| Learning deep features for discriminative localization B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 6272 | 2016 |
| Learning Deep Features for Scene Recognition using Places Database B Zhou, A Lapedriza, J Xiao, A Torralba, A Oliva NIPS, 2014 | 3174 | 2014 |
| Places: A 10 million image database for scene recognition B Zhou, A Lapedriza, A Khosla, A Oliva, A Torralba IEEE transactions on pattern analysis and machine intelligence 40 (6), 1452-1464, 2017 | 2409 | 2017 |
| Scene parsing through ade20k dataset B Zhou, H Zhao, X Puig, S Fidler, A Barriuso, A Torralba Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1484 | 2017 |
| Object detectors emerge in deep scene cnns B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba International Conference on Learning Representations (ICLR) 2015, 2014 | 1183 | 2014 |
| Network dissection: Quantifying interpretability of deep visual representations D Bau, B Zhou, A Khosla, A Oliva, A Torralba Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017 | 1043 | 2017 |
| Semantic understanding of scenes through the ADE20K dataset B Zhou, H Zhao, X Puig, T Xiao, S Fidler, A Barriuso, A Torralba International Journal on Computer Vision, 2018 | 762 | 2018 |
| Temporal relational reasoning in videos B Zhou, A Andonian, A Oliva, A Torralba European Conference on Computer Vision, 2018 | 722 | 2018 |
| Unified perceptual parsing for scene understanding T Xiao, Y Liu, B Zhou, Y Jiang, J Sun European Conference on Computer Vision, 2018 | 469 | 2018 |
| Interpreting the latent space of gans for semantic face editing Y Shen, J Gu, X Tang, B Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 443 | 2020 |
| Scene graph generation from objects, phrases and region captions Y Li, W Ouyang, B Zhou, K Wang, X Wang Proceedings of the IEEE international conference on computer vision, 1261-1270, 2017 | 385 | 2017 |
| Understanding collective crowd behaviors: Learning a mixture model of dynamic pedestrian-agents B Zhou, X Wang, X Tang 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2871-2878, 2012 | 366 | 2012 |
| 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 | 349 | 2019 |
| Places: An image database for deep scene understanding B Zhou, A Khosla, A Lapedriza, A Torralba, A Oliva arXiv preprint arXiv:1610.02055, 2016 | 349 | 2016 |
| Simple baseline for visual question answering B Zhou, Y Tian, S Sukhbaatar, A Szlam, R Fergus arXiv preprint arXiv:1512.02167, 2015 | 335 | 2015 |
| Gan dissection: Visualizing and understanding generative adversarial networks D Bau, JY Zhu, H Strobelt, B Zhou, JB Tenenbaum, WT Freeman, ... arXiv preprint arXiv:1811.10597, 2018 | 331 | 2018 |
| Measuring Crowd Collectiveness B Zhou, X Tang, H Zhang, X Wang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014 | 254 | 2014 |
| Lapedriza B Zhou, A Khosla A., A. Oliva, and A. Torralba. Learning Deep Features for Discriminative …, 2016 | 235 | 2016 |
| In-domain gan inversion for real image editing J Zhu, Y Shen, D Zhao, B Zhou European Conference on Computer Vision (ECCV), 2020 | 230 | 2020 |
| Person search with natural language description S Li, T Xiao, H Li, B Zhou, D Yue, X Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 222 | 2017 |
Antonio TorralbaProfessor of Computer Science, MIT在 csail.mit.edu 的电子邮件经过验证
