Naishan Zheng  郑乃山

PhD Candidate


University of Science and Technology of China
Hefei, China

Email: nszheng@mail.ustc.edu.cn;
Google Scholar: Google Scholar Link
Github: https://github.com/zheng980629/

WeChat: zhengwenrou1997

Biography

I am a 3rd-year PhD candidate at University of Science and Technology of China (USTC), advised by Prof. Feng Zhao. Currently, I am a research associate in MMLab@NTU at Nanyang Technological University, advised by Prof. Chen Change Loy. Before that, I got a B.E. degree at Nanjing Agricultural University in 2020.

My research interests focus on computer vision, especially low-level vision tasks and multi-modal image fusion.

Publications

Training Your Image Restoration Network Better with Random Weight Network as Optimization Function
Man Zhou*, Naishan Zheng*, Yuan Xu, Chun-Le Guo, Chongyi Li
Neural Information Processing Systems (NeurIPS), 2023
[PDF] [Code]
FouriDown: Factoring Down-Sampling into Shuffling and Superposing
Qi Zhu, Man Zhou, Jie Huang, Naishan Zheng, Hongzhi Gao, Chongyi Li, Yuan Xu, Feng Zhao
Neural Information Processing Systems (NeurIPS), 2023
[PDF] [Code]
Empowering Low-Light Image Enhancer through Customized Learnable Priors
Naishan Zheng, Man Zhou, Yanmeng Dong, Xiangyu Rui, Jie Huang, Chongyi Li, Feng Zhao
International Conference on Computer Vision (ICCV), 2023
[PDF] [Code]
Learned Image Reasoning Prior Penetrates Deep Unfolding Network for Panchromatic and Multi-spectral Image Fusion
Man Zhou, Jie Huang, Naishan Zheng, Chongyi Li
International Conference on Computer Vision (ICCV), 2023
[PDF] [Code]
Exploring Temporal Frequency Spectrum in Deep Video Deblurring
Qi Zhu, Man Zhou, Naishan Zheng, Chongyi Li, Jie Huang, Feng Zhao
International Conference on Computer Vision (ICCV), 2023
[PDF] [Code]
Learning Semantic Degradation-Aware Guidance for Recognition-Driven Unsupervised Low-Light Image Enhancement
Naishan Zheng, Jie Huang, Man Zhou, ZiZheng Yang, Qi Zhu, Feng Zhao
Association for the Advancement of Artificial Intelligence (AAAI), 2023
[PDF] [Code]
Enhancement by Your Aesthetic: An Intelligible Unsupervised Personalized Enhancer for Low-Light Images
Naishan Zheng, Jie Huang, Qi Zhu, Man Zhou, Feng Zhao, Zheng-Jun Zha
ACM International Conference on Multimedia (ACM MM), 2022
[PDF] [Code]
Unsupervised Underexposed Image Enhancement via Self-Illuminated and Perceptual Guidance
Naishan Zheng, Jie Huang, Feng Zhao, Xueyang Fu, Feng wu
IEEE Transactions on Multimedia (TMM)
[PDF] [Code]
Frequency-consistent Optimization for Image Enhancement Networks
Bing Li*, Naishan Zheng*, Qi Zhu, Jie Huang, Feng Zhao
British Machine Vision Conference (BMVC), 2023
[PDF] [Code]
Frequency and spatial dual guidance for image dehazing
Hu Yu, Naishan Zheng, Man Zhou, Jie Huang, Zeyu Xiao, Feng Zhao
European Conference on Computer Vision (ECCV), 2022
[PDF] [Code]
CNSNet: A Cleanness-Navigated-Shadow Network for Shadow Removal
Qianhao Yu*, Naishan Zheng*, Jie Huang, Feng Zhao
European Conference on Computer Vision Workshop(ECCVW), 2022
[PDF] [Code]

Awards