| Generating videos with scene dynamics C Vondrick, H Pirsiavash, A Torralba Advances in neural information processing systems 29, 2016 | 1713 | 2016 |
| Videobert: A joint model for video and language representation learning C Sun, A Myers, C Vondrick, K Murphy, C Schmid Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 1336 | 2019 |
| SoundNet: Learning Sound Representations from Unlabeled Video Y Aytar, C Vondrick, A Torralba Advances in Neural Information Processing Systems, 892-900, 2016 | 1246 | 2016 |
| Ava: A video dataset of spatio-temporally localized atomic visual actions C Gu, C Sun, DA Ross, C Vondrick, C Pantofaru, Y Li, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1111 | 2018 |
| A large-scale benchmark dataset for event recognition in surveillance video S Oh, A Hoogs, A Perera, N Cuntoor, CC Chen, JT Lee, S Mukherjee, ... CVPR 2011, 3153-3160, 2011 | 926 | 2011 |
| Efficiently scaling up crowdsourced video annotation: A set of best practices for high quality, economical video labeling C Vondrick, D Patterson, D Ramanan International journal of computer vision 101, 184-204, 2013 | 801* | 2013 |
| Anticipating Visual Representations from Unlabeled Video C Vondrick, H Pirsiavash, A Torralba CVPR, 2016 | 628* | 2016 |
| Moments in time dataset: one million videos for event understanding M Monfort, A Andonian, B Zhou, K Ramakrishnan, SA Bargal, T Yan, ... IEEE transactions on pattern analysis and machine intelligence 42 (2), 502-508, 2019 | 611 | 2019 |
| The sound of pixels H Zhao, C Gan, A Rouditchenko, C Vondrick, J McDermott, A Torralba Proceedings of the European conference on computer vision (ECCV), 570-586, 2018 | 568 | 2018 |
| Do we need more training data? X Zhu, C Vondrick, CC Fowlkes, D Ramanan International Journal of Computer Vision 119 (1), 76-92, 2016 | 505* | 2016 |
| Zero-1-to-3: Zero-shot one image to 3d object R Liu, R Wu, B Van Hoorick, P Tokmakov, S Zakharov, C Vondrick Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 453 | 2023 |
| Tracking emerges by colorizing videos C Vondrick, A Shrivastava, A Fathi, S Guadarrama, K Murphy Proceedings of the European conference on computer vision (ECCV), 391-408, 2018 | 450 | 2018 |
| HOGgles: Visualizing Object Detection Features C Vondrick, A Khosla, T Malisiewicz, A Torralba Computer Vision (ICCV), 2013 IEEE International Conference on, 2013 | 429* | 2013 |
| Learning Aligned Cross-Modal Representations from Weakly Aligned Data L Castrejón, Y Aytar, C Vondrick, H Pirsiavash, A Torralba CVPR, 2016 | 337* | 2016 |
| Where are they looking? A Recasens, A Khosla, C Vondrick, A Torralba Advances in neural information processing systems 28, 2015 | 274 | 2015 |
| Vipergpt: Visual inference via python execution for reasoning D Surís, S Menon, C Vondrick Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 257 | 2023 |
| Actor-centric relation network C Sun, A Shrivastava, C Vondrick, K Murphy, R Sukthankar, C Schmid Proceedings of the European Conference on Computer Vision (ECCV), 318-334, 2018 | 237 | 2018 |
| Assessing the quality of actions H Pirsiavash, C Vondrick, A Torralba Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 229 | 2014 |
| Metric learning for adversarial robustness C Mao, Z Zhong, J Yang, C Vondrick, B Ray Advances in neural information processing systems 32, 2019 | 216 | 2019 |
| Visual classification via description from large language models S Menon, C Vondrick arXiv preprint arXiv:2210.07183, 2022 | 206 | 2022 |
Antonio TorralbaProfessor of Computer Science, MIT在 csail.mit.edu 的电子邮件经过验证
