Lei Zhang

                     28-04-13_1501_副本

There are so many unknowns in the universe and life

We are just trying to understand a little ……

Associate Professor
Department of Computing
The Hong Kong Polytechnic University
Hung Hom, Kowloon, Hong Kong

 

Office: PQ 729

Phone:  852-27667355
Email: cslzhang@comp.polyu.edu.hk

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

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 Research Secretary position in Biometrics Research Center (BRC) is available. The candidate should:

 

a)   Hold a PhD degree in computer science, information technology or related area.

b)   Very good at English writing, and have good experience in writing proposals and reports.

c)    Have a good publication record.

 

Please send me your CV if you have interest in it. The salary depends on the experience of the candidate.

 

2) One PhD and one Research Assistant positions in computer vision, pattern recognition, image restoration and image quality assessment are available. Please send me your CV if you have good background and great passion in research.

 

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, Dictionary Learning and Low Rank Methods

2.   Collaborative Representation based Classifier

3.   Image Quality Assessment

4.   Visual Tracking

5.   Image Segmentation and Image Segmentation Evaluation

6.   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.)

 

Current and Past 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)