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 | 544 | 2020 |
Deeply learning deformable facial action parts model for dynamic expression analysis M Liu, S Li, S Shan, R Wang, X Chen Computer Vision--ACCV 2014: 12th Asian Conference on Computer Vision …, 2015 | 388 | 2015 |
AU-aware Deep Networks for Facial Expression Recognition M Liu, S Li, S Shan, X Chen Automatic Face and Gesture Recognition, 2012 | 315 | 2012 |
Au-inspired deep networks for facial expression feature learning M Liu, S Li, S Shan, X Chen Neurocomputing 159, 126-136, 2015 | 263 | 2015 |
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 | 215* | 2014 |
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 | 180 | 2015 |
Morphable displacement field based image matching for face recognition across pose S Li, X Liu, X Chai, H Zhang, S Lao, S Shan Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 109 | 2012 |
SDD-FIQA: Unsupervised face image quality assessment with similarity distribution distance FZ Ou, X Chen, R Zhang, Y Huang, S Li, J Li, Y Li, L Cao, YG Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 102 | 2021 |
Spherical confidence learning for face recognition S Li, J Xu, X Xu, P Shen, S Li, B Hooi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 73 | 2021 |
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 Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 72 | 2020 |
Relative forest for visual attribute prediction S Li, S Shan, S Yan, X Chen IEEE Transactions on Image Processing 25 (9), 3991-4003, 2016 | 58* | 2016 |
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 | 58 | 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 | 54 | 2015 |
Consistent instance false positive improves fairness in face recognition X Xu, Y Huang, P Shen, S Li, J Li, F Huang, Y Li, Z Cui Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 53 | 2021 |
Scribble-supervised semantic segmentation inference J Xu, C Zhou, Z Cui, C Xu, Y Huang, P Shen, S Li, J Yang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 38 | 2021 |
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 | 34 | 2017 |
Towards palmprint verification on smartphones Y Zhang, L Zhang, R Zhang, S Li, J Li, F Huang arXiv preprint arXiv:2003.13266, 2020 | 29 | 2020 |
Enhancing Expression Recognition in the Wild with Unlabeled Reference Data XC M Liu, S Li, S Shan Asian Conference on Computer Vision, 2012 | 29* | 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 | 28 | 2014 |
Wasserstein coupled graph learning for cross-modal retrieval Y Wang, T Zhang, X Zhang, Z Cui, Y Huang, P Shen, S Li, J Yang 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 1793-1802, 2021 | 26 | 2021 |