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.    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)

 


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