Selected Publications:
Summary: Vision: CVPR/ICCV/ECCV (36) + IEEE TPAMI (3) + IJCV (4) + NeurIPS (4) + ICLR (3) + AAAI/IJCAI/ACM MM (16)
+ IEEE Transactions (22: 2×TIP, 2×TVCG, 1×TCyb, 2×TNNLS, 5×TMM, 10×TCSVT).
Healthcare: MICCAI (28) + IEEE TMI (10) + Medical Image Analysis (7) + IEEE TBME (4) + IEEE JBHI (6).
2025:
45. VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image Segmentation,
Sicheng Yang, Zhaohu Xing, and Lei Zhu*,
To appear in NeurIPS, 2025.
44. CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival Prediction,
Haipeng Zhou, Sicheng Yang, Sihan Yang, Jing Qin, Lei Chen, and Lei Zhu*,
To appear in MICCAI, 2025.
43. Surgical-MambaLLM: Mamba2-enhanced Multimodal Large Language Model for VQLA in Robotic Surgery,
Pengfei Hao, Hongqiu Wang, Shuaibo Li, Zhaohu Xing, Guang Yang, Kaishun Wu, and Lei Zhu*,
To appear in MICCAI, 2025.
42. Toward Medical Deepfake Detection: A Comprehensive Dataset and Novel Method,
Shuaibo Li, Zhaohu Xing, Hongqiu Wang, Pengfei Hao, Xingyu Li, Zekai Liu, and Lei Zhu*,
To appear in MICCAI, 2025. (Oral)
41. HybridMamba: A Dual-domain Mamba for 3D Medical Image Segmentation,
Weitong Wu, Zhaohu Xing, Jing Gong, Qin Peng, and Lei Zhu*,
To appear in MICCAI, 2025. (Oral)
40. FSA-Net:Fractal-driven Synergistic Anatomy-aware Network for Segmenting White Line of Toldt in Laparoscopic Images,
Kecheng Wu, Zhaohu Xing, Zerong Cai, Feng Gao, Wenxue Li, and Lei Zhu*,
To appear in MICCAI, 2025.
39. Temporal Model-Based Federated Active Medical Image Classification,
Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Jinheng Xie, Jun Chen, Mohamed Elhoseiny, Ming Hu, Kaishun Wu, and Lei Zhu*,
To appear in MICCAI, 2025.
38. HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors,
Xincheng Yao, Yijun Yang, Kangwei Guo, Ruiqiang Xiao, Haipeng Zhou, Haisu Tao, Jian Yang, and Lei Zhu*,
To appear in MICCAI, 2025.
37. Source-Free Active Domain Adaptation for Efficient Medical Video Polyp Segmentation,
Jialu Li, Hongqiu Wang, Weiming Wang, Jing Qin, Qiong Wang*, and Lei Zhu*,
To appear in MICCAI, 2025.
36. Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization,
Huihui Xu, Huailiang Wang, Hongqiu Wang, Junzhi Ning, Lihao Liu, Ying Chen, Wei Li, Lei Zhu, Jiyao Liu, Xiaomeng Li, and Junjun He
To appear in MICCAI, 2025. (Spotlight)
35. Time-Lapse Video-Based Embryo Grading via Complementary Spatial-Temporal Pattern Mining,
Yong Sun, Yipeng Wang, Junyu Shi, Zhiyuan Zhang, Yanmei Xiao, Lei Zhu, Manxi Jiang, Qiang Nie,
To appear in MICCAI, 2025.
34. Farther Than Mirror: Explore Pattern-Compensated Depth of Mirror with Temporal Changes for Video Mirror Detection,
Zhaohu Xing, Lihao Liu, Tian Ye, Sixiang Chen, Yijun Yang, Guang Liu, and Lei Zhu*,
To appear in ACM MM, 2025.
33. Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis,
Jingjing Ren, Wenbo Li, Zhongdao Wang, Haoze Sun, Bangzhen Liu, Haoyu Chen, Jiaqi Xu, Aoxue Li, Shifeng Zhang, Bin Shao, Yong Guo, and Lei Zhu*,
To appear in ICCV, 2025.
32. GenHaze: Pioneering Controllable One-Step Realistic Haze Generation for Real-World Dehazing,
Sixiang Chen, Tian Ye, Yunlong Lin, Yeying Jin, Yijun Yang, Haoyu Chen, Jianyu Lai, Song Fei, Zhaohu Xing, Fugee Tsung, and Lei Zhu*,
To appear in ICCV, 2025.
31. Medical World Model,
Yijun Yang, Zhao-Yang Wang, Qiuping Liu, Shu Wen Sun, Kang Wang, Rama Chellappa, Zongwei Zhou, Alan Yuille, Lei Zhu*, Yu-Dong Zhang, Jieneng Chen*
To appear in ICCV, 2025. [Code]
30. Toward Fair and Accurate Cross-Domain Medical Image Segmentation: A VLM-Driven Active Domain Adaptation Paradigm,
Hongqiu Wang, Wu Chen, Xiangde Luo, Zhaohu Xing, Lihao Liu, Jing Qin, Shaozhi Wu, and Lei Zhu*,
To appear in ICCV, 2025.
29. GlassWizard: Harvesting Diffusion Priors for Glass Surface Detection,
Wenxue Li, Tian Ye, Xinyu Xiong, Jinbin Bai, Feilong Tang, Wenxuan Song, Zhaohu Xing, Lie Ju, Guanbin Li, and Lei Zhu*,
To appear in ICCV, 2025.
