|
Lei Zhang Professor Office: PQ816 Phone: 852-27667355 |
|
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
|
7/2015~present |
Professor, Dept. of
Computing, Hong Kong Polytechnic University, Hong Kong. |
|
9/2010~6/2015 |
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. |
|
|
|
||
![MC900297235[1]](index_files/image009.gif)
News
|
1. I've been selected as a "Web of
Science Highly Cited Researcher"
by Thomson Reuters, 2016 (http://highlycited.com). |
|
2.
I'm
looking for PhD Students, Postdoctoral Fellows or Research
Assistants/Associates in computer
vision, machine learning and computational
photography. Candidates with research
experience on Deep Learning will be considered with higher priority.
Please send me your CV if you have interest. (I will not
reply you 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
|
1.
L. Zhang, W.
Zuo, "Image Restoration: From Sparse and Low-rank Priors to Deep Priors,"
IEEE Signal Processing Magazine,
Sept. 2017. (lecture-notes
article, paper,
slides) |
|
2.
P. Li, Q. Wang, L. Zhang, "G2DeNet:
Global Gaussian Distribution Embedding Network and Its Application to Visual
Recognition," 2017 IEEE Conference
on Computer Vision and Pattern Recognition (CVPR 2017). (Oral) (paper) (code) |
|
3.
K. Zhang, W. Zuo, S. Gu, L. Zhang, "Learning Deep
CNN Denoiser Prior for Image Restoration," 2017 IEEE Conference on Computer Vision and Pattern Recognition
(CVPR 2017). (paper) (code) |
|
4.
S. Gu, W. Zuo, S. Guo, Y. Chen, C. Chen,
L. Zhang, "Learning Dynamic Guidance for Depth Image Enhancement," 2017 IEEE Conference on Computer Vision
and Pattern Recognition (CVPR 2017). (paper) (code) |
|
5.
J. Jiao, Q. Yang, S. He, S. Gu, L. Zhang,
R.W.H. Lau, "Joint Image Denoising and Disparity Estimation via Stereo
Structure PCA and Noise-tolerant Cost," International
Journal of Computer Vision, 2017. (paper) (code) |
|
6.
K. Zhang, W. Zuo, Y. Chen, D. Meng, L. Zhang,
"Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image
Denoising," IEEE Trans. on Image
Processing, issue 7, pp.
3142-3155, July 2017. (paper) (code) |
|
7.
K. Ma, H. Li, H. Yong, Z. Wang, D. Meng,
L. Zhang, "Robust Multi-Exposure Image Fusion: A
Structural Patch Decomposition Approach," IEEE Trans. on Image Processing, vol.
26, issue 5, pp. 2519 - 2532, May 2017. (paper) (sup) (code) |
|
8.
P. Li, H. Zeng, Q. Wang, Simon C. K.
Shiu, L. Zhang, "High-order Local Pooling and Encoding
Gaussians over a Dictionary of Gaussians," IEEE Trans. on Image Processing,
2017. (paper) (code) |
|
9.
R. Tan, K. Zhang, W. Zuo, L. Zhang,
"Color Image Demosaicking via Deep Residual Learning," 2017 International Conference on
Multimedia and Expo (ICME 2017). (paper) (code) |
|
10. L.
Zhu, L. Yang, D. Zhang, L. Zhang, "Learning A Real-time Generic Tracker
using Convolutional Neural Networks," 2017 International Conference on Multimedia and Expo (ICME 2017).
(paper) (code) |
|
My Google Scholar Citation
Profile |
|
Recent Research Focus 1.
Image Restoration, including 3D Reconstruction 2.
Image Classification and Face Recognition 3.
Object Detection 4.
Image Quality Assessment 5.
Visual Tracking |
PhD Students Supervised
|
Biometrics, Computer Vision and
Image Processing |
Graduated in 2011; now
with Tongji University, Shanghai, China |
|
|
Image Segmentation and Graph-based
Optimization |
Graduated in 2011; now
with Southwest Jiaotong University, Chengdu, China |
|
|
XIE Jin |
Texture Classification, Dictionary
Learning and Sparse Representation |
Graduated in 2012; now
doing postdoc at New York University at Dubai |
|
Face Recognition, Sparse Representation
and Computer Vision |
Graduated in 2012; now
with Shenzhen University, Shenzhen, China |
|
|
Visual Tracking, Image Segmentation
and Level Set Methods |
Graduated in 2013; now
with Nanjing Univ. of Information Engineering, Nanjing,
China |
|
|
Metric Learning, Computer Vision
and Pattern Classification |
Graduate in 2014; now
with Tianjin University, Tianjin, China |
|
|
Image Restoration, Computer Vision,
Low Rank and Matrix Factorization |
Expected to graduate in
2017 |
|
|
Sparse and Low Rank Methods,
Computer Vision, Machine Learning |
Expected to graduate in
2017 |
|
|
Machine Learning, Computer Vision |
Expected to graduate in
2017 |
|
|
HDR Imaging, Multiple Exposure
Fusion |
Expected to graduate in
2018 |
|
|
CAI Jianrui |
Image and Video Enhancement, Deep
Learning |
Expected to graduate in
2018 |
|
YANG Lingxiao |
Visual Recognition, Visual
Tracking, Deep Learning |
Expected to graduate in
2018 |
|
XIAO Jin |
Video Denoising and Restoration via
Deep Learning |
Expected to graduate in
2019 |
|
LI Lida |
Face Detection, Object
Detection, Deep Learning |
Expected
to graduate in 2019 |
|
ZENG Hui |
Deep Learning, Image
Quality Assessment |
Expected
to graduate in 2019 |
|
XIANG Wangmeng |
3D Reconstruction, Deep
Learning |
Expected
to graduate in 2020 |
|
LIANG Zhetong |
Computational Imaging,
Camera Pipeline |
Expected
to graduate in 2020 |