| End-to-end learning of motion representation for video understanding L Fan, W Huang, C Gan, S Ermon, B Gong, J Huang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 241 | 2018 |
| 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 | 149 | 2022 |
| 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 | 136 | 2019 |
| When does contrastive learning preserve adversarial robustness from pretraining to finetuning? L Fan, S Liu, PY Chen, G Zhang, C Gan Advances in neural information processing systems 34, 21480-21492, 2021 | 98 | 2021 |
| 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 | 94 | 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 | 52 | 2020 |
| Improving clip training with language rewrites L Fan, D Krishnan, P Isola, D Katabi, Y Tian Advances in Neural Information Processing Systems 36, 2024 | 46 | 2024 |
| Stablerep: Synthetic images from text-to-image models make strong visual representation learners Y Tian, L Fan, P Isola, H Chang, D Krishnan Advances in Neural Information Processing Systems 36, 2024 | 43 | 2024 |
| Controllable image-to-video translation: A case study on facial expression generation L Fan, W Huang, C Gan, J Huang, B Gong Proceedings of the AAAI conference on artificial intelligence 33 (01), 3510-3517, 2019 | 42 | 2019 |
| Toward efficient action recognition: Principal backpropagation for training two-stream networks W Huang, L Fan, M Harandi, L Ma, H Liu, W Liu, C Gan IEEE Transactions on Image Processing 28 (4), 1773-1782, 2018 | 41 | 2018 |
| 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 | 32 | 2022 |
| Addressing feature suppression in unsupervised visual representations T Li, L Fan, Y Yuan, H He, Y Tian, R Feris, P Indyk, D Katabi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 20* | 2023 |
| Efficient optimization for linear dynamical systems with applications to clustering and sparse coding W Huang, M Harandi, T Zhang, L Fan, F Sun, J Huang Advances in neural information processing systems 30, 2017 | 12 | 2017 |
| Adversarial localization network L Fan, S Zhao, S Ermon Learning with limited labeled data: weak supervision and beyond, NIPS Workshop 2, 2017 | 12 | 2017 |
| Scaling laws of synthetic images for model training... for now L Fan, K Chen, D Krishnan, D Katabi, P Isola, Y Tian arXiv preprint arXiv:2312.04567, 2023 | 11 | 2023 |
| Learning vision from models rivals learning vision from data Y Tian, L Fan, K Chen, D Katabi, D Krishnan, P Isola arXiv preprint arXiv:2312.17742, 2023 | 9 | 2023 |
| Visual dependency transformers: Dependency tree emerges from reversed attention M Ding, Y Shen, L Fan, Z Chen, Z Chen, P Luo, JB Tenenbaum, C Gan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 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 | 1 | 2023 |
| Human activity analysis using radio signals L Fan Massachusetts Institute of Technology, 2020 | | 2020 |
| Appendix for “Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention” M Ding13, Y Shen, L Fan, Z Chen, Z Chen, P Luo, J Tenenbaum, ... | | |
Dina KatabiThuan and Nicole Pham Professor, MITVerifierad e-postadress på ai.mit.edu