28. SnowMaster: Comprehensive Real-world Image Desnowing via MLLM with Multi-Model Feedback Optimization,
Jianyu Lai, Sixiang Chen, Yunlong Lin, Tian Ye, Yun Liu, Song Fei, Zhaohu Xing, Hongtao Wu, Weiming Wang, and Lei Zhu*,
In CVPR, pp. 4302-4312, 2025.
27. Detect Any Mirrors: Boosting Learning Reliability on Large-Scale Unlabeled Data with an Iterative Data Engine,
Zhaohu Xing, Lihao Liu, Yijun Yang, Hongqiu Wang, Tian Ye, Sixiang Chen, Wenxue Li, Guang Liu, and Lei Zhu*,
In CVPR, pp. 25476-25486, 2025.
26. A Simple Data Augmentation for Feature Distribution Skewed Federated Learning,
Yunlu Yan, Huazhu Fu, Yuexiang Li, Jinheng Xie, Jun Ma, Guang Yang, and Lei Zhu*,
In CVPR, pp. 25749-25758, 2025.
25. POSTA: A Go-to Framework for Customized Artistic Poster Generation,
Haoyu Chen, Xiaojie Xu, Wenbo Li, Jingjing Ren, Tian Ye, Songhua Liu, Ying-Cong Chen, Lei Zhu*, and Xinchao Wang
In CVPR, pp. 28694-28704, 2025.
24. RoGSplat: Learning Robust Generalizable Human Gaussian Splatting from Sparse Multi-View Images,
Junjin Xiao, Qing Zhang, Yongwei Nie, Lei Zhu, and Wei-Shi Zheng,
In CVPR, pp.5980-5990, 2025.
23. Federated Residual Low-Rank Adaptation of Large Language Models,
Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu, and Lei Zhu*,
In ICLR, 2025.
22. On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning,
Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Salman Khan, Yong Liu, and Lei Zhu*,
In ICLR, 2025.
21. Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis
Jinbin Bai, Tian Ye, Wei Chow, Enxin Song, Qing-Guo Chen, Xiangtai Li, Zhen Dong, Lei Zhu*, and Shuicheng Yan*,
In ICLR, 2025.
20. PromptHaze: Prompting Real-world Dehazing via Depth Anything Model
Tian Ye, Sixiang Chen, Haoyu Chen, Wenhao Chai, Jingjing Ren, Zhaohu Xing, Wenxue Li, and Lei Zhu*,
In AAAI, pp. 9454-9462, 2025.
19. Residual Diffusion Deblurring Model for Single Image Defocus Deblurring
Haoxuan Feng, Haohui Zhou, Tian Ye, Sixiang Chen, Haoran Xie, and Lei Zhu*,
In AAAI, pp. 2960-2968, 2025.
18. Towards Realistic Semi-supervised Medical Image Classification
Wenxue Li, Lie Ju, Feilong Tang, Peng Xia, Xinyu Xiong, Ming Hu, Lei Zhu*, and Zongyuan Ge.
In AAAI, pp. 4968-4976, 2025.
17. AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement
Yunlong Lin, Tian Ye, Sixiang Chen, Zhenqi Fu, Yingying Wang, Wenhao Chai, Zhaohu Xing, Lei Zhu, and Xinghao Ding,
In AAAI, pp. 5307-5315, 2025.
16. An eyecare foundation model for clinical assistance: a randomized controlled trial,
Y. Wu, B. Qian, T. Li, Y. Qin, Z. Guan, T. Chen, Y. Jia, P. Zhang, D. Zeng,......, L. Zhu, ......, Y. X. Wang, Y.-C. Tham, C.-Y. Cheng, T. Y. Wong, and B. Sheng,
Nature Medicine, 2025. [Code]
15. A Diffusion Embedded Network for Robust 3D Medical Image Segmentation
Zhaohu Xing, Liang Wan, Huazhu Fu, Guang Yang, Yijun Yang, Lequan Yu, Baiying Lei, and Lei Zhu*,
Medical Image Analysis, 103654, 2025.
14. SegMamba-V2: Long-range Sequential ModelingMamba For General 3D Medical Image
Zhaohu Xing, Tian Ye, Yijun Yang, Du Cai, Baowen Gai, Xiao-Jian Wu, Feng Gao, and Lei Zhu*,
To appear in IEEE TMI, 2025.
13. Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation with Selective State-Space Model
Hongqiu Wang, Yixian Chen, Wu Chen, Huihui Xu, Haoyu Zhao, Bin Sheng, Huazhu Fu, Guang Yang, and Lei Zhu*,
To appear in IEEE TMI, 2025. [Code]
12. DiffMIC-v2: Medical Image Classification via Improved Diffusion Network
Yijun Yang, Huazhu Fu, Angelica I. Aviles-Rivero, Zhaohu Xing, and Lei Zhu*,
IEEE TMI, Vol. 44, No. 5, pp.2244 - 2255, 2025. [Code]
11. Temporal Prompt Learning with Depth Memory for Video Mirror Detection
Zhaohu Xing, Tian Ye, Xin Yang, Sixiang Chen, Huazhu Fu, Yan Nei Law, and Lei Zhu*,
To appear in IEEE TMM, 2025.
10. Vivim: a Video Vision Mamba for Medical Video Segmentation
Yijun Yang, Zhaohu Xing, Lequan Yu, Huazhu Fu, Chunwang Huang, and Lei Zhu*,
To appear in IEEE TCSVT, 2025. [Code]
9. Enhancing Visual Reasoning with LLM-Powered Knowledge Graphs for Visual Question Localized-Answering in Robotic Surgery
Pengfei Hao, Hongqiu Wang, Guang Yang , and Lei Zhu*,
To appear in IEEE JBHI, 2025.
8. Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction
Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Ping Li, Rick Siow Mong Goh, Baiying Lei, Weiming Wang, David Dagan Feng, and Lei Zhu*,
IEEE JBHI, Vol. 29, No.8, pp. 5849-5861, 2025.
7. Unifying Physically-Informed Weather Priors in a Single Model for Image Restoration Across Multiple Adverse Weather Conditions
Jiaqi Xu, Xiaowei Hu, Lei Zhu, and Pheng-Ann Heng,
To appear in IEEE TCSVT, 2025.
6. Revisiting Medical Image Retrieval via Knowledge Consolidation
Yang Nan, Huichi Zhou, Xiaodan Xing, Giorgos Papanastasiou, Lei Zhu, Zhifan Gao, Alejandro F Fangi, Guang Yang
Medical Image Analysis,102: 103553, 2025.
5. Modality-aware Distillation Network for Microvascular Invasion Prediction of Hepatocellar Carcinoma from MRI Images
Yinghao Zhang, Hong Liu, Lei Zhu*, Huanhuan Chong, Huazhu Fu, Lequan Yu, Ping Li, Jing Qin, David Dagan Feng, and Liansheng Wang*.
IEEE Transactions on Biomedical Engineering (IEEE TBME), Vol. 72, No. 6, pp.1825 - 1836, 2025.
4. Norest-Net: Normal Estimation Neural Networks for 3D Noisy Point Cloud
Yingkui Zhang, Mingqiang Wei, Lei Zhu, Guibao Shen, Qiong Wang, and Jing Qin
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), Vol. 36, No. 2, pp.2246-2258, 2025.
3. S2P-Matching: Self-supervised Patch-based Matching Using Transformer for Capsule Endoscopic Images
Feng Lu, Dao Zhou, Haoyang Chen, Shuai Liu, Xianliang Ling, Lei Zhu, Tingting Gong, Bin Sheng, Ping Li, and David Dagan Feng
IEEE Transactions on Biomedical Engineering (IEEE TBME), Vol. 72, No. 2, pp.540 - 551, 2025.
2. Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey
Amer Essakine, Yanqi Cheng, Chun-Wun Cheng, Lipei Zhang, Zhongying Deng, Lei Zhu, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero
Accepted by Transactions on Machine Learning Research, 2025.
1. Triplane-Smoothed Video Dehazing with CLIP-Enhanced Generalization
Jingjing Ren, Tian Ye, Haoyu Chen, Hongtao Wu, and Lei Zhu*.
International Journal of Computer Vision (IJCV), Vol.133, pp. 475–488, 2025.
2024:
33. RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models
Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Sixiang Chen, Tian Ye, Renjing Pei, Kaiwen Zhou, Fenglong Song, and Lei Zhu*,
In NeurIPS, 2024. [Code]
32. UltraPixel: Advancing Ultra-High-Resolution Image Synthesis to New Peaks
Jingjing Ren*, Wenbo Li*, Haoyu Chen, Renjing Pei, Bin Shao, Yong Guo, Long Peng, and Lei Zhu*,
In NeurIPS, 2024. [Code]
31. Learning Diffusion Texture Priors for Image Restoration
Tian Ye, Sixiang Chen, Wenhan Chai, Zhaohu Xing, Jing Qin, Ge Lin, and Lei Zhu*,
In CVPR, pp. 2524-2534, 2024. (Highlight)
30. Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal
Yijun Yang, Hongtao Wu, Angelica Aviles-Rivero, Yulun Zhang, Jing Qin, and Lei Zhu*,
In CVPR, pp. 25606-25616, 2024. [Code]
29. Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Haoze Sun, Xueyi Zou, Youliang Yan, Zhensong Zhang, and Lei Zhu*,
In CVPR, pp. 25857-25867, 2024.
28. Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint
Sixiang Chen, Tian Ye, Kai Zhang, Zhaohu Xing, Yunlong Lin, and Lei Zhu*, [Code]
In ECCV, pp. 95-115, 2024.
27. Semi-Supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularization
Hongtao Wu, Yijun Yang, Angelica Aviles-Rivero, Jingjing Ren, Sixiang Chen, Haoyu Chen, and Lei Zhu*,
In ECCV, pp 70–89, 2024.
26. Two-Stage Video Shadow Detection via Temporal-Spatial Adaption
Xin Duan, Yu Cao, Lei Zhu, Gang Fu, Xin Wang, Renjie ZHANG, and Ping Li
In ECCV, pp 196–214, 2024.
25. OpenIn-s3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation
Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, Lei Zhu, and Joan Lasenby,
In ECCV, pp 169–185, 2024.
24. SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
Zhaohu Xing, Tian Ye, Yijun Yang, Guang Liu, and Lei Zhu*,
In MICCAI, pp. 578-588, 2024. (Early accept) (Spotlight) [Code]
23. LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos
Huihui Xu, Yijun Yang, Angelica Aviles-Rivero, Guang Yang, Jing Qin, and Lei Zhu*,
In MICCAI, pp. 667-677, 2024. (Early accept)
22. Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning,
Yingling Lu, Yijun Yang, Zhaohu Xing, Qiong Wang, and Lei Zhu*,
In MICCAI, pp. 165-175, 2024. (Early accept)
21. Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset,
Hongqiu Wang, Xiangde Luo, Wu Chen, Qinging Tang, Mei Xin, Qiong Wang, and Lei Zhu*,
In MICCAI, pp. 75-85, 2024. (Early accept)
20. Cross-conditioned Diffusion Model for Medical Image to Image Translation,
Zhaohu Xing, Sicheng Yang, Sixiang Chen, Tian Ye, Yijun Yang, Jing Qin, and Lei Zhu*.
