| Joint detection and identification feature learning for person search T Xiao*, S Li*, B Wang, L Lin, X Wang Computer Vision and Pattern Recognition (CVPR), 2017, 2017 | 1042 | 2017 |
| Learning Feature Pyramids for Human Pose Estimation W Yang, S Li, W Ouyang, H Li, X Wang International Conference on Computer Vision (ICCV), 2017, 2017 | 618 | 2017 |
| Person search with natural language description S Li, T Xiao, H Li, B Zhou, D Yue, X Wang Computer Vision and Pattern Recognition (CVPR), 2017, 2017 | 469 | 2017 |
| Compositional Visual Generation with Composable Diffusion Models N Liu*, S Li*, Y Du*, A Torralba, JB Tenenbaum Proceedings of the European Conference on Computer Vision (ECCV), 2022, 2022 | 430* | 2022 |
| Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification S Li, S Bak, P Carr, X Wang Computer Vision and Pattern Recognition (CVPR), 2018, 2018 | 425 | 2018 |
| Improving factuality and reasoning in language models through multiagent debate Y Du, S Li, A Torralba, JB Tenenbaum, I Mordatch arXiv preprint arXiv:2305.14325, 2023 | 392 | 2023 |
| Identity-Aware Textual-Visual Matching with Latent Co-attention S Li, T Xiao, H Li, W Yang, X Wang International Conference on Computer Vision (ICCV), 2017, 2017 | 294 | 2017 |
| End-to-end deep learning for person search T Xiao*, S Li*, B Wang, L Lin, X Wang arXiv preprint arXiv:1604.01850 2 (2), 2016 | 254 | 2016 |
| Pre-Trained Language Models for Interactive Decision-Making L Shuang, P Xavier, P Chris, D Yilun, W Clinton, F Linxi, C Tao, H De-An, ... NeurIPS 2022, 2022 | 247* | 2022 |
| Conceptfusion: Open-set multimodal 3d mapping KM Jatavallabhula, A Kuwajerwala, Q Gu, M Omama, T Chen, A Maalouf, ... arXiv preprint arXiv:2302.07241, 2023 | 180 | 2023 |
| ACAR: Adaptive connectivity aware routing for vehicular ad hoc networks in city scenarios Q Yang, A Lim, S Li, J Fang, P Agrawal Mobile Networks and Applications 15, 36-60, 2010 | 169 | 2010 |
| Compositional visual generation with energy based models Y Du, S Li, I Mordatch Advances in Neural Information Processing Systems 33, 2020 | 162* | 2020 |
| Improved Contrastive Divergence Training of Energy Based Models Y Du, S Li, J Tenenbaum, I Mordatch ICML 2021, 2020 | 142 | 2020 |
| 3D Neural Scene Representations for Visuomotor Control Y Li*, S Li*, V Sitzmann, P Agrawal, A Torralba Conference on Robot Learning, 112-123, 2022 | 140 | 2022 |
| Watch-and-help: A challenge for social perception and human-AI collaboration X Puig, T Shu, S Li, Z Wang, YH Liao, JB Tenenbaum, S Fidler, A Torralba ICLR 2021, 2020 | 127 | 2020 |
| ACAR: Adaptive connectivity aware routing protocol for vehicular ad hoc networks Q Yang, A Lim, S Li, J Fang, P Agrawal 2008 Proceedings of 17th International Conference on Computer Communications …, 2008 | 107 | 2008 |
| Question-Guided Hybrid Convolution for Visual Question Answering P Gao, H Li, S Li, P Lu, Y LI, S Hoi, X Wang Proceedings of the European Conference on Computer Vision (ECCV), 469-485, 2018 | 89 | 2018 |
| Learning to Compose Visual Relations N Liu*, S Li*, Y Du*, J Tenenbaum, A Torralba Advances in Neural Information Processing Systems 34, 2021 | 79* | 2021 |
| Unsupervised learning of compositional energy concepts Y Du, S Li, Y Sharma, J Tenenbaum, I Mordatch Advances in Neural Information Processing Systems 34, 15608-15620, 2021 | 79 | 2021 |
| Energy-Based Models for Continual Learning S Li, Y Du, GM van de Ven, I Mordatch Conference on Lifelong Learning Agents, 2020 | 51* | 2020 |
Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.edu
