 1456,SiCloPe: Silhouette-based Clothed People,Ryota Natsume (Waseda University); Shunsuke Saito (University of Southern California)*; Zeng Huang (University of Southern California); Weikai Chen (USC Institute for Creative Technology); Chongyang Ma (Kwai Inc.); Shigeo Morishima (Waseda Research Institute for Science and Engineering); Hao Li (Pinscreen/University of Southern California/USC ICT),3D from Single Image,"Face, Gesture, and Body Pose",Oral,2.1.2,3,,,,,,
114 | 3102,Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation,"Hao Zhu (Nanjing University)*; Xinxin Zuo (University of Kentucky); Sen Wang (Northwestern Polytechnical University); Xun Cao (Nanjing University); Ruigang Yang (University of Kentucky, USA)",3D from Single Image,Deep Learning,Oral,2.1.2,3,,,,,,
115 | 4841,Convolutional Mesh Regression for Single-Image Human Shape Reconstruction,Nikos Kolotouros (University of Pennsylvania)*; Georgios Pavlakos (University of Pennsylvania); Kostas Daniilidis (University of Pennsylvania),3D from Single Image,"Face, Gesture, and Body Pose",Oral,2.1.2,3,,,,,,
116 | 2754,H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions,Bugra Tekin (Microsoft)*; Federica Bogo (Microsoft); Marc Pollefeys (ETH Zurich / Microsoft),3D from Single Image,"Face, Gesture, and Body Pose ; Recognition: Detection, Categorization, Retrieval",Oral,2.1.2,4,,,,,,
117 | 3419,Learning the Depths of Moving People by Watching Frozen People,Zhengqi Li (Cornell University)*; Tali Dekel (Google); Forrester Cole (Google Research); Richard Tucker (Google); Ce Liu (Google); Bill Freeman (Google); Noah Snavely (Cornell University and Google AI),3D from Single Image,3D from Multiview and Sensors; Deep Learning,Oral,2.1.2,4,,,,,,
118 | 3439,Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion,"Zhenpei Yang (The University of Texas at Austin); Kristen Grauman (Facebook AI Research & UT Austin); Qixing Huang (The University of Texas at Austin)*; Linjie Luo (Snap Inc); Xiaowei Zhou (Zhejiang Univ., China); Jeffrey Pan (Austin, Texas)",3D from Single Image,3D from Multiview and Sensors; Deep Learning ; Optimization Methods; RGBD sensors and analytics,Oral,2.1.2,4,,,,,,
119 | 1943,A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images,"Jiapeng Tang (South China University of Technology); Xiaoguang Han (Shenzhen Research Institute of Big Data, the Chinese University of Hong Kong (Shenzhen))*; Junyi Pan (South China University of Technology); Kui Jia (South China University of Technology); Xin Tong (Microsoft)",3D from Single Image,Deep Learning,Oral,2.1.2,5,,,,,,
120 | 3451,Structure-And-Motion-Aware Rolling Shutter Correction,Bingbing Zhuang (NUS)*; Quoc-Huy Tran (NEC Labs America); Pan Ji (NEC Labs); Loong Fah Cheong (NUS); Manmohan Chandraker (NEC Labs America),3D from Single Image,3D from Multiview and Sensors,Oral,2.1.2,5,,,,,,
121 | 3871,PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation,"sida peng (Zhejiang University); Yuan Liu (Zhejiang University); Qixing Huang (The University of Texas at Austin); Hujun Bao (Zhejiang University); Xiaowei Zhou (Zhejiang Univ., China)*",3D from Single Image,Robotics + Driving; Scene Analysis and Understanding,Oral,2.1.2,5,,,,,,
122 | 236,Learning Optical Flow with Occlusion Hallucination,Pengpeng Liu (The Chinese University of Hong Kong)*; Michael Lyu (The Chinese University of Hong Kong); Irwin King (The Chinese University of Hong Kong); Jia Xu (Tencent AI Lab),Motion and Tracking,Deep Learning,Oral,2.1.3,1,Motion & Biometrics,,,,,
123 | 3963,Taking a Deeper Look at the Inverse Compositional Algorithm,Zhaoyang Lv (GEORGIA TECH)*; Frank Dellaert (Georgia Tech); James Rehg (Georgia Institute of Technology); Andreas Geiger (MPI-IS and University of Tuebingen),Motion and Tracking,3D from Multiview and Sensors; Optimization Methods,Oral,2.1.3,1,,,,,,
124 | 1197,Deeper and Wider Siamese Networks for Real-Time Visual Tracking,Zhipeng Zhang (Chinese Academy of Sciences); Houwen Peng (Microsoft Research)*,Motion and Tracking,,Oral,2.1.3,1,,,,,,
125 | 952,High Fidelity Facial Performance Tracking In-the-wild,Jae Shin Yoon (University of Minnestoa)*; Takaaki Shiratori (Facebook Reality Labs); Shoou-I Yu (Oculus Research Pittsburgh); Hyun Soo Park (The University of Minnesota),"Face, Gesture, and Body Pose",3D from Single Image; Motion and Tracking,Oral,2.1.3,2,,,,,,
126 | 2738,Diverse Generation for Multi-agent Sports Games,Raymond A Yeh (UIUC)*; Alexander Schwing (UIUC); Jonathan Huang (Google); Kevin Murphy (Google),Motion and Tracking,Deep Learning,Oral,2.1.3,2,,,,,,
127 | 3444,Efficient Online Multi-Person 2D Pose Tracking with Recurrent Spatio-Temporal Affinity Fields,Yaadhav Raaj (CMU)*; Haroon Idrees (Carnegie Mellon University); Gines Hidalgo Martinez (Carnegie Mellon University); Yaser Sheikh (CMU),"Face, Gesture, and Body Pose",Action Recognition ; Motion and Tracking; Video Analytics,Oral,2.1.3,2,,,,,,
128 | 1391,GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching,"Simone Melzi (University of Verona)*; Riccardo Spezialetti (Universita' degli studi di Bologna); Federico Tombari (Technical University of Munich, Germany); Michael Bronstein (Università della Svizzera Italiana); Luigi Di Stefano (University of Bologna); Emanuele Rodola (Sapienza University of Rome)",Motion and Tracking,"3D from Multiview and Sensors; Low-level Vision; Recognition: Detection, Categorization, Retrieval;",Oral,2.1.3,3,,,,,,
129 | 6191,Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking,"Pascal Fua (EPFL, Switzerland); Andrii Maksai (EPFL)*",Motion and Tracking,Deep Learning,Oral,2.1.3,3,,,,,,
130 | 3119,Graph Convolutional Tracking,"Junyu Gao (National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences)*; Tianzhu Zhang (CAS, China); Changsheng Xu (CASIA)",Motion and Tracking,,Oral,2.1.3,3,,,,,,
131 | 4984,ATOM: Accurate Tracking by Overlap Maximization,Martin Danelljan (ETH Zurich)*; Goutam Bhat (ETH Zurich); Fahad Shahbaz Khan (Inception Institute of Artificial Intelligence); Michael Felsberg (Linköping University),Motion and Tracking,,Oral,2.1.3,4,,,,,,
132 | 1202,Visual Tracking via Adaptive Spatially-Regularized Correlation Filters,Kenan Dai (Dalian University of Technology); Dong Wang (Dalian University of Technology)*; Huchuan Lu (Dalian University of Technology); Chong Sun (Dalian University of Technology); Jianhua Li (Dalian University of Technology),Motion and Tracking,,Oral,2.1.3,4,,,,,,
133 | 496,Deep Tree Learning for Zero-shot Face Anti-Spoofing,Yaojie Liu (Michigan State University)*; Joel Stehouwer (Michigan State University); Amin Jourabloo (Michigan State University); Xiaoming Liu (Michigan State University),Biometrics,"Face, Gesture, and Body Pose",Oral,2.1.3,4,,,,,,
134 | 1140,ArcFace: Additive Angular Margin Loss for Deep Face Recognition,Jiankang Deng (Imperial College London)*; Jia Guo (DeepInsight); Niannan Xue (Imperial College London); Stefanos Zafeiriou (Imperial College Londong),Biometrics,"Face, Gesture, and Body Pose ; Recognition: Detection, Categorization, Retrieval",Oral,2.1.3,5,,,,,,
135 | 1617,Learning Joint Unique-Gait and Cross-Gait Representation by Minimizing Quintuplet Loss,"Kaihao Zhang (Australian National University)*; Wenhan Luo (Tencent AI Lab); Lin Ma (Tencent AI Lab); Wei Liu (Tencent); HONGDONG LI (Australian National University, Australia)",Biometrics,,Oral,2.1.3,5,,,,,,
136 | 4898,Gait Recognition via Disentangled Representation Learning,Ziyuan Zhang (Michigan State University)*; Luan Tran (Michigan State University); Xi Yin (Microsoft Could & AI); Yousef A Atoum (Yarmouk University); Xiaoming Liu (Michigan State University); Nanxin Wang (Ford Motor Company); Jian Wan (Ford Motor Company),Biometrics,"Face, Gesture, and Body Pose ; Representation Learning; Vision Applications and Systems",Oral,2.1.3,5,,,,,,
