Shaoxin Li
Shaoxin Li
Youtu Lab, Tencent
Correu electrònic verificat a
Citada per
Citada per
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
AU-aware Deep Networks for Facial Expression Recognition
M Liu, S Li, S Shan, X Chen
Automatic Face and Gesture Recognition, 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
Au-inspired deep networks for facial expression feature learning
M Liu, S Li, S Shan, X Chen
Neurocomputing 159, 126-136, 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
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
Relative forest for visual attribute prediction
S Li, S Shan, S Yan, X Chen
IEEE Transactions on Image Processing 25 (9), 3991-4003, 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
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
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
Enhancing Expression Recognition in the Wild with Unlabeled Reference Data
XC M Liu, S Li, S Shan
Asian Conference on Computer Vision, 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
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
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
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
Margin emphasized metric learning and its application to Gabor feature based face recognition
S Li, S Shan
Face and Gesture 2011, 579-584, 2011
Towards Palmprint Verification On Smartphones
Y Zhang, L Zhang, R Zhang, S Li, J Li, F Huang
arXiv preprint arXiv:2003.13266, 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
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
arXiv preprint arXiv:2103.05977, 2021
Deeply End to End Learning for Robust Apparent Face Age Estimation
X Liu, S Li, M Kan, J Zhang, S Wu, H Han
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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