Lei
Zhang Chair
Professor of Computer Vision and Image Analysis Fellow of IEEE Office: PQ816 I'm now also
with DAMO Academy, Alibaba Group. |
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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
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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
Biometrics, Computer Vision and
Image Processing |
Graduated in 2011 |
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Image Segmentation and Graph-based
Optimization |
Graduated in 2011 |
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XIE Jin |
Texture Classification, Dictionary
Learning and Sparse Representation |
Graduated in 2012 |
Face Recognition, Sparse
Representation and Computer Vision |
Graduated in 2012 |
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Visual Tracking, Image Segmentation
and Level Set Methods |
Graduated in 2013 |
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Metric Learning, Computer Vision
and Pattern Classification |
Graduated in 2014 |
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Image Restoration, Computer Vision,
Low Rank and Matrix Factorization |
Graduated in 2017 |
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XU Jun |
Sparse and Low Rank Methods,
Computer Vision, Machine Learning |
Graduated in 2018 |
Machine Learning, Computer Vision |
Graduated in 2018 |
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HDR Imaging, Multiple Exposure
Fusion |
Graduated in 2019 |
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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 |
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