137 | 1462,Panoptic Feature Pyramid Network,Alexander Kirillov (Facebook AI Reserach)*; Kaiming He (Facebook AI Research); Ross Girshick (FAIR); Piotr Dollar (FAIR),"Recognition: Detection, Categorization, Retrieval","Segmentation, Grouping and Shape",Oral,2.2.1,1,Recognition,,,,,
138 | 2705,Mask Scoring R-CNN,Zhaojin Huang (Huazhong University of Science and Technology); Lichao Huang (Horizon Robotics); Yongchao Gong (Horizon Robotics ); Chang Huang (Horizon Robotics); Xinggang Wang (Huazhong Univ. of Science and Technology)*,"Recognition: Detection, Categorization, Retrieval",,Oral,2.2.1,1,,,,,,
139 | 3864,Reasoning-RCNN: Unifying Adaptive Global Reasoning into Large-scale Object Detection,Hang Xu (Huawei Noah's Ark Lab); ChenHan Jiang (Sun Yat-sen University); Xiaodan Liang (Sun Yat-sen University)*; Liang Lin (Sun Yat-sen University); Zhenguo Li (Huawei Noah's Ark Lab),"Recognition: Detection, Categorization, Retrieval",Deep Learning ; Visual Reasoning,Oral,2.2.1,1,,,,,,
140 | 1476,Cross-Modality Personalization for Retrieval,Nils Murrugarra-Llerena (University of Pittsburgh)*; Adriana Kovashka (University of Pittsburgh),"Recognition: Detection, Categorization, Retrieval",Datasets and Evaluation; Vision + Language,Oral,2.2.1,2,,,,,,
141 | 2623,Composing Text and Image for Image Retrieval - An Empirical Odyssey,"Nam Vo (Georgia Institute of Technology)*; Lu Jiang (Google); Chen Sun (Google); Kevin Murphy (Google); Li-Jia Li (Stanford); Li Fei-Fei (Stanford University); James Hays (Georgia Institute of Technology, USA)","Recognition: Detection, Categorization, Retrieval",Datasets and Evaluation; Representation Learning; Vision + Language,Oral,2.2.1,2,,,,,,
142 | 3524,Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation,"Xiaobing Wang (Samsung Research Institute China-Beijing)*; yingying jiang ( Samsung Research China,Beijing); Zhenbo Luo ( Samsung Research Institute China-Beijing); Cheng-lin Liu (Institute of Automation of Chinese Academy of Sciences); Hyunsoo Choi (SAMSUNG ELECTRONICS CO.,LTD); Sungjin Kim (SAMSUNG ELECTRONICS CO.,LTD)","Recognition: Detection, Categorization, Retrieval",Vision Applications and Systems,Oral,2.2.1,2,,,,,,
143 | 2657,Adaptive NMS: Refining Pedestrian Detection in a Crowd,"Songtao Liu (BUAA); Di Huang (Beihang University, China)*; Yunhong Wang (State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing 100191, China)","Recognition: Detection, Categorization, Retrieval","Face, Gesture, and Body Pose",Oral,2.2.1,3,,,,,,
144 | 3517,"Point in, Box out: Beyond Counting Persons in Crowds",yuting liu (sichuan university)*; Miaojing Shi (Inria Rennes); Qijun Zhao (Sichuan University); Xiaofang Wang (Inria Rennes),"Recognition: Detection, Categorization, Retrieval",,Oral,2.2.1,3,,,,,,
145 | 6264,Locating Objects Without Bounding Boxes,Javier Ribera (Purdue University)*; David Güera (Purdue University); Yuhao Chen (Purdue University); Edward Delp (Purdue University),"Recognition: Detection, Categorization, Retrieval",,Oral,2.2.1,3,,,,,,
146 | 3333,FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery,"Krishna Kumar Singh (University of California Davis)*; Utkarsh Ojha (University of California, Davis); Yong Jae Lee (University of California, Davis)","Recognition: Detection, Categorization, Retrieval",Image and Video Synthesis,Oral,2.2.1,4,,,,,,
147 | 3505,Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification,Si Wu (South China University of Technology)*; Jichang Li (South China University of Technology); Cheng Liu (City University of Hong Kong); Zhiwen Yu (South China University of Technology); Hau San Wong (City University of Hong Kong),"Recognition: Detection, Categorization, Retrieval",Deep Learning,Oral,2.2.1,4,,,,,,
148 | 4012,Sampling Techniques for Large-Scale Object Detection from Sparsely Annotated Objects,"Yusuke Niitani (Preferred Networks, Inc.)*; Takuya Akiba (Preferred Networks, Inc.); Tommi Kerola (Preferred Networks, Inc.); Toru Ogawa (Preferred Networks, Inc.); Shotaro Sano (Preferred Networks, Inc.); Shuji Suzuki (Preferred Networks, Inc.)","Recognition: Detection, Categorization, Retrieval",Deep Learning,Oral,2.2.1,4,,,,,,
149 | 4099,Curls & Whey: Boosting Black-Box Adversarial Attacks,Yucheng Shi (Tianjin University); Siyu Wang (Tianjin University); Yahong Han (Tianjin University)*,"Recognition: Detection, Categorization, Retrieval",Vision Applications and Systems,Oral,2.2.1,5,,,,,,
150 | 5988,Barrage of Random Transforms for Adversarially Robust Defense,Edward Raff (Booz Allen Hamilton)*; Jared Sylvester (Booz Allen Hamilton); Steven Forsyth (Nvidia); Mark McLean (Laboratory for Physical Sciences),"Recognition: Detection, Categorization, Retrieval","Big Data, Large Scale Methods ; Deep Learning",Oral,2.2.1,5,,,,,,
151 | 4648,Aggregation Cross-Entropy for Sequence Recognition,Zecheng Xie (South China University of Technology); Yaoxiong Huang (South China University of Technology); Yuanzhi Zhu (South China University of Technology); Lianwen Jin (South China University of Technology)*; Yuliang Liu (South China University of Technology); Lele Xie (South China University of Technology),"Recognition: Detection, Categorization, Retrieval",Deep Learning ; Document Analysis ; Statistical Learning; Vision Applications and Systems,Oral,2.2.1,5,,,,,,
152 | 4674,LaSO: Label-Set Operations networks for multi-label few-shot learning,"Amit Alfassy (IBM-Research); Leonid Karlinsky (IBM-Research)*; Amit Aides (IBM); Joseph Shtok (IBM-Reseach); Sivan Harary (IBM-Research); Rogerio Feris (IBM Research AI, MIT-IBM Watson AI Lab); Raja Giryes (Tel Aviv University); Alex Bronstein (Technion)","Recognition: Detection, Categorization, Retrieval",Deep Learning,Oral,2.2.1,6,,,,,,
153 | 5352,Few-Shot Learning with Localization in Realistic Settings,Davis Wertheimer (Cornell)*; Bharath Hariharan (Cornell University),"Recognition: Detection, Categorization, Retrieval","Deep Learning ; Segmentation, Grouping and Shape",Oral,2.2.1,6,,,,,,
154 | 5575,AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs,Massimiliano Mancini (Sapienza University of Rome)*; Samuel Rota Bulò (Mapillary Research); Barbara Caputo (IIT); Elisa Ricci (FBK - Technologies of Vision),"Recognition: Detection, Categorization, Retrieval",Deep Learning,Oral,2.2.1,6,,,,,,
155 | 12,Grounded Video Description,Luowei Zhou (University of Michigan)*; Yannis Kalantidis (Facebook Research); Xinlei Chen (Facebook AI Research); Jason J Corso (University of Michigan); Marcus Rohrbach (Facebook AI Research),Vision + Language,,Oral,2.2.2,1,Language & Reasoning,,,,,
156 | 3566,Streamlined Dense Video Captioning,Jonghwan Mun (POSTECH)*; Linjie Yang (ByteDance AI Lab); Zhou Ren (Snap Inc.); Ning Xu (Snap); Bohyung Han (Seoul National University),Vision + Language,Deep Learning ; Video Analytics,Oral,2.2.2,1,,,,,,
157 | 5612,Adversarial Inference for Multi-Sentence Video Description,Jae Sung Park (UC Berkeley); Marcus Rohrbach (Facebook AI Research); Trevor Darrell (UC Berkeley); Anna Rohrbach (UC Berkeley)*,Vision + Language,,Oral,2.2.2,1,,,,,,
158 | 4705,Unified Visual-Semantic Emebddings: Bridging Vision and Language with Structured Meaning Representations,"Hao Wu (Fudan University)*; Jiayuan Mao (Tsinghua University); Yufeng Zhang (Fudan University); Weiwei Sun ("" Fudan University, China""); Yuning Jiang (Bytedance); Lei Li (ByteDance AI Lab); Weiying Ma (Bytedance)",Vision + Language,Representation Learning,Oral,2.2.2,2,,,,,,
159 | 3640,Learning to Compose Dynamic Tree Structures for Visual Contexts,Kaihua Tang (Nanyang Technological University)*; Hanwang Zhang (Nanyang Technological University); Baoyuan Wu (Tencent AI Lab); Wenhan Luo (Tencent AI Lab); Wei Liu (Tencent),Vision + Language,Scene Analysis and Understanding; Visual Reasoning,Oral,2.2.2,2,,,,,,
