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.

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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.

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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

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		The Hong Kong PhD Fellowship Program "香港博士"项目
Papers&Codes	Positions

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News

1. Some PhD positions on Low-level Vision and Computational Photography are available. Please send me your CV if you have interest.

2. 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.

3. I've been selected as a "Clarivate Analytics Highly Cited Researcher" from 2015 to 2021. (https://clarivate.com/hcr).

Preprint

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

2. M. Li and L. Zhang, "One-stage Video Instance Segmentation: From Frame-in Frame-out to Clip-in Clip-out," preprint. (paper) (code) (From FiFo to CiCo: A new framework for video instance segmentation.)

3. X. Zhang, H. Zeng, S. Guo, L. Zhang, "Efficient Long-Range Attention Network for Image Super-resolution," preprint. (paper) (code) (An effective and efficient architecture for super-resolution.)

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

5. T. Yang, P. Ren, X. Xie, X. Hua, L. Zhang, "Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image Transition," preprint. (paper) (code) (A unified framework to various continuous image transition problems.)

6. J. Ma, S. Guo, L. Zhang, "Text Prior Guided Scene Text Image Super-Resolution," preprint. (paper) (code) (Text images can be much better enhanced than what you think.)

Newly accepted

1. J. Liang, H. Zeng, L. Zhang, "Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution," in CVPR 2022. (oral presentation) (paper) (code) (We make the GAN-based super-resolution models much more robust!)

2. Y. Zhang, M. Li, R. Li, K. Jia, L. Zhang, "Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization," in CVPR 2022. (oral presentation) (paper) (code) (A simple yet very effective step toward feature statistics learning.)

3. S. Li, C. He, R. Li, L. Zhang, "A Dual Weighting Label Assignment Scheme for Object Detection," in CVPR 2022. (paper) (code) (A flexible weighting scheme to both positive and negative samples.)

4. B. Chen, P. Li, X. Chen, B. Wang, L. Zhang, X-S. Hua, "Dense Learning based Semi-Supervised Object Detection," in CVPR 2022. (paper) (code) (The first anchor-free semi-supervised object detector.)

5. C. He, L. Zhang, "Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds," in CVPR 2022. (paper) (code) (A set-to-set transformer built upon voxel.)

6. R. Li, S. Li, C. He, Y. Zhang, X. Jia, L. Zhang, "Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation," in CVPR 2022. (paper) (code)

7. S. Guo, X. Yang, J. Ma, G. Ren, L. Zhang, "A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift," in CVPR 2022. (paper) (code)

8. J. Ma, Z. Liang, L. Zhang, "A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution," in CVPR 2022. (paper) (code)

9. Z. Yue, Q. Zhao, J. Xie, L. Zhang, D. Meng, Kwan-Yee K. Wong, "Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel," in CVPR 2022. (paper) (code)

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PhD Students Supervised

ZHANG Lin	Biometrics, Computer Vision and Image Processing	Graduated in 2011
PENG Bo	Image Segmentation and Graph-based Optimization	Graduated in 2011
XIE Jin	Texture Classification, Dictionary Learning and Sparse Representation	Graduated in 2012
YANG Meng	Face Recognition, Sparse Representation and Computer Vision	Graduated in 2012
ZHANG Kaihua	Visual Tracking, Image Segmentation and Level Set Methods	Graduated in 2013
ZHU Pengfei	Metric Learning, Computer Vision and Pattern Classification	Graduated in 2014
GU Shuhang	Image Restoration, Computer Vision, Low Rank and Matrix Factorization	Graduated in 2017
XU Jun	Sparse and Low Rank Methods, Computer Vision, Machine Learning	Graduated in 2018
CAI Sijia	Machine Learning, Computer Vision	Graduated in 2018
LI Hui	HDR Imaging, Multiple Exposure Fusion	Graduated in 2019
CAI Jianrui	Image and Video Enhancement, Deep Learning, Camera Pipeline	Graduated in 2020
YANG Lingxiao	Visual Tracking, Deep Learning	Graduated in 2019
XIAO Jin	Color Constancy, Image and Video Restoration	Graduated in 2021
LI Lida	Face Analysis, Deep Learning	Graduated in 2021
ZENG Hui	Deep Learning, Image Quality/Aesthetics Assessment	Graduated in 2021
LIANG Zhetong	Computational Imaging, Camera ISP	Graduated in 2021
XIANG Wangmeng	Deep Learning, Person ReID	Expected to graduate in 2022
ZHANG Xindong	Computer Vision, Intelligent Transportation	Expected to graduate in 2022
LI Shuai	Deep Learning, Object Detection	Expected to graduate in 2022
YONG Hongwei	Deep Learning, Image Modeling	Graduated in 2022
ZHENG Hongyi	Deep Learning, Computer Vision	Expected to graduate in 2022
HE Chenhang	3D Object Detection, Deep Learning	Expected to graduate in 2022
GUO Shi	Image/Video Restoration, Camera ISP	Expected to graduate in 2023
YANG Xi	Image/Video Enhancement, Camera ISP	Expected to graduate in 2023
LIANG Jie	Computational Photography, Image-to-Image Translation, Style Transfer	Expected to graduate in 2023
LI Minghan	Image/Video Segmentation	Expected to graduate in 2023
Ying Sun	Deep Neural Network Optimization	Expected to graduate in 2023
Jianqi Ma	Image Enhancement, Deep Learning	Expected to graduate in 2024
Du Chen	Image Enhancement, GAN	Expected to graduate in 2024
Yabin Zhang	Deep Learning, Machine Learning	Expected to graduate in 2024
Ruihuang Li	Deep Learning, Segmentation	Expected to graduate in 2024
Liyi Chen	Image/Video Segmentation	Expected to graduate in 2026
Zhiyuan Ma	Deep Learning, NERF	Expected to graduate in 2026

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