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.     The Hong Kong PhD Fellowship (HKPF,香港博士) program is calling for applications! The deadline is Dec. 1, 2020. Interested students please contact me ASAP. More information can be found at https://www.polyu.edu.hk/ro/hkphd-fellowship/.

2.     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.

3.     I've been selected as a "Clarivate Analytics Highly Cited Researcher", 2015, 2016, 2017, 2018, 2019 (https://clarivate.com/hcr).

4.     My PhD students, Hui Zeng, Xi Yang and Jie Liang, won the Champion Award of the 4K+HDR Track, the 1st National Artificial Intelligence Challenge, Jan. 2020.

Newly accepted

1.     H. Zeng, J. Cai, L. Li, Z. Cao, L. Zhang, "Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time," IEEE Trans. on Pattern Analysis and Machine Intelligence. (paper) (supp) (code) (High quality adaptive photo enhancement in real-time (<2ms for 4K resolution images)!)

2.     H. Zeng, L. Li, Z. Cao, L. Zhang, "Grid Anchor based Image Cropping: A New Benchmark and An Efficient Model," IEEE Trans. on Pattern Analysis and Machine Intelligence. (paper) (code) (Extension of our CVPR19 work with a much bigger dataset.)

3.     H. Yong, J. Huang, X. Hua, L. Zhang, "Gradient Centralization: A New Optimization Technique for Deep Neural Networks," in ECCV 2020. (oral) (paper) (supp) (code) (One line of code to improve DNN optimization!)

4.     L. Li, K. Wang, S. Li, X. Feng, L. Zhang, "LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform," in ECCV 2020. (paper) (supp) (code) (A new bottleneck for learning efficient and effective CNNs!)

5.     Z. Liang, S. Guo, H. Gu, H. Zhang, L. Zhang, "A Decoupled Learning Scheme for Real-world Burst Denoising from Raw Images," in ECCV 2020. (paper) (supp) (code) (A novel learning scheme for real-world burst denoising!)

6.     H. Yong, J. Huang, D. Meng, X. Hua, L. Zhang, "Momentum Batch Normalization for Deep Learning with Small Batch Size," in ECCV 2020. (paper) (supp) (code)

7.     Z. Yue, Q. Zhao, L. Zhang, D. Meng, "Dual Adversarial Network: Toward Real Noise Removal and Noise Generation," in ECCV 2020. (paper) (code)

8.     X. Li, C. Chen, S. Zhou, X. Lin, W. Zuo, L. Zhang, "Blind Face Restoration via Deep Multi-scale Component Dictionaries," in ECCV 2020. (paper) (code)

9.     Y. Zhang, B. Deng, K. Jia, L. Zhang, "Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning Baseline for Unsupervised Domain Adaptation," in ECCV 2020. (spotlight) (paper) (code)

10. X. Zhao, Y. Pang, L. Zhang, H. Lu, L. Zhang, "Suppress and Balance: A Simple Gated Network for Salient Object Detection," in ECCV 2020. (oral) (paper) (code)

11. X. Zhao, L. Zhang, Y. Pang, H. Lu, L. Zhang, "A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection," in ECCV 2020. (paper) (code)

12. H. Zheng, W. Zuo, L. Zhang, "BS-MCVR: Binary-sensing based Mobile-cloud Visual Recognition," in ACM Multimedia 2020. (oral) (paper) (code) (Toward a binary-sensing camera for future visual recognition!)


PhD Students Supervised

ZHANG Lin

Biometrics, Computer Vision and Image Processing

Graduated in 2011; now with Tongji University, Shanghai, China

PENG Bo

Image Segmentation and Graph-based Optimization

Graduated in 2011; now with Southwest Jiaotong University, Chengdu, China

XIE Jin

Texture Classification, Dictionary Learning and Sparse Representation

Graduated in 2012; now with Nanjing University of Science and Technology, Nanjing, China

YANG Meng

Face Recognition, Sparse Representation and Computer Vision

Graduated in 2012; now with Sun Yat-sen University, Guangzhou, China

ZHANG Kaihua

Visual Tracking, Image Segmentation and Level Set Methods

Graduated in 2013; now with Nanjing Univ. of Information Engineering, Nanjing, China

ZHU Pengfei

Metric Learning, Computer Vision and Pattern Classification

Graduated in 2014; now with Tianjin University, Tianjin, China

GU Shuhang

Image Restoration, Computer Vision, Low Rank and Matrix Factorization

Graduated in 2017; now postdoc at ETH

XU Jun

Sparse and Low Rank Methods, Computer Vision, Machine Learning

Graduated in 2018

CAI Sijia

Machine Learning, Computer Vision

Graduated in 2018; now work at Alibaba

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

Expected to graduate in 2020

LI Lida

Face Analysis, Deep Learning

Expected to graduate in 2020

ZENG Hui

Deep Learning, Image Quality/Aesthetics Assessment

Expected to graduate in 2020

XIANG Wangmeng

Deep Learning, Person ReID

Expected to graduate in 2020

LIANG Zhetong

Computational Imaging, Camera ISP

Expected to graduate in 2020

ZHANG Xindong

Computer Vision, Intelligent Transportation

Expected to graduate in 2020

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

Video Segmentation

Expected to graduate in 2023