160 | 5104,Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation,"Xin Wang (University of California, Santa Barbara)*; Qiuyuan Huang (Microsoft Research AI); Asli Celikyilmaz (Microsoft Research AI); Jianfeng Gao (Microsoft Research); Dinghan Shen (Duke University); Yuan-Fang Wang (UC Santa Barbara); William Yang Wang (UC Santa Barbara); Lei Zhang (Microsoft Research)",Vision + Language,Robotics + Driving; Vision Applications and Systems; Visual Reasoning,Oral,2.2.2,2,,,,,,
161 | 1824,Dynamic Fusion with Intra- and Inter-modality Attention Flow for Visual Question Answering,"gao peng (Chinese university of hong kong)*; Hongsheng Li (Chinese University of Hong Kong); Haoxuan You (Tsinghua University); Zhengkai Jiang (Institute of Automation，Chinese Academy of Sciences); Pan Lu (Tsinghua University); Steven Hoi (SMU); Xiaogang Wang (Chinese University of Hong Kong, Hong Kong)",Vision + Language,Vision Applications and Systems; Visual Reasoning,Oral,2.2.2,3,,,,,,
162 | 3454,Cycle-Consistency for Robust Visual Question Answering,Meet Shah (Facebook AI Research)*; Xinlei Chen (Facebook AI Research); Marcus Rohrbach (Facebook AI Research); Devi Parikh (Georgia Tech & Facebook AI Research),Vision + Language,,Oral,2.2.2,3,,,,,,
163 | 135,Embodied Question Answering in Photorealistic Environments with Point Cloud Perception,Erik Wijmans (Georgia Tech)*; Samyak Datta (Georgia Tech); Oleksandr Maksymets (Facebook AI Research); Abhishek Das (Georgia Tech); Georgia Gkioxari (Facebook); Stefan Lee (Georgia Institute of Technology); Irfan Essa (Georgia Institute of Technology); Dhruv Batra (Georgia Tech & Facebook AI Research); Devi Parikh (Georgia Tech & Facebook AI Research),Vision + Language,,Oral,2.2.2,3,,,,,,
164 | 3909,Reasoning Visual Dialogs with Structural and Partial Observations,Zilong Zheng (UCLA); Wenguan Wang (Inception Institute of Artificial Intelligence)*; Siyuan Qi (UCLA); Song-Chun Zhu (UCLA),Vision + Language,,Oral,2.2.2,4,,,,,,
165 | 3129,Recursive Visual Attention in Visual Dialog,Yulei Niu (Renmin University of China); Manli Zhang (Renmin University of China); Jianhong Zhang (Renmin University of China); Zhiwu Lu (Renmin University of China)*; Ji-Rong Wen (Renmin University of China); Hanwang Zhang (Nanyang Technological University),Vision + Language,Visual Reasoning,Oral,2.2.2,4,,,,,,
166 | 3820,Two Body Problem: Collaborative Visual Task Completion,"Unnat Jain (UIUC)*; Luca Weihs (Allen Institute for Artificial Intelligence); Eric Kolve (Allen AI); Mohammad Rastegari (Allen Institute for Artificial Intelligence); Svetlana Lazebnik (UIUC); Ali Farhadi (University of Washington, Allen Institute for Artificial Intelligence); Alexander Schwing (UIUC); Aniruddha Kembhavi (Allen Institute for Artificial Intelligence)",Visual Reasoning,"Recognition: Detection, Categorization, Retrieval; Scene Analysis and Understanding",Oral,2.2.2,4,,,,,,
167 | 7021,GQA: a new dataset for compositional question answering over real-world images,Drew A Hudson (Stanford University)*; Chris Manning (Stanford),Visual Reasoning,Datasets and Evaluation; Deep Learning ; Scene Analysis and Understanding; Vision + Language,Oral,2.2.2,5,,,,,,
168 | 1530,Text2Scene: Generating Compositional Scenes from Textual Descriptions,Fuwen Tan (University of Virginia)*; Song Feng (IBM Research); Vicente Ordonez (University of Virginia),Vision + Language,Image and Video Synthesis,Oral,2.2.2,5,,,,,,
169 | 5126,From Recognition to Cognition: Visual Commonsense Reasoning,"Rowan Zellers (University of Washington)*; Yonatan Bisk (University of Washington); Ali Farhadi (University of Washington, Allen Institute for Artificial Intelligence); Yejin Choi (University of Washington)",Vision + Language,"Recognition: Detection, Categorization, Retrieval; Scene Analysis and Understanding; Visual Reasonin",Oral,2.2.2,5,,,,,,
170 | 3587,The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation,Chih-Yao Ma (Georgia Institute of Technology)*; Zuxuan Wu (UMD); Ghassan AlRegib (Georgia Institute of Technology �); Caiming Xiong (Salesforce Research); Zsolt Kira (Georgia Institute of Technology),Vision + Language,Visual Reasoning,Oral,2.2.2,6,,,,,,
171 | 6287,Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation,Liyiming Ke (University of Washington); Xiujun Li (Microsoft Research)*; Yonatan Bisk (University of Washington); Ari Holtzman (University of Washington); Zhe Gan (Microsoft); Jingjing Liu (Microsoft); Jianfeng Gao (Microsoft Research); Yejin Choi (University of Washington); Siddhartha Srinivasa (University of Washington),Vision + Language,Robotics + Driving,Oral,2.2.2,6,,,,,,
172 | 1770,Learning to Learn How to Learn: Self-Adaptive Visual Navigation using Meta-Learning,"Mitchell N Wortsman (Allen Institute for Artificial Intelligence); Kiana Ehsani (University of Washington); Mohammad Rastegari (Allen Institute for Artificial Intelligence); Ali Farhadi (University of Washington, Allen Institute for Artificial Intelligence); Roozbeh Mottaghi (Allen Institute for AI)*",Visual Reasoning,Scene Analysis and Understanding; Statistical Learning,Oral,2.2.2,6,,,,,,
173 | 1064,From One Photon to a Billion: High Flux Imaging with Single-Photon Sensors,"Atul N Ingle (University of Wisconsin-Madison)*; Andreas Velten (University of Wisconsin - Madison); Mohit Gupta (""University of Wisconsin-Madison, USA "")",Computational Photography,Physics-based Vision and Shape-from-X,Oral,2.2.3,1,Comp. Photography & Graphics,,,,,
174 | 1624,Photon-Flooded Single-Photon 3D Cameras,"Anant Gupta (University of Wisconsin Madison)*; Atul N Ingle (University of Wisconsin-Madison); Andreas Velten (University of Wisconsin - Madison); Mohit Gupta (""University of Wisconsin-Madison, USA "")",Computational Photography,Physics-based Vision and Shape-from-X,Oral,2.2.3,1,,,,,,
175 | 2059,Acoustic Non-Line-of-Sight Imaging,David Lindell (Stanford University)*; Gordon Wetzstein (Stanford University); Vladlen Koltun (Intel Labs),Computational Photography,,Oral,2.2.3,1,,,,,,
176 | 3310,Steady-state Non-Line-of-Sight Imaging,Wenzheng Chen (University of Toronto); Simon Daneau (Algolux)*; Colin Brosseau (Algolux); Felix Heide (Princeton University),Computational Photography,Low-level Vision; Physics-based Vision and Shape-from-X,Oral,2.2.3,2,,,,,,
177 | 2427,A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction,Shumian Xin (Carnegie Mellon University); Sotiris Nousias (University College London); Kyros Kutulakos (University of Toronto); Aswin Sankaranarayanan (Carnegie Mellon University); Srinivasa G Narasimhan (Carnegie Mellon University); Ioannis Gkioulekas (Carnegie Mellon University)*,Computational Photography,Physics-based Vision and Shape-from-X,Oral,2.2.3,2,,,,,,
178 | 474,End-to-end Projector Photometric Compensation,Bingyao Huang (Temple University)*; Haibin Ling (Temple University),Vision + Graphics,Computational Photography; Deep Learning ; Others,Oral,2.2.3,2,,,,,,
179 | 2605,Bringing a Blurry Frame Alive at High Frame-Rate with an Event Camera,"Liyuan Pan (The Australian National University)*; cedric scheerlinck (The Australian National University); RICHARD HARTLEY (Australian National University, Australia); Miaomiao Liu (The Australian National University); Yuchao Dai (Northwestern Polytechnical University); Xin Yu (Australian National University)",Computational Photography,Image and Video Synthesis; Vision Applications and Systems,Oral,2.2.3,3,,,,,,
180 | 5932,Bringing Alive Blurred Moments!,"Kuldeep Purohit (Indian Institute of Technology Madras)*; Anshul Shah (University of Maryland, College Park); Rajagopalan N Ambasamudram (Indian Institute of Technology Madras)",Computational Photography,Low-level Vision,Oral,2.2.3,3,,,,,,
181 | 1607,Learning to Synthesize Motion Blur,Tim Brooks (Google)*; Jonathan T Barron (Google Research),Computational Photography,Deep Learning ; Image and Video Synthesis; Motion and Tracking; Vision + Graphics,Oral,2.2.3,3,,,,,,
