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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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PhD, Member IEEE 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:
Two papers were accepted in CVPR 2012 (code
will be available soon).
1.
M. Yang, L. Zhang, D. Zhang and S. Wang,
“Relaxed Collaborative
Representation for Pattern Classification,” in CVPR 2012. (paper)
2.
S. Wang, L. Zhang, Y.
Liang and Q. Pan, “Semi-Coupled Dictionary Learning with Applications to Image
Super-Resolution and Photo-Sketch Image Synthesis,” in CVPR 2012. (paper)
Preprint:
L. Zhang, M. Yang, X. Feng, Y. Ma and D. Zhang, “Collaborative Representation
based Classification for Face Recognition,” arXiv:1204.2358. (paper)
(This paper is a substantial extension of
our ICCV11 paper “Sparse
Representation or Collaborative Representation: Which Helps Face Recognition?”. The
role of sparsity and regularization in face representation and classification
is more comprehensively analyzed.)
K. Zhang, L. Zhang, H. Song, and
D. Zhang, “Re-initialization Free Level Set Evolution via Reaction Diffusion.” arXiv:1112.1496. (paper)
M. Yang, L. Zhang, J. Yang and D.
Zhang, “Regularized Robust Coding for
Face Recognition.” arXiv:1202.4207. (paper)
(This
paper is a substantial extension of our CVPR11 paper “Robust sparse coding
for face recognition”.)
Newly accepted:
Lin Zhang, Lei Zhang, X. Mou and D. Zhang, “A Comprehensive Evaluation of Full Reference Image Quality Assessment
Algorithms,”
in ICIP 2012. (paper)
W. Lian, L. Zhang
and D. Zhang, “Rotation Invariant Nonrigid Point Set
Matching in Cluttered Scenes,” IEEE
Trans. Image Processing, to appear, 2012. (paper, source
code)
Four papers were accepted by ICCV 2011:
1. L. Zhang, M. Yang and X. Feng,
“Sparse Representation or Collaborative Representation: Which Helps Face
Recognition?” in ICCV 2011. (paper,
code)
2. M. Yang, L. Zhang, X. Feng and D. Zhang, “Fisher
Discrimination Dictionary Learning for Sparse Representation,” in ICCV 2011. (paper, code)
3. L. Zhang, P. Zhu, Q. Hu and D. Zhang, “A Linear
Subspace Learning Approach via Sparse Coding,” in ICCV 2011. (paper, code) (Some errors in the
experimental results on MPIE database were corrected.)
4. W. Dong, L. Zhang and G.
Shi, “Centralized Sparse Representation for Image
Restoration,” in ICCV 2011. (paper, code)
The McMaster color demosaicking dataset is
now available. Please go to
http://www4.comp.polyu.edu.hk/~cslzhang/CDM_Dataset.htm
downloading it and refer to our paper for more information:
L. Zhang,
X. Wu, A. Buades, and X. Li, "Color Demosaicking
by Local Directional Interpolation and Non-local Adaptive Thresholding," Journal of Electronic Imaging 20(2),
023016 (Apr-Jun 2011), DOI:10.1117/1.3600632. (paper) (Matlab
code: download here)
Please click here
(Youtube) or here
(Youku) to watch the video clip of our newly
established embedded
FKP system! More information can be found at http://www4.comp.polyu.edu.hk/~biometrics/FKP.htm.
Call for papers:
Information
Sciences (deadline:
June 30, 2012):
Special issue on “New
Sensing and
Processing Technologies for Hand-based Biometrics Authentication”. Please go to
for
details.
The
PDF version of the CFP can be found here: Call for Papers.
PUBLICATION CODES DATASETS DEMO SYSTEMS POSITIONS
Recent Research Focus
1.
Sparse Representation and Low Rank Methods in Image Reconstruction
and Pattern Recognition
2.
Image Segmentation and Image Segmentation Evaluation
3.
Image Quality Assessment
4.
Visual Tracking
5.
Biometrics (face, finger-knuckle-print and palmprint)
My Google Citation Profile
http://scholar.google.com/citations?user=tAK5l1IAAAAJ
PhD Students
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
YANG Meng
Face Recognition, Sparse Representation and Computer
Vision
ZHANG Kaihua
Image Segmentation, Level Set Methods and Visual Tracking
ZHU Pengfei Machine
Learning and Computer Vision
Research
Collaborators (Postdoc, RF and RA, etc)
DONG Weisheng Image/Video
Restoration, Sparse Representation (Now with Xidian University,
Xi’an, China)
HU Qinghua Machine
Learning, Rough Set Theory, etc. (Now with Tianjin University, Tianjin, China)