| 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 | 260 | 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 | 227 | 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 | 166 | 2019 |
| Improving clip training with language rewrites L Fan, D Krishnan, P Isola, D Katabi, Y Tian Advances in Neural Information Processing Systems 36, 2024 | 157 | 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 | 130 | 2024 |
| 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 | 128 | 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 | 115 | 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 | 64 | 2020 |
| Scaling laws of synthetic images for model training... for now L Fan, K Chen, D Krishnan, D Katabi, P Isola, Y Tian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 56 | 2024 |
| Learning vision from models rivals learning vision from data Y Tian, L Fan, K Chen, D Katabi, D Krishnan, P Isola Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 47 | 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 | 47 | 2019 |
| 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 | 46 | 2022 |
| 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 | 43 | 2018 |
| 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 | 28* | 2023 |
| Fluid: Scaling autoregressive text-to-image generative models with continuous tokens L Fan, T Li, S Qin, Y Li, C Sun, M Rubinstein, D Sun, K He, Y Tian arXiv preprint arXiv:2410.13863, 2024 | 19 | 2024 |
| 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 | 14 | 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 |
| Reparo: Loss-Resilient Generative Codec for Video Conferencing T Li, V Sivaraman, P Karimi, L Fan, M Alizadeh, D Katabi arXiv preprint arXiv:2305.14135, 2023 | 5 | 2023 |
| Visual Representation Learning from Synthetic Data L Fan Massachusetts Institute of Technology, 2024 | | 2024 |