| Projection Metric Learning on Grassmann Manifold with Application to Video Based Face Recognition Z Huang, R Wang, S Shan, X Chen Computer Vision and Pattern Recognition, 2015. CVPR 2015. IEEE Conference …, 2015 | 144 | 2015 |
| Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification Z Huang, R Wang, S Shan, X Li, X Chen International Conference on Machine Learning, 2015. ICML 2015., 720-729, 2015 | 136 | 2015 |
| Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild M Liu, R Wang, S Li, S Shan, Z Huang, X Chen Proceedings of the 16th International Conference on Multimodal Interaction …, 2014 | 131 | 2014 |
| Deep Learning on Lie Groups for Skeleton-based Action Recognition Z Huang, C Wan, T Probst, L Van Gool Computer Vision and Pattern Recognition, 2017. CVPR 2017. IEEE Conference on …, 2017 | 120 | 2017 |
| Discriminant analysis on Riemannian manifold of Gaussian distributions for face recognition with image sets W Wang, R Wang, Z Huang, S Shan, X Chen Computer Vision and Pattern Recognition, 2015. CVPR 2015. IEEE Conference …, 2015 | 96 | 2015 |
| Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video Z Huang, R Wang, S Shan, L Van Gool, X Chen IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018, 2018 | 92* | 2018 |
| A Riemannian Network for SPD Matrix Learning Z Huang, L Van Gool Association for the Advancement of Artificial Intelligence, 2017. AAAI 2017 …, 2017 | 92 | 2017 |
| A benchmark and comparative study of video-based face recognition on COX face database Z Huang, S Shan, R Wang, H Zhang, S Lao, A Kuerban, X Chen IEEE Transactions on Image Processing 24 (12), 5967-5981, 2015 | 77 | 2015 |
| Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification Z Huang, R Wang, S Shan, X Chen Computer Vision and Pattern Recognition, 2014. CVPR 2014. IEEE Conference …, 2014 | 73 | 2014 |
| Face Recognition on Large-scale Video in the Wild with Hybrid Euclidean-and-Riemannian Metric Learning Z Huang, R Wang, S Shan, X Chen Pattern Recognition 48 (10), 3113-3124, 2015 | 62 | 2015 |
| Partial least squares regression on Grassmannian manifold for emotion recognition M Liu, R Wang, Z Huang, S Shan, X Chen Proceedings of the 15th ACM on International conference on multimodal …, 2013 | 49 | 2013 |
| Face video retrieval with image query via hashing across Euclidean space and Riemannian manifold Y Li, R Wang, Z Huang, S Shan, X Chen Computer Vision and Pattern Recognition, 2015. CVPR 2015. IEEE Conference …, 2015 | 48 | 2015 |
| Report on the FG 2015 video person recognition evaluation JR Beveridge, H Zhang, BA Draper, PJ Flynn, Z Feng, P Huber, J Kittler, ... 2015 11th IEEE international conference and workshops on Automatic Face and …, 2015 | 43 | 2015 |
| Building Deep Networks on Grassmann Manifolds Z Huang, J Wu, L Van Gool Association for the Advancement of Artificial Intelligence, 2018. AAAI 2018, 2018 | 39 | 2018 |
| Benchmarking still-to-video face recognition via partial and local linear discriminant analysis on cox-s2v dataset Z Huang, S Shan, H Zhang, S Lao, A Kuerban, X Chen Asian Conference on Computer Vision, 589-600, 2012 | 35 | 2012 |
| Coupling alignments with recognition for still-to-video face recognition Z Huang, X Zhao, S Shan, R Wang, X Chen International Conference on Computer Vision, 2013. ICCV 2013. IEEE …, 2013 | 34 | 2013 |
| Covariance Pooling for Facial Expression Recognition D Acharya, Z Huang, DP Paudel, L Van Gool arXiv preprint arXiv:1805.04855, 2018 | 25 | 2018 |
| Hybrid Euclidean-and-Riemannian metric learning for image set classification Z Huang, R Wang, S Shan, X Chen Asian Conference on Computer Vision, 562-577, 2014 | 25 | 2014 |
| Sliced Wasserstein Generative Models J Wu, Z Huang, W Li, J Thoma, L Van Gool Computer Vision and Pattern Recognition, 2019. CVPR 2019. IEEE Conference on …, 2017 | 15* | 2017 |
| Wasserstein Divergence for GANs J Wu, Z Huang, J Thoma, D Achary, L Van Gool Proceedings of the European Conference on Computer Vision 2018 (arXiv 2017), 2017 | 14 | 2017 |
Shiguang ShanProfessor of Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
