| MetaFormer is Actually What You Need for Vision W Yu, M Luo, P Zhou, C Si, Y Zhou, X Wang, J Feng, S Yan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 651 | 2021 |
| Federated meta-learning with fast convergence and efficient communication F Chen, M Luo, Z Dong, Z Li, X He arXiv preprint arXiv:1802.07876, 2018 | 484 | 2018 |
| No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data M Luo, F Chen, D Hu, Y Zhang, J Liang, J Feng Advances in Neural Information Processing Systems (NeurIPS), 2021, 2021 | 221 | 2021 |
| Metaformer baselines for vision W Yu, C Si, P Zhou, M Luo, Y Zhou, J Feng, S Yan, X Wang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 57 | 2023 |
| MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection M Luo, F Chen, P Cheng, Z Dong, X He, J Feng, Z Li Proceedings of The Web Conference (WWW), 2020, 2507-2513, 2020 | 51 | 2020 |
| Ego-Exo4D: Understanding Skilled Human Activity from First-and Third-Person Perspectives K Grauman, A Westbury, L Torresani, K Kitani, J Malik, T Afouras, ... arXiv preprint arXiv:2311.18259, 2023 | 15 | 2023 |
| Put Myself in Your Shoes: Lifting the Egocentric Perspective from Exocentric Videos M Luo, Z Xue, A Dimakis, K Grauman arXiv preprint arXiv:2403.06351, 2024 | | 2024 |
