Lei Zhang

Chair Professor of Computer Vision and Image Analysis

Fellow of IEEE
Department of Computing
The Hong Kong Polytechnic University
Hung Hom, Kowloon, Hong Kong

Office: PQ816
Email: cslzhang at comp.polyu dot edu.hk

I am also with OPPO Research Institute.

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

7/2017~present

Chair Professor, Dept. of Computing, Hong Kong Polytechnic University, Hong Kong.

7/2015~6/2017

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.

Visual Computing Lab (our mission):

Y learning and beyond: for future visual enhancement and understanding

 

My Google Scholar Citation Profile:

http://scholar.google.com/citations?user=tAK5l1IAAAAJ

http://t3.gstatic.com/images?q=tbn:ANd9GcSHajD6zIxvR7ORoWo3YUt1I4QtdrnCXbMSavwRvV19gHyDytAfYgMC900297235[1]

https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRG-DBvVsxquqkwmL0eOLCIk0mi0tuMAXQJG8m9BdC6tCZXa-pB

The Hong Kong PhD Fellowship Program

"香港博士"项目

Papers&Codes

Positions

News

1.    PhD Student positions on Image/Video Restoration/Enhancement, Computational Photography, etc., are available. Please send me your CV if you have interest.

2.    Postdocs and Research Interns on Deep Learning, Lightweight Model, Backbone Architecture, Image/Video Restoration/Enhancement, Segmentation, Depth Estimation, etc., are available at OPPO Research Institute. Please send me your CV if you have interest.

3.    I've been selected as a "Clarivate Analytics Highly Cited Researcher" from 2015 to 2022. (https://clarivate.com/hcr).

Preprint

1.    T. Yang, P. Ren, X. Xie, L. Zhang, "Synthesizing Realistic Image Restoration Training Pairs: A Diffusion Approach," preprint. (paper)

2.    M. Li, L. Zhang, "BoxVIS: Video Instance Segmentation with Box Annotations," preprint. (paper)

Newly accepted

1.      H. Yong, Y. Sun, L. Zhang, "A General Regret Bound of Preconditioned Gradient Method for DNN Training," in CVPR 2023. (paper) (supp) (code) (Highlight paper)

2.      C. He, R. Li, Y. Zhang, S. Li, L. Zhang, "MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences," in CVPR 2023. (paper) (code)

3.      M. Li, S. Li, W. Xiang, L. Zhang, "MDQE: Mining Discriminative Query Embeddings to Segment Occluded Instances on Challenging Videos," in CVPR 2023. (paper) (supp) (code)

4.      D. Chen, J. Liang, X. Zhang, M. Liu, H. Zeng, L. Zhang, "Human Guided Ground-truth Generation for Realistic Image Super-resolution," in CVPR 2023. (paper) (supp) (dataset&code)

5.      S. Liu, X. Zhang, H. Zeng, L. Sun, Z. Liang, L. Zhang, "Joint HDR Denoising and Fusion: A Real-World Mobile HDR Image Dataset," in CVPR 2023. (paper) (supp) (dataset&code)

6.      Z. Ma, X. Zhu, G-J. Qi, Z. Lei, Lei Zhang, "OTAvatar: One-shot Talking Face Avatar with Controllable Tri-plane Rendering," in CVPR 2023. (paper) (supp) (code)

7.      R. Li, C. He, Y. Zhang, S. Li, L. Chen, L. Zhang, "SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation," in CVPR 2023. (paper) (code)

8.      R. Li, S. Li, C. He, Y. Zhang, L. Zhang, "DynaMask: Dynamic Mask Selection for Instance Segmentation," in CVPR 2023. (paper) (code)

9.      S. Li, M. Li, R. Li, C. He, L. Zhang, "One-to-Few Label Assignment for End-to-End Dense Detection," in CVPR 2023. (paper) (supp) (code)

10.  P. Wang, Z. Zhang, Z. Lei, L. Zhang, "Sharpness-Aware Gradient Matching for Domain Generalization," in CVPR 2023. (paper) (supp) (code)

11.  Y. Wei, Z. Ji, X. Wu, J. Bai, L. Zhang, W. Zuo, "Inferring and Leveraging Parts from Object Shape for Improving Semantic Image Synthesis," in CVPR 2023. (paper) (supp) (code)

12.  W. Liu, W. Li, J. Zhu, M. Cui, X. Xie, L. Zhang, "Improving Nighttime Driving-Scene Segmentation via Dual Image-adaptive Learnable Filters," IEEE Trans. on Circuits and Systems for Video Technology. (paper) (code)