| Cafe: Learning to condense dataset by aligning features K Wang, B Zhao, X Peng, Z Zhu, S Yang, S Wang, G Huang, H Bilen, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 171 | 2022 |
| Mis-classified vector guided softmax loss for face recognition X Wang, S Zhang, S Wang, T Fu, H Shi, T Mei Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12241 …, 2020 | 167 | 2020 |
| 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 | 127 | 2019 |
| Loss function search for face recognition X Wang, S Wang, C Chi, S Zhang, T Mei International Conference on Machine Learning, 10029-10038, 2020 | 60 | 2020 |
| Exclusivity-consistency regularized knowledge distillation for face recognition X Wang, T Fu, S Liao, S Wang, Z Lei, T Mei Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 57 | 2020 |
| Improved selective refinement network for face detection S Zhang, R Zhu, X Wang, H Shi, T Fu, S Wang, T Mei, SZ Li arXiv preprint arXiv:1901.06651, 2019 | 44 | 2019 |
| Support vector guided softmax loss for face recognition X Wang, S Wang, S Zhang, T Fu, H Shi, T Mei arXiv preprint arXiv:1812.11317, 2018 | 44 | 2018 |
| An efficient training approach for very large scale face recognition K Wang, S Wang, P Zhang, Z Zhou, Z Zhu, X Wang, X Peng, B Sun, H Li, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 30 | 2022 |
| Rvface: Reliable vector guided softmax loss for face recognition X Wang, S Wang, Y Liang, L Gu, Z Lei IEEE Transactions on Image Processing 31, 2337-2351, 2022 | 9 | 2022 |
| Mask aware network for masked face recognition in the wild K Wang, S Wang, J Yang, X Wang, B Sun, H Li, Y You Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 7 | 2021 |
Xiaobo Wang (王晓波)Institute of Automation, Chinese Academy of Sciences在 ia.ac.cn 的电子邮件经过验证
