| Microsoft coco: Common objects in context TY Lin, M Maire, S Belongie, J Hays, P Perona, D Ramanan, P Dollár, ... Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 52706 | 2014 |
| Vqa: Visual question answering S Antol, A Agrawal, J Lu, M Mitchell, D Batra, CL Zitnick, D Parikh Proceedings of the IEEE international conference on computer vision, 2425-2433, 2015 | 6514 | 2015 |
| Cider: Consensus-based image description evaluation R Vedantam, C Lawrence Zitnick, D Parikh Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 5264 | 2015 |
| Edge boxes: Locating object proposals from edges CL Zitnick, P Dollár Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 3536 | 2014 |
| Microsoft coco captions: Data collection and evaluation server X Chen, H Fang, TY Lin, R Vedantam, S Gupta, P Dollár, CL Zitnick arXiv preprint arXiv:1504.00325, 2015 | 2748 | 2015 |
| Clevr: A diagnostic dataset for compositional language and elementary visual reasoning J Johnson, B Hariharan, L Van Der Maaten, L Fei-Fei, C Lawrence Zitnick, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 2586 | 2017 |
| Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences A Rives, J Meier, T Sercu, S Goyal, Z Lin, J Liu, D Guo, M Ott, CL Zitnick, ... Proceedings of the National Academy of Sciences 118 (15), e2016239118, 2021 | 2121 | 2021 |
| High-quality video view interpolation using a layered representation CL Zitnick, SB Kang, M Uyttendaele, S Winder, R Szeliski ACM transactions on graphics (TOG) 23 (3), 600-608, 2004 | 1976 | 2004 |
| From captions to visual concepts and back H Fang, S Gupta, F Iandola, RK Srivastava, L Deng, P Dollár, J Gao, X He, ... Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 1681 | 2015 |
| Fleet D Pajdla T Schiele B Tuytelaars T et al TY Lin, M Maire, S Belongie, J Hays, P Perona, D Ramanan, P Dollár, ... Microsoft COCO: common objects in context Computer Vision–ECCV 2014, 2014 | 1664 | 2014 |
| Inside-outside net: Detecting objects in context with skip pooling and recurrent neural networks S Bell, CL Zitnick, K Bala, R Girshick Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1644 | 2016 |
| Structured forests for fast edge detection P Dollár, CL Zitnick Proceedings of the IEEE international conference on computer vision, 1841-1848, 2013 | 1206 | 2013 |
| Fast edge detection using structured forests P Dollár, CL Zitnick IEEE transactions on pattern analysis and machine intelligence 37 (8), 1558-1570, 2014 | 1157 | 2014 |
| Microsoft coco: Common objects in context [C] TY Lin, M Maire, S Belongie, J Hays, P Perona, D Ramanan, P Dollár, ... European conference on computer vision, 740-755, 2014 | 1109 | 2014 |
| Shuffle and learn: unsupervised learning using temporal order verification I Misra, CL Zitnick, M Hebert Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 1052 | 2016 |
| fastMRI: An open dataset and benchmarks for accelerated MRI J Zbontar, F Knoll, A Sriram, T Murrell, Z Huang, MJ Muckley, A Defazio, ... arXiv preprint arXiv:1811.08839, 2018 | 926 | 2018 |
| A cooperative algorithm for stereo matching and occlusion detection CL Zitnick, T Kanade IEEE Transactions on pattern analysis and machine intelligence 22 (7), 675-684, 2000 | 808 | 2000 |
| Automatic estimation and removal of noise from a single image C Liu, R Szeliski, SB Kang, CL Zitnick, WT Freeman IEEE transactions on pattern analysis and machine intelligence 30 (2), 299-314, 2007 | 673 | 2007 |
| Mind's eye: A recurrent visual representation for image caption generation X Chen, C Lawrence Zitnick Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 670 | 2015 |
| Inferring and executing programs for visual reasoning J Johnson, B Hariharan, L Van Der Maaten, J Hoffman, L Fei-Fei, ... Proceedings of the IEEE international conference on computer vision, 2989-2998, 2017 | 650 | 2017 |
Devi ParikhPreviously: FAIR and GenAI @ Meta. Georgia Tech在 gatech.edu 的电子邮件经过验证
