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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
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3/1998~10/2001 |
PhD |
Dept. of Automatic Control,
Northwestern Polytechnical University,
Xi'an, China. |
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9/1995~3/1998 |
M.Sc |
Dept. of Automatic Control,
Northwestern Polytechnical University,
Xi'an, China. |
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9/1991~7/1995 |
B.Sc |
Dept. of Aeronautical
Engineering, Shenyang
Inst. of Aeronautical Engineering, Shenyang, China. |
Work Experience
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7/2017~present |
Chair Professor, Dept. of
Computing, Hong Kong Polytechnic University, Hong Kong. |
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7/2015~6/2017 |
Professor, Dept. of
Computing, Hong Kong Polytechnic University, Hong Kong. |
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9/2010~6/2015 |
Associate Professor, Dept.
of Computing, Hong Kong Polytechnic University, Hong Kong. |
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1/2006~8/2010 |
Assistant Professor, Dept.
of Computing, Hong Kong Polytechnic University, Hong Kong. |
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1/2003~1/2006 |
Postdoctoral Fellow, Dept. of Electrical and Computer
Engineering, McMaster University,
Canada. |
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1/2001~1/2003 |
Research
Assistant/Associate, Dept. of Computing, Hong Kong Polytechnic University,
Hong Kong. |
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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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![MC900297235[1]](index_files/image013.gif)
News
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1.
PhD
Student positions on Image/Video Restoration/Enhancement,
Computational Photography, etc., are
available. Please send me your CV if you have interest. |
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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. |
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3.
I've
been selected as a "Clarivate
Analytics Highly Cited Researcher"
from 2015 to 2022. (https://clarivate.com/hcr). |
Preprint
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1. T. Yang, P. Ren, X. Xie, L. Zhang,
"Synthesizing Realistic Image Restoration Training Pairs: A Diffusion
Approach," preprint. (paper) |
Newly accepted
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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) |
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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) |
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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) |
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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) |
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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) |
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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) |
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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) |
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8.
R.
Li, S. Li, C. He, Y. Zhang, L. Zhang, "DynaMask:
Dynamic Mask Selection for Instance Segmentation," in CVPR 2023. (paper) (code) |
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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) |
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10. P. Wang, Z. Zhang, Z. Lei, L. Zhang,
"Sharpness-Aware Gradient Matching for Domain Generalization," in
CVPR 2023. (paper) (supp) (code) |
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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) |
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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) |