Lei Zhang Chair
Professor of Computer Vision and Image Analysis Fellow of IEEE Office: PQ816 I am also with OPPO Research Institute. |
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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
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News
1. "Restore Any Image Model (RAIM) in the Wild: An NTIRE
Challenge in Conjunction with CVPR 2024" is ongoing!!! Please visit here for details and
participation! |
2.
PhD
Student, Research Assistant/Associate and Postdoc positions on Image/Video
Restoration/Enhancement, Diffusion Models, Vision-Language Models,
Segmentation, etc., are
available. Please send me your CV if you have interest. |
3.
Research
Interns on Diffusion Models, Vision-Language Models, Image Enhancement,
Segmentation, etc., are
available at OPPO Research Institute. Please send me your CV if you have
interest. |
4.
I've
been selected as a "Clarivate
Analytics Highly Cited Researcher"
from 2015 to 2023. (https://clarivate.com/hcr). |
Preprint
1. L. Sun, R. Wu, Z. Zhang, H. Yong, L.
Zhang, "Improving the Stability of Diffusion Models for Content
Consistent Super-Resolution," preprint. (paper) (code) |
2. R. Wu, T. Yang, L. Sun, Z. Zhang, S. Li,
L. Zhang, "SeeSR: Towards Semantics-Aware Real-World Image
Super-Resolution," preprint. (paper) (code) (See also
the related work of PASD.) |
3. X. Kong, C. Dong, L. Zhang, "Towards Effective Multiple-in-One Image
Restoration: A Sequential and Prompt Learning Strategy," preprint. (paper) (code&data) |
4. X. Yang, C. He, J. Ma, L. Zhang, "Motion-Guided
Latent Diffusion for Temporally Consistent Real-World Video
Super-Resolution," preprint. (paper) (code) |
5. Z. Zhang, R. Li, S. Guo, Y. Cao, L.
Zhang, "TMP: Temporal Motion Propagation for Online Video
Super-Resolution," preprint. (paper) (code) |
6. C. He, R. Li, G. Zhang, L. Zhang, "ScatterFormer: Efficient Voxel Transformer with Scattered
Attention," preprint. (paper) (code) |
7. Y. Yuan, W. Li, J. Liu, D. Tang, X. Luo,
C. Qin, L. Zhang and J. Zhu, "Osprey: Pixel Understanding with Visual
Instruction Tuning," preprint. (paper) (code) |
8. S. Li, M. Li, P. Wang, L. Zhang, "OpenSD: Unified Open-Vocabulary Segmentation and
Detection," preprint. (paper) (code) |
Newly accepted
1.
W.
Li, Y. Yuan, S. Wang, W. Liu, D. Tang, J. Liu, J. Zhu, L. Zhang, "Label-efficient Segmentation via
Affinity Propagation," in NeurIPS 2023.
(paper) (code) |
2.
Y.
Wei, Y. Zhang, Z. Ji, J. Bai, L. Zhang, W. Zuo, "ELITE: Encoding Visual Concepts
into Textual Embeddings for Customized Text-to-Image Generation,"
in ICCV 2023. (paper) (supp) (code) (Oral presentation) |
3.
J.
Ma, Z. Liang, W. Xiang, X. Yang, L. Zhang, "A Benchmark for Chinese-English Scene Text Image
Super-resolution," in ICCV 2023. (paper) (supp) (code&dataset) |
4.
W. Li, Y. Yuan, S. Wang, J. Zhu, J. Li, J. Liu, L. Zhang, "Point2Mask:
Point-supervised Panoptic Segmentation via Optimal Transport," in
ICCV 2023. (paper) (supp) (code) |
5.
W.
Xiang, C. Li, Y. Zhou, B. Wang, L. Zhang, "Generative Action Description Prompts for
Skeleton-based Action Recognition," in ICCV 2023. (paper) (supp) (code) |
6.
L.
Chen, C. Lei, R. Li, S. Li, Z. Zhang, L. Zhang, "FPR: False Positive
Rectification for Weakly Supervised Semantic Segmentation," in
ICCV 2023. (paper) (code) |
7.
Y.
Yuan, Y. Wang, L. Wang, X. Zhao, H. Lu, Y. Wang, W. Su, L. Zhang, "Isomer: Isomerous
Transformer for Zero-shot Video Object Segmentation," in ICCV
2023. (paper) (code) |
8.
Y.
Cui, G. Pan, J. Yang, L. Zhang, L. Yan, B. Wang, "Multiple-bounce Smith Microfacet
BRDFs using the Invariance Principle," Siggraph
Asia 2023. (paper) (supp) (code) |