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'm now also with DAMO Academy, Alibaba Group.

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.    I'm looking for Research Interns working at DAMO Academy (达摩院) in Shenzhen/Beijing/Hangzhou, Alibaba Group. Candidates with research experience on Deep Learning, Computer Vision, and Computational Photography will be considered with higher priority. Please send me your CV if you have interest.

2.    I've been selected as a "Clarivate Analytics Highly Cited Researcher" from 2015 to 2020. (https://clarivate.com/hcr).

Newly accepted

1.    H. Zheng, H. Yong, L. Zhang, "Deep Convolutional Dictionary Learning for Image Denoising," in CVPR 2021. (paper) (supp) (code) (What is the limit of image denoising? We just go one step further.)

2.    T. Yang, P. Ren, X. Xie, L. Zhang, "GAN Prior Embedded Network for Blind Face Restoration in the Wild," in CVPR 2021. (paper) (supp) (code) (Robust face image enhancement in the wild!)

3.    J. Liang, H. Zeng, L. Zhang, "High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network," in CVPR 2021. (paper) (supp) (code) (4K I2I in real time!)

4.    J. Liang, H. Zeng, M. Cui, X. Xie, L. Zhang, "PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency," in CVPR 2021. (paper) (supp) (code) (The first large-scale portrait photo retouching dataset!)

5.    M. Li, S. Li, L. Li, and L. Zhang, "Spatial Feature Calibration and Temporal Fusion for Effective One-stage Video Instance Segmentation," in CVPR 2021. (paper) (supp) (code)

6.    Q. Yang, X. Wei, B. Wang, X-S. Hua, L. Zhang, "Interactive Self-Training with Mean Teachers for Semi-Supervised Object Detection," in CVPR 2021. (paper) (code)

7.    C. Chen, X. Li, L. Yang, X. Lin, L. Zhang, K-Y. Wong, "Progressive Semantic-Aware Style Transformation for Blind Face Restoration," in CVPR 2021. (paper) (code)

8.    J. Tang, D. Xu, F. Ma, K. Jia, L. Zhang, "Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction," in CVPR 2021. (paper) (code)

9.    P. Li, B. Wang, L. Zhang, "Virtual Fully-Connected Layer: Training Large-scale Face Recognition Dataset with Limited Computational Resources," in CVPR 2021. (paper) (supp) (code)

10. W. Li, T. Guo, P. Li, B. Chen, B. Wang, W. Zuo, L. Zhang, "VirFace: Enhancing Face Recognition via Unlabeled Shallow Data," in CVPR 2021. (paper) (supp) (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 2021

ZHANG Xindong

Computer Vision, Intelligent Transportation

Expected to graduate in 2021

LI Shuai

Deep Learning, Object Detection

Expected to graduate in 2021

YONG Hongwei

Deep Learning, Image Modeling

Expected to graduate in 2021

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

Machine Learning

Expected to graduate in 2024

Zhe Jiang

Computer Vision

Expected to graduate in 2024