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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. His email is: chaoweifang AT outlook.com.

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。他的电子邮箱是:chaoweifang AT outlook.com.

Research Topics

Publications

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

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