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Lei Zhang Chair
Professor of Computer Vision and Image Analysis Fellow of IEEE Office: PQ816 Phone: 852-27667355 |
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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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![MC900297235[1]](index_files/image013.gif)
News
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1. I've been selected as a "Clarivate
Analytics Highly Cited Researcher", 2015, 2016, 2017 (https://clarivate.com/hcr). |
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2.
I'm
looking for PhD Students, Research Assistants/Associates and Postdoctoral Fellows
in Embedded Vision System,
Computer Vision, and Computational
Photography. Candidates with research
experience on Embedded System and Deep Learning will be
considered with higher priority. Please send me your CV if you have interest. (I will
not reply if I don't receive your full CV.) Notes:
The minimum English-language requirement of PhD study at PolyU is: TOEFL 80 (with writing at least 23) or IELTS 6.5 (with writing at least 6). |
Newly accepted
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1. K. Zhang, W.
Zuo, L. Zhang, "FFDNet: Toward a Fast and Flexible Solution for CNN
based Image Denoising," IEEE
Trans. on Image Processing, 2018. (paper) (code) (Fast, flexible yet effective denoising!) |
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2. W. An, H. Wang, Q. Sun, J. Xu, Q. Dai, L. Zhang, "A
PID Controller Approach for Stochastic Optimization of Deep Networks,"
in CVPR 2018. (Spotlight
paper) (paper, supp) (code) (We, for the first time,
connect classical control theory with deep network optimization, and improve
up to 50% the efficiency over SGD-Momentum!) |
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3. Z. Liang, J. Xu, D. Zhang, Z. Cao, L. Zhang, "A
Hybrid L1-L0 Layer Decomposition Model for Tone Mapping," in CVPR 2018. (paper, supp) (code) |
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4. K. Zhang, W. Zuo, L. Zhang, "Learning a Single
Convolutional Super-Resolution Network for Multiple Degradations," in
CVPR 2018. (paper) (code) |
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5. F. Li, C. Tian, W. Zuo, L. Zhang, M-H. Yang,
"Learning Spatial-Temporal Regularized Correlation Filters for Visual
Tracking," in CVPR 2018. (paper, supp) (code) |
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6. K. Wang, X. Yan, D. Zhang, L. Zhang, L. Lin, "Towards
Human-Machine Cooperation: Self-supervised Sample Mining for Object
Detection," in CVPR 2018. (paper) (code) |
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7. W. Zuo, X. Wu, L. Lin, L. Zhang, M-H. Yang, "Learning
Support Correlation Filters for Visual Tracking," to appear, IEEE Trans. on Pattern Analysis and
Machine Intelligence. (paper) (code) |
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8. J. Xu, L. Zhang, D. Zhang, "External Prior Guided
Internal Prior Learning for Real-World Noisy Image Denoising," IEEE Trans. on Image Processing, vol.
27, issue 6, pp. 2996-3010, June 2018. (paper, supp) (code) |
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9. D.W. Ren, W.M. Zuo, D. Zhang, J. Xu, L. Zhang,
"Partial Deconvolution with Inaccurate Blur Kernel," IEEE Trans. on Image Processing, vol.
27, issue 1, pp. 511-524, Jan. 2018. |
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10. H. Yong, D. Meng, W. Zuo, L. Zhang, "Robust Online
Matrix Factorization for Dynamic Background Subtraction," to appear, IEEE Trans. on Pattern Analysis and
Machine Intelligence. (paper) (code) |
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11. T. Chen, Liang
Lin, W. Zuo, X. Luo, L. Zhang, "Learning a Wavelet-Like Auto-encoder to
Accelerate Deep Neural Networks," AAAI 2018. (paper) (code) |
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My Google Scholar Citation
Profile |
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Recent Research Focus Theory and algorithms of deep learning, sparse representation,
low-rank minimization, and their applications to image restoration,
enhancement, quality/aesthetics assessment, classification, and object
detection and tracking. |
PhD Students Supervised
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Biometrics, Computer Vision and
Image Processing |
Graduated in 2011; now
with Tongji University, Shanghai, China |
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Image Segmentation and Graph-based
Optimization |
Graduated in 2011; now with
Southwest Jiaotong University, Chengdu, China |
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XIE Jin |
Texture Classification, Dictionary
Learning and Sparse Representation |
Graduated in 2012; now
postdoc at New York University at Dubai |
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Face Recognition, Sparse
Representation and Computer Vision |
Graduated in 2012; now
with Sun Yat-sen University, Guangzhou, China |
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Visual Tracking, Image Segmentation
and Level Set Methods |
Graduated in 2013; now
with Nanjing Univ. of Information Engineering, Nanjing,
China |
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Metric Learning, Computer Vision
and Pattern Classification |
Graduate in 2014; now
with Tianjin University, Tianjin, China |
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Image Restoration, Computer Vision,
Low Rank and Matrix Factorization |
Graduate in 2017; now
postdoc at ETH |
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Sparse and Low Rank Methods,
Computer Vision, Machine Learning |
Graduate in 2018; now
postdoc at Simon Fraser Univ. |
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Machine Learning, Computer Vision |
Expected to graduate in
2018 |
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HDR Imaging, Multiple Exposure
Fusion |
Expected to graduate in
2019 |
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CAI Jianrui |
Image and Video Enhancement, Deep Learning,
Camera Pipeline |
Expected to graduate in
2019 |
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YANG Lingxiao |
Visual Tracking, Deep Learning |
Expected to graduate in
2019 |
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XIAO Jin |
Color Constancy, Image and Video
Restoration |
Expected to graduate in
2019 |
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LI Lida |
Face Analysis, Deep
Learning |
Expected
to graduate in 2019 |
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ZENG Hui |
Deep Learning, Image
Quality/Aesthetics Assessment |
Expected
to graduate in 2019 |
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XIANG Wangmeng |
Deep Learning, Person ReID |
Expected
to graduate in 2020 |
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LIANG Zhetong |
Computational Imaging,
Camera Pipeline |
Expected
to graduate in 2020 |
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ZHANG Xindong |
Computer Vision,
Intelligent Transportation |
Expected
to graduate in 2020 |
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LI Shuai |
Deep Learning, Object
Detection |
Expected
to graduate in 2021 |
|
YONG Hongwei |
Deep Learning, Image
Modeling |
Expected
to graduate in 2021 |