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Dongliang He
Researcher at Seoul National University
Publications - 8
Citations - 285
Dongliang He is an academic researcher from Seoul National University. The author has contributed to research in topics: Video quality & Image restoration. The author has an hindex of 5, co-authored 8 publications receiving 172 citations. Previous affiliations of Dongliang He include Baidu & Hong Kong Polytechnic University.
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Proceedings ArticleDOI
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results
Jianrui Cai,Shuhang Gu,Radu Timofte,Lei Zhang,Xiao Liu,Ding Yukang,Dongliang He,Chao Li,Yi Fu,Shilei Wen,Ruicheng Feng,Jinjin Gu,Yu Qiao,Chao Dong,Dongwon Park,Se Young Chun,Sanghoon Yoon,Junhyung Kwak,Donghee Son,Syed Waqas Zamir,Aditya Arora,Salman H. Khan,Fahad Shahbaz Khan,Ling Shao,Zhengping Wei,Lei Liu,Hong Cai,Darui Li,Fujie Gao,Zheng Hui,Xiumei Wang,Xinbo Gao,Guoan Cheng,Ai Matsune,Qiuyu Li,Leilei Zhu,Huaijuan Zang,Shu Zhan,Yajun Qiu,Ruxin wang,Jiawei Li,Yongcheng Jing,Mingli Song,Pengju Liu,Kai Zhang,Jingdong Liu,Jiye Liu,Hongzhi Zhang,Wangmeng Zuo,Wenyi Tang,Jing Liu,Youngjung Kim,Changyeop Shin,Minbeom Kim,Sungho Kim,Pablo Navarrete Michelini,Hanwen Liu,Dan Zhu,Xuan Xu,Xin Li,Furui Bai,Xiaopeng Sun,Lin Zha,Yuanfei Huang,Wen Lu,Yanpeng Cao,Du Chen,Zewei He,Sun Anshun,Siliang Tang,Fan Hongfei,Xiang Li,Li Guo,Zhang Wenjie,Zhang Yumei,Qingwen He,Jinghui Qin,Lishan Huang,Yukai Shi,Pengxu Wei,Wushao Wen,Liang Lin,Jun Yu,Guochen Xie,Mengyan Li,Rong Chen,Xiaotong Luo,Chen Hong,Yanyun Qu,Cuihua Li,Zhi-Song Liu,Li-Wen Wang,Chu-Tak Li,Can Zhao,Bowen Li,Chung-Chi Tsai,Shang-Chih Chuang,Joon-Hee Choi,Joon-Soo Kim,Xiaoyun Jiang,Ze Pan,Qunbo Lv,Zheng Tan,Peidong He +103 more
TL;DR: The 3rd NTIRE challenge on single-image super-resolution (restoration of rich details in a low-resolution image) is reviewed with a focus on proposed solutions and results and the state-of-the-art in real-world single image super- 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 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
Ren Yang,Radu Timofte,Jing Liu,Yi Xu,Xinjian Zhang,Minyi Zhao,Shuigeng Zhou,Kelvin C.K. Chan,Shangchen Zhou,Xiangyu Xu,Chen Change Loy,Li Xin,Fanglong Liu,He Zheng,Lielin Jiang,Qi Zhang,Dongliang He,Fu Li,Qingqing Dang,Yibin Huang,Matteo Maggioni,Zhongqian Fu,Shuai Xiao,Cheng Li,Thomas Tanay,Fenglong Song,Wentao Chao,Qiang Guo,Yan Liu,Jiang Li,Xiaochao Qu,Dewang Hou,Jiayu Yang,Lyn Jiang,Di You,Zhenyu Zhang,Chong Mou,Iaroslav Koshelev,Pavel Ostyakov,Andrey Somov,Jia Hao,Xueyi Zou,Shijie Zhao,Xiaopeng Sun,Yiting Liao,Yuanzhi Zhang,Qing Wang,Gen Zhan,Mengxi Guo,Junlin Li,Ming Lu,Zhan Ma,Pablo Navarrete Michelini,Hai Wang,Yiyun Chen,Jingyu Guo,Liliang Zhang,Wenming Yang,Sijung Kim,Syehoon Oh,Yucong Wang,Minjie Cai,Wei Hao,Kangdi Shi,Liangyan Li,Jun Chen,Wei Gao,