182 | 2861,Underexposed Photo Enhancement using Deep Illumination Estimation,"Ruixing Wang (The Chinese University of Hong Kong); Qing Zhang ( Sun Yat-sen University); Chi-Wing Fu (The Chinese University of Hong Kong); Xiaoyong Shen (Tencent); WEI-SHI ZHENG (Sun Yat-sen University, China)*; Jiaya Jia (Chinese University of Hong Kong)",Computational Photography,Deep Learning ; Low-level Vision,Oral,2.2.3,4,,,,,,
183 | 2843,Blind Visual Motif Removal from a Single Image,Amir Hertz (Tel Aviv University)*; Sharon Fogel (Tel-Aviv university); Rana Hanocka (TAU); Raja Giryes (Tel Aviv University); Danny Cohen-Or (Tel Aviv University),Vision + Graphics,Deep Learning,Oral,2.2.3,4,,,,,,
184 | 6541,Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising,Wei He (RIKEN AIP)*; Quanming Yao (4Paradigm); Chao Li (RIKEN); Naoto Yokoya (RIKEN Center for Advanced Intelligence Project (AIP)); Qibin Zhao (RIKEN),Low-level Vision,Vision + Graphics,Oral,2.2.3,4,,,,,,
185 | 4943,Total Scene Capture: Neural Rerendering in the Wild,"Moustafa Meshry (University of Maryland)*; Ricardo Martin-Brualla (Google); Noah Snavely (Cornell University and Google AI); Hugues Hoppe (Google Inc.); Sameh Khamis (Google); Rohit Pandey (Google); Dan B Goldman (Google, Inc.)",Vision + Graphics,3D from Multiview and Sensors; Image and Video Synthesis,Oral,2.2.3,5,,,,,,
186 | 430,GeoNet: Deep Geodesic Networks for Point Cloud Analysis,Tong He (UCLA)*; Haibin Huang (Face++ (Megvii)); Li Yi (Stanford); Yuqian Zhou (UIUC); QIHAO WU (Face++ (Megvii)); jue wang (Face++ (Megvii)); Stefano Soatto (UCLA),Vision + Graphics,"Deep Learning ; Representation Learning; Segmentation, Grouping and Shape",Oral,2.2.3,5,,,,,,
187 | 2440,MeshAdv: Adversarial Meshes for Visual Recognition,"CHAOWEI XIAO (University of Michigan, Ann Arbor); Dawei Yang (University of Michigan, Ann Arbor)*; Bo Li (University of Illinois at Urbana–Champaign); Jia Deng (Princeton University); mingyan liu (university of Michigan, Ann Arbor)",Vision + Graphics,Deep Learning,Oral,2.2.3,5,,,,,,
188 | 4701,Fast Spatially-Varying Indoor Lighting Estimation,Mathieu Garon (Université Laval); Kalyan Sunkavalli (Adobe Research); Nathan Carr (Adobe); Sunil Hadap (Adobe); Jean-Francois Lalonde (Université Laval)*,Vision + Graphics,Computational Photography; Deep Learning,Oral,2.2.3,6,,,,,,
189 | 1188,Neural Illumination: Lighting Prediction for Indoor Environments,"Shuran Song (Princeton)*; Thomas Funkhouser (Princeton University and Google, Inc.)",Vision + Graphics,3D from Single Image; Scene Analysis and Understanding,Oral,2.2.3,6,,,,,,
190 | 4363,Deep Sky Modeling for Single Image Outdoor Lighting Estimation,Yannick Hold-Geoffroy (Adobe Research)*; Akshaya Athwale (Indian Institute of Technology Dhanbad); Jean-Francois Lalonde (Université Laval),Vision + Graphics,Computational Photography; Deep Learning ; Scene Analysis and Understanding,Oral,2.2.3,6,,,,,,
191 | 2180,Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology,"Ke Yan (National Institutes of Health)*; Yifan Peng (NIH); Veit Sanfort (NIH); Mohammadhadi Bagheri (National Institutes of Health); Zhiyong Lu (NLM/NCBI/NIH); Ronald Summers (National Institutes of Health, Bethesda, Maryland, United States)","Medical, Biological and Cell Microscopy","Datasets and Evaluation; Deep Learning ; Recognition: Detection, Categorization, Retrieval; Represen",Oral,3.1.1,1,Applications,,,,,
192 | 4246,Robust Histopathology Image Analysis: to Label or to Synthesize?,Le Hou (Stony Brook University)*; Ayush Agarwal (Stanford University); Dimitris Samaras (Stony Brook University); Tahsin Kurc (Stony Brook University); Rajarsi Gupta (Stony Brook University); Joel Saltz (Stony Brook University),"Medical, Biological and Cell Microscopy","Segmentation, Grouping and Shape; Vision Applications and Systems",Oral,3.1.1,1,,,,,,
193 | 6477,Data augmentation with spatial and appearance transforms for one-shot medical image segmentation,Amy Zhao (MIT)*; Guha Balakrishnan (MIT); Fredo Durand (MIT); John Guttag (MIT); Adrian V Dalca (MIT),"Medical, Biological and Cell Microscopy",Image and Video Synthesis,Oral,3.1.1,1,,,,,,
194 | 1853,Shifting More Attention to Video Salient Object Detection,Deng-Ping Fan (Nankai University); Wenguan Wang (Inception Institute of Artificial Intelligence); Ming-Ming Cheng (Nankai University)*; Jianbing Shen (Beijing Institute of Technology),Vision Applications and Systems,Low-level Vision,Oral,3.1.1,2,,,,,,
195 | 864,Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration,De-An Huang (Stanford University)*; Suraj Nair (Stanford University); Danfei Xu (Stanford University); Yuke Zhu (Stanford University); Animesh Garg (Stanford University); Li Fei-Fei (Stanford University); Silvio Savarese (Stanford University); Juan Carlos Niebles (Stanford University),Robotics + Driving,Visual Reasoning,Oral,3.1.1,2,,,,,,
196 | 1296,Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry,"Fei Xue (Peking University)*; Xin Wang (Peking University); Shunkai Li (Peking University); Qiuyuan Wang (Peking University); Junqiu Wang (Beijing Changcheng Aviation Measurement and Control Institute); Hongbin Zha (Peking University, China)",Robotics + Driving,Deep Learning ; Motion and Tracking,Oral,3.1.1,2,,,,,,
197 | 3139,Image Generation from Layout,Bo Zhao (University of British Columbia)*; Lili Meng (University of British Columbia); Weidong Yin (University of British Columbia); Leonid Sigal (University of British Columbia),Vision Applications and Systems,Vision + Graphics,Oral,3.1.1,3,,,,,,
198 | 4603,Multimodal Explanations by Predicting Counterfactuality in Videos,Atsushi Kanehira (The University of Tokyo)*; Kentaro Takemoto (University of Tokyo); Sho Inayoshi (The University of Tokyo); Tatsuya Harada (The University of Tokyo),Vision Applications and Systems,Video Analytics; Vision + Language,Oral,3.1.1,3,,,,,,
199 | 4606,Learning to Explain with Complemental Examples,Atsushi Kanehira (The University of Tokyo)*; Tatsuya Harada (The University of Tokyo),Vision Applications and Systems,Vision + Language,Oral,3.1.1,3,,,,,,
200 | 3441,HAQ: Hardware-Aware Automated Quantization,Kuan Wang (MIT); Zhijian Liu (MIT); Yujun Lin (MIT); Ji Lin (MIT); Song Han (MIT)*,Vision Applications and Systems,Deep Learning,Oral,3.1.1,4,,,,,,
201 | 4965,Content Authentication for Neural Imaging Pipelines: End-to-end Optimization of Photo Provenance in Complex Distribution Channels,Pawel Korus (New York University)*; Nasir Memon (New York University),Vision Applications and Systems,Low-level Vision,Oral,3.1.1,4,,,,,,
202 | 5712,Inverse Procedural Modeling of Knitwear,Elena Trunz (University of Bonn)*; Sebastian Merzbach (University of Bonn); Jonathan Klein (University of Bonn); Thomas Schulze (University of Bonn); Michael Weinmann (University of Bonn); Reinhard Klein (University of Bonn),Vision Applications and Systems,,Oral,3.1.1,4,,,,,,
203 | 2857,Estimating 3D Motion and Forces of Person-Object Interactions from Monocular Video,Zongmian Li (INRIA Paris)*; Jiri Sedlar (CVUT); Justin Carpentier (INRIA); Ivan Laptev (INRIA Paris); Nicolas Mansard (LAAS-CNRS); Josef Sivic (INRIA),Robotics + Driving,Action Recognition ; Video Analytics,Oral,3.1.1,5,,,,,,
204 | 4235,DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds,Li Ding (University of Rochester); Chen Feng (New York University)*,Robotics + Driving,3D from Multiview and Sensors; Deep Learning ; RGBD sensors and analytics,Oral,3.1.1,5,,,,,,
205 | 4880,End-to-end Interpretable Neural Motion Planner,"Wenyuan Zeng (Uber ATG, University of Toronto); Wenjie Luo (Uber ATG / University of Toronto)*; Shun Da Suo (Uber ATG, University of Toronto); Abbas Sadat (Uber ATG); Bin Yang (Uber ATG & University of Toronto); Sergio Casas Romero (Uber ATG, University of Toronto); Raquel Urtasun (Uber ATG)",Robotics + Driving,,Oral,3.1.1,5,,,,,,
