|
Lei
Zhang Chair
Professor of Computer Vision and Image Analysis Fellow of IEEE Office: PQ816 I am also with OPPO Research Institute. |
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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.
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. |
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2.
I've been
selected as a "Clarivate
Analytics Highly Cited Researcher"
from 2015 to 2022. (https://clarivate.com/hcr). |
Newly accepted
|
1. X. Li, S. Zhang, S. Zhou, L. Zhang, W. Zuo, "Learning
Dual Memory Dictionaries for Blind Face Restoration," IEEE Trans. on
Pattern Analysis and Machine Intelligence, to appear. (paper) (code) |
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2. X. Zhang, H. Zeng, S. Guo, L. Zhang, "Efficient Long-Range
Attention Network for Image Super-resolution," in ECCV 2022. (paper) (supp) (code)
(An effective and efficient
transformer architecture for image restoration.) |
|
3. J. Liang, H. Zeng, L. Zhang, "Efficient and
Degradation-Adaptive Network for Real-World Image Super-Resolution," in
ECCV 2022. (paper)
(supp)
(code)
(Toward more practical and
effective real-world super-resolution.) |
|
4. H.
Yong and L. Zhang, "An
Embedded Feature Whitening Approach to Deep Neural Network Optimization," in ECCV 2022. (paper) (supp) (code) (To make feature whitening much more
practical for DNN optimization.) |
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5. W.
Xiang, C. Li, X. Wei, B. Wang, L. Zhang, "Spatiotemporal
Self-attention Modeling with Temporal Patch Shift
for Action Recognition,"
in ECCV 2022. (paper)
(supp)
(code)
(A simple yet effective
self-attention model for video based action recognition.) |
|
6. W.
Li, W. Liu, J. Zhu, M. Cui, X. Hua, L. Zhang, "Box-supervised
Instance Segmentation with Level Set Evolution," in ECCV 2022. (paper) (code)
(New state-of-the-art for
box-supervised instance segmentation.) |
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7. H. Zheng, H. Yong, L. Zhang, "Unfolded Deep Kernel
Estimation for Blind Image Super-resolution," in ECCV 2022. (paper) (supp) (code)
(The first explicit unfolding
solution for deep kernel estimation.) |
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8. X.
Li, C. Chen, X. Lin, W. Zuo, L. Zhang, "From
Face to Natural Image: Learning Real Degradation for Blind Image
Super-Resolution,"
In ECCV 2022. (paper)
(supp)
(code)
(Transfer facial image priors
to natural image restoration.) |