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
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.
Some PhD positions on Low-level Vision and Computational Photography are available. Please send me your CV if
you have interest. |
2.
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. |
3.
I've
been selected as a "Clarivate
Analytics Highly Cited Researcher"
from 2015 to 2021. (https://clarivate.com/hcr). |
Preprint
1. J. Liang, H. Zeng, L. Zhang, "Efficient and
Degradation-Adaptive Network for Real-World Image Super-Resolution," preprint.
(paper)
(code)
(Toward more practical and effective
real-world super-resolution.) |
2. M. Li and L. Zhang, "One-stage Video Instance
Segmentation: From Frame-in Frame-out to Clip-in Clip-out," preprint.
(paper)
(code)
(From FiFo
to CiCo: A new framework for video instance
segmentation.) |
3. X. Zhang, H. Zeng, S. Guo, L. Zhang, "Efficient
Long-Range Attention Network for Image Super-resolution," preprint.
(paper)
(code)
(An effective and efficient
architecture for super-resolution.) |
4. H. Zheng, H. Yong, L. Zhang, "Unfolded Deep Kernel
Estimation for Blind Image Super-resolution," preprint. (paper) (code)
(The first explicit unfolding
solution for deep kernel estimation.) |
5. T. Yang, P. Ren, X. Xie, X. Hua, L. Zhang, "Beyond a Video
Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image
Transition," preprint. (paper) (code) (A unified framework to various continuous
image transition problems.) |
6. 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
1. J.
Liang, H. Zeng, L. Zhang, "Details
or Artifacts: A Locally Discriminative Learning Approach to Realistic Image
Super-Resolution,"
in CVPR 2022. (oral
presentation) (paper) (code)
(We make the GAN-based
super-resolution models much more robust!) |
2. Y.
Zhang, M. Li, R. Li, K. Jia, L. Zhang, "Exact
Feature Distribution Matching for Arbitrary Style Transfer and Domain
Generalization,"
in CVPR 2022. (oral
presentation) (paper) (code)
(A simple yet very effective
step toward feature statistics learning.) |
3. S.
Li, C. He, R. Li, L. Zhang, "A
Dual Weighting Label Assignment Scheme for Object Detection," in CVPR 2022. (paper) (code) (A flexible weighting scheme to both
positive and negative samples.) |
4. B.
Chen, P. Li, X. Chen, B. Wang, L. Zhang, X-S. Hua, "Dense Learning based Semi-Supervised
Object Detection,"
in CVPR 2022. (paper)
(code)
(The first anchor-free
semi-supervised object detector.) |
5. C.
He, L. Zhang, "Voxel Set
Transformer: A Set-to-Set Approach to 3D Object Detection from Point
Clouds," in CVPR 2022. (paper) (code)
(A set-to-set transformer
built upon voxel.) |
6. R.
Li, S. Li, C. He, Y. Zhang, X. Jia, L. Zhang, "Class-Balanced
Pixel-Level Self-Labeling for Domain Adaptive
Semantic Segmentation,"
in CVPR 2022. (paper)
(code) |
7. S.
Guo, X. Yang, J. Ma, G. Ren, L. Zhang, "A
Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with
Large Shift,"
in CVPR 2022. (paper)
(code) |
8. J.
Ma, Z. Liang, L. Zhang, "A
Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution," in CVPR 2022. (paper) (code) |
9. Z.
Yue, Q. Zhao, J. Xie, L. Zhang, D. Meng, Kwan-Yee K. Wong, "Blind Image Super-resolution with
Elaborate Degradation Modeling on Noise and Kernel," in CVPR 2022. (paper) (code) |
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PhD Students Supervised
Biometrics, Computer Vision and Image Processing |
Graduated in 2011 |
|
Image Segmentation and Graph-based
Optimization |
Graduated in 2011 |
|
XIE Jin |
Texture Classification, Dictionary
Learning and Sparse Representation |
Graduated in 2012 |
Face Recognition, Sparse
Representation and Computer Vision |
Graduated in 2012 |
|
Visual Tracking, Image Segmentation
and Level Set Methods |
Graduated in 2013 |
|
Metric Learning, Computer Vision and Pattern Classification |
Graduated in 2014 |
|
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 |
Machine Learning, Computer Vision |
Graduated in 2018 |
|
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 2022 |
ZHANG Xindong |
Computer Vision,
Intelligent Transportation |
Expected
to graduate in 2022 |
LI Shuai |
Deep Learning, Object
Detection |
Expected
to graduate in 2022 |
YONG Hongwei |
Deep Learning, Image Modeling |
Graduated
in 2022 |
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 |
Deep Learning, Machine
Learning |
Expected
to graduate in 2024 |
Ruihuang
Li |
Deep Learning, Segmentation |
Expected
to graduate in 2024 |
Liyi Chen |
Image/Video Segmentation |
Expected
to graduate in 2026 |
Zhiyuan Ma |
Deep Learning, NERF |
Expected
to graduate in 2026 |