In MICCAI, pp. 201-211, 2024.
19. A New Perspective to Boost Performance Fairness For Medical Federated Learning,
Yunlu Yan, Lei Zhu*, Yuexiang Li, Xinxing Xu, Rick Goh, Salman Khan, and Chun-Mei Feng.
In MICCAI, pp. 13-23, 2024.
18. RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining,
Hongtao Wu, Yijun Yang, Huihui Xu, Weiming Wang, Jinni Zhou, and Lei Zhu*,
In ACM MM, pp. 7881-7890, 2024. (Oral; Top 3.97%)
17. Timeline and Boundary Guided Diffusion Network for Video Shadow Detection,
Haipeng Zhou, Hongqiu Wang, Tian Ye, Zhaohu Xing, Jun Ma, Ping Li, Qiong Wang, and Lei Zhu*,
In ACM MM, pp. 166-175, 2024. (Oral; Top 3.97%)
16. Language-Driven Interactive Shadow Detection,
Hongqiu Wang, Wei Wang, Haipeng Zhou, Huihui Xu, Shaozhi Wu, and Lei Zhu*,
In ACM MM, pp. 5527-5536, 2024.
15. MCGMapper: Light-Weight Incremental Structure from Motion and Visual Localization With Planar Markers and Camera Groups
Yusen Xie, Zhenmin Huang, Kai Chen, Lei Zhu, and Jun Ma,
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 7885-7892, 2024. (Oral)
14. Dragtraffic: A Non-Expert Interactive and Point-Based Controllable Traffic Scene Generation Framework
Sheng Wang, Ge Sun, Fulong Ma, Tianshuai Hu, Yongkang Song, Lei Zhu, and Ming Liu,
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 7885-7892, 2024. (Oral)
13. ViDSOD-100: A New Dataset and A Baseline Model for RGB-D Video Salient Object Detection,
Junhao Lin, Lei Zhu*, Jiaxing Shen, Huazhu Fu, Qing Zhang, and Liansheng Wang
International Journal of Computer Vision (IJCV), Vol.132, pp. 5173–5191, 2024
12. Towards High-Resolution Specular Highlight Detection
Gang Fu, Qing Zhang, Lei Zhu, Qifeng Lin, Yihao Wang, Siyuan Fan, and Chunxia Xiao
International Journal of Computer Vision (IJCV), Vol. 132, pp. 95–117, 2024.
11. Video-Instrument Synergistic Network for Referring Video Object Segmentation in Surgical Videos
Hongqiu Wang, Guang Yang, Shichen Zhang, Jing Qin, Yike Guo, Bo Xu, Yueming Jin*, and Lei Zhu*
IEEE Transactions on Medical Imaging (IEEE TMI), Vol. 43, No. 12, pp. 4457-4469, 2024.
10. DSMT-Net: Dual Self-supervised Multi-operator Transformation for Multi-source Endoscopic Ultrasound Diagnosis
Jiajia Li, Pingping Zhang, Teng Wang, Lei Zhu, Ruhan Liu, Xia Yang, Kaixuan Wang, Dinggang Shen, and Bin Sheng
IEEE Transactions on Medical Imaging (IEEE TMI), Vol. 43, No. 1, pp. 64-75, 2024.
9. Hybrid Masked Image Modeling for 3D Medical Image Segmentation
Zhaohu Xing, Lei Zhu*, Lequan Yu, Zhiheng Xing, and Liang Wan*
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), Vol. 28, No. 4, pp.2115-2125, 2024.
8. Cross-Modal Vertical Federated Learning for MRI Reconstruction
Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu*, Yong Xu, Yuexiang Li*, Yefeng Zheng
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), Vol. 28, No. 11, pp.6384-6394, 2024.
7. Cascaded Inner-Outer Clip Retformer for Ultrasound Video Object Segmentation
Jialu Li, Lei Zhu, Baoliang Zhao, Ying Hu, Faqin Lv, and Qiong Wang
To appear in IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2024.
6. Learning Motion-guided Multi-scale Memory Features for Video Shadow Detection,
Junhao Lin, Jiaxing Shen, Xin Yang, Huazhu Fu, Qing Zhang, Ping Li, Bin Sheng, Liansheng Wang, and Lei Zhu*,
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol. 34, No. 12, pp.12288-12300, 2024.
5. Learning Physical-Spatio-Temporal Features for Video Shadow Removal
Zhihao Chen, Liang Wan, Yefan Xiao, Lei Zhu, and Huazhu Fu
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol. 34, No. 7, pp.5830-5842, 2024.
4. Overcoming Modality Bias in Question-Driven Sign Language Video Translation
Liqing Gao, Peng Shi, Lei Zhu, Junfu Pu, Liang Wan, and Wei Feng
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol. 34, No. 11, pp.11724-11738, 2024.
3. Self-mining the Confident Prototypes for Source-Free Unsupervised Domain Adaptation in Image Segmentation
Yuntong Tian, Jiaxi Li, Huazhu Fu, Lei Zhu, Lequan Yu, Liang Wan
IEEE Transactions on Multimedia (IEEE TMM), Vol. 26, pp. 7709-7720, 2024.
