Author details
Author's Published Works
Author details
Showing 1-10 of 10 results
- Sort
Sort By
Results
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results
Xiaoning Liu;Zongwei Wu;Ao Li;Florin-Alexandru Vasluianu;Yulun Zhang;Shuhang Gu;Le Zhang;Ce Zhu;Radu Timofte;Zhi Jin;Hongjun Wu;Chenxi Wang;Haitao Ling;Yuanhao Cai;Hao Bian;Yuxin Zheng;Jing Lin;Alan Yuille;Ben Shao;Jin Guo;Tianli Liu;Mohao Wu;Yixu Feng;Shuo Hou;Haotian Lin;Yu Zhu;Peng Wu;Wei Dong;Jinqiu Sun;Yanning Zhang;Qingsen Yan;Wenbin Zou;Weipeng Yang;Yunxiang Li;Qiaomu Wei;Tian Ye;Sixiang Chen;Zhao Zhang;Suiyi Zhao;Bo Wang;Yan Luo;Zhichao Zuo;Mingshen Wang;Junhu Wang;Yanyan Wei;Xiaopeng Sun;Yu Gao;Jiancheng Huang;Hongming Chen;Xiang Chen;Hui Tang;Yuanbin Chen;Yuanbo Zhou;Xinwei Dai;Xintao Qiu;Wei Deng;Qinquan Gao;Tong Tong;Mingjia Li;Jin Hu;Xinyu He;Xiaojie Guo;Sabarinathan Sabarinathan;K Uma;A Sasithradevi;B Sathya Bama;S. Mohamed Mansoor Roomi;V. Srivatsav;Jinjuan Wang;Long Sun;Qiuying Chen;Jiahong Shao;Yizhi Zhang;Marcos V. Conde;Daniel Feijoo;Juan C. Benito;Alvaro García;Jaeho Lee;Seongwan Kim;Sharif S M A;Nodirkhuja Khujaev;Roman Tsoy;Ali Murtaza;Uswah Khairuddin;Ahmad ’Athif Mohd Faudzi;Sampada Malagi;Amogh Joshi;Nikhil Akalwadi;Chaitra Desai;Ramesh Ashok Tabib;Uma Mudenagudi;Wenyi Lian;Wenjing Lian;Jagadeesh Kalyanshetti;Vijayalaxmi Ashok Aralikatti;Palani Yashaswini;Nitish Upasi;Dikshit Hegde;Ujwala Patil;Sujata C;Xingzhuo Yan;Wei Hao;Minghan Fu;Pooja Choksy;Anjali Sarvaiya;Kishor Upla;Kiran Raja;Hailong Yan;Yunkai Zhang;Baiang Li;Jingyi Zhang;Huan Zheng
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2024 | Conference Paper |
Cited by: Papers (18)
This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective network design or solution capable of generating brighter, clearer, and visually appealing results when dealing with a variety of conditions, including ultra-high resolution (4K and beyond), non-uniform illumination, backlig...Show More
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results
Xiaoning Liu;Zongwei Wu;Ao Li;Florin-Alexandru Vasluianu;Yulun Zhang;Shuhang Gu;Le Zhang;Ce Zhu;Radu Timofte;Zhi Jin;Hongjun Wu;Chenxi Wang;Haitao Ling;Yuanhao Cai;Hao Bian;Yuxin Zheng;Jing Lin;Alan Yuille;Ben Shao;Jin Guo;Tianli Liu;Mohao Wu;Yixu Feng;Shuo Hou;Haotian Lin;Yu Zhu;Peng Wu;Wei Dong;Jinqiu Sun;Yanning Zhang;Qingsen Yan;Wenbin Zou;Weipeng Yang;Yunxiang Li;Qiaomu Wei;Tian Ye;Sixiang Chen;Zhao Zhang;Suiyi Zhao;Bo Wang;Yan Luo;Zhichao Zuo;Mingshen Wang;Junhu Wang;Yanyan Wei;Xiaopeng Sun;Yu Gao;Jiancheng Huang;Hongming Chen;Xiang Chen;Hui Tang;Yuanbin Chen;Yuanbo Zhou;Xinwei Dai;Xintao Qiu;Wei Deng;Qinquan Gao;Tong Tong;Mingjia Li;Jin Hu;Xinyu He;Xiaojie Guo;Sabarinathan Sabarinathan;K Uma;A Sasithradevi;B Sathya Bama;S. Mohamed Mansoor Roomi;V. Srivatsav;Jinjuan Wang;Long Sun;Qiuying Chen;Jiahong Shao;Yizhi Zhang;Marcos V. Conde;Daniel Feijoo;Juan C. Benito;Alvaro García;Jaeho Lee;Seongwan Kim;Sharif S M A;Nodirkhuja Khujaev;Roman Tsoy;Ali Murtaza;Uswah Khairuddin;Ahmad ’Athif Mohd Faudzi;Sampada Malagi;Amogh Joshi;Nikhil Akalwadi;Chaitra Desai;Ramesh Ashok Tabib;Uma Mudenagudi;Wenyi Lian;Wenjing Lian;Jagadeesh Kalyanshetti;Vijayalaxmi Ashok Aralikatti;Palani Yashaswini;Nitish Upasi;Dikshit Hegde;Ujwala Patil;Sujata C;Xingzhuo Yan;Wei Hao;Minghan Fu;Pooja Choksy;Anjali Sarvaiya;Kishor Upla;Kiran Raja;Hailong Yan;Yunkai Zhang;Baiang Li;Jingyi Zhang;Huan Zheng
