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Shaoxin Li
Shaoxin Li
Youtu Lab, Tencent
Verified email at tencent.com
Title
Cited by
Cited by
Year
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
3392015
AU-aware Deep Networks for Facial Expression Recognition
M Liu, S Li, S Shan, X Chen
Automatic Face and Gesture Recognition, 2012
2902012
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
2702020
Au-inspired deep networks for facial expression feature learning
M Liu, S Li, S Shan, X Chen
Neurocomputing 159, 126-136, 2015
2302015
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
200*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
1562015
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
1042012
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
552015
Relative forest for visual attribute prediction
S Li, S Shan, S Yan, X Chen
IEEE Transactions on Image Processing 25 (9), 3991-4003, 2016
53*2016
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
522015
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
452020
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
392021
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
302021
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
272017
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
262021
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
242014
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
142021
Towards palmprint verification on smartphones
Y Zhang, L Zhang, R Zhang, S Li, J Li, F Huang
arXiv preprint arXiv:2003.13266, 2020
112020
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, 113-124, 2016
72016
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