2. Unsupervised Fusion Feature Matching for Data Bias in Uncertainty Active Learning
Wei Huang, Shuzhou Sun, Xiao Lin, Ping Li, Lei Zhu, Jihong Wang, C. L. Philip Chen, and Bin Sheng
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 35, No.4, pp. 5749-5763, 2024.
1. Non-Invasive to Invasive: Enhancing Fundus Fluorescein Angiography Synthesis from Color Fundus Photographs with a New Dataset and a Baseline Network
Hongqiu Wang, Zhaohu Xing, Weitong Wu, Yijun Yang, Qingqing Tang, Meixia Zhang, Yanwu Xu, and Lei Zhu,
1st International Workshop on Multimedia Computing for Health and Medicine, pp. 7-15, ACM MM, 2024. (Best Paper Award)
2023:
20. Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation,
Yijun Yang, Angelica Aviles-Rivero, Ye Liu, Huazhu Fu, Weiming Wang, and Lei Zhu*,
In ICCV, pp. 13200-13210, 2023. [Code]
19. Snow Removal in Video: A New Dataset and A Novel Method,
Haoyu Chen, Jingjing Ren, Jinjin Gu, Hongtao Wu, Xuequan Lu, Haoming Cai, and Lei Zhu*,
In ICCV, pp. 13211-13222, 2023. [Code]
18. Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks,
Sixiang Chen, Tian Ye, Jinbin Bai, Erkang Chen, Shi Jun, and Lei Zhu*,
In ICCV, pp. 13106-13117, 2023. [Code]
17. Towards High-quality Specular Highlight Removal by Leveraging Large-scale Synthetic Data
Gang Fu, Qing Zhang, Lei Zhu, Chunxia Xiao, and Ping Li,
In ICCV, pp. 12857-12865, 2023.
16. Masked Image Pre-training for Generalizable Image Denoising,
Haoyu Chen, Jinjin Gu, Yihao Liu, Salma Abdel Magid, Chao Dong, Qiong Wang, Hanspeter Pfister, and Lei Zhu*,
In CVPR, pp. 1692-1703, 2023. [Code]
15. Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior,
Jiaqi Xu, Xiaowei Hu*, Lei Zhu*, Qi Dou, Jifeng Dai, Yu Qiao, and Pheng-Ann Heng,
In CVPR, pp. 18053-18062, 2023. [Code]
14. SCOTCH and SODA: A Transformer Video Shadow Detection Framework,
Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Lio, Carola-Bibiane Schönlieb, and Angelica I Aviles-Rivero,
In CVPR, pp. 10449-10458, 2023. [Code]
13. Mask-Guided Progressive Network for Joint Raindrop and Rain Streak Removal in Videos
Hongtao Wu, Yijun Yang, Haoyu Chen, Jingjing Ren, and Lei Zhu*,
In ACM MM, Pages 7216–7225, 2023.
12. Uncertainty-Driven Dynamic Degradation Perceiving and Background Modeling for Efficient Single Image Desnowing
Sixiang Chen, Tian Ye, Chenghao Xue, Haoyu Chen, Yun Liu, Erkang Chen, and Lei Zhu*,
In ACM MM, Pages 4269–4280, 2023.
11. DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
Yijun Yang, Huazhu Fu, Angelica Aviles-Rivero, Carola-Bibiane Schönlieb, Lei Zhu*,
In MICCAI, pp. 95-105, 2023. (Early accept)
10. Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos
Junhao Lin, Qian Dai, Lei Zhu*, Huazhu Fu, Qiong Wang, Weibin Li, Wenhao Rao, Xiaoyang Huang, and Liansheng Wang,
In MICCAI, pp. 497-507, 2023. (Oral)
9. Dynamic Interactive Relation Capturing via Scene Graph Learning for Robotic Surgical Report Generation
Hongqiu Wang, Yueming Jin, and Lei Zhu*,
In IEEE International Conference on Robotics and Automation (IEEE ICRA), pp. 2702-2709, 2023.
8. S3Net: Self-supervised Self-ensembling Network for Semi-supervised RGB-D Salient Object Detection
Lei Zhu, Xiaoqiang Wang, Ping Li, Xin Yang, Qing Zhang, Weiming Wang, Carola-Bibiane Sch\"{o}nlieb, and C. L. Philip Chen.
IEEE Transactions on Multimedia (IEEE TMM), Vol. 25, pp. 677 – 689, 2023.
7. Deep Texture-Aware Features for Camouflaged Object Detection
Jingjing Ren, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Yangyang Xu, Weiming Wang, Zijun Deng, and Pheng-Ann Heng
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 33, No. 3, pp. 1157-1167, 2023.
6. Learning to Remove Shadows from a Single Image
Hao Jiang, Qing Zhang, Yongwei Nie, Lei Zhu, and Wei-Shi Zheng
International Journal of Computer Vision (IJCV), 131, pp. 2471–2488, 2023.
5. MNGNAS: Distilling Adaptive Combination of Multiple Searched Networks for One-Shot Neural Architecture Search
Zhihua Chen, Guhao Qiu, Ping Li, Lei Zhu, Xiaokang Yang, and Bin Sheng
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Volume 45, Issue 11, pp. 13489-13508, 2023.
4. Multi-modal Learning for Predicting Genotypes of Glioma
Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Stephen Price, Carola-Bibiane Schönlieb, and Chao Li,
IEEE Transactions on Medical Imaging (IEEE TMI), Vol. 42, No. 11, pp. 3167-3178, 2023.