206 | 2609,"Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inferential Model","Tian Han (University of California, Los Angeles)*; Erik Nijkamp (UCLA); Xiaolin Fang (Zhejiang University); Mitchell K Hill (UCLA Department of Statistics); Song-Chun Zhu (UCLA); Ying Nian Wu (University of California, Los Angeles)",Statistical Learning,Deep Learning ; Image and Video Synthesis,Oral,3.1.2,1,"Learning, Physics, Theory, & Datasets",,,,,
207 | 2829,IMAGE DEFORMATION META-NETWORK FOR ONE-SHOT LEARNING,Zitian Chen (Fudan University); Yanwei Fu (Fudan University)*; Yu-Xiong Wang (Carnegie Mellon University); Lin Ma (Tencent AI Lab); Wei Liu (Tencent); Martial Hebert (Carnegie Mellon University),Statistical Learning,Representation Learning,Oral,3.1.2,1,,,,,,
208 | 4917,Online high-rank matrix completion,Jicong Fan (Cornell University)*; Madeleine Udell (Cornell University),Statistical Learning,"Big Data, Large Scale Methods ; Motion and Tracking",Oral,3.1.2,1,,,,,,
209 | 1274,Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds,Tiancheng Zhi (Carnegie Mellon University)*; Bernardo Pires (-); Martial Hebert (Carnegie Mellon School of Computer Science); Srinivasa G Narasimhan (Carnegie Mellon University),Physics-based Vision and Shape-from-X,Computational Photography,Oral,3.1.2,2,,,,,,
210 | 2138,ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging,"Samarth Brahmbhatt (Georgia Institute of Technology)*; Cusuh Ham (Georgia Institute of Technology); Charlie Kemp (Georgia Institute of Technology); James Hays (Georgia Institute of Technology, USA)",Datasets and Evaluation,"Others; Robotics + Driving; Segmentation, Grouping and Shape",Oral,3.1.2,2,,,,,,
211 | 4535,Robust Subspace Clustering with Independent and Piecewise Identically Distributed Noise Modeling,Yuanman Li (University of Macau); Jiantao Zhou (University of Macau)*; Xianwei Zheng (Foshan University); Jinyu Tian (University of Macau); Yuan Yan Tang (University of Macau),Computer Vision Theory,"Representation Learning; Segmentation, Grouping and Shape; Vision Applications and Systems",Oral,3.1.2,2,,,,,,
212 | 4185,What Correspondences Reveal about Unknown Camera and Motion Models?,Thomas Probst (ETH Zurich)*; Ajad Chhatkuli (ETH Zurich); Danda Pani Paudel (ETH Zürich); Luc Van Gool (ETH Zurich),Computer Vision Theory,3D from Multiview and Sensors,Oral,3.1.2,3,,,,,,
213 | 1504,Self-calibrating Deep Photometric Stereo Networks,Guanying Chen (The University of Hong Kong)*; Kai Han (University of Oxford); Boxin Shi (Peking University); Yasuyuki Matsushita (Osaka University); Kwan-Yee K. Wong (The University of Hong Kong),Physics-based Vision and Shape-from-X,Computational Photography,Oral,3.1.2,3,,,,,,
214 | 4994,Know Before You Go: 3D Tracking and Forecasting with Rich Maps,"John W Lambert (Georgia Institute of Technology)*; James Hays (Georgia Institute of Technology, USA); Jagjeet Singh (CMU); MingFang Chang (Carnegie Mellon University); Simon Lucey (CMU); Deva Ramanan (Carnegie Mellon University); Patsorn Sangkloy (Georgia Institute of Technology); De Wang (Argo AI); Pete Carr (Argo AI)",Datasets and Evaluation,3D from Multiview and Sensors; Robotics + Driving,Oral,3.1.2,3,,,,,,
215 | 5176,Side Window Filtering,Hui Yin (Shenzhen University); Yuanhao Gong (Shenzhen University); Guoping Qiu (Shenzhen University)*,Computer Vision Theory,Low-level Vision; Others,Oral,3.1.2,4,,,,,,
216 | 2319,Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search,Abhimanyu Dubey (Massachusetts Institute of Technology)*; Laurens van der Maaten (Facebook); Zeki Yalniz (Facebook); Yixuan Li (Facebook Research); Dhruv Mahajan (Facebook),"Big Data, Large Scale Methods",Datasets and Evaluation; Deep Learning ; Representation Learning; Visual Reasoning,Oral,3.1.2,4,,,,,,
217 | 1519,Incremental Object Learning from Contiguous Views,Stefan Stojanov (Georgia Institute of Technology)*; Samarth Mishra (Georgia Institute of Technology); Ngoc Anh Thai (Georgia Institute of Technology); Nikhil Dhanda (Georgia Institute of Technology); Ahmad Humayun (Georgia Institute of Technology); Linda Smith (Indiana University); Chen Yu (Indiana University); James Rehg (Georgia Institute of Technology),Datasets and Evaluation,"Deep Learning ; Image and Video Synthesis; Recognition: Detection, Categorization, Retrieval",Oral,3.1.2,4,,,,,,
218 | 3627,IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition,Xiaoping Wu (Nankai University); Chi Zhan (Nankai University); Yukun Lai (Cardiff University); Ming-Ming Cheng (Nankai University); Jufeng Yang (Nankai University )*,Datasets and Evaluation,Vision Applications and Systems,Oral,3.1.2,5,,,,,,
219 | 6334,CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification,ZHENG TANG (University of Washington)*; Milind Naphade (NVidia); Ming-Yu Liu (NVIDIA); Xiaodong Yang (NVIDIA Research); Stan Birchfield (NVIDIA); Shuo Wang (NVidia); Ratnesh Kumar (NVIDIA); David Anastasiu (SJSU); Jenq-Neng Hwang (University of WA�),Datasets and Evaluation,"Big Data, Large Scale Methods ; Motion and Tracking",Oral,3.1.2,5,,,,,,
220 | 6439,Social-IQ: A Question Answering Benchmark for Open-ended Social Intelligence,Amir Zadeh (CMU LTI)*; Michael K Chan (CMU); Paul Pu Liang (Carnegie Mellon University); Edmund Tong (CMU); Louis-Philippe Morency (Carnegie Mellon University),Datasets and Evaluation,Vision + Language ; Visual Reasoning,Oral,3.1.2,5,,,,,,
221 | 3471,UPSNet: A Unified Panoptic Segmentation Network,Yuwen Xiong (Uber ATG; University of Toronto)*; Renjie Liao (University of Toronto); Hengshuang Zhao (The Chinese University of Hong Kong); Rui Hu (Uber); Min Bai (University of Toronto); Ersin Yumer (Uber ATG); Raquel Urtasun (Uber ATG),Scene Analysis and Understanding,"Deep Learning ; Recognition: Detection, Categorization, Retrieval; Segmentation, Grouping and Shape;",Oral,3.1.3,1,Grouping,,,,,
222 | 5828,Joint Semantic-Instance Segmentation of 3D Point Clouds Using Multi-Set Label Conditional Random Fields,"Quang-Hieu Pham (Singapore University of Technology and Design)*; Binh-Son Hua (The University of Tokyo); Thanh Nguyen (Deakin University, Australia); Gemma Roig (MIT); Sai-Kit Yeung (Hong Kong University of Science and Technology)",Scene Analysis and Understanding,"Deep Learning ; Segmentation, Grouping and Shape",Oral,3.1.3,1,,,,,,
223 | 1303,Proposal-free instance segmentation with a clustering loss function,Davy Neven (KULeuven)*; Bert De Brabandere (KU Leuven); Marc Proesmans (KU Leuven); Luc Van Gool (ETH Zurich),"Segmentation, Grouping and Shape","Recognition: Detection, Categorization, Retrieval",Oral,3.1.3,1,,,,,,
224 | 153,Deep Instance Co-segmentation by Co-peak Search and Co-saliency Detection,Kuang-Jui Hsu (Academia Sinica)*; Yen-Yu Lin (Academia Sinica); Yung-Yu Chuang (National Taiwan University),"Segmentation, Grouping and Shape",Datasets and Evaluation; Deep Learning ; Low-level Vision,Oral,3.1.3,2,,,,,,
225 | 4250,Improving Semantic Segmentation via Video Propagation and Label Relaxation,Yi Zhu (UC Merced); Karan Sapra (NVIDIA)*; Fitsum Reda (NVIDIA); Kevin Shih (NVIDIA); Shawn Newsam (UC Merced); Andrew Tao (NVIDIA); Bryan Catanzaro (NVIDIA),"Segmentation, Grouping and Shape",Deep Learning ; Image and Video Synthesis,Oral,3.1.3,2,,,,,,
226 | 3121,Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video,Samvit Jain (UC Berkeley)*; Xin Wang (UC Berkeley); Joey Gonzalez (Berkeley),"Segmentation, Grouping and Shape",Scene Analysis and Understanding,Oral,3.1.3,2,,,,,,
227 | 4311,Shape2Motion: Joint Analysis of Motion Parts and Attributes from 3D Shapes,"Xiaogang Wang (State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering,Beihang University); Kai Xu (National University of Defense Technology)*; Yahao Shi (State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering,Beihang University); Bin Zhou (State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering,Beihang University); Xiaowu Chen (); Qinping Zhao (State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering,Beihang University)","Segmentation, Grouping and Shape",Scene Analysis and Understanding; Vision + Graphics,Oral,3.1.3,3,,,,,,
