Shaoxin Li

Affiliations:
  • Tencent


According to our database1, Shaoxin Li authored at least 30 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2021
Adaptive Feature Alignment for Adversarial Training.
CoRR, 2021

Federated Face Recognition.
CoRR, 2021

Scribble-Supervised Semantic Segmentation Inference.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Wasserstein Coupled Graph Learning for Cross-Modal Retrieval.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Aha! Adaptive History-driven Attack for Decision-based Black-box Models.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Consistent Instance False Positive Improves Fairness in Face Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

SDD-FIQA: Unsupervised Face Image Quality Assessment With Similarity Distribution Distance.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Spherical Confidence Learning for Face Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Graph Game Embedding.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Towards Palmprint Verification On Smartphones.
CoRR, 2020

Distribution Distillation Loss: Generic Approach for Improving Face Recognition from Hard Samples.
CoRR, 2020

Improving Face Recognition from Hard Samples via Distribution Distillation Loss.
Proceedings of the Computer Vision - ECCV 2020, 2020

CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2017
Self-Error-Correcting Convolutional Neural Network for Learning with Noisy Labels.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

2016
Relative Forest for Visual Attribute Prediction.
IEEE Trans. Image Process., 2016

Video modeling and learning on Riemannian manifold for emotion recognition in the wild.
J. Multimodal User Interfaces, 2016

2015
AU-inspired Deep Networks for Facial Expression Feature Learning.
Neurocomputing, 2015

AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Report on the FG 2015 Video Person Recognition Evaluation.
Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

Shape driven kernel adaptation in Convolutional Neural Network for robust facial trait recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Maximal Likelihood Correspondence Estimation for Face Recognition Across Pose.
IEEE Trans. Image Process., 2014

Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild.
Proceedings of the 16th International Conference on Multimodal Interaction, 2014

Everything is in the Face? Represent Faces with Object Bank.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
AU-aware Deep Networks for facial expression recognition.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

2012
Morphable Displacement Field Based Image Matching for Face Recognition across Pose.
Proceedings of the Computer Vision - ECCV 2012, 2012

Enhancing Expression Recognition in the Wild with Unlabeled Reference Data.
Proceedings of the Computer Vision, 2012

Relative Forest for Attribute Prediction.
Proceedings of the Computer Vision - ACCV 2012, 2012

2011
Margin Emphasized Metric Learning and its application to Gabor feature based face recognition.
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011


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