3. Fine-grained and Multi-class Classification for Alzheimer's Disease with Wavelet Convolution Unit Network,
Jinyu Wen, Yang Li, Meie Fang, Lei Zhu, Ping Li, and David Dagan Feng,
IEEE Transactions on Biomedical Engineering (IEEE TBME), Vol. 70, No. 9, pp. 2592-2603, 2023.
2. Uncertainty-aware Multi-dimensional Mutual Learning for Brain and Brain Tumor Segmentation,
Junting Zhao, Zhaohu Xing, Zhihao Chen, Liang Wan, Tong Han, Huazhu Fu, and Lei Zhu.
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), Vol. 27, No. 9, pp.4362-4372, 2023.
1. Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19
Liansheng Wang, Jiacheng Wang, Lei Zhu*, Huazhu Fu, Ping Li, Gary Cheng, Zhipeng Feng, Shuo Li, and Pheng-Ann Heng.
IEEE Transactions on Cybernetics (TCyb), Vol. 35, No. 10, pp. 6363–6375, 2023. [Code]
2022:
17. Rethinking Video Rain Streak Removal: A New Synthesis Model and A Deraining Network with Video Rain Prior
Shuai Wang, Lei Zhu#, Huazhu Fu, Jing Qin, Carola-Bibiane Schönlieb, Wei Feng, and Song Wang
In ECCV, pp. 565-582, 2022. [Poster] [Code]
16. Phase-based Memory Network for Video Dehazing
Ye Liu, Liang Wan, Huazhu Fu, Jing Qin, Lei Zhu.
In ACM MM, pp. 5427-5435, 2022.
15. Video Instance Lane Detection via Deep Temporal and Geometry Consistency Constraints
Mingqian Wang, Yujun Zhang, Wei Feng, Lei Zhu, Song Wang.
In ACM MM, pp. 2324-2332, 2022.
14. ICBNet: Iterative Context-Boundary Feedback Network for Polyp Segmentation
Yefan Xiao, Zhihao Chen, Liang Wan, Lequan Yu, and Lei Zhu.
In IEEE BIBM, pp. 1297-1304, 2022.
13. A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos
Zhi Lin, Junhao Lin, Lei Zhu#, Huazhu Fu, Jing Qin, and Liansheng Wang
In MICCAI, pp.614–623, 2022. [Code] [Dataset]
12. Rethinking Breast Lesion Segmentation in Ultrasound: A New Video Dataset and A Baseline Network
Jialu Li, Qingqing Zheng, Mingshuang Li, Ping Liu, Qiong Wang, Litao Sun, and Lei Zhu.
In MICCAI, pp. 391–400, 2022.
11. NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation
Zhaohu Xing, Lequan Yu, Liang Wan, Tong Han, and Lei Zhu.
In MICCAI, pp. 140–150, 2022. [Code]
10. Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning
Tianling Liu, Wennan Liu, Lequan Yu, Liang Wan, Tong Han, and, Lei Zhu.
In MICCAI, pp.355--365, 2022. [Code]
9. Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image Classification
Zhonghang Zhu, Liansheng Wang, Baptiste Magnier, Lei Zhu, Defu Zhang, and Lequan Yu.
In MICCAI, pp.604--613, 2022.
8. RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
Xiaoxiao Liang, Yiqun Lin, Huazhu Fu, Lei Zhu, Xiaomeng Li
In CVPR, pp. 10154-10163, 2022.
7. Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images
Xiaoqiang Wang, Lei Zhu, Siliang Tang, Huazhu Fu, Ping Li, Fei Wu, Yi Yang, and Yueting Zhuang
IEEE Transactions on Image Processing (TIP), Vol.31, pp. 1107 - 1119, 2022. [Code]
6. Mixed-weight Neural Bagging for Detecting m$^{6}$A Modifications in SARS-CoV-2 RNA Sequencing
Ruhan Liu, Liang Ou, Bin Sheng, Ping Li, ..., Lei Zhu, ... and David Dagan Feng
IEEE Transactions on Biomedical Engineering (TBME), Vol. 69, No.8, pp. 2557-2568, 2022.
5. A Blind Color Separation Model for Faithful Palette-based Image Recoloring
Qing Zhang, Yongwei Nie, Lei Zhu, Chunxia Xiao, and Wei-Shi Zheng
IEEE Transactions on Multimedia (TMM), Vol. 24, pp. 1545–1557, 2022.
4. Fast Camouflaged Object Detection via Edge-based Reversible Recalibration Network
Ge-Peng Ji, Lei Zhu, Mingchen Zhuge, and Keren Fu
Pattern Recognition (PR), Vol. 123, 108414, 2022. [Code]
3. Unsupervised Intrinsic Image Decomposition Using Internal Self-similarity Cues
Qing Zhang, Jin Zhou, Lei Zhu, Wei Sun, Chunxia Xiao, and Wei-Shi Zheng
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 44, No. 12, pp. 9669–9686, 2022.
