Naishan Zheng

According to our database, Naishan Zheng authored at least 27 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Spatio-Temporal Sharpness Map for Video Deblurring.

Qi Zhu, Naishan Zheng, Jie Huang, Man Zhou, Jinghao Zhang, Feng Zhao

IEEE Trans. Circuits Syst. Video Technol., May, 2024

IRVR: A General Image Restoration Framework for Visual Recognition.

Zizheng Yang, Jie Huang, Man Zhou, Naishan Zheng, Feng Zhao

IEEE Trans. Multim., 2024

Frequency Integration and Spatial Compensation Network for infrared and visible image fusion.

Naishan Zheng, Man Zhou, Jie Huang, Feng Zhao

Inf. Fusion, 2024

Linearly-evolved Transformer for Pan-sharpening.

Junming Hou, Zihan Cao, Naishan Zheng, Xuan Li, Xiaoyu Chen, Xinyang Liu, Xiaofeng Cong, Danfeng Hong, Man Zhou

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Unsupervised Low-Light Image Enhancement via Spectral Consistency.

Bing Li, Wei Yu, Naishan Zheng, Jie Huang, Feng Zhao

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Probing Synergistic High-Order Interaction in Infrared and Visible Image Fusion.

Naishan Zheng, Man Zhou, Jie Huang, Junming Hou, Haoying Li, Yuan Xu, Feng Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Revisiting Spatial-Frequency Information Integration from a Hierarchical Perspective for Panchromatic and Multi-Spectral Image Fusion.

Jiangtong Tan, Jie Huang, Naishan Zheng, Man Zhou, Keyu Yan, Danfeng Hong, Feng Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Unsupervised Underexposed Image Enhancement via Self-Illuminated and Perceptual Guidance.

Naishan Zheng, Jie Huang, Feng Zhao, Xueyang Fu, Feng Wu

IEEE Trans. Multim., 2023

Singular Regularization with Information Bottleneck Improves Model's Adversarial Robustness.

Guanlin Li, Naishan Zheng, Man Zhou, Jie Zhang, Tianwei Zhang

CoRR, 2023

Random Weights Networks Work as Loss Prior Constraint for Image Restoration.

Man Zhou, Naishan Zheng, Jie Huang, Xiangyu Rui, Chunle Guo, Deyu Meng, Chongyi Li, Jinwei Gu

CoRR, 2023

Unlocking Masked Autoencoders as Loss Function for Image and Video Restoration.

Man Zhou, Naishan Zheng, Jie Huang, Chunle Guo, Chongyi Li

CoRR, 2023

FouriDown: Factoring Down-Sampling into Shuffling and Superposing.

Qi Zhu, Man Zhou, Jie Huang, Naishan Zheng, Hongzhi Gao, Chongyi Li, Yuan Xu, Feng Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Training Your Image Restoration Network Better with Random Weight Network as Optimization Function.

Man Zhou, Naishan Zheng, Yuan Xu, Chun-Le Guo, Chongyi Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Rubik's Cube: High-Order Channel Interactions with a Hierarchical Receptive Field.

Naishan Zheng, Man Zhou, Chong Zhou, Chen Change Loy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Non-Uniform-Sampling for Ultra-High-Definition Image Enhancement.

Wei Yu, Qi Zhu, Naishan Zheng, Jie Huang, Man Zhou, Feng Zhao

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Exploring Temporal Frequency Spectrum in Deep Video Deblurring.

Qi Zhu, Man Zhou, Naishan Zheng, Chongyi Li, Jie Huang, Feng Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learned Image Reasoning Prior Penetrates Deep Unfolding Network for Panchromatic and Multi-Spectral Image Fusion.

Man Zhou, Jie Huang, Naishan Zheng, Chongyi Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Empowering Low-Light Image Enhancer through Customized Learnable Priors.

Naishan Zheng, Man Zhou, Yanmeng Dong, Xiangyu Rui, Jie Huang, Chongyi Li, Feng Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NTIRE 2023 Image Shadow Removal Challenge Report.

Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte, Shuhao Cui, Junshi Huang, Shuman Tian, Mingyuan Fan, Jiaqi Zhang, Li Zhu, Xiaoming Wei, Xiaolin Wei, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiaoyi Dong, Xi Sheryl Zhang, Chenghua Li, Cong Leng, Woon-Ha Yeo, Wang-Taek Oh, Yeoreum Lee, Han-Cheol Ryu, Jinting Luo, Chengzhi Jiang, Mingyan Han, Qi Wu, Wenjie Lin, Lei Yu, Xinpeng Li, Ting Jiang, Haoqiang Fan, Shuaicheng Liu, Shuning Xu, Binbin Song, Xiangyu Chen, Shile Zhang, Jiantao Zhou, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Bo Wang, Jiahuan Ren, Yan Luo, Yuki Kondo, Riku Miyata, Fuma Yasue, Taito Naruki, Norimichi Ukita, Hua-En Chang, Hao-Hsiang Yang, Yi-Chung Chen, Yuan-Chun Chiang, Zhi-Kai Huang, Wei-Ting Chen, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xianwei Li, Huiyuan Fu, Chunlin Liu, Huadong Ma, Binglan Fu, Huiming He, Mengjia Wang, Wenxuan She, Yu Liu, Sabari Nathan, Priya Kansal, Zhongjian Zhang, Huabin Yang, Yan Wang, Yanru Zhang, Shruti S. Phutke, Ashutosh Kulkarni, Md Raqib Khan, Subrahmanyam Murala, Santosh Kumar Vipparthi, Heng Ye, Zixi Liu, Xingyi Yang, Songhua Liu, Yinwei Wu, Yongcheng Jing, Qianhao Yu, Naishan Zheng, Jie Huang, Yuhang Long, Mingde Yao, Feng Zhao, Bowen Zhao, Nan Ye, Ning Shen, Yanpeng Cao, Tong Xiong, Weiran Xia, Dingwen Li, Shuchen Xia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Sample Relationship for Exposure Correction.

Jie Huang, Feng Zhao, Man Zhou, Jie Xiao, Naishan Zheng, Kaiwen Zheng, Zhiwei Xiong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Frequency-consistent Optimization for Image Enhancement Networks.

Bing Li, Naishan Zheng, Qi Zhu, Jie Huang, Feng Zhao

Proceedings of the 34th British Machine Vision Conference 2023, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Adaptively Learning Low-high Frequency Information Integration for Pan-sharpening.

Man Zhou, Jie Huang, Chongyi Li, Hu Yu, Keyu Yan, Naishan Zheng, Feng Zhao

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

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

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Frequency and Spatial Dual Guidance for Image Dehazing.

Hu Yu, Naishan Zheng, Man Zhou, Jie Huang, Zeyu Xiao, Feng Zhao

Proceedings of the Computer Vision - ECCV 2022, 2022

CNSNet: A Cleanness-Navigated-Shadow Network for Shadow Removal.

Qianhao Yu, Naishan Zheng, Jie Huang, Feng Zhao

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results.

Ruicheng Feng, Chongyi Li, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Jun Jiang, Qingyu Yang, Chen Change Loy, Jinwei Gu, Yurui Zhu, Xi Wang, Xueyang Fu, Xiaowei Hu, Jinfan Hu, Xina Liu, Xiangyu Chen, Chao Dong, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Xuhao Jiang, Guangqi Shao, Xiaotao Wang, Lei Lei, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Tao Huang, Zhenxuan Fang, Mengluan Huang, Junwei Xu, Yong Zhang, Yuechi Yang, Qidi Shu, Zhiwen Yang, Shaocong Li, Mingde Yao, Ruikang Xu, Yuanshen Guan, Jie Huang, Zhiwei Xiong, Hangyan Zhu, Ming Liu, Shaohui Liu, Wangmeng Zuo, Zhuang Jia, Binbin Song, Ziqi Song, Guiting Mao, Ben Hou, Zhimou Liu, Yi Ke, Dengpei Ouyang, Dekui Han, Jinghao Zhang, Qi Zhu, Naishan Zheng, Feng Zhao, Wu Jin, Marcos V. Conde, Sabari Nathan, Radu Timofte, Tianyi Xu, Jun Xu, P. S. Hrishikesh, Densen Puthussery, C. V. Jiji, Biao Jiang, Yuhan Ding, WanZhang Li, Xiaoyue Feng, Sijing Chen, Tianheng Zhong, Jiyang Lu, Hongming Chen, Zhentao Fan, Xiang Chen

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022