Year: 2024 | Conference Paper |
NTIRE 2024 Image Shadow Removal Challenge Report
Florin-Alexandru Vasluianu;Tim Seizinger;Zhuyun Zhou;Zongwei Wu;Cailian Chen;Radu Timofte;Wei Dong;Han Zhou;Yuqiong Tian;Jun Chen;Xueyang Fu;Xin Lu;Yurui Zhu;Xi Wang;Dong Li;Jie Xiao;Yunpeng Zhang;Zheng-Jun Zha;Zhao Zhang;Suiyi Zhao;Bo Wang;Yan Luo;Yanyan Wei;Zhihao Zhao;Long Sun;Tingting Yang;Jinshan Pan;Jiangxin Dong;Jinhui Tang;Bilel Benjdira;Mohammed Nassif;Anis Koubaa;Ahmed Elhayek;Anas M. Ali;Kyotaro Tokoro;Kento Kawai;Kaname Yokoyama;Takuya Seno;Yuki Kondo;Norimichi Ukita;Chenghua Li;Bo Yang;Zhiqi Wu;Gao Chen;Yihan Yu;Sixiang Chen;Kai Zhang;Tian Ye;Wenbin Zou;Yunlong Lin;Zhaohu Xing;Jinbin Bai;Wenhao Chai;Lei Zhu;Ritik Maheshwari;Rakshank Verma;Rahul Tekchandani;Praful Hambarde;Satya Narayan Tazi;Santosh Kumar Vipparthi;Subrahmanyam Murala;Jaeho Lee;Seongwan Kim;Sharif S M A;Nodirkhuja Khujaev;Roman Tsoy;Fan Gao;Weidan Yan;Wenze Shao;Dengyin Zhang;Bin Chen;Siqi Zhang;Yanxin Qian;Yuanbin Chen;Yuanbo Zhou;Tong Tong;Rongfeng Wei;Ruiqi Sun;Yue Liu;Nikhil Akalwadi;Amogh Joshi;Sampada Malagi;Chaitra Desai;Ramesh Ashok Tabib;Uma Mudenagudi;Ali Murtaza;Uswah Khairuddin;Ahmad ’Athif Mohd Faudzi;Adinath Dukre;Vivek Deshmukh;Shruti S. Phutke;Ashutosh Kulkarni;Santosh Kumar Vipparthi;Anil Gonde;Subrahmanyam Murala;Arun karthik K;Manasa N;Shri Hari Priya;Wei Hao;Xingzhuo Yan;Minghan Fu
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2024 | Conference Paper |
Cited by: Papers (21)
This work reviews the results of the NTIRE 2024 Challenge on Shadow Removal. Building on the last year edition, the current challenge was organized in two tracks, with a track focused on increased fidelity reconstruction, and a separate ranking for high performing perceptual quality solutions. Track 1 (fidelity) had 214 registered participants, with 17 teams submitting in the final phase, while Tr...Show More
NTIRE 2024 Image Shadow Removal Challenge Report
Florin-Alexandru Vasluianu;Tim Seizinger;Zhuyun Zhou;Zongwei Wu;Cailian Chen;Radu Timofte;Wei Dong;Han Zhou;Yuqiong Tian;Jun Chen;Xueyang Fu;Xin Lu;Yurui Zhu;Xi Wang;Dong Li;Jie Xiao;Yunpeng Zhang;Zheng-Jun Zha;Zhao Zhang;Suiyi Zhao;Bo Wang;Yan Luo;Yanyan Wei;Zhihao Zhao;Long Sun;Tingting Yang;Jinshan Pan;Jiangxin Dong;Jinhui Tang;Bilel Benjdira;Mohammed Nassif;Anis Koubaa;Ahmed Elhayek;Anas M. Ali;Kyotaro Tokoro;Kento Kawai;Kaname Yokoyama;Takuya Seno;Yuki Kondo;Norimichi Ukita;Chenghua Li;Bo Yang;Zhiqi Wu;Gao Chen;Yihan Yu;Sixiang Chen;Kai Zhang;Tian Ye;Wenbin Zou;Yunlong Lin;Zhaohu Xing;Jinbin Bai;Wenhao Chai;Lei Zhu;Ritik Maheshwari;Rakshank Verma;Rahul Tekchandani;Praful Hambarde;Satya Narayan Tazi;Santosh Kumar