| Momentum contrast for unsupervised visual representation learning K He, H Fan, Y Wu, S Xie, R Girshick Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 14338 | 2020 |
| Slowfast networks for video recognition C Feichtenhofer, H Fan, J Malik, K He Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 4137 | 2019 |
| Improved baselines with momentum contrastive learning X Chen, H Fan, R Girshick, K He arXiv preprint arXiv:2003.04297, 2020 | 3852 | 2020 |
| Multiscale vision transformers H Fan, B Xiong, K Mangalam, Y Li, Z Yan, J Malik, C Feichtenhofer Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 1521 | 2021 |
| Mvitv2: Improved multiscale vision transformers for classification and detection Y Li, CY Wu, H Fan, K Mangalam, B Xiong, J Malik, C Feichtenhofer Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 831 | 2022 |
| Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution Y Chen, H Fan, B Xu, Z Yan, Y Kalantidis, M Rohrbach, S Yan, J Feng arXiv preprint arXiv:1904.05049, 2019 | 752 | 2019 |
| Masked feature prediction for self-supervised visual pre-training C Wei, H Fan, S Xie, CY Wu, A Yuille, C Feichtenhofer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 722 | 2022 |
| Long-term feature banks for detailed video understanding CY Wu, C Feichtenhofer, H Fan, K He, P Krahenbuhl, R Girshick Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 601 | 2019 |
| Masked autoencoders as spatiotemporal learners C Feichtenhofer, H Fan, Y Li, K He Advances in neural information processing systems 35, 35946-35958, 2022 | 552 | 2022 |
| Going deeper into first-person activity recognition M Ma, H Fan, KM Kitani Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 396 | 2016 |
| Scaling language-image pre-training via masking Y Li, H Fan, R Hu, C Feichtenhofer, K He Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 311 | 2023 |
| A large-scale study on unsupervised spatiotemporal representation learning C Feichtenhofer, H Fan, B Xiong, R Girshick, K He Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 305 | 2021 |
| Memvit: Memory-augmented multiscale vision transformer for efficient long-term video recognition CY Wu, Y Li, K Mangalam, H Fan, B Xiong, J Malik, C Feichtenhofer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 234 | 2022 |
| Hit: Hierarchical transformer with momentum contrast for video-text retrieval S Liu, H Fan, S Qian, Y Chen, W Ding, Z Wang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 181 | 2021 |
| Unified transformer tracker for object tracking F Ma, MZ Shou, L Zhu, H Fan, Y Xu, Y Yang, Z Yan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 122 | 2022 |
| Hiera: A hierarchical vision transformer without the bells-and-whistles C Ryali, YT Hu, D Bolya, C Wei, H Fan, PY Huang, V Aggarwal, ... International Conference on Machine Learning, 29441-29454, 2023 | 121 | 2023 |
| pyslowfast H Fan, Y Li, B Xiong, WY Lo, C Feichtenhofer https://github. com/facebookresearch/slowfast, 2020 | 115 | 2020 |
| Mavil: Masked audio-video learners PY Huang, V Sharma, H Xu, C Ryali, Y Li, SW Li, G Ghosh, J Malik, ... Advances in Neural Information Processing Systems 36, 2024 | 65 | 2024 |
| On the importance of asymmetry for siamese representation learning X Wang, H Fan, Y Tian, D Kihara, X Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 65 | 2022 |
| PyTorchVideo: A Deep Learning Library for Video Understanding H Fan, T Murrell, H Wang, KV Alwala, Y Li, Y Li, B Xiong, N Ravi, M Li, ... Proceedings of the 29th ACM International Conference on Multimedia, 2021 | 61 | 2021 |
Kaiming HeAssociate Professor, EECS, MIT在 mit.edu 的电子邮件经过验证
