Zongsheng Yue (岳 宗胜)

MMLab@NTU
School of Computer Science and Engineering, Nanyang Technological University

Blk ABN-02b-14, Nanyang Avenue, NTU, Singapore 639789

Email: zsyzam@gmail.com
[Google Scholar] [Github] [ResearchGate]

Biography

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.

Research Interest

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:

Research Experiences

MMLab@NTU, Nanyang Technological University, Singapore

Research Fellow, Apr. 2022 ~ present

Supervisor: Assoc Prof. Chen Change Loy

Computer Vision Group, The University of Hong Kong, Hong Kong

Postdoctoral Researcher, Sep. 2021 ~ Mar. 2022

Supervisor: Assoc Prof. Kenneth K.Y. Wong

DAMO Academy, Alibaba Group, Shenzhen, China

Research Intern, Mar. 2021 ~ Sep. 2021

Supervisor: Prof. Lei Zhang

Department of Computing, The Hong Kong Polytechnic University, Hong Kong

Research Assistant, Oct. 2018 ~ Jun. 2019

Supervisor: Prof. Lei Zhang

Institute of Future Cities, The Chinese University of Hong Kong, Hong Kong

Research Assistant, Feb. 2017 ~ Sep. 2017

Supervisor: Prof. Leung Yee

Selected Publications [Full List]

 

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]

 

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]

 

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]

 

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]

 

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]

 

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]

 

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]

 

Semi-supervised Learning through Adaptive Laplacian Graph Trimming

Zongsheng Yue, Deyu Meng, Juan He, Gemeng Zhang
Image and Vision Computing(IVC), 2017.
[Paper] [Code]

Services

Journal Reviewer:

  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • IEEE Transactions on Image Processing (TIP)

Conference Reviewer:

  • Neural Information Processing Systems (NeurIPS)
  • International Conference on Learning Representation (ICLR)
  • International Conference on Machine Learning (ICML)
  • AAAI Conference on Artificial Intelligence (AAAI)