J
Jaayeon Lee
Researcher at York University
Publications - Â 6
Citations - Â 102
Jaayeon Lee is an academic researcher from York University. The author has contributed to research in topics: Computer science & Real image. The author has an hindex of 2, co-authored 2 publications receiving 59 citations.
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Proceedings ArticleDOI
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
Abdelrahman Abdelhamed,Mahmoud Afifi,Radu Timofte,Michael S. Brown,Yue Cao,Zhilu Zhang,Wangmeng Zuo,Xiaoling Zhang,Jiye Liu,Wendong Chen,Changyuan Wen,Meng Liu,Shuailin Lv,Yunchao Zhang,Zhihong Pan,Baopu Li,Teng Xi,Yanwen Fan,Xiyu Yu,Gang Zhang,Jingtuo Liu,Han Junyu,Errui Ding,Songhyun Yu,Bumjun Park,Jechang Jeong,Shuai Liu,Ziyao Zong,Nan Nan,Chenghua Li,Zengli Yang,Long Bao,Shuangquan Wang,Dongwoon Bai,Jungwon Lee,Youngjung Kim,Kyeongha Rho,Changyeop Shin,Sungho Kim,Pengliang Tang,Yiyun Zhao,Yuqian Zhou,Yuchen Fan,Thomas S. Huang,Zhihao Li,Nisarg A. Shah,Wei Liu,Qiong Yan,Yuzhi Zhao,Marcin Mozejko,Tomasz Latkowski,Lukasz Treszczotko,Michal Szafraniuk,Krzysztof Trojanowski,Yanhong Wu,Pablo Navarrete Michelini,Fengshuo Hu,Yunhua Lu,Sujin Kim,Wonjin Kim,Jaayeon Lee,Jang-Hwan Choi,Magauiya Zhussip,Azamat Khassenov,Jong Hyun Kim,Hwechul Cho,Priya Kansal,Sabari Nathan,Zhangyu Ye,Xiwen Lu,Yaqi Wu,Jiangxin Yang,Yanlong Cao,Siliang Tang,Yanpeng Cao,Matteo Maggioni,Ioannis Marras,Thomas Tanay,Gregory G. Slabaugh,Youliang Yan,Myungjoo Kang,Han-Soo Choi,Kyungmin Song,Shusong Xu,Xiaomu Lu,Tingniao Wang,Chunxia Lei,Bin Liu,Rajat Gupta,Vineet Kumar +89 more
TL;DR: This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results, based on the SIDD benchmark.
Posted Content
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
Abdelrahman Abdelhamed,Mahmoud Afifi,Radu Timofte,Michael S. Brown,Yue Cao,Zhilu Zhang,Wangmeng Zuo,Xiaoling Zhang,Jiye Liu,Wendong Chen,Changyuan Wen,Meng Liu,Shuailin Lv,Yunchao Zhang,Zhihong Pan,Baopu Li,Teng Xi,Yanwen Fan,Xiyu Yu,Gang Zhang,Jingtuo Liu,Han Junyu,Errui Ding,Songhyun Yu,Bumjun Park,Jechang Jeong,Shuai Liu,Ziyao Zong,Nan Nan,Chenghua Li,Zengli Yang,Long Bao,Shuangquan Wang,Dongwoon Bai,Jungwon Lee,Youngjung Kim,Kyeongha Rho,Changyeop Shin,Sungho Kim,Pengliang Tang,Yiyun Zhao,Yuqian Zhou,Yuchen Fan,Thomas S. Huang,Zhihao Li,Nisarg A. Shah,Wei Liu,Qiong Yan,Yuzhi Zhao,Marcin Mozejko,Tomasz Latkowski,Lukasz Treszczotko,Michal Szafraniuk,Krzysztof Trojanowski,Yanhong Wu,Pablo Navarrete Michelini,Fengshuo Hu,Yunhua Lu,Sujin Kim,Wonjin Kim,Jaayeon Lee,Jang-Hwan Choi,Magauiya Zhussip,Azamat Khassenov,Jong Hyun Kim,Hwechul Cho,Priya Kansal,Sabari Nathan,Zhangyu Ye,Xiwen Lu,Yaqi Wu,Jiangxin Yang,Yanlong Cao,Siliang Tang,Yanpeng Cao,Matteo Maggioni,Ioannis Marras,Thomas Tanay,Gregory G. Slabaugh,Youliang Yan,Myungjoo Kang,Han-Soo Choi,Kyungmin Song,Shusong Xu,Xiaomu Lu,Tingniao Wang,Chunxia Lei,Bin Liu,Rajat Gupta,Vineet Kumar +89 more
TL;DR: The NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results is reviewed in this paper, where a total of 22 teams, proposing 24 methods, competed in the final phase of the challenge.
Journal ArticleDOI
Wavelet subband-specific learning for low-dose computed tomography denoising
TL;DR: A stationary wavelet transform-assisted network employing the characteristics of high- and low-frequency domains of the wave let transform and frequency subband-specific losses defined in the wavelet domain is proposed, which acquired denoised CT images with high perceptual quality using this strategy while minimizing the objective quality loss.
Journal ArticleDOI
Unsupervised Domain Adaptation for Low-Dose Computed Tomography Denoising
TL;DR: In this article , a domain adaptation approach was proposed for low-dose CT denoising. But the method requires a large number of training samples, which is impractical in real-world scenarios.