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Chaowei Fang

Biography

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 from The University of Hong Kong in 2019, and B.E. degree from Xi'an Jiaotong University in 2013. His research interest includes visual information processing, representation, and understanding.

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, 2013年获得西安交通大学学士学位。研究兴趣包括:视觉信息处理、表示与理解。

Recruitment/招聘

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

正在招聘硕士生和本科实习生,如有兴趣,请发送简历和成绩单至邮箱:chaoweifang[AT]outlook.com.

Research Topics

Publications

* indicates equal contribution. † indicates corresponding author.

1. Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning. ICML, 2025.
2. Decouple and Couple: Exploiting Prior Knowledge for Visible Video Watermark Removal. TIP, 2025.
3. Progressive Feature-Attribute Matching via Bi-directional Generation for Transductive Zero-Shot Learning. TCSVT, 2025.
4. Real-Time Detection of Hypoxia Stress Behavior in Aquaculture Fish Using an Enhanced YOLOv8 Model. Aquaculture International, 2025.
5. RegionMatch: Pixel-Region Collaboration for Semi-Supervised Semantic Segmentation in Remote Sensing Images. IJCAI, 2025.
6. Screening, Rectifying, and Re-Screening: A Unified Framework for Tuning Vision-Language Models with Noisy Labels. IJCAI, 2025.
7. Learning from Open-set Noisy Labels based on Multi-prototype Modeling. PR, 2025.
8. Bridging Knowledge Gap between Image Inpainting and Large-Area Visible Watermark Removal. AAAI, 2025.
9. Hierarchically Controlled Deformable 3D Gaussians for Talking Head Synthesis. AAAI, 2025.
10. Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution. AAAI, 2025.
11. Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection. NeurIPS, 2024.
13. Disentangling Identity Features from Interference Factors for Cloth-Changing Person Re-Identification. ACM MM, 2024.
14. Uncertainty-aware Active Domain Adaptive Salient Object Detection. TIP, 2024.
15. Revisiting the Power of Prompt for Visual Tuning. ICML, 2024.
16. Progressive Adapting and Pruning: Domain-Incremental Learning for Saliency Prediction. TOMM, 2024.
17. Complex visual question answering based on uniform form and content. Appl. Int., 2024.
18. Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation. AAAI, 2024.
19. Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal. AAAI, 2024.
20. Variance-insensitive and Target-preserving Mask Refinement for Interactive Image Segmentation. AAAI, 2024.
21. Weakly Supervised Semantic Segmentation via Alternate Self-Dual Teaching. TIP, 2023.
22. RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels. ICCV, 2023.
23. Multi-task Learning with Hierarchical Guidance for Locating and Stratifying Submucosal Tumors. JBHI, 2023.
24. Select, Purify and Exchange: A Multi-Source Unsupervised Domain Adaptation Method for Building Extraction. TNNLS, 2023.
25. Separating Noisy Samples from Tail Classes for Long-Tailed Image Classification with Label Noise. TNNLS, 2023.
26. Identity-Preserving Talking Face Generation with Landmark and Appearance Priors. CVPR, 2023.
27. Reliable Mutual Distillation for Medical Image Segmentation under Imperfect Annotations. TMI, 2023.
28. Adapting Object Size Variance and Class Imbalance for Semi-Supervised Object Detection. AAAI, 2023.
29. Deep 3D Vessel Segmentation based on Cross Transformer Network. BIBM, 2022.
30. De-biased Teacher: Rethinking IoU Matching for Semi-Supervised Object Detection. AAAI, 2023.
31. Compound Batch Normalization for Long-tailed Image Classification. ACM MM, 2022.
32. Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance. MICCAI, 2022.
33. Cross-Modality High-Frequency Transformer for MR Image Super-Resolution. ACM MM, 2022.
35. Double-Check Soft Teacher for Semi-Supervised Object Detection. IJCAI, 2022.
36. Incremental Cross-view Mutual Distillation for Self-supervised Medical CT Synthesis. CVPR, 2022. PDF
37. Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation. ISBI, 2022. PDF
39. Weakly Supervised Disease Localization in Chest X-rays via Looking into Image Relations. BIBM, 2021. PDF
40. Densely Nested Top-Down Flows for Salient Object Detection. SCIS, 2021. PDF
41. M3Net: A Multi-scale Multi-view Framework for Multi-phase Pancreas Segmentation Based on Cross-phase Non-local Attention. MIA, 2021. PDF
42. Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning. ICCV, 2021. PDF
43. CALLip: Lipreading using Contrastive and Attribute Learning. ACM MM, 2021. PDF
44. Contralaterally Enhanced Networks for Thoracic Disease Detection. TMI, 2021. PDF
45. Deep Transformers for Fast Small Intestine Grounding in Capsule Endoscope Video. ISBI, 2021. PDF
46. Graph Neural Networks for Unsupervised Domain Adaptation of Histopathological ImageAnalytics. ISBI, 2021. PDF
47. PNEN: Pyramid Non-Local Enhanced Networks. TIP, 2020. PDF
48. Meta Corrupted Pixels Mining for Medical Image Segmentation. MICCAI, 2020. PDF
49. Towards Computational Analytics of 3D Neuron Images using Deep Adversarial Learning. Neurocomputing, 2020. PDF
50. Self-Enhanced Convolutional Network for Facial Video Hallucination. TIP, 2019. PDF
51. Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation. MICCAI, 2019. PDF
52. Piecewise Flat Embedding for Image Segmentation. TPAMI, 2019. PDF Code
55. Piecewise Flat Embedding for Image Segmentation. ICCV, 2015. PDF
56. Improved Techniques for Multi-view Registration with Motion Averaging. 3DV, 2014. PDF

Resources

Contact

  • 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126