I am currently a research fellow at School of Computer Science and Engineering, Nanyang Technological University,
working with Assoc Prof. Chen Change Loy.
I received my Ph.D. degree from School of Mathematics and Statistics, Xi'an Jiaotong University, China, in 2021,
under the supervision of Prof. Deyu Meng.
Before that, I received my Bachelor degree from the College of Mathematics and System Science, Xinjiang University,
in 2015.
My work focus on the noise modeling method in machine learning and the image restoration problem in low-level computer vision.
Specifically, I mainly investigate how to design more efficient and interpretable image restoration models by incorporating the more robust noise modeling
technologies and the classical Bayesian methods. Recently, I focus on the following research topics:
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MMLab@NTU, Nanyang Technological University, Singapore
Research Fellow, Apr. 2022 ~ present
Supervisor: Assoc Prof. Chen Change Loy
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Computer Vision Group, The University of Hong Kong, Hong Kong
Postdoctoral Researcher, Sep. 2021 ~ Mar. 2022
Supervisor: Assoc Prof. Kenneth K.Y. Wong
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DAMO Academy, Alibaba Group, Shenzhen, China
Research Intern, Mar. 2021 ~ Sep. 2021
Supervisor: Prof. Lei Zhang
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Department of Computing, The Hong Kong Polytechnic University, Hong Kong
Research Assistant, Oct. 2018 ~ Jun. 2019
Supervisor: Prof. Lei Zhang
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Institute of Future Cities, The Chinese University of Hong Kong, Hong Kong
Research Assistant, Feb. 2017 ~ Sep. 2017
Supervisor: Prof. Leung Yee
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Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel
Zongsheng Yue, Qian Zhao, Jianwen Xie, Lei Zhang, Deyu Meng, K.-Y. K. Wong
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[Paper]
[Code]
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Semi-Supervised Video Deraining with Dynamical Rain Generator
Zongsheng Yue, Jianwen Xie, Qian Zhao, Deyu Meng
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[Paper]
[Code]
[Supp]
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From Rain Generation to Rain Removal
Hong Wang*, Zongsheng Yue*, Qi Xie, Qian Zhao, Yefeng Zheng, Deyu Meng (*Equal Contribution)
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[Paper]
[Code]
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Learning An Explicit Weighting Scheme for Adapting Complex HSI Noise
Xiangyu Rui, Xiangyong Cao, Qi Xie, Zongsheng Yue, Qian Zhao, Deyu Meng
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[Paper]
[Code]
[Supp]
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Dual Adversarial Network: Toward Real-World Noise Removal and Noise Generation
Zongsheng Yue, Qian Zhao, Lei Zhang, Deyu Meng
European Conference on Computer Vision (ECCV), 2020.
[Paper]
[Code]
[Supp]
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Variational Denoising Network: Toward Blind Noise Modeling and Removal
Zongsheng Yue, Hongwei Yong, Qian Zhao, Lei Zhang, Deyu Meng
Neural Information Processing Systems(NeurIPS), 2019.
[Paper]
[Code]
[Supp]
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Robust Multiview Subspace Learning With Nonindependently and Nonidentically Distributed Complex Noise
Zongsheng Yue, Hongwei Yong, Deyu Meng, Qian Zhao, Yee Leung, Lei Zhang
IEEE International Conference on Neural Networks and Learning Systems (TNNLS), 2019.
[Paper]
[Code]
[Supp]
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Semi-supervised Learning through Adaptive Laplacian Graph Trimming
Zongsheng Yue, Deyu Meng, Juan He, Gemeng Zhang
Image and Vision Computing(IVC), 2017.
[Paper]
[Code]
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Services
Journal Reviewer:
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- IEEE Transactions on Image Processing (TIP)
- Science China Information Sciences (SCIS)
- Frontier of Computer Science (FCS)
Conference Reviewer:
- Neural Information Processing Systems (NeurIPS)
- International Conference on Learning Representation (ICLR)
- International Conference on Machine Learning (ICML)
