| Deep metric learning with angular loss J Wang, F Zhou, S Wen, X Liu, Y Lin Proceedings of the IEEE international conference on computer vision, 2593-2601, 2017 | 627 | 2017 |
| Detecting depression from facial actions and vocal prosody JF Cohn, TS Kruez, I Matthews, Y Yang, MH Nguyen, MT Padilla, F Zhou, ... 2009 3rd international conference on affective computing and intelligent …, 2009 | 596 | 2009 |
| Hierarchical Aligned Cluster Analysis for Temporal Clustering of Human Motion F Zhou, F De la Torre, JK Hodgins IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 35 (3 …, 2013 | 582 | 2013 |
| Factorized Graph Matching F Zhou, F De la Torre Computer Vision and Pattern Recognition (CVPR), 2012 | 551 | 2012 |
| Magface: A universal representation for face recognition and quality assessment Q Meng, S Zhao, Z Huang, F Zhou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 535 | 2021 |
| Searching central difference convolutional networks for face anti-spoofing Z Yu, C Zhao, Z Wang, Y Qin, Z Su, X Li, F Zhou, G Zhao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 475 | 2020 |
| Multi-attention multi-class constraint for fine-grained image recognition M Sun, Y Yuan, F Zhou, E Ding Proceedings of the european conference on computer vision (ECCV), 805-821, 2018 | 456 | 2018 |
| Kernel pooling for convolutional neural networks Y Cui, F Zhou, J Wang, X Liu, Y Lin, S Belongie Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 379 | 2017 |
| Canonical time warping for alignment of human behavior F Zhou, F De La Torre Advances in Neural Information Processing Systems (NIPS), 2009 | 310 | 2009 |
| Fine-grained categorization and dataset bootstrapping using deep metric learning with humans in the loop Y Cui, F Zhou, Y Lin, S Belongie Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 289 | 2016 |
| Fully convolutional attention networks for fine-grained recognition X Liu, T Xia, J Wang, Y Yang, F Zhou, Y Lin arXiv preprint arXiv:1603.06765, 2016 | 276 | 2016 |
| Embedding label structures for fine-grained feature representation X Zhang, F Zhou, Y Lin, S Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 242 | 2016 |
| Generalized Time Warping for Multi-modal Alignment of Human Motion F Zhou, F De la Torre Computer Vision and Pattern Recognition (CVPR), 2012 | 220 | 2012 |
| Deep spatial gradient and temporal depth learning for face anti-spoofing Z Wang, Z Yu, C Zhao, X Zhu, Y Qin, Q Zhou, F Zhou, Z Lei Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 212 | 2020 |
| Compact generalized non-local network K Yue, M Sun, Y Yuan, F Zhou, E Ding, F Xu Advances in neural information processing systems 31, 2018 | 206 | 2018 |
| Deformable Graph Matching F Zhou, F De la Torre IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013 | 170 | 2013 |
| Deep deformation network for object landmark localization X Yu, F Zhou, M Chandraker Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 158 | 2016 |
| Fine-grained image classification by exploring bipartite-graph labels F Zhou, Y Lin Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 155 | 2016 |
| Time-mapping using space-time saliency F Zhou, S Bing Kang, MF Cohen proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 141 | 2014 |
| Dynamic Computational Time for Visual Attention Z Li, Y Yang, X Liu, F Zhou, S Wen, W Xu arXiv preprint arXiv:1703.10332, 2017 | 138 | 2017 |
Fernando De la TorreResearch Associate Professor, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