228 | 256,Semantic Correlation Promoted Shape-Variant Context for Segmentation,Henghui Ding (Nanyang Technological University)*; Xudong Jiang (Nanyang Technological University); Bing Shuai (Amazon); Ai Qun Liu (Nanyang Technological University); Gang Wang (Alibaba Group),"Segmentation, Grouping and Shape",Deep Learning ; Scene Analysis and Understanding,Oral,3.1.3,3,,,,,,
229 | 2493,Relation-Shape Convolutional Neural Network for Point Cloud Analysis,"Yongcheng Liu (Institute of Automation, Chinese Academy of Sciences)*; Bin Fan (Institute of Automation, Chinese Academy of Sciences, China); SHIMING XIANG (Chinese Academy of Sciences, China); Chunhong Pan (Institute of Automation, Chinese Academy of Sciences)","Segmentation, Grouping and Shape",Deep Learning ; Representation Learning,Oral,3.1.3,3,,,,,,
230 | 1233,Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network,Wenda Zhao (Dalian University of Technology)*; Bowen Zheng (Dalian University of Technology); Qiuhua Lin (Dalian University of Technology); Huchuan Lu (Dalian University of Technology),"Segmentation, Grouping and Shape",Deep Learning,Oral,3.1.3,4,,,,,,
231 | 2793,BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames,Brent Griffin (University of Michigan)*; Jason J Corso (University of Michigan),"Segmentation, Grouping and Shape",Datasets and Evaluation; Deep Learning ; Motion and Tracking,Oral,3.1.3,4,,,,,,
232 | 3074,Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-high Resolution Images,Wuyang Chen (Texas A&M University)*; Ziyu Jiang (Texas A&M University); Zhangyang Wang (TAMU); Kexin Cui (Texas A&M University); Xiaoning Qian (Texas A&M University),"Segmentation, Grouping and Shape",Deep Learning,Oral,3.1.3,4,,,,,,
233 | 3203,Efficient Parameter-free Clustering Using First Neighbor Relations,Saquib Sarfraz (Karlsruhe Institute of Technology)*; Vivek Sharma (Karlsruhe Institute of Technology); Rainer Stiefelhagen (Karlsruhe Institute of Technology),"Segmentation, Grouping and Shape","Big Data, Large Scale Methods ; Others; Representation Learning; Vision Applications and Systems",Oral,3.1.3,5,,,,,,
234 | 3859,Learning Personalized Modular Network Guided by Structured Knowledge,Xiaodan Liang (Sun Yat-sen University)*,"Segmentation, Grouping and Shape",Deep Learning,Oral,3.1.3,5,,,,,,
235 | 5616,A Generative Appearance Model for End-to-end Video Object Segmentation,Joakim Johnander (Linköping University)*; Martin Danelljan (ETH Zurich); Emil Brissman (Linköping University); Fahad Shahbaz Khan (Inception Institute of Artificial Intelligence); Michael Felsberg (Linköping University),"Segmentation, Grouping and Shape",Motion and Tracking,Oral,3.1.3,5,,,,,,
236 | 3041,Practical Full Resolution Learned Lossless Image Compression,Fabian Mentzer (ETH Zurich)*; Eirikur Agustsson (ETH Zurich); Michael Tschannen (ETH Zurich); Radu Timofte (ETH Zurich); Luc Van Gool (ETH Zurich),Deep Learning,Representation Learning,Oral,3.2.1,1,Deep Learning,,,,,
237 | 6930,Image-to-Image Translation via Group-wise Deep Whitening and Coloring,Wonwoong Cho (Korea University); Sungha Choi (Korea University); David Park (Korea University); Inkyu Shin (Hanyang University); Jaegul Choo (Korea University)*,Deep Learning,Computer Vision Theory; Image and Video Synthesis; Vision Applications and Systems,Oral,3.2.1,1,,,,,,
238 | 6265,Max-Sliced Wasserstein Distance and its use for GANs,"Ishan Deshpande (-); Yuan-Ting Hu (University of Illinois at Urbana-Champaign); Ruoyu Sun (University of Illinois at Urbana-Champaign); Ayis Pyrros (Dupagemd); Nasir Siddiqui (Dupagemd); Sanmi Koyejo (University of Illinois, Urbana-Champaign); Zhizhen Zhao (University of Illinois at Urbana-Champaign); David Forsyth (Univeristy of Illinois at Urbana-Champaign); Alexander Schwing (UIUC)*",Deep Learning,,Oral,3.2.1,1,,,,,,
239 | 3073,Meta-Learning with Differentiable Convex Optimization,"Kwonjoon Lee (UC San Diego)*; Subhransu Maji (University of Massachusetts, Amherst); Avinash Ravichandran (Amazon); Stefano Soatto (AWS Amazon ML)",Deep Learning,Representation Learning,Oral,3.2.1,2,,,,,,
240 | 4645,Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach,"Minyoung Kim (SeoulTech, Rutgers University)*; Pritish Sahu (Rutgers University); Behnam Gholami (Rutgers University); Vladimir Pavlovic (Rutgers University)",Deep Learning,"Recognition: Detection, Categorization, Retrieval; Statistical Learning",Oral,3.2.1,2,,,,,,
241 | 6332,Tangent-Normal Adversarial Regularization for Semi-supervised Learning,Bing Yu (Peking University); Jingfeng Wu (Peking University); Jinwen Ma (Peking University); Zhanxing Zhu (Peking University)*,Deep Learning,Representation Learning,Oral,3.2.1,2,,,,,,
242 | 3306,Auto-Encoding Scene Graphs for Descriptive Image Captioning,XU YANG (Nanyang Technological University)*; Kaihua Tang (Nanyang Technological University); Hanwang Zhang (Nanyang Technological University); Jianfei Cai (Nanyang Technological University),Deep Learning,Vision + Language,Oral,3.2.1,3,,,,,,
243 | 6218,"Fast, Diverse and Accurate Image Captioning Guided By Part-of-Speech","Aditya Deshpande (University of Illinois at UC)*; Jyoti Aneja (University of Illinois, Urbana-Champaign); Liwei Wang (Tencent AI Lab); Alexander Schwing (UIUC); David Forsyth (Univeristy of Illinois at Urbana-Champaign)",Deep Learning,"Big Data, Large Scale Methods",Oral,3.2.1,3,,,,,,
244 | 6105,Attention Branch Network: Learning of Attention Mechanism for Visual Explanation,Hiroshi Fukui (Chubu university)*; Tsubasa Hirakawa (Chubu University); Takayoshi Yamashita (Chubu University); Hironobu Fujiyoshi (Chubu University),Deep Learning,"Big Data, Large Scale Methods ; Computer Vision Theory; Face, Gesture, and Body Pose ; Recognition:",Oral,3.2.1,3,,,,,,
245 | 3796,Cascaded Projection: End-to-End Network Compression and Acceleration,Breton L Minnehan (Rochester Institute of Technology)*; Andreas Savakis (Rochester Institute of Technology),Deep Learning,"Optimization Methods; Recognition: Detection, Categorization, Retrieval",Oral,3.2.1,4,,,,,,
246 | 5721,DeepCaps : Going Deeper with Capsule Networks,Jathushan Rajasegaran ( University of Moratuwa)*; Vinoj Jayasundara (University of Moratuwa); Sandaru Jayasekara (University of Moratuwa); Hirunima Jayasekara (University of Moratuwa); Ranga Rodrigo (University of Moratuwa); Suranga Seneviratne (University of Sydney),Deep Learning,"Recognition: Detection, Categorization, Retrieval",Oral,3.2.1,4,,,,,,
247 | 6240,DNASNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search,"Bichen Wu (UC Berkeley)*; Xiaoliang Dai (Princeton University); Peizhao Zhang (Facebook); Yanghan Wang (Facebook); Fei Sun (Facebook); Yiming Wu (Facebook); Yuandong Tian (Facebook); Peter Vajda (Facebook); Yangqing Jia (Facebook); Kurt Keutzer (EECS, UC Berkeley)",Deep Learning,,Oral,3.2.1,4,,,,,,
248 | 5032,APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs,Ran Yi (Tsinghua University); Yong-Jin Liu (Tsinghua University)*; Yukun Lai (Cardiff University); Paul Rosin (Cardiff University),Deep Learning,Others,Oral,3.2.1,5,,,,,,
249 | 6431,Constrained Generative Adversarial Networks for Interactive Image Generation,Eric Heim (AFRL/RI)*,Deep Learning,Image and Video Synthesis; Representation Learning,Oral,3.2.1,5,,,,,,
250 | 6807,WarpGAN: Automatic Caricature Generation,Yichun Shi (Michigan State University)*; Debayan Deb (Michigan State University); Anil Jain (Michigan State University),Deep Learning,"Computer Vision Theory; Face, Gesture, and Body Pose",Oral,3.2.1,5,,,,,,