2. Multi-View Fusion for Sign Language Recognition through Knowledge Transfer Learning
Liqing Gao, Lei Zhu, Senhua Xue, Liang Wan, Ping Li, and Wei Feng
ACM SIGGRAPH VRCAI, Article No.: 1, pp. 1-9, 2022. [Best Paper Award]
1. 3DCMM: 3D Comprehensive Morphable Models for Accurate Head Completion
Jie Zhang, Yan Luximon, Lei Zhu, and Ping Li
ACM SIGGRAPH VRCAI, Article No.: 13, pp. 1–8, 2022. [Best Presentation Award]
2021:
12. VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection
Yujun Zhang^, Lei Zhu^, Wei Feng, Huazhu Fu, Mingqian Wang, Qingxia Li, Cheng Li, and
Song Wang (^ joint 1st authors), In ICCV, pp. 15681-15690, 2021. [GitHub] [Dataset]
11. Triple-cooperative Video Shadow Detection
Zhihao Chen, Liang Wan, Lei Zhu#, Jia Shen, Huazhu Fu, Wennan Liu, and Jing Qin
In CVPR, pp. 2715-2724, 2021. [GitHub] [Dataset]
10. A Multi-Task Network for Joint Specular Highlight Detection and Removal
Gang Fu, Qing Zhang, Lei Zhu, Ping Li, and Chunxia Xiao
In CVPR, pp. 7752-7761, 2021. [GitHub]
9. From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data
Ye Liu^, Lei Zhu^, Shunda Pei, Huazhu Fu, Jing Qin, Qing Zhang, Liang Wan, and Wei Feng (^ joint 1st authors)
In ACM MM, pp. 50-58, 2021. [GitHub] (Oral)
8. Boundary-aware Transformers for Skin Lesion Segmentation
Jiacheng Wang, Wei Lan, Liansheng Wang, Qichao Zhou, Lei Zhu, and Jing Qin
In MICCAI, pp. 206-216, 2021. [GitHub]
7. Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images
Cheng Xue, Lei Zhu#, Huazhu Fu, Xiaowei Hu, Xiaomeng Li, Hai Zhang, and Pheng-Ann Heng
Medical Image Analysis (Media), Vol.70, 101989, 2021. [GitHub]
6. Single-Image Real-Time Rain Removal Based on Depth-Guided Non-Local Features
Xiaowei Hu, Lei Zhu#, Tianyu Wang, Chi-Wing Fu, and Pheng-Ann Heng
IEEE Transactions on Image Processing (TIP), Vol. 30, pp. 1759 - 1770, 2021. [GitHub]
5. DNF-Net: a Deep Normal Filtering Network for Mesh Denoising
Xianzhi Li, Ruihui Li, Lei Zhu, Chi-Wing Fu, and Pheng-Ann Heng
IEEE Transactions on Visualization and Computer Graphics (TVCG), Vol. 27, No.10, pp.4060-4072, 2021.
4. Deep Sub-region Network for Salient Object Detection
Liansheng Wang, Rongzhen Chen, Lei Zhu#, Haoran Xie, and Xiaomeng Li
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 31, No. 2, pp. 728-741, 2021. [GitHub]
3. SAC-Net: Spatial Attenuation Context for Salient Object Detection
Xiaowei Hu, Chi-Wing Fu, Lei Zhu#, Tianyu Wang, and Pheng-Ann Heng
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 31, No. 3, pp. 1079-1090, 2021. [GitHub]
2. Learning Gated Non-local Residual for Single-image Rain Streak Removal
Lei Zhu, Zijun Deng, Xiaowei Hu, Haoran Xie, Xuemiao Xu, Jing Qin, and Pheng-Ann Heng
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 31, No. 6, pp. 2147–2159, 2021.
1. Comparative validation of multi-instance instrument segmentation in endoscopy: results of the ROBUST-MIS 2019 challenge
Tobias Ro, ... Lei Zhu, ... Medical Image Analysis (MIA), Vol.70, 101920, 2021.
2020:
1. A Multi-task Mean Teacher for Semi-supervised Shadow Detection
Zhihao Chen^, Lei Zhu^, Liang Wan, Song Wang, Wei Feng, and Pheng-Ann Heng (^ joint 1st authors)
2. A Second-order Subregion Pooling Network for Breast Ultrasound Lesion Segmentation
Lei Zhu, Rongzhen Chen, Huazhu Fu, Cong Xie, Liansheng Wang, Liang Wan, and Pheng-Ann Heng
In MICCAI, pp. 160–170, 2020.
3. Shape Mask Generator: Learning to Refine Shape Priors for Segmenting Overlapping Cervical Cytoplasms
Youyi Song, Lei Zhu, Baiying Lei, Bin Sheng, Qi Dou, Jing Qin, and Kup-Sze Choi
In MICCAI, pp. 639–649, 2020.
4. Learning to Detect Specular Highlights from Real-world Images
Gang Fu, Qing Zhang, Qifeng Lin, Lei Zhu, Chunxia Xiao
In ACM Multimedia ( ACM MM ), pp. 1873–1881, 2020.
5. Enhancing Underexposed Photos using Perceptually Bidirection Similarity
Qing Zhang, Yongwei Nie, Lei Zhu, Chunxia Xiao, and Wei-Shi Zheng
IEEE Transactions on Multimedia (TMM), Vol. 23, pp. 189–202, 2020.
6. $\Psi$-Net: Stacking Densely Convolutional LSTMs for Sub-cortical Brain Structure Segmentation
Lihao Liu, Xiaowei Hu, Lei Zhu#, Chi-Wing Fu, Jing Qin, and Pheng-Ann Heng
IEEE Transactions on Medical Imaging (TMI), Vol. 39, No. 9, pp. 2806–2817, 2020. [GitHub]
7. Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading
Xiaomeng Li, Xiaowei Hu, Lequan Yu, Lei Zhu, Chi-Wing Fu, and Pheng-Ann Heng
IEEE Transactions on Medical Imaging (TMI), Vol. 39, No. 5, pp. 1483–1493, 2020.
