Chaoqin Huang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Anomaly Detection

Detect Anomalies

Stereo Matching

Unsupervised Learning

Top Venues

IEEE Trans. Multim.

Publications

Chaoqin Huang, Aofan Jiang, Jinghao Feng, Ya Zhang, Xinchao Wang, Yanfeng Wang
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images. CoRR (2024)
Chaoqin Huang, Haoyan Guan, Aofan Jiang, Yanfeng Wang, Michael W. Spratling, Xinchao Wang, Ya Zhang
Few-Shot Anomaly Detection via Category-Agnostic Registration Learning. CoRR (2024)
Shengchao Hu, Ziqing Fan, Chaoqin Huang, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao
Q-value Regularized Transformer for Offline Reinforcement Learning. CoRR (2024)
Aofan Jiang, Chaoqin Huang, Qing Cao, Yuchen Xu, Zi Zeng, Kang Chen, Ya Zhang, Yanfeng Wang
Anomaly Detection in Electrocardiograms: Advancing Clinical Diagnosis Through Self-Supervised Learning. CoRR (2024)
Xiaoman Zhang, Weidi Xie, Chaoqin Huang, Ya Zhang, Xin Chen, Qi Tian, Yanfeng Wang
Self-Supervised Tumor Segmentation With Sim2Real Adaptation. IEEE J. Biomed. Health Informatics 27 (9) (2023)
Chaoqin Huang, Qinwei Xu, Yanfeng Wang, Yu Wang, Ya Zhang
Self-Supervised Masking for Unsupervised Anomaly Detection and Localization. IEEE Trans. Multim. 25 (2023)
Aofan Jiang, Chaoqin Huang, Qing Cao, Shuang Wu, Zi Zeng, Kang Chen, Ya Zhang, Yanfeng Wang
Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection. CoRR (2023)
Chaoqin Huang, Aofan Jiang, Ya Zhang, Yanfeng Wang
Multi-Scale Memory Comparison for Zero-/Few-Shot Anomaly Detection. CoRR (2023)
Aofan Jiang, Chaoqin Huang, Qing Cao, Shuang Wu, Zi Zeng, Kang Chen, Ya Zhang, Yanfeng Wang
Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection. MICCAI (1) (2023)
Chaoqin Huang, Haoyan Guan, Aofan Jiang, Ya Zhang, Michael W. Spratling, Yan-Feng Wang
Registration Based Few-Shot Anomaly Detection. ECCV (24) (2022)
Fei Ye, Chaoqin Huang, Jinkun Cao, Maosen Li, Ya Zhang, Cewu Lu
Attribute Restoration Framework for Anomaly Detection. IEEE Trans. Multim. 24 (2022)
Chaoqin Huang, Qinwei Xu, Yanfeng Wang, Yu Wang, Ya Zhang
Self-Supervised Masking for Unsupervised Anomaly Detection and Localization. CoRR (2022)
Chaoqin Huang, Haoyan Guan, Aofan Jiang, Ya Zhang, Michael W. Spratling, Yan-Feng Wang
Registration based Few-Shot Anomaly Detection. CoRR (2022)
Ruipeng Zhang, Qinwei Xu, Chaoqin Huang, Ya Zhang, Yanfeng Wang
Semi-Supervised Domain Generalization for Medical Image Analysis. ISBI (2022)
Chaoqin Huang, Fei Ye, Peisen Zhao, Ya Zhang, Yan-Feng Wang, Qi Tian
ESAD: End-to-end Semi-supervised Anomaly Detection. BMVC (2021)
Xiaoman Zhang, Weidi Xie, Chaoqin Huang, Ya Zhang, Yanfeng Wang
Self-supervised Tumor Segmentation through Layer Decomposition. CoRR (2021)
Fei Ye, Huangjie Zheng, Chaoqin Huang, Ya Zhang
Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework. ICIP (2021)
Chaoqin Huang, Fei Ye, Ya Zhang, Yan-Feng Wang, Qi Tian
ESAD: End-to-end Deep Semi-supervised Anomaly Detection. CoRR (2020)
Guorun Yang, Xiao Song, Chaoqin Huang, Zhidong Deng, Jianping Shi, Bolei Zhou
DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios. CVPR (2019)
Bowen Pan, Wuwei Lin, Xiaolin Fang, Chaoqin Huang, Bolei Zhou, Cewu Lu
Recurrent Residual Module for Fast Inference in Videos. CoRR (2018)
Bowen Pan, Wuwei Lin, Xiaolin Fang, Chaoqin Huang, Bolei Zhou, Cewu Lu
Recurrent Residual Module for Fast Inference in Videos. CVPR (2018)