251 | 5199,Explainability Methods for Graph Convolutional Neural Networks,"Phillip Pope (HRL Laboratories, LLC); Soheil Kolouri (HRL Laboratories LLC)*; Mohammad Rostami (HRL Laboratories, LLC); Charles Martin (HRL Laboratories, LLC); Heiko Hoffmann (HRL)",Deep Learning,Deep Learning,Oral,3.2.1,6,,,,,,
252 | 5502,A Generative Adversarial Density Estimator,Ehsan M Abbasnejad (Adelaide)*; Qinfeng Shi (University of Adelaide); Anton van den Hengel (University of Adelaide); Lingqiao Liu (University of Adelaide),Deep Learning,Representation Learning; Statistical Learning,Oral,3.2.1,6,,,,,,
253 | 5921,SoDeep: a Sorting Deep net to learn ranking loss surrogates,"Martin Engilberge (Technicolor, Sorbonne universités)*; Louis Chevallier (Technicolor); Patrick Pérez (Valeo.ai); Matthieu Cord (Sorbonne University)",Deep Learning,"Optimization Methods; Recognition: Detection, Categorization, Retrieval; Vision + Language",Oral,3.2.1,6,,,,,,
254 | 4,High-Quality Face Capture Using Anatomical Muscles,Michael H Bao (Stanford University)*; Matthew D Cong (Industrial Light & Magic); Stephane Grabli (Industrial Light & Magic); Ronald Fedkiw (Stanford),"Face, Gesture, and Body Pose",3D from Single Image; Physics-based Vision and Shape-from-X; Vision + Graphics,Oral,3.2.2,1,Face & Body,,,,,
255 | 2408,FML: Face Model Learning from Videos,Ayush Tewari (Max Planck Institute for Informatics)*; Florian Bernard (Max Planck Institute for Informatics); Pablo Garrido (Technicolor); Gaurav Bharaj (Technicolor); Mohamed Elgharib (Max Planck Institute for Informatics); Hans-Peter Seidel (Max Planck Institute for Informatics); Patrick Pérez (Valeo.ai); Michael Zollhoefer (Stanford University); Christian Theobalt (MPI Informatik),"Face, Gesture, and Body Pose",3D from Single Image; Vision + Graphics,Oral,3.2.2,1,,,,,,
256 | 4483,AdaScale: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations,"Xiao Zhang (Chinese University of Hong Kong); Rui Zhao (SenseTime Group Limited); Yu Qiao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences)*; Xiaogang Wang (Chinese University of Hong Kong, Hong Kong); Hongsheng Li (Chinese University of Hong Kong)","Face, Gesture, and Body Pose","Biometrics ; Deep Learning ; Recognition: Detection, Categorization, Retrieval; Representation Learn",Oral,3.2.2,1,,,,,,
257 | 387,3D Hand Shape and Pose Estimation from a Single RGB Image,"Liuhao Ge (Nanyang Technological University)*; Zhou Ren (Snap Inc.); Yuncheng Li (Snap); Zehao Xue (Snap Inc.); Yingying Wang (Snap Inc.); Jianfei Cai (Nanyang Technological University); Junsong Yuan (""State University of New York at Buffalo, USA"")","Face, Gesture, and Body Pose",3D from Single Image,Oral,3.2.2,2,,,,,,
258 | 647,3D hand shape and pose from images in the wild,Adnane Boukhayma (University of Oxford)*; Rodrigo de Bem (University of Oxford); Philip Torr (University of Oxford),"Face, Gesture, and Body Pose",3D from Single Image,Oral,3.2.2,2,,,,,,
259 | 843,Self supervised 3D hand pose estimation,Chengde Wan (ETHZ)*; Thomas Probst (ETH Zurich); Luc Van Gool (ETH Zurich); Angela Yao (National University of Singapore),"Face, Gesture, and Body Pose",RGBD sensors and analytics,Oral,3.2.2,2,,,,,,
260 | 1497,CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark,Jiefeng Li (Shanghai Jiao Tong University); Can Wang (SJTU); Hao Zhu (Shanghai Jiao Tong University); Yihuan Mao (Tsinghua Univerisity); Hao-Shu Fang (SJTU); Cewu Lu (Shanghai Jiao Tong University)*,"Face, Gesture, and Body Pose","Deep Learning ; Recognition: Detection, Categorization, Retrieval",Oral,3.2.2,3,,,,,,
261 | 3233,Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in A Triadic Interaction,"Hanbyul Joo (CMU)*; Tomas Simon (CMU); Mina Cikara (Department of Psychology, Harvard); Yaser Sheikh (CMU)","Face, Gesture, and Body Pose",Datasets and Evaluation,Oral,3.2.2,3,,,,,,
262 | 6947,"Synergistic, Part-Based 3D Human Reconstruction In-The-Wild",Alp Guler (Imperial College London)*; Iasonas Kokkinos (UCL),"Face, Gesture, and Body Pose",3D from Single Image; Deep Learning,Oral,3.2.2,3,,,,,,
263 | 2239,Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation,Xipeng Chen (Sun Yat-sen University); Kwan-Yee Lin (Peking university); Wentao Liu (Sensetime); Chen Qian (SenseTime); Liang Lin (Sun Yat-sen University)*,"Face, Gesture, and Body Pose",Deep Learning,Oral,3.2.2,4,,,,,,
264 | 3999,In the Wild Human Pose Estimation using Explicit 2D Features and Intermediate 3D Representations,"Ikhsanul Habibie (Max Planck Institute for Informatics)*; Weipeng Xu (MPII); Dushyant Mehta (MPI Informatics); Gerard Pons-Moll (MPII, Germany); Christian Theobalt (MPI Informatik)","Face, Gesture, and Body Pose",3D from Single Image; Motion and Tracking,Oral,3.2.2,4,,,,,,
265 | 33,DensePose-Slim: Cheaper Learning from Motion Cues,Natalia Neverova (Facebook AI Research)*; James Thewlis (University of Oxford); Alp Guler (Imperial College London); Iasonas Kokkinos (UCL); Andrea Vedaldi (Oxford University),"Face, Gesture, and Body Pose",Datasets and Evaluation; Deep Learning ; Motion and Tracking,Oral,3.2.2,4,,,,,,
266 | 2859,Twin-Cycle Autoencoder: Self-supervised Representation Learning from Entangled Movement for Facial Action Unit Detection,"Yong Li (Institute of Computing Technology, Chinese Academy of Sciences); Jiabei Zeng (Institute of Computing Technology, Chinese Academy on Sciences)*; Shiguang Shan (Chinese Academy of Sciences); Xilin Chen (China)","Face, Gesture, and Body Pose",Deep Learning ; Representation Learning,Oral,3.2.2,5,,,,,,
267 | 4558,Combining 3D Morphable Models: A Largescale Face-and-Head Model,"Stylianos Ploumpis (Imperial College London)*; Haoyang Wang (Imperial College London); Nick E. Pears (University of York, UK); William Smith (University of York); Stefanos Zafeiriou (Imperial College Londong)","Face, Gesture, and Body Pose",3D from Single Image; Vision + Graphics,Oral,3.2.2,5,,,,,,
268 | 4364,Boosting Local Shape Matching for Dense 3D Face Correspondence,Zhenfeng Fan (The Chinese academy of science)*; hu xiyuan (The Chinese academy of science); Chen Chen (The Chinese academy of science); peng silong (The Chinese academy of science),"Face, Gesture, and Body Pose",3D from Multiview and Sensors; 3D from Single Image; Physics-based Vision and Shape-from-X; RGBD sen,Oral,3.2.2,5,,,,,,
269 | 2886,Unsupervised Part-Based Disentangling of Object Shape and Appearance,Dominik Lorenz (Heidelberg University); Leonard Bereska (Heidelberg University); Timo Milbich (Heidelberg University)*; Bjorn Ommer (Heidelberg University),"Face, Gesture, and Body Pose",Image and Video Synthesis,Oral,3.2.2,6,,,,,,
270 | 2922,"Monocular Total Capture: Posing Face, Body, and Hands in the Wild",Donglai Xiang (Carnegie Mellon University)*; Hanbyul Joo (CMU); Yaser Sheikh (CMU),"Face, Gesture, and Body Pose",3D from Single Image; Vision + Graphics,Oral,3.2.2,6,,,,,,
271 | 3128,"Expressive Body Capture: 3D Hands, Face, and Body from a Single Image",Georgios Pavlakos (University of Pennsylvania)*; Michael J. Black (Max Planck Institute for Intelligent Systems); Timo Bolkart (Max Planck Institute for Intelligent Systems); Vasileios Choutas (Max Planck Institute for Intelligent Systems); Nima Ghorbani (Max Planck Institute Tübingen); Ahmed A A Osman (Max Planck Institute for Intelligent Systems); Dimitrios Tzionas (Max Planck Institute for Intelligent Systems),"Face, Gesture, and Body Pose",3D from Single Image,Oral,3.2.2,6,,,,,,
272 | 707,Neural RGB -> D Sensing: Depth and Uncertainty from a Video Camera,Chao Liu (Carnegie Mellon University); Jinwei Gu (NVIDIA)*; Kihwan Kim (NVIDIA); Srinivasa G Narasimhan (Carnegie Mellon University); Jan Kautz (NVIDIA),Low-level Vision,3D from Multiview and Sensors; 3D from Single Image; Computational Photography,Oral,3.2.3,1,Low-level & Optimization,,,,,
