| Dive into ambiguity: Latent distribution mining and pairwise uncertainty estimation for facial expression recognition J She, Y Hu, H Shi, J Wang, Q Shen, T Mei Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 190 | 2021 |
| Co-mining: Deep face recognition with noisy labels X Wang, S Wang, J Wang, H Shi, T Mei Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 125 | 2019 |
| Facex-zoo: A pytorch toolbox for face recognition J Wang, Y Liu, Y Hu, H Shi, T Mei Proceedings of the 29th ACM international conference on multimedia, 3779-3782, 2021 | 99 | 2021 |
| Semi-siamese training for shallow face learning H Du, H Shi, Y Liu, J Wang, Z Lei, D Zeng, T Mei Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 31 | 2020 |
| Boosting semi-supervised face recognition with noise robustness Y Liu, H Shi, H Du, R Zhu, J Wang, L Zheng, T Mei IEEE Transactions on Circuits and Systems for Video Technology 32 (2), 778-787, 2021 | 18 | 2021 |
| NPCFace: A negative-positive cooperation supervision for training large-scale face recognition D Zeng, H Shi, H Du, J Wang, Z Lei, T Mei arXiv preprint arXiv:2007.10172, 2020 | 15 | 2020 |
| Npcface: Negative-positive collaborative training for large-scale face recognition D Zeng, H Shi, H Du, J Wang, Z Lei, T Mei arXiv preprint arXiv:2007.10172, 2020 | 11 | 2020 |
| Scale Attention for Learning Deep Face Representation: A Study Against Visual Scale Variation H Shi, H Du, Y Hu, J Wang, D Zeng, T Yao arXiv preprint arXiv:2209.08788, 2022 | | 2022 |
| Supplementary Material for Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition J She, Y Hu, H Shi, J Wang, Q Shen, T Mei | | |
| Semi-Siamese Training for Shallow Face Learning Supplementary Material H Du, H Shi, Y Liu, J Wang, Z Lei, D Zeng, T Mei | | |
