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Lei
Zhang Chair
Professor of Computer Vision and Image Analysis Fellow of IEEE Office: PQ816 |
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Education
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3/1998~10/2001 |
PhD |
Dept. of Automatic Control,
Northwestern Polytechnical University,
Xi'an, China. |
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9/1995~3/1998 |
M.Sc |
Dept. of Automatic Control,
Northwestern Polytechnical University,
Xi'an, China. |
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9/1991~7/1995 |
B.Sc |
Dept. of Aeronautical
Engineering, Shenyang
Inst. of Aeronautical Engineering, Shenyang, China. |
Work
Experience
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7/2017~present |
Chair Professor, Dept. of
Computing, Hong Kong Polytechnic University, Hong Kong. |
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7/2015~6/2017 |
Professor, Dept. of
Computing, Hong Kong Polytechnic University, Hong Kong. |
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9/2010~6/2015 |
Associate Professor, Dept.
of Computing, Hong Kong Polytechnic University, Hong Kong. |
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1/2006~8/2010 |
Assistant Professor, Dept.
of Computing, Hong Kong Polytechnic University, Hong Kong. |
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1/2003~1/2006 |
Postdoctoral Fellow, Dept. of Electrical and Computer
Engineering, McMaster University,
Canada. |
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1/2001~1/2003 |
Research
Assistant/Associate, Dept. of Computing, Hong Kong Polytechnic University,
Hong Kong. |
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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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![MC900297235[1]](index_files/image007.gif)
News
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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. |
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2.
Some PhD positions on Low-level Vision and Computational Photography are available. Please send me your CV if
you have interest. |
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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. |
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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. |
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5.
I've
been selected as a "Clarivate
Analytics Highly Cited Researcher"
from 2015 to 2021. (https://clarivate.com/hcr). |
Preprint
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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
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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!) |
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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!) |
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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!) |
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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) |
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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) |
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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!) |
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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) |
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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) |
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PhD Students Supervised
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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 |
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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 |
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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 |
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YANG Lingxiao |
Visual Tracking, Deep Learning |
Graduated in 2019 |
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XIAO Jin |
Color Constancy, Image and Video
Restoration |
Graduated in 2021 |
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LI Lida |
Face Analysis, Deep
Learning |
Graduated
in 2021 |
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ZENG Hui |
Deep Learning, Image
Quality/Aesthetics Assessment |
Graduated
in 2021 |
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LIANG Zhetong |
Computational Imaging,
Camera ISP |
Graduated
in 2021 |
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XIANG Wangmeng |
Deep Learning, Person ReID |
Expected
to graduate in 2022 |
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ZHANG Xindong |
Computer Vision,
Intelligent Transportation |
Expected
to graduate in 2022 |
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LI Shuai |
Deep Learning, Object
Detection |
Expected
to graduate in 2022 |
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YONG Hongwei |
Deep Learning, Image
Modeling |
Expected
to graduate in 2022 |
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ZHENG Hongyi |
Deep Learning, Computer
Vision |
Expected
to graduate in 2022 |
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HE Chenhang |
3D Object Detection, Deep
Learning |
Expected
to graduate in 2022 |
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GUO Shi |
Image/Video Restoration,
Camera ISP |
Expected
to graduate in 2023 |
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YANG Xi |
Image/Video Enhancement, Camera
ISP |
Expected
to graduate in 2023 |
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LIANG Jie |
Computational Photography,
Image-to-Image Translation, Style Transfer |
Expected
to graduate in 2023 |
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LI Minghan |
Image/Video Segmentation |
Expected
to graduate in 2023 |
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Ying Sun |
Deep Neural Network
Optimization |
Expected
to graduate in 2023 |
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Jianqi Ma |
Image Enhancement, Deep
Learning |
Expected
to graduate in 2024 |
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Du Chen |
Image Enhancement, GAN |
Expected
to graduate in 2024 |
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Yabin Zhang |
Deep Learning, Machine
Learning |
Expected
to graduate in 2024 |
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Zhe Jiang |
Computer Vision, Deep
Learning |
Expected
to graduate in 2024 |
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Ruihuang Li |
Deep Learning, Segmentation |
Expected
to graduate in 2024 |
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