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Chaoqin Huang
Chaoqin Huang
SJTU, NUS
Verified email at sjtu.edu.cn
Title
Cited by
Cited by
Year
Attribute restoration framework for anomaly detection
F Ye*, C Huang*, J Cao, M Li, Y Zhang, C Lu
IEEE Transactions on Multimedia, 2020
142*2020
Drivingstereo: A large-scale dataset for stereo matching in autonomous driving scenarios
G Yang, X Song, C Huang, Z Deng, J Shi, B Zhou
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1022019
Recurrent residual module for fast inference in videos
B Pan, W Lin, X Fang, C Huang, B Zhou, C Lu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
312018
ESAD: End-to-end Semi-supervised Anomaly Detection
C Huang, F Ye, P Zhao, Y Zhang, Y Wang, Q Tian
The 32nd British Machine Vision Conference, 2021
10*2021
Registration based Few-Shot Anomaly Detection
C Huang, H Guan, A Jiang, Y Zhang, M Spratling, YF Wang
European Conference of Computer Vision, Oral, 2022
92022
Self-supervised masking for unsupervised anomaly detection and localization
C Huang, Q Xu, Y Wang, Y Wang, Y Zhang
IEEE Transactions on Multimedia, 2022
62022
Deep unsupervised image anomaly detection: An information theoretic framework
F Ye, H Zheng, C Huang, Y Zhang
2021 IEEE International Conference on Image Processing (ICIP), 1609-1613, 2021
52021
Self-supervised tumor segmentation through layer decomposition
X Zhang, W Xie, C Huang, Y Wang, Y Zhang, X Chen, Q Tian
arXiv preprint arXiv:2109.03230, 2021
42021
Semi-Supervised Domain Generalization for Medical Image Analysis
R Zhang, Q Xu, C Huang, Y Zhang, Y Wang
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022
32022
Self-supervised Tumor Segmentation with Sim2Real Adaptation
X Zhang, W Xie, C Huang, Y Zhang, X Chen, Q Tian, Y Wang
IEEE Journal of Biomedical and Health Informatics, 2023
2023
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