Vipparthi;Subrahmanyam Murala;Jaeho Lee;Seongwan Kim;Sharif S M A;Nodirkhuja Khujaev;Roman Tsoy;Fan Gao;Weidan Yan;Wenze Shao;Dengyin Zhang;Bin Chen;Siqi Zhang;Yanxin Qian;Yuanbin Chen;Yuanbo Zhou;Tong Tong;Rongfeng Wei;Ruiqi Sun;Yue Liu;Nikhil Akalwadi;Amogh Joshi;Sampada Malagi;Chaitra Desai;Ramesh Ashok Tabib;Uma Mudenagudi;Ali Murtaza;Uswah Khairuddin;Ahmad ’Athif Mohd Faudzi;Adinath Dukre;Vivek Deshmukh;Shruti S. Phutke;Ashutosh Kulkarni;Santosh Kumar Vipparthi;Anil Gonde;Subrahmanyam Murala;Arun karthik K;Manasa N;Shri Hari Priya;Wei Hao;Xingzhuo Yan;Minghan Fu
Year: 2024 | Conference Paper |
Learning Diffusion Texture Priors for Image Restoration
Tian Ye;Sixiang Chen;Wenhao Chai;Zhaohu Xing;Jing Qin;Ge Lin;Lei Zhu
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2024 | Conference Paper |
Diffusion Models have shown remarkable performance in image generation tasks, which are capable of generating diverse and realistic image content. When adopting diffusion models for image restoration, the crucial challenge lies in how to preserve high-level image fidelity in the random-ness diffusion process and generate accurate background structures and realistic texture details. In this paper, ...Show More
A USRP-Based Testbed for Spectrum Sensing and Spectrum Sharing
Sixiang Chen;Bowen Zhang;Ming Xu;Hongtao Liang;Lu Yuan;Fuhui Zhou
2024 IEEE International Workshop on Radio Frequency and Antenna Technologies (iWRF&AT)
Year: 2024 | Conference Paper |
As the development of 6G progresses, inherent contradiction between the limited nature of spectrum resources and the boundless demands becomes increasingly apparent. In response, efforts have been made to explore efficient spectrum management approaches emphasizing coexistence and sharing. In this article, an experimental testbed for spectrum sensing and spectrum sharing is implemented on USRP and...Show More
Adverse Weather Removal with Codebook Priors
Tian Ye;Sixiang Chen;Jinbin Bai;Jun Shi;Chenghao Xue;Jingxia Jiang;Junjie Yin;Erkang Chen;Yun Liu
2023 IEEE/CVF International Conference on Computer Vision (ICCV)
Year: 2023 | Conference Paper |
Cited by: Papers (10)
Despite recent advancements in unified adverse weather removal methods, there remains a significant challenge of achieving realistic fine-grained texture and reliable background reconstruction to mitigate serious distortions.Inspired by recent advancements in codebook and vector quantization (VQ) techniques, we present a novel Adverse Weather Removal network with Codebook Priors (AWRCP) to address...Show More
Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks
2023 IEEE/CVF International Conference on Computer Vision (ICCV)
Year: 2023 | Conference Paper |
Cited by: Papers (16)
In the real world, image degradations caused by rain often exhibit a combination of rain streaks and raindrops, thereby increasing the challenges of recovering the underlying clean image. Note that the rain streaks and raindrops have diverse shapes, sizes, and locations in the captured image, and thus modeling the correlation relationship between irregular degradations caused by rain artifacts is ...Show More
