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
    

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.     The training code of GPEN ("GAN Prior Embedded Network for Blind Face Restoration in the Wild", CVPR21) was released. Please go to code for details.

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

3.     Some PhD positions (PolyU degree, joint supervision with HKISI-CAS) on Deep Learning and Computer Vision are available. Please click here for more information.

4.     I'm looking for Research Assistants/Associates and Postdocs on Deep Learning, Computer Vision, and Computational Photography. Please send me your CV if you have interest.

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

Preprint

1.     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.     W. Liu, G. Ren, R. Yu, S. Guo, J. Zhu, L. Zhang, "Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions," in AAAI 2022. (paper) (supp) (code) (Adaptively enhance the image for better object detection in bad weather!)

2.     X. Yang, W. Xiang, H. Zeng, L. Zhang, "Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme," in ICCV 2021. (paper) (dataset&code) (The first real-world video super-resolution dataset!)

3.     G. Chen, C. Chen, S. Guo, Z. Liang, K-Y. Wong, L. Zhang, "HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset," in ICCV 2021. (paper) (dataset&code) (A large-scale real-world HDR video reconstruction dataset!)

4.     J. Tang, J. Lei, D. Xu, F. Ma, K. Jia, L. Zhang, "Sign-Agnostic CONet: Learning Implicit Surface Reconstructions by Sign-Agnostic Optimization of Convolutional Occupancy Networks," in ICCV 2021. (oral) (paper) (code)

5.     B. Chen, Z. Yan, K. Li, P. Li, B. Wang, W. Zuo, L. Zhang, "Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting," in ICCV 2021. (paper)

6.     X. Zhang, H. Zeng, L. Zhang, "Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices," in ACM Multimedia 2021. (oral) (paper) (code) (Make real-time video super-resolution on mobile devices possible!)

7.     S. Guo, Z. Liang, L. Zhang, "Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst Images," IEEE Trans. on Image Processing, vol. 30, pp. 6930-6942, Aug. 2021. (paper) (code)

8.     K. Zhang, Y. Li, W. Zuo, L. Zhang, Luc Van Gool, Radu Timofte, "Plug-and-Play Image Restoration with Deep Denoiser Prior," IEEE Trans. on Pattern Analysis and Machine Intelligence, 2021. (paper) (code)

 

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
    

Expected to graduate 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

Zhe Jiang
    

Computer Vision, Deep Learning
    

Expected to graduate in 2024

Ruihuang Li
    

Deep Learning, Segmentation
    

Expected to graduate in 2024