| 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 | 366 | 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 | 333 | 2013 |
| Factorized Graph Matching F Zhou, F De la Torre Computer Vision and Pattern Recognition (CVPR), 2012 | 272 | 2012 |
| Canonical time warping for alignment of human behavior F Zhou, F De La Torre Advances in Neural Information Processing Systems (NIPS), 2009 | 223 | 2009 |
| Aligned cluster analysis for temporal segmentation of human motion F Zhou, F Torre, JK Hodgins Automatic Face & Gesture Recognition, 2008. FG'08. 8th IEEE International …, 2008 | 206 | 2008 |
| 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 | 186 | 2017 |
| Generalized Time Warping for Multi-modal Alignment of Human Motion F Zhou, F De la Torre Computer Vision and Pattern Recognition (CVPR), 2012 | 160 | 2012 |
| 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 | 146 | 2017 |
| 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 | 146 | 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 | 144 | 2016 |
| Deformable Graph Matching F Zhou, F De la Torre IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013 | 139 | 2013 |
| Exemplar-based graph matching for robust facial landmark localization F Zhou, J Brandt, Z Lin Proceedings of the IEEE International Conference on Computer Vision, 1025-1032, 2013 | 105 | 2013 |
| Unsupervised discovery of facial events F Zhou, F De la Torre, JF Cohn Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010 | 102 | 2010 |
| 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 | 100 | 2018 |
| Deep deformation network for object landmark localization X Yu, F Zhou, M Chandraker European Conference on Computer Vision, 52-70, 2016 | 100 | 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 | 95 | 2014 |
| Factorized graph matching F Zhou, F De la Torre IEEE transactions on pattern analysis and machine intelligence 38 (9), 1774-1789, 2015 | 79 | 2015 |
| Fine-grained image classification by exploring bipartite-graph labels F Zhou, Y Lin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 76 | 2016 |
| Generalized canonical time warping F Zhou, F De la Torre IEEE transactions on pattern analysis and machine intelligence 38 (2), 279-294, 2015 | 74 | 2015 |
| 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 | 63 | 2016 |
Fernando De la TorreResearch Associate Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
