| Deeply learning deformable facial action parts model for dynamic expression analysis M Liu, S Li, S Shan, R Wang, X Chen Asian conference on computer vision, 143-157, 2014 | 251 | 2014 |
| AU-aware Deep Networks for Facial Expression Recognition M Liu, S Li, S Shan, X Chen Automatic Face and Gesture Recognition, 2012 | 216 | 2012 |
| Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild XC Mengyi Liu, Ruiping Wang, Shaoxin Li, Shiguang Shan, Zhiwu Huang The International Conference on Multimodal Interaction, ICMI 2014, 2014 | 160* | 2014 |
| Au-inspired deep networks for facial expression feature learning M Liu, S Li, S Shan, X Chen Neurocomputing 159, 126-136, 2015 | 145 | 2015 |
| Agenet: Deeply learned regressor and classifier for robust apparent age estimation X Liu, S Li, M Kan, J Zhang, S Wu, W Liu, H Han, S Shan, X Chen Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 108 | 2015 |
| Morphable displacement field based image matching for face recognition across pose S Li, X Liu, X Chai, H Zhang, S Lao, S Shan European conference on computer vision, 102-115, 2012 | 91 | 2012 |
| 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 | 47 | 2015 |
| Relative forest for attribute prediction S Li, S Shan, X Chen Asian Conference on Computer Vision, 316-327, 2012 | 44 | 2012 |
| Shape driven kernel adaptation in convolutional neural network for robust facial traits recognition S Li, J Xing, Z Niu, S Shan, S Yan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 40 | 2015 |
| Enhancing Expression Recognition in the Wild with Unlabeled Reference Data XC M Liu, S Li, S Shan Asian Conference on Computer Vision, 2012 | 26 | 2012 |
| Maximal likelihood correspondence estimation for face recognition across pose S Li, X Liu, X Chai, H Zhang, S Lao, S Shan IEEE Transactions on Image Processing 23 (10), 4587-4600, 2014 | 22 | 2014 |
| Curricularface: adaptive curriculum learning loss for deep face recognition Y Huang, Y Wang, Y Tai, X Liu, P Shen, S Li, J Li, F Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 12 | 2020 |
| Self-error-correcting convolutional neural network for learning with noisy labels X Liu, S Li, M Kan, S Shan, X Chen 2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017 | 12 | 2017 |
| Video modeling and learning on Riemannian manifold for emotion recognition in the wild M Liu, R Wang, S Li, Z Huang, S Shan, X Chen Journal on Multimodal User Interfaces 10 (2), 113-124, 2016 | 6 | 2016 |
| Margin emphasized metric learning and its application to Gabor feature based face recognition S Li, S Shan Face and Gesture 2011, 579-584, 2011 | 5 | 2011 |
| Relative forest for visual attribute prediction S Li, S Shan, S Yan, X Chen IEEE Transactions on Image Processing 25 (9), 3991-4003, 2016 | 4 | 2016 |
| Improving face recognition from hard samples via distribution distillation loss Y Huang, P Shen, Y Tai, S Li, X Liu, J Li, F Huang, R Ji European Conference on Computer Vision, 138-154, 2020 | 3* | 2020 |
| Towards Palmprint Verification On Smartphones Y Zhang, L Zhang, R Zhang, S Li, J Li, F Huang arXiv preprint arXiv:2003.13266, 2020 | 2 | 2020 |
| Everything is in the face? represent faces with object bank X Liu, S Shan, S Li, AG Hauptmann Asian Conference on Computer Vision, 180-193, 2014 | 1 | 2014 |
| Deeply End to End Learning for Robust Apparent Face Age Estimation X Liu, S Li, M Kan, J Zhang, S Wu, H Han | | 2015 |
Shiguang ShanProfessor of Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
