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Shaoxin Li
Shaoxin Li
Shanghai Digital Medicine Innovation Center (SHDMIC)
Verified email at rjh.com.cn
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Cited by
Year
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
5412020
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
3882015
AU-aware Deep Networks for Facial Expression Recognition
M Liu, S Li, S Shan, X Chen
Automatic Face and Gesture Recognition, 2012
3142012
Au-inspired deep networks for facial expression feature learning
M Liu, S Li, S Shan, X Chen
Neurocomputing 159, 126-136, 2015
2622015
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
1802015
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
1092012
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
1022021
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
732021
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
722020
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
572015
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
532015
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
522021
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
372021
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
342017
Towards palmprint verification on smartphones
Y Zhang, L Zhang, R Zhang, S Li, J Li, F Huang
arXiv preprint arXiv:2003.13266, 2020
292020
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
282014
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
262021
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