8. Saliency-aware Texture Smoothing
Lei Zhu, Xiaowei Hu, Chi-Wing Fu, Jing Qin, and Pheng-Ann Heng
IEEE Transactions on Visualization and Computer Graphics (TVCG), Vol. 26, No. 7, pp. 2471–2484, 2020.
9. Aggregating Attentional Dilated Features for Salient Object Detection
Lei Zhu, Jiaxing Chen, Xiaowei Hu, Chi-Wing Fu, Xuemiao Xu, Jing Qin, and Pheng-Ann Heng
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT),
Vol. 30, No. 10, pp. 3358–3371, 2020. [GitHub]
10. Direction-aware Spatial Context Features for Shadow Detection and Removal
Xiaowei Hu, Chi-Wing Fu, Lei Zhu#, Jing Qin, and Pheng-Ann Heng
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),
Vol. 42, No. 11, pp. 2795–2808, 2020. [GitHub]
2019:
1. Deep Multi-Model Fusion for Single-Image Dehazing
Zijun Deng^, Lei Zhu^, Xiaowei Hu, Chi-Wing Fu, Xuemiao Xu, Qing Zhang, Jing Qin,
and Pheng-Ann Heng (^ joint 1st authors) [GitHub] [Code]
In ICCV, pp. 2453–2462, 2019.
2. Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration
Lihao Liu, Xiaowei Hu, Lei Zhu#, and Pheng-Ann Heng
In MICCAI, pp. 346–354, 2019.
3. Depth-attentional Features for Single-image Rain Removal
Xiaowei Hu, Chi-Wing Fu, Lei Zhu#, and Pheng-Ann Heng
In CVPR, pp. 8022–8031, 2019
4. Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Adaptive Shape Priors Extracted from Contour Fragments
Youyi Song, Lei Zhu, Jing Qin, Baiying Lei, Bin Sheng, and Kup-Sze Choi
IEEE Transaction on Medical Imaging (TMI), Vol. 38, No. 12, pp. 2849–2862, 2019
5. Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
Yi Wang, Haoran Dou, Xiaowei Hu, Lei Zhu, Xin Yang, Jing Qin, Pheng-Ann Heng, Tianfu Wang, and Dong Ni
IEEE Transaction on Medical Imaging (TMI), Vol. 38, No. 12, pp. 2768–2778, 2019
2018:
1. Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection
Lei Zhu, Zijun Deng, Xiaowei Hu, Chi-Wing Fu, Xuemiao Xu, Jing Qin, and Pheng-Ann Heng
In ECCV, pp. 121–136, 2018. [Github] [Paper]
2. Direction-aware Spatial Context Features for Shadow Detection
Xiaowei Hu^, Lei Zhu^, Chi-Wing Fu, Jing Qin, and Pheng-Ann Heng (^ joint 1st authors)
In CVPR, pp. 7454–7462, 2018. (Oral) [Github]
3. Recurrently Aggregating Deep Features for Salient Object Detection
Xiaowei Hu^, Lei Zhu^, Jing Qin, Chi-Wing Fu, and Pheng-Ann Heng (^ joint 1st authors)
In AAAI Conference on Artificial Intelligence (AAAI), pp. 6943–6950, 2018. (Spotlight) [Github]
4. Non-Local Low-Rank Normal Filtering for Mesh Denoising
XianZhi Li, Lei Zhu, Chi-Wing Fu and Pheng-Ann Heng
Computer Graphics Forum (special issue on Pacific Graphics 2018), Vol. 37, No. 7, pp. 155–166, 2018. [Github]
5. R^3Net: Recurrent Residual Refinement Network for Saliency Detection
Zijun Deng, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Jing Qin, Guoqiang Han, and Pheng-Ann Heng
In International Joint Conference on Artificial Intelligence (IJCAI), pp. 684–690, 2018. [Github]
6. Attentional Features for Prostate Segmentation in Ultrasound
Yi Wang, Zijun Deng, Xiaowei Hu, Lei Zhu#, Xin Yang, Xuemiao Xu, Pheng-Ann Heng, and Dong Ni.
In MICCAI, pp. 523–530, 2018. [Github]
7. High-Quality Exposure Correction of Underexposed Photos
Qing Zhang, Ganzhao Yuan, Chunxia Xiao, Lei Zhu, and Wei-Shi Zheng
In ACM International Conference on Multimedia (ACM MM), pp. 582–590, 2018. [Github]
Before 2018:
1. Joint Bi-layer Optimization for Single-image Rain Streak Removal
Lei Zhu, Chi-Wing Fu, Dani Lischinski, and Pheng-Ann Heng
In International Conference on Computer Vision (ICCV), pp. 2526–2534, 2017.
2. A Non-Local Low-Rank Framework for Ultrasound Speckle Reduction
Lei Zhu, Chi-Wing Fu, Michael S. Brown, and Pheng-Ann Heng
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5650–5658, 2017. [Homepage]
3. Non-Local Sparse and Low-Rank Regularization for Structure-Preserving Image Smoothing
Lei Zhu, Chi-Wing Fu, Yueming Jin, Mingqiang Wei, Jing Qin, and Pheng-Ann Heng
Computer Graphics Forum (special issue on Pacific Graphics 2016), 35(7), 2016. [Homepage]
4. Coarse-to-Fine Normal Filtering for Feature‐Preserving Mesh Denoising Based on Isotropic Subneighborhoods
Lei Zhu, Mingqiang Wei, Jinze Yu, Weiming Wang, Jing Qin, and Pheng-Ann Heng
Computer Graphics Forum (special issue on Pacific Graphics 2013), 32(7): 371–380, 2013.