J
Jinshan Pan
Researcher at Seoul National University
Publications - 3
Citations - 1342
Jinshan Pan is an academic researcher from Seoul National University. The author has contributed to research in topics: Image restoration & Feature detection (computer vision). The author has an hindex of 3, co-authored 3 publications receiving 889 citations. Previous affiliations of Jinshan Pan include Politehnica University of Timișoara & University of California, Merced.
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Proceedings ArticleDOI
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results
Radu Timofte,Eirikur Agustsson,Luc Van Gool,Ming-Hsuan Yang,Lei Zhang,Bee Oh Lim,Sanghyun Son,Heewon Kim,Seungjun Nah,Kyoung Mu Lee,Xintao Wang,Yapeng Tian,Ke Yu,Yulun Zhang,Shixiang Wu,Chao Dong,Liang Lin,Yu Qiao,Chen Change Loy,Woong Bae,Jaejun Yoo,Yoseob Han,Jong Chul Ye,Jae-Seok Choi,Munchurl Kim,Yuchen Fan,Jiahui Yu,Wei Han,Ding Liu,Haichao Yu,Zhangyang Wang,Honghui Shi,Xinchao Wang,Thomas S. Huang,Yunjin Chen,Kai Zhang,Wangmeng Zuo,Zhimin Tang,Linkai Luo,Shaohui Li,Min Fu,Lei Cao,Wen Heng,Giang Bui,Truc Le,Ye Duan,Dacheng Tao,Ruxin Wang,Xu Lin,Jianxin Pang,Xu Jinchang,Yu Zhao,Xiangyu Xu,Jinshan Pan,Deqing Sun,Yujin Zhang,Xibin Song,Yuchao Dai,Xueying Qin,Xuan-Phung Huynh,Tiantong Guo,Hojjat Seyed Mousavi,Tiep H. Vu,Vishal Monga,Cristóvão Cruz,Karen Egiazarian,Vladimir Katkovnik,Rakesh Mehta,Arnav Kumar Jain,Abhinav Agarwalla,Ch V. Sai Praveen,Ruofan Zhou,Hongdiao Wen,Che Zhu,Zhiqiang Xia,Zhengtao Wang,Qi Guo +76 more
TL;DR: This paper reviews the first challenge on single image super-resolution (restoration of rich details in an low resolution image) with focus on proposed solutions and results and gauges the state-of-the-art in single imagesuper-resolution.
Proceedings ArticleDOI
NTIRE 2021 Challenge on Image Deblurring
Seungjun Nah,Sanghyun Son,Suyoung Lee,Radu Timofte,Kyoung Mu Lee,Liangyu Chen,Jie Zhang,Xin Lu,Xiaojie Chu,Chengpeng Chen,Zhiwei Xiong,Ruikang Xu,Zeyu Xiao,Jie Huang,Yueyi Zhang,Si Xi,Jia Wei,Haoran Bai,Songsheng Cheng,Hao Wei,Long Sun,Jinhui Tang,Jinshan Pan,Donghyeon Lee,Chulhee Lee,Taesung Kim,Xiaobing Wang,Dafeng Zhang,Zhihong Pan,Tianwei Lin,Wenhao Wu,Dongliang He,Baopu Li,Boyun Li,Teng Xi,Gang Zhang,Jingtuo Liu,Junyu Han,Errui Ding,Guangpin Tao,Wenqing Chu,Yun Cao,Donghao Luo,Ying Tai,Tong Lu,Chengjie Wang,Jilin Li,Feiyue Huang,Hanting Chen,Shuaijun Chen,Tianyu Guo,Yunhe Wang,Syed Waqas Zamir,Aditya Arora,Salman Khan,Munawar Hayat,Fahad Shahbaz Khan,Ling Shao,Yushen Zuo,Yimin Ou,Yuanjun Chai,Lei Shi,Shuai Liu,Lei Lei,Chaoyu Feng,Kai Zeng,Yuying Yao,Xinran Liu,Zhizhou Zhang,Huacheng Huang,Yunchen Zhang,Mingchao Jiang,Wenbin Zou,Si Miao,Yangwoo Kim,Yuejin Sun,Senyou Deng,Wenqi Ren,Xiaochun Cao,Tao Wang,Maitreya Suin,A.N. Rajagopalan,Vinh Van Duong,Thuc Huu Nguyen,Jonghoon Yim,Byeungwoo Jeon,Ru Li,Junwei Xie,Jong-Wook Han,Jun-Ho Choi,Jun-Hyuk Kim,Jong-Seok Lee,Jiaxin Zhang,Fan Peng,David Svitov,Dmitry Pakulich,Jaeyeob Kim,Jechang Jeong +97 more
TL;DR: The NTIRE 2021 Challenge on Image Deblurring as mentioned in this paper focused on image deblurring, where both the tracks aim to recover a high-quality clean image from a blurry image, different artifacts are jointly involved.
Proceedings ArticleDOI
NTIRE 2019 Image Dehazing Challenge Report
Codruta O. Ancuti,Cosmin Ancuti,Radu Timofte,Luc Van Gool,Lei Zhang,Ming-Hsuan Yang,Tiantong Guo,Xuelu Li,Venkateswararao Cherukuri,Vishal Monga,Hao Jiang,Siyuan Yang,Yan Liu,Xiaochao Qu,Pengfei Wan,Dongwon Park,Se Young Chun,Ming Hong,Jinying Huang,Yizi Chen,Shuxin Chen,Bomin Wang,Pablo Navarrete Michelini,Hanwen Liu,Dan Zhu,Jing Liu,Sanchayan Santra,Ranjan Mondal,Bhabatosh Chanda,Peter Morales,Tzofi Klinghoffer,Le Manh Quan,Yong-Guk Kim,Xiao Liang,Runde Li,Jinshan Pan,Jinhui Tang,Kuldeep Purohit,Maitreya Suin,A. N. Rajagopalan,Raimondo Schettini,Simone Bianco,Flavio Piccoli,C. Cusano,Luigi Celona,Sunhee Hwang,Yu Seung Ma,Hyeran Byun,Subrahmanyam Murala,Akshay Dudhane,Harsh Aulakh,Tianxiang Zheng,Tao Zhang,Weining Qin,Runnan Zhou,Shanhu Wang,Jean-Philippe Tarel,Chuansheng Wang,Jiawei Wu +58 more
TL;DR: This paper reviews the second NTIRE challenge on image dehazing (restoration of rich details in hazy image) with focus on proposed solutions and results and gauge the state-of-the-art in imageDehazing.