| Multi-scale dense convolutional networks for efficient prediction G Huang, D Chen, T Li, F Wu, L Van Der Maaten, KQ Weinberger arXiv preprint arXiv:1703.09844 2 (2), 2017 | 838* | 2017 |
| Through-wall human pose estimation using radio signals M Zhao, T Li, M Abu Alsheikh, Y Tian, H Zhao, A Torralba, D Katabi Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 554 | 2018 |
| RF-based 3D skeletons M Zhao, Y Tian, H Zhao, MA Alsheikh, T Li, R Hristov, Z Kabelac, D Katabi, ... Proceedings of the 2018 Conference of the ACM Special Interest Group on Data …, 2018 | 313 | 2018 |
| Few sample knowledge distillation for efficient network compression T Li, J Li, Z Liu, C Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 132* | 2020 |
| Making the invisible visible: Action recognition through walls and occlusions T Li, L Fan, M Zhao, Y Liu, D Katabi Proceedings of the IEEE/CVF International Conference on Computer Vision, 872-881, 2019 | 118 | 2019 |
| Targeted supervised contrastive learning for long-tailed recognition T Li, P Cao, Y Yuan, L Fan, Y Yang, RS Feris, P Indyk, D Katabi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 109 | 2022 |
| Through-wall human mesh recovery using radio signals M Zhao, Y Liu, A Raghu, T Li, H Zhao, A Torralba, D Katabi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 87 | 2019 |
| Learning longterm representations for person re-identification using radio signals L Fan, T Li, R Fang, R Hristov, Y Yuan, D Katabi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 79 | 2020 |
| In-home daily-life captioning using radio signals L Fan, T Li, Y Yuan, D Katabi Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 44 | 2020 |
| Unsupervised learning for human sensing using radio signals T Li, L Fan, Y Yuan, D Katabi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 26 | 2022 |
| Mage: Masked generative encoder to unify representation learning and image synthesis T Li, H Chang, S Mishra, H Zhang, D Katabi, D Krishnan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 23 | 2023 |
| Quadratic upper bound for recursive teaching dimension of finite VC classes L Hu, R Wu, T Li, L Wang Conference on Learning Theory, 1147-1156, 2017 | 22 | 2017 |
| Making contrastive learning robust to shortcuts T Li, L Fan, Y Yuan, H He, Y Tian, R Feris, P Indyk, D Katabi arXiv preprint arXiv:2012.09962 3, 2020 | 19* | 2020 |
| Pose estimation D Katabi, A Torralba, H Zhao, M Zhao, M Abualsheikh, Y Tian US Patent App. 16/225,837, 2019 | 11 | 2019 |
| Exploring efficient strategies for minesweeper J Tu, T Li, S Chen, C Zu, Z Gu Workshops at the Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 4 | 2017 |
| Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency T Li, S Bhardwaj, Y Tian, H Zhang, J Barber, D Katabi, G Lajoie, H Chang, ... arXiv preprint arXiv:2310.03734, 2023 | | 2023 |
| Reparo: Loss-Resilient Generative Codec for Video Conferencing T Li, V Sivaraman, L Fan, M Alizadeh, D Katabi arXiv preprint arXiv:2305.14135, 2023 | | 2023 |
| 文献研读 专栏收录该内容 M Zhao, T Li, MA Alsheikh, Y Tian, H Zhao, A Torralba, D Katabi | | |
Dina KatabiProfessor of EECS, MITVerified email at ai.mit.edu
