Mingde Yao (姚明德)

About Me

Currently, I am a Postdoctoral Researcher at The Chinese University of Hong Kong (CUHK), advised by Prof. Jinwei Gu and Prof. Hongsheng Li. Before that, I obtained my Ph.D. degree from University of Science and Technology of China (USTC) in 2023, advised by Prof. Zhiwei Xiong and Prof. Dong Liu. I obtained my B. Eng. degree in the Department of Automation (Lang Shijun Honors Class) from Northeastern University (NEU, China) in 2018.

My research interests broadly lie in the areas of computational photography and deep learning (e.g., super-resolution, denoising, enhancement, high-dynamic-range imaging, and hyper-spectral image processing). I am recently interested in 3D reconstruction/generation.

I am maintaining a GitHub repository named Awesome-3D-AIGC, aiming to keep pace with the rapidly evolving 3D AIGC. If you have any additions or suggestions, feel free to contribute.

Updates

New 09/2023: One paper is accepted by NeurIPS 2023.
New 07/2023: One paper is accepted by ACMMM 2023.
New 07/2023: One paper is accepted by ICCV 2023.
New 02/2023: Two papers are accepted by CVPR 2023.
02/2023: One paper is accepted by T-CSVT.
01/2023: One papers is accepted by T-MM.
09/2022: Our NeSR, the first work on implicit neural representation for spectral images, is accepted by ECCVW 2022, Mobile Intelligent Photography & Imaging Workshop (Best Paper Honorable Mention).
07/2022: Three papers are accepted by ACMMM.
03/2022: One paper is accepted by CVPR 2022.

Experience

The Chinese University of Hong Kong (CUHK)

Postdoctoral Researcher .
Advisors: Prof. Jinwei Gu, Prof. Hongsheng Li
2023 - now

University of Science and Technology of China

Doctor of Philosophy (Ph.D.) in ECE.
Advisors: Prof. Zhiwei Xiong, Prof. Dong Liu
2018 - 2023

Baidu

Intern. on Image processing & Editing
worked with Dr. Dongliang He
Nov. 2021 - Dec. 2022

Northeastern University, China

Bachelor of Engineering in Automation (Lang Shijun Honors Class)
2014 - 2018

Selected Publications [ Full List ]

Neural Degradation Representation Learning for All-In-One Image Restoration
Mingde Yao, Ruikang Xu, Yuanshen Guan, Jie Huang, and Zhiwei Xiong.
ArXiv preprint, 2023
[ PDF ] [ Code ]

Mutual-Guided Dynamic Network for Image Fusion
Yuanshen Guan, Ruikang Xu, Mingde Yao, Lizhi Wang, and Zhiwei Xiong.
ACM International Conference on Multimedia (ACMMM), 2023
[ PDF ] [ Code ]

Generalized Lightness Adaptation with Channel Selective Normalization
Mingde Yao*, Jie Huang*, Xin Jin, Ruikang Xu, Shenglong Zhou, Man Zhou, and Zhiwei Xiong.
IEEE International Conference on Computer Vision (ICCV), 2023
[ PDF ] [ Code ]

Zero-Shot Dual-Lens Super-Resolution
Ruikang Xu*, Mingde Yao*, and Zhiwei Xiong.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2023
[ PDF ] [ Code ] [ Slide ] [ Video ]

Ingredient-oriented Multi-Degradation Learning for Image Restoration
Jinghao Zhang, Jie Huang, Mingde Yao, Zizheng Yang, Hu Yu, Man Zhou, and Feng Zhao.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2023
[ PDF ] [ Bibtex ]

      @inproceedings{zhang2023ingredient,
      title={Ingredient-Oriented Multi-Degradation Learning for Image Restoration},
      author={Zhang, Jinghao and Huang, Jie and Yao, Mingde and Yang, Zizheng and Yu, Hu and Zhou, Man and Zhao, Feng},
      booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
      pages={5825--5835},
      year={2023}
      }

Bidirectional Translation between HD-SDR and UHD-HDR Videos
Mingde Yao, Dongliang He, Xin Li, Zhihong Pan, and Zhiwei Xiong.
Transactions on Multimedia (T-MM) , 2023
[ PDF ] [ Code ]

Towards Interactive Self-Supervised Denoising
Mingde Yao, Dongliang He, Xin Li, Fu Li, and Zhiwei Xiong.
IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT) , 2023
[ PDF ] [ Code ] [ Bibtex ]

      @article{yao2023towards,
      title={Towards interactive self-supervised denoising},
      author={Yao, Mingde and He, Dongliang and Li, Xin and Li, Fu and Xiong, Zhiwei},
      journal={IEEE Transactions on Circuits and Systems for Video Technology},
      year={2023},
      publisher={IEEE}
      }

Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence
Zhihong Pan, Baopu Li, Dongliang He, Mingde Yao, Wenhao Wu, Tianwei Lin, Xin Li, and Errui Ding.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2022
[ PDF ] [ Bibtex ]

        @inproceedings{pan2022towards,
        title={Towards bidirectional arbitrary image rescaling: Joint optimization and cycle idempotence},
        author={Pan, Zhihong and Li, Baopu and He, Dongliang and Yao, Mingde and Wu, Wenhao and Lin, Tianwei and Li, Xin and Ding, Errui},
        booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
        pages={17389--17398},
        year={2022}
        }

Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation
Ruikang Xu, Mingde Yao, Chang Chen, Lizhi Wang, and Zhiwei Xiong.
ECCV Mobile Intelligent Photography & Imaging Workshop (ECCVW) , 2022
[Best Paper Honorable Mention]
[ PDF ] [ Code ]

Spectral-depth imaging with deep learning based reconstruction
Mingde Yao, Zhiwei Xiong, Lizhi Wang, Dong Liu, and Xuejin Chen.
Optics Express (OE) , 2019
[ PDF ]

Awards

National Scholarship awarded by the Ministry of Education, 2015
Outstanding Graduates awarded by the Province Government, 2017
Winner of Bokeh Effect Synthesis in ICCV AIM Challenge, 2019
Runner-Up of Burst Super-Resolution in CVPR NTIRE Challenge, 2022
Second runner-up of Atmospheric Turbulence Mitigation in CVPR UG+ Challenge, 2022

Academic Activities

Reviewer

T-PAMI, IJCV, CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, AAAI, ACMMM, IJCAI