273 | 1006,DAVANet: Stereo Deblurring with View Aggregation,"Shangchen Zhou (Sensetime Research)*; Jiawei Zhang (Sensetime Research); Jimmy Ren (SenseTime Research); Wangmeng Zuo (Harbin Institute of Technology, China); Haozhe Xie (Harbin Institute of Technology); Jinshan Pan (Nanjing University of Science and Technology)",Low-level Vision,Deep Learning ; RGBD sensors and analytics,Oral,3.2.3,1,,,,,,
274 | 3657,DVC: An End-to-end Deep Video Compression Framework,Guo Lu (Shanghai Jiao Tong University)*; Wanli Ouyang (The University of Sydney); Dong Xu (University of Sydney); Chunlei Cai (Shanghai Jiao Tong University); Xiaoyun Zhang (Shanghai Jiao Tong University); Zhiyong Gao (Shanghai Jiao Tong University),Low-level Vision,Vision Applications and Systems,Oral,3.2.3,1,,,,,,
275 | 1098,SOSNet: Second Order Similarity Regularization for Local Descriptor Learning,"yurun tian (National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences); Xin Yu (Australian National University); Bin Fan (Institute of Automation, Chinese Academy of Sciences, China)*; Fuchao Wu (National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences); Huub Heijnen (Scape Technologies); Vassileios Balntas (Scape Technologies)",Low-level Vision,"Recognition: Detection, Categorization, Retrieval",Oral,3.2.3,2,,,,,,
276 | 2154,“Double-DIP”: Unsupervised Image Decomposition via Coupled Deep-Image-Priors,"Yosef Gandelsman (Weizmann Institute of Science)*; Assaf Shocher (Weizmann Institute of Science); Michal Irani (Weizmann Institute, Israel)",Low-level Vision,Computational Photography; Deep Learning,Oral,3.2.3,2,,,,,,
277 | 2579,Unprocessing Images for Learned Raw Denoising,Tim Brooks (Google)*; Ben Mildenhall (UC Berkeley); Tianfan Xue (MIT); Jiawen Chen (Google); Dillon Sharlet (Google); Jonathan T Barron (Google Research),Low-level Vision,Computational Photography; Deep Learning,Oral,3.2.3,2,,,,,,
278 | 3342,Residual Networks for Light Field Image Super-Resolution,Shuo Zhang (Beijing Jiaotong University)*; Youfang Lin (Beijing Jiaotong University); Hao Sheng (Beihang University),Low-level Vision,3D from Multiview and Sensors; Computational Photography; Deep Learning,Oral,3.2.3,3,,,,,,
279 | 3959,Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers,"Jingwen He (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Chao Dong (SIAT)*; Yu Qiao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences)",Low-level Vision,Deep Learning,Oral,3.2.3,3,,,,,,
280 | 5318,Second-order Attention Network for Single Image Super-resolution,"Tao Dai (Tsinghua University)*; Jianrui Cai (The Hong Kong Polytechnic University, Hong Kong, China); yongbing zhang (Tsinghua University); Shutao Xia (Tsinghua University); Lei Zhang (""Hong Kong Polytechnic University, Hong Kong, China"")",Low-level Vision,Deep Learning,Oral,3.2.3,3,,,,,,
281 | 2599,Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations,David Acuna (University of Toronto)*; Amlan Kar (University of Toronto); Sanja Fidler (University of Toronto),"Segmentation, Grouping and Shape",Low-level Vision,Oral,3.2.3,4,,,,,,
282 | 3097,Path-Invariant Map Networks,"Zaiwei Zhang (University of Texas at Austin); Zhenxiao Liang (The University of Texas at Austin); Lemeng Wu (The University of Texas at Austin); Xiaowei Zhou (Zhejiang Univ., China); Qixing Huang (The University of Texas at Austin)*",Optimization Methods,"Big Data, Large Scale Methods ; Deep Learning",Oral,3.2.3,4,,,,,,
283 | 5608,FilterReg: Robust and Efficient Probabilistic Point-Set Registration using Gaussian Filter and Twist Parameterization,Wei Gao (MIT)*; Russ Tedrake (MIT),Low-level Vision,Motion and Tracking; Optimization Methods; RGBD sensors and analytics; Robotics + Driving,Oral,3.2.3,4,,,,,,
284 | 108,Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope,Tolga Birdal (TU Munich)*; Umut Simsekli (Telecom ParisTech),Optimization Methods,Computer Vision Theory; Low-level Vision; Statistical Learning,Oral,3.2.3,5,,,,,,
285 | 190,Lifting Vectorial Variational Problems: A Natural Formulation based on Geometric Measure Theory and Discrete Exterior Calculus,Thomas Möllenhoff (Technical University of Munich)*; Daniel Cremers (TUM),Optimization Methods,,Oral,3.2.3,5,,,,,,
286 | 1428,A Sufficient Condition for Convergences of Adam and RMSProp,Fangyu Zou (stonybrook); Li Shen (Tencent AI Lab)*; Zequn Jie (Tencent AI Lab); Weizhong Zhang (Tencent AI Lab); Wei Liu (Tencent),Optimization Methods,"Big Data, Large Scale Methods",Oral,3.2.3,5,,,,,,
287 | 5959,Guaranteed Matrix Completion under Multiple Linear Transformations,Chao Li (RIKEN)*; Wei He (RIKEN AIP); Longhao Yuan (Saitama Institute of Technology/RIKEN AIP); Zhun Sun (RIKEN Center for AIP); Qibin Zhao (RIKEN),Low-level Vision,Computational Photography; Statistical Learning,Oral,3.2.3,6,,,,,,
288 | 4802,MAP inference via Block-Coordinate Frank-Wolfe Algorithm,"Paul Swoboda (MPI fuer Informatik, Saarbruecken)*; Vladimir Kolmogorov (Institute of Science and Technology, Austria)",Optimization Methods,,Oral,3.2.3,6,,,,,,
289 | 5321,A convex relaxation for multi-graph matching,"Paul Swoboda (MPI fuer Informatik, Saarbruecken)*; Ashkan Mokarian (BIH/MDC); Dagmar Kainmueller (BIH/MDC); Christian Theobalt (MPI Informatik); Florian Bernard (Max Planck Institute for Informatics)",Optimization Methods,"Segmentation, Grouping and Shape",Oral,3.2.3,6,,,,,,


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/README.md:
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 1 | # CVPR-Paper-Statistics
 2 | Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference [(CVPR 2019)](http://cvpr2019.thecvf.com/)
 3 | 
 4 | Inspired by [`ICLR2019-OpenReviewData`](https://github.com/shaohua0116/ICLR2019-OpenReviewData)
 5 | 
 6 | <p align="center">
 7 |   <img width="600" src="/2019_cvpr/keyword_cloud_title.PNG">
 8 | </p>
 9 | 
10 | # CVPR 2019 Acceptance rate (2015~2019)
11 | 
12 | - The total number of papers is increasing every year and this year has increased significantly!
13 | - The acceptance rate decreased from 30% to 25%.
14 | 
15 | <p align="center">
16 |   <img width="500" src="/2019_cvpr/cvpr_acceptance_rate.PNG">
17 | </p>
18 | 
19 | # CVPR 2019 simple paper review(20 papers)
20 | - [Slide](https://www.slideshare.net/HoseongLee6/2019-cvpr-paperoverview)
21 | 
22 | 
23 | 
24 | # CVPR Paper Keywords statistics
25 | - [Accepted Paper list](https://github.com/hoya012/CVPR-Paper-Statistics/blob/master/2019_cvpr/cvpr_2019_poster.csv)
26 | 
27 | - Most of the top keywords were maintained
28 |    - Image, detection, 3d, object, video, segmentation, adversarial, recognition, visual …
29 | - `graph`, `cloud`, `representation` are about twice as frequent
30 |    - graph : 15 -> 45
31 |    - representation: 25 -> 48
32 |    - cloud: 16 -> 35
33 | 
34 | <p align="center">
35 |   <img width="1000" src="/2019_cvpr/top_keywords_2019+2018.png">
36 | </p>
37 | 
38 | # Analysis and Visualization Code (Jupyter Notebook)
39 | 
40 | - The above data can be obtained from a simple jupyter notebook script.
41 | - I wrote two versions of the code.
42 |    - [`CVPR_paper_statistics_using_csv.ipynb`](https://github.com/hoya012/CVPR-Paper-Statistics/blob/master/CVPR_paper_statistics_using_csv.ipynb) --> Use csv data format
43 |    - [`CVPR_paper_statistics_using_chrome.ipynb`](https://github.com/hoya012/CVPR-Paper-Statistics/blob/master/CVPR_paper_statistics_using_chrome.ipynb) --> Use website data format
44 | 
45 | ## Prerequisites
46 | - python3.5
47 | - [selenium](https://selenium-python.readthedocs.io/)
48 | - [wordcloud](https://pypi.org/project/wordcloud/)
49 | - [matplotlib](https://matplotlib.org/)
50 | 
51 | or 
52 | 
53 | **i highly recommend to use** [google colab](https://colab.research.google.com/)
54 | 
55 | Just **download jupyter notebook** and **move to your google drive** and **Open with Colaboratory**
56 | 
57 | 
58 | 


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