| Learning Deep Features for Scene Recognition using Places Database B Zhou, A Lapedriza, J Xiao, A Torralba, A Oliva NIPS, 2014 | 2172 | 2014 |
| 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 | 1796 | 2016 |
| 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 | 715 | 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 | 656 | 2014 |
| 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 | 420 | 2017 |
| 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 | 392 | 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 | 251 | 2012 |
| 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 | 241 | 2018 |
| Places: An image database for deep scene understanding B Zhou, A Khosla, A Lapedriza, A Torralba, A Oliva arXiv preprint arXiv:1610.02055, 2016 | 214 | 2016 |
| Simple baseline for visual question answering B Zhou, Y Tian, S Sukhbaatar, A Szlam, R Fergus arXiv preprint arXiv:1512.02167, 2015 | 187 | 2015 |
| Measuring Crowd Collectiveness B Zhou, X Tang, H Zhang, X Wang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014 | 187 | 2014 |
| Temporal relational reasoning in videos B Zhou, A Andonian, A Oliva, A Torralba European Conference on Computer Vision, 2018 | 171 | 2018 |
| Random field topic model for semantic region analysis in crowded scenes from tracklets B Zhou, X Wang, X Tang Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011 | 153 | 2011 |
| 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 | 122 | 2017 |
| Coherent filtering: Detecting coherent motions from crowd clutters B Zhou, X Tang, X Wang European Conference on Computer Vision, 857-871, 2012 | 118 | 2012 |
| Recognizing city identity via attribute analysis of geo-tagged images B Zhou, L Liu, A Oliva, A Torralba European conference on computer vision, 519-534, 2014 | 100 | 2014 |
| Learning Collective Crowd Behaviors with Dynamic Pedestrian-Agents B Zhou, X Tang, X Wang International Journal of Computer Vision, 2014 | 83 | 2014 |
| 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 | 75 | 2017 |
| Unified perceptual parsing for scene understanding T Xiao, Y Liu, B Zhou, Y Jiang, J Sun European Conference on Computer Vision, 2018 | 64 | 2018 |
| Interpreting Deep Visual Representations via Network Dissection B Zhou, D Bau, A Oliva, A Torralba IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 | 58 | 2018 |
Antonio TorralbaProfessor of Computer Science, MIT在 csail.mit.edu 的电子邮件经过验证
