Takip et
Chaoqin Huang
Chaoqin Huang
Shanghai Jiao Tong University, National University of Singapore
sjtu.edu.cn üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Attribute restoration framework for anomaly detection
F Ye*, C Huang*, J Cao, M Li, Y Zhang, C Lu
IEEE Transactions on Multimedia, 2020
274*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
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 899-908, 2019
2332019
Registration based Few-Shot Anomaly Detection
C Huang, H Guan, A Jiang, Y Zhang, M Spratling, YF Wang
European Conference of Computer Vision (ECCV), Oral, 2022
1692022
Self-supervised masking for unsupervised anomaly detection and localization
C Huang, Q Xu, Y Wang, Y Wang, Y Zhang
IEEE Transactions on Multimedia 25, 4426-4438, 2022
872022
Recurrent residual module for fast inference in videos
B Pan, W Lin, X Fang, C Huang, B Zhou, C Lu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 1536-1545, 2018
442018
Adapting visual-language models for generalizable anomaly detection in medical images
C Huang, A Jiang, J Feng, Y Zhang, X Wang, Y Wang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Hightlight, 2024
322024
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 27 (9), 4373-4384, 2023
31*2023
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 (BMVC), 2021
27*2021
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
182022
Q-value Regularized Transformer for Offline Reinforcement Learning
S Hu, Z Fan, C Huang, L Shen, Y Zhang, Y Wang, D Tao
International Conference on Machine Learning (ICML), 2024
162024
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
142021
Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection
A Jiang*, C Huang*, Q Cao, S Wu, Z Zeng, K Chen, Y Zhang, Y Wang
International Conference on Medical Image Computing and Computer Assisted …, 2023
72023
Multi-scale memory comparison for zero-/few-shot anomaly detection
C Huang, A Jiang, Y Zhang, Y Wang
arXiv preprint arXiv:2308.04789, 2023
62023
Self-supervised Anomaly Detection Pretraining Enhances Long-tail ECG Diagnosis
A Jiang, C Huang, Q Cao, Y Xu, Z Zeng, K Chen, Y Zhang, Y Wang
arXiv preprint arXiv:2408.17154, 2024
22024
Anomaly Detection in Electrocardiograms: Advancing Clinical Diagnosis Through Self-Supervised Learning
A Jiang, C Huang, Q Cao, Y Xu, Z Zeng, K Chen, Y Zhang, Y Wang
arXiv preprint arXiv:2404.04935, 2024
22024
Few-Shot Anomaly Detection via Category-Agnostic Registration Learning
C Huang, H Guan, A Jiang, Y Zhang, M Spratling, X Wang, Y Wang
IEEE Transactions on Neural Networks and Learning Systems, 2024
12024
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