| 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 | 6389 | 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 | 1991 | 2019 |
| Improved baselines with momentum contrastive learning X Chen, H Fan, R Girshick, K He arXiv preprint arXiv:2003.04297, 2020 | 1872 | 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 | 475 | 2021 |
| 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 | 455 | 2019 |
| 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 | 395 | 2019 |
| Going deeper into first-person activity recognition M Ma, H Fan, KM Kitani Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 357 | 2016 |
| 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 | 200 | 2022 |
| 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 | 135 | 2021 |
| Improved multiscale vision transformers for classification and detection Y Li, CY Wu, H Fan, K Mangalam, B Xiong, J Malik, C Feichtenhofer arXiv preprint arXiv:2112.01526, 2021 | 128* | 2021 |
| 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 | 80 | 2021 |
| Masked autoencoders as spatiotemporal learners C Feichtenhofer, H Fan, Y Li, K He arXiv preprint arXiv:2205.09113, 2022 | 70 | 2022 |
| pyslowfast H Fan, Y Li, B Xiong, WY Lo, C Feichtenhofer https://github. com/facebookresearch/slowfast, 2020 | 68 | 2020 |
| Efficient k-shot learning with regularized deep networks D Yoo, H Fan, V Boddeti, K Kitani Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 40 | 2018 |
| Stacked latent attention for multimodal reasoning H Fan, J Zhou Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 37 | 2018 |
| Can temporal information help with contrastive self-supervised learning? Y Bai, H Fan, I Misra, G Venkatesh, Y Lu, Y Zhou, Q Yu, V Chandra, ... arXiv preprint arXiv:2011.13046, 2020 | 32 | 2020 |
| 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 | 31 | 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 | 26 | 2021 |
| Multiview pseudo-labeling for semi-supervised learning from video B Xiong, H Fan, K Grauman, C Feichtenhofer Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 21 | 2021 |
| 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 | 20 | 2022 |
Kaiming HeResearch Scientist, Facebook AI Research (FAIR)Verified email at fb.com
