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]

https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRG-DBvVsxquqkwmL0eOLCIk0mi0tuMAXQJG8m9BdC6tCZXa-pB

The Hong Kong PhD Fellowship Program

"香港博士"项目

Papers&Codes

Positions


News

1.    Postdocs and Research Interns on Deep Learning, Lightweight Model, Backbone Architecture, Image Restoration/Enhancement, Segmentation, Depth Estimation, etc., are available at OPPO Research Institute. Please send me your CV if you have interest.

2.    I've been selected as a "Clarivate Analytics Highly Cited Researcher" from 2015 to 2022. (https://clarivate.com/hcr).

Newly accepted

1.    X. Li, S. Zhang, S. Zhou, L. Zhang, W. Zuo, "Learning Dual Memory Dictionaries for Blind Face Restoration," IEEE Trans. on Pattern Analysis and Machine Intelligence, to appear. (paper) (code)

2.    X. Zhang, H. Zeng, S. Guo, L. Zhang, "Efficient Long-Range Attention Network for Image Super-resolution," in ECCV 2022. (paper) (supp) (code) (An effective and efficient transformer architecture for image restoration.)

3.    J. Liang, H. Zeng, L. Zhang, "Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution," in ECCV 2022. (paper) (supp) (code) (Toward more practical and effective real-world super-resolution.)

4.    H. Yong and L. Zhang, "An Embedded Feature Whitening Approach to Deep Neural Network Optimization," in ECCV 2022. (paper) (supp) (code) (To make feature whitening much more practical for DNN optimization.)

5.    W. Xiang, C. Li, X. Wei, B. Wang, L. Zhang, "Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition," in ECCV 2022. (paper) (supp) (code) (A simple yet effective self-attention model for video based action recognition.)

6.    W. Li, W. Liu, J. Zhu, M. Cui, X. Hua, L. Zhang, "Box-supervised Instance Segmentation with Level Set Evolution," in ECCV 2022. (paper) (code) (New state-of-the-art for box-supervised instance segmentation.)

7.    H. Zheng, H. Yong, L. Zhang, "Unfolded Deep Kernel Estimation for Blind Image Super-resolution," in ECCV 2022. (paper) (supp) (code) (The first explicit unfolding solution for deep kernel estimation.)

8.    X. Li, C. Chen, X. Lin, W. Zuo, L. Zhang, "From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution," In ECCV 2022. (paper) (supp) (code) (Transfer facial image priors to natural image restoration.)