RSFDM-Net: Real-Time Spatial and Frequency Domains Modulation Network for Underwater Image Enhancement
Jingxia Jiang;Jinbin Bai;Yun Liu;Junjie Yin;Sixiang Chen;Tian Ye;Erkang Chen
2023 IEEE International Conference on Image Processing (ICIP)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
Underwater images typically experience mixed degradations of brightness and structure caused by the absorption and scattering of light by suspended particles. To address this issue, we propose a Real-time Spatial and Frequency Domains Modulation Network (RSFDM-Net) for the efficient enhancement of colors and details in underwater images. Specifically, our proposed conditional network is designed w...Show More
DEHRFormer: Real-Time Transformer for Depth Estimation and Haze Removal from Varicolored Haze Scenes
Sixiang Chen;Tian Ye;Jun Shi;Yun Liu;JingXia Jiang;Erkang Chen;Peng Chen
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2023 | Conference Paper |
Cited by: Papers (4)
Varicolored haze caused by chromatic casts poses haze removal and depth estimation challenges. Recent learning-based depth estimation methods are mainly targeted at dehazing first and estimating depth subsequently from haze-free scenes. This way, the inner connections between colored haze and scene depth are lost. In this paper, we propose a real-time transformer for simultaneous single image Dept...Show More
DEHRFormer: Real-Time Transformer for Depth Estimation and Haze Removal from Varicolored Haze Scenes
Sixiang Chen;Tian Ye;Jun Shi;Yun Liu;JingXia Jiang;Erkang Chen;Peng Chen
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2023 | Conference Paper |
MSP-Former: Multi-Scale Projection Transformer for Single Image Desnowing
Sixiang Chen;Tian Ye;Yun Liu;Taodong Liao;Jingxia Jiang;Erkang Chen;Peng Chen
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2023 | Conference Paper |
Cited by: Papers (14)
Snow removal causes challenges due to its characteristic of complex degradations. To this end, targeted treatment of multi-scale snow degradations is critical for the network to learn effective snow removal. In order to handle the diverse scenes, we propose a multi-scale projection transformer (MSP-Former), which understands and covers a variety of snow degradation features in a multi-path manner,...Show More
Underwater Light Field Retention : Neural Rendering for Underwater Imaging
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2022 | Conference Paper |
Cited by: Papers (20)
Underwater Image Rendering aims to generate a true-to-life underwater image from a given clean one, which could be applied to various practical applications such as underwater image enhancement, camera filter, and virtual gaming. We explore two less-touched but challenging problems in underwater image rendering, namely, i) how to render diverse underwater scenes by a single neural network? ii) how...Show More
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.