There are so many unknowns in the universe and life
We are just trying to understand a little ……
Office: PQ 729
PhD, Dept. of Automatic Control, Northwestern Polytechnical University, Xi’an, China.
M.Sc., Dept. of Automatic Control, Northwestern Polytechnical University, Xi’an, China.
B.Sc., Dept. of Aeronautical Engineering, Shenyang Inst. of Aeronautical Engineering, Shenyang, China.
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.
1/2001~1/2003 Research Assistant/Associate, Dept. of Computing, Hong Kong Polytechnic University, Hong Kong.
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)
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)
(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
(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!)
(A novel metric to evaluate the quality of image segmentation!)
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
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.)
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)