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Lei Zhang |
There are so many unknowns in the universe
and life We are just trying to understand a little …… |
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Associate Professor Office: PQ
729 Phone: 852-27667355 |
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
9/2010~present 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.
News:
1) One PhD position in computer vision, pattern recognition
and machine learning is available. Please send me your CV if you have good
background and interest in it.
2) One PhD or Research Assistant position in image
restoration and image quality assessment is available. Please send me your CV
if you have good background and interest in it.
Two papers were accepted in CVPR 2013
1.
W. Zuo, L. Zhang, C. Song and D. Zhang,
“Texture Enhanced Image Denoising via Gradient Histogram Preservation,” in CVPR
2013. (paper) (code will be available soon)
2.
W. Xue, L. Zhang and X. Mou, “Learning without Human Scores for Blind Image Quality
Assessment,” in CVPR 2013. (paper) (code)
Newly accepted:
D. Meng, Z. Xu, L. Zhang and J. Zhao, “A Cyclic Weighted Median Method
for L1 Low-Rank Matrix
Factorization with Missing Entries,” in AAAI
2013. (paper) (code will be available soon)
(A very simple but very efficient and
effective L1 matrix factorization algorithm.)
S. Wang, L. Zhang, and Y. Liang, “Nonlocal Spectral Prior Model for
Low-level Vision.” In ACCV12. (paper) (code and website will be available soon)
M. Yang, L. Zhang, J. Yang and D. Zhang, “Regularized Robust Coding for Face Recognition.” IEEE Trans. on Image
Processing, 2013. (paper) (code)
(This
paper is a substantial extension of our CVPR11 paper “Robust sparse coding
for face recognition”.)
W. Dong, L.
Zhang, G. Shi and X. Li, “Nonlocally Centralized
Sparse Representation for Image Restoration”, IEEE Trans. on Image Processing, vol. 22, no. 4, pp. 1620-1630, Apr.
2013. (paper) (website) (code)
(This paper is an improvement of our ICCV11
paper “Centralized
Sparse Representation for Image Restoration”.
The new model is simpler and more efficient.)
W.
Dong, L. Zhang, R. Lukac, G. Shi, “Sparse
Representation based Image Interpolation with Nonlocal Autoregressive
Modeling”, IEEE Trans. on Image Processing, vol. 22, no. 4,
pp. 1382-1394, Apr. 2013. (paper) (website) (code)
M. Yang, L.
Zhang, S. Shiu, and D. Zhang, “Monogenic Binary
Coding: An Efficient Local Feature Extraction Approach to Face Recognition,” IEEE Trans. on Information Forensics and
Security, vol. 7, no. 6, pp. 1738-1751,
Dec. 2012. (paper) (code)
(In this work we proposed a new binary coding
scheme, namely MBC, which has very high efficiency and accuracy in face
representation and recognition.)
B. Peng,
L. Zhang and D. Zhang, “A Survey of Graph Theoretical Approaches to Image
Segmentation.” Pattern Recognition, to
appear. (paper).
Five papers were accepted in ECCV 2012
1.
K. Zhang, L. Zhang and M.H. Yang, “Real-time Compressive Tracking,”
in ECCV 2012. (paper) (code and website)
(No training, no feature selection, speed up-to 40fps
under Matlab, but with state-of-the-art tracking
performance in terms of both success rate and center location
error!)
2.
B. Peng, L. Zhang, “Evaluation of Image
Segmentation Quality by Adaptive Ground Truth Composition,” in ECCV 2012. (paper) (code and website)
(A novel metric to evaluate the quality of image
segmentation!)
3.
W. Lian and L. Zhang, “Robust Point
Matching Revisited: A Concave Optimization Approach,” in ECCV 2012. (paper) (code)
4.
M. Yang, L. Zhang and D. Zhang, “Efficient Misalignment-Robust
Representation for Real-Time Face Recognition,” in ECCV 2012. (paper) (code)
5.
P. Zhu, L. Zhang, Q. Hu
and Simon C.K. Shiu, “Multi-scale Patch based Collaborative Representation for Face
Recognition with Margin Distribution Optimization,” in ECCV 2012. (paper) (code)
PUBLICATION CODES DATASETS DEMO SYSTEMS POSITIONS
Recent Research Focus
1.
Sparse Representation and Low Rank Methods in Image Reconstruction
and Pattern Recognition
2.
Image Quality Assessment
3.
Visual Tracking
4.
Image Segmentation and Image Segmentation Evaluation
5.
Biometrics (face, finger-knuckle-print and palmprint)
My Google Citation Profile
http://scholar.google.com/citations?user=tAK5l1IAAAAJ
PhD Students Supervised
ZHANG Lin Biometrics,
Computer Vision and Image Processing
(Graduated
in 2011; now with Tongji University, Shanghai, China)
(Winner
of the “Most Promising Researcher” competition, Dept. of Computing, 2010.)
PENG Bo Image Segmentation, Graph-based Optimization and
Pattern Recognition
(Graduated
in 2011; now with Southwest Jiaotong University,
Chengdu, China)
(Winner
of the “Most Promising Researcher” competition, Dept. of Computing, 2011.)
XIE Jin Texture Classification, Dictionary Learning and Sparse
Representation
(Graduated
in 2012)
YANG Meng
Face Recognition, Sparse Representation and Computer
Vision
(Graduated
in 2012; now with ETH Zurich)
ZHANG Kaihua
Image Segmentation, Level Set Methods and Visual Tracking
ZHU Pengfei Machine
Learning and Computer Vision
(Winner
of the “Department Research Day” competition, Dept. of Computing, 2012.)
Research
Collaborators
ZUO Wangmeng Image
Processing, Computer Vision, Biometrics (Harbin Institute of Technology, Harbin, China)
MENG Deyu Matrix
Factorization, Machine Learning (Xi’an Jiaotong University,
Xi’an, China)
DONG Weisheng Image/Video
Restoration, Sparse Representation (Xidian University,
Xi’an, China)
HU Qinghua Machine
Learning, Rough Set Theory, etc. (Tianjin University,
Tianjin, China)