Lei Zhang

Chair Professor of Computer Vision and Image Analysis

Fellow of IEEE
Department of Computing
The Hong Kong Polytechnic University
Hung Hom, Kowloon, Hong Kong

Office: PQ816
Email: cslzhang at comp.polyu dot edu.hk

I am also with OPPO Research Institute.

Education

3/1998~10/2001

PhD

Dept. of Automatic Control, Northwestern Polytechnical University, Xi'an, China.

9/1995~3/1998

M.Sc

Dept. of Automatic Control, Northwestern Polytechnical University, Xi'an, China.

9/1991~7/1995

B.Sc

Dept. of Aeronautical Engineering, Shenyang Inst. of Aeronautical Engineering, Shenyang, China.


Work Experience

7/2017~present

Chair Professor, Dept. of Computing, Hong Kong Polytechnic University, Hong Kong.

7/2015~6/2017

Professor, Dept. of Computing, Hong Kong Polytechnic University, Hong Kong.

9/2010~6/2015

Associate Professor, Dept. of Computing, Hong Kong Polytechnic University, Hong Kong.

1/2006~8/2010

Assistant Professor, Dept. of Computing, Hong Kong Polytechnic University, Hong Kong.

1/2003~1/2006

Postdoctoral Fellow, Dept. of Electrical and Computer Engineering, McMaster University, Canada.

1/2001~1/2003

Research Assistant/Associate, Dept. of Computing, Hong Kong Polytechnic University, Hong Kong.


Visual Computing Lab (our mission):

Y learning and beyond: for future visual enhancement and understanding.

 

My Google Scholar Citation Profile:

http://scholar.google.com/citations?user=tAK5l1IAAAAJ


http://t3.gstatic.com/images?q=tbn:ANd9GcSHajD6zIxvR7ORoWo3YUt1I4QtdrnCXbMSavwRvV19gHyDytAfYgMC900297235[1]

Papers&Codes


News

1.    "Restore Any Image Model (RAIM) in the Wild: An NTIRE Challenge in Conjunction with CVPR 2024" is ongoing!!! Please visit here for details and participation!

2.    PhD Student, Research Assistant/Associate and Postdoc positions on Image/Video Restoration/Enhancement, Diffusion Models, Vision-Language Models, Segmentation, etc., are available. Please send me your CV if you have interest.

3.    Research Interns on Diffusion Models, Vision-Language Models, Image Enhancement, Segmentation, etc., are available at OPPO Research Institute. Please send me your CV if you have interest.

4.    I've been selected as a "Clarivate Analytics Highly Cited Researcher" from 2015 to 2023. (https://clarivate.com/hcr).

Preprint

1.    L. Sun, R. Wu, Z. Zhang, H. Yong, L. Zhang, "Improving the Stability of Diffusion Models for Content Consistent Super-Resolution," preprint. (paper) (code)

2.    R. Wu, T. Yang, L. Sun, Z. Zhang, S. Li, L. Zhang, "SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution," preprint. (paper) (code) (See also the related work of PASD.)

3.    X. Kong, C. Dong, L. Zhang, "Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy," preprint. (paper) (code&data)

4.    X. Yang, C. He, J. Ma, L. Zhang, "Motion-Guided Latent Diffusion for Temporally Consistent Real-World Video Super-Resolution," preprint. (paper) (code)

5.    Z. Zhang, R. Li, S. Guo, Y. Cao, L. Zhang, "TMP: Temporal Motion Propagation for Online Video Super-Resolution," preprint. (paper) (code)

6.    C. He, R. Li, G. Zhang, L. Zhang, "ScatterFormer: Efficient Voxel Transformer with Scattered Attention," preprint. (paper) (code)

7.    Y. Yuan, W. Li, J. Liu, D. Tang, X. Luo, C. Qin, L. Zhang and J. Zhu, "Osprey: Pixel Understanding with Visual Instruction Tuning," preprint. (paper) (code)

8.    S. Li, M. Li, P. Wang, L. Zhang, "OpenSD: Unified Open-Vocabulary Segmentation and Detection," preprint. (paper) (code)

Newly accepted

1.      W. Li, Y. Yuan, S. Wang, W. Liu, D. Tang, J. Liu, J. Zhu, L. Zhang, "Label-efficient Segmentation via Affinity Propagation," in NeurIPS 2023. (paper) (code)

2.      Y. Wei, Y. Zhang, Z. Ji, J. Bai, L. Zhang, W. Zuo, "ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation," in ICCV 2023. (paper) (supp) (code) (Oral presentation)

3.      J. Ma, Z. Liang, W. Xiang, X. Yang, L. Zhang, "A Benchmark for Chinese-English Scene Text Image Super-resolution," in ICCV 2023. (paper) (supp) (code&dataset)

4.      W. Li, Y. Yuan, S. Wang, J. Zhu, J. Li, J. Liu, L. Zhang, "Point2Mask: Point-supervised Panoptic Segmentation via Optimal Transport," in ICCV 2023. (paper) (supp) (code)

5.      W. Xiang, C. Li, Y. Zhou, B. Wang, L. Zhang, "Generative Action Description Prompts for Skeleton-based Action Recognition," in ICCV 2023. (paper) (supp) (code)

6.      L. Chen, C. Lei, R. Li, S. Li, Z. Zhang, L. Zhang, "FPR: False Positive Rectification for Weakly Supervised Semantic Segmentation," in ICCV 2023. (paper) (code)

7.      Y. Yuan, Y. Wang, L. Wang, X. Zhao, H. Lu, Y. Wang, W. Su, L. Zhang, "Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation," in ICCV 2023. (paper) (code)

8.      Y. Cui, G. Pan, J. Yang, L. Zhang, L. Yan, B. Wang, "Multiple-bounce Smith Microfacet BRDFs using the Invariance Principle," Siggraph Asia 2023. (paper) (supp) (code)