Chaowei Fang


Chaowei FANG is an associate professor at School of Artificial Intelligence, Xidian University, and also a member of the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education. He received Ph.d. degree (supervised by Prof. Yizhou Yu) from The University of Hong Kong in 2019. During 2013-2015, he was a postgraduate student at the Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University (supervised by Prof. Jianru Xue). His research interest includes visual information processing, representation, and understanding.

[It is my] loving duty to seek the truth in all things.
—— Nicholas Copernicus

方超伟是西安电子科技大学人工智能学院副教授,智能感知与图像理解教育部重点实验室成员。2019年获得香港大学博士学位,导师为Yizhou Yu教授;2013年获得西安交通大学学士学位;2013-2015期间,于西安交通大学人工智能与机器人研究所攻读研究生,导师为薛建儒教授。研究兴趣包括:视觉信息处理、表示与理解。


His group is recruiting master students. If interested, please send your resume and transcript to e-mail: chaoweifang AT outlook.com.


Research Topics


* indicates equal contribution. † indicates corresponding author.

1. Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation. AAAI, 2024.
2. Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal. AAAI, 2024.
3. Variance-insensitive and Target-preserving Mask Refinement for Interactive Image Segmentation. AAAI, 2024.
4. Weakly Supervised Semantic Segmentation via Alternate Self-Dual Teaching. TIP, 2023.
5. RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels. ICCV, 2023.
6. Multi-task Learning with Hierarchical Guidance for Locating and Stratifying Submucosal Tumors. JBHI, 2023.
7. Select, Purify and Exchange: A Multi-Source Unsupervised Domain Adaptation Method for Building Extraction. TNNLS, 2023.
8. Separating Noisy Samples from Tail Classes for Long-Tailed Image Classification with Label Noise. TNNLS, 2023.
9. Identity-Preserving Talking Face Generation with Landmark and Appearance Priors. CVPR, 2023.
10. Reliable Mutual Distillation for Medical Image Segmentation under Imperfect Annotations. TMI, 2023.
11. Adapting Object Size Variance and Class Imbalance for Semi-Supervised Object Detection. AAAI, 2023.
12. De-biased Teacher: Rethinking IoU Matching for Semi-Supervised Object Detection. AAAI, 2023.
13. Deep 3D Vessel Segmentation based on Cross Transformer Network. BIBM, 2022.
14. Compound Batch Normalization for Long-tailed Image Classification. ACM MM, 2022.
15. Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance. MICCAI, 2022.
16. Cross-Modality High-Frequency Transformer for MR Image Super-Resolution. ACM MM, 2022.
18. Double-Check Soft Teacher for Semi-Supervised Object Detection. IJCAI, 2022.
19. Incremental Cross-view Mutual Distillation for Self-supervised Medical CT Synthesis. CVPR, 2022. PDF
20. Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation. ISBI, 2022. PDF
22. Weakly Supervised Disease Localization in Chest X-rays via Looking into Image Relations. BIBM, 2021. PDF
23. Densely Nested Top-Down Flows for Salient Object Detection. SCIS, 2021. PDF
24. M3Net: A Multi-scale Multi-view Framework for Multi-phase Pancreas Segmentation Based on Cross-phase Non-local Attention. MIA, 2021. PDF
25. Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning. ICCV, 2021. PDF
26. CALLip: Lipreading using Contrastive and Attribute Learning. ACM MM, 2021. PDF
27. Contralaterally Enhanced Networks for Thoracic Disease Detection. TMI, 2021. PDF
28. Deep Transformers for Fast Small Intestine Grounding in Capsule Endoscope Video. ISBI, 2021. PDF
29. Graph Neural Networks for Unsupervised Domain Adaptation of Histopathological ImageAnalytics. ISBI, 2021. PDF
30. PNEN: Pyramid Non-Local Enhanced Networks. TIP, 2020. PDF
31. Meta Corrupted Pixels Mining for Medical Image Segmentation. MICCAI, 2020. PDF
32. Towards Computational Analytics of 3D Neuron Images using Deep Adversarial Learning. Neurocomputing, 2020. PDF
33. Self-Enhanced Convolutional Network for Facial Video Hallucination. TIP, 2019. PDF
34. Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation. MICCAI, 2019. PDF
35. Piecewise Flat Embedding for Image Segmentation. TPAMI, 2019. PDF Code
38. Piecewise Flat Embedding for Image Segmentation. ICCV, 2015. PDF
39. Improved Techniques for Multi-view Registration with Motion Averaging. 3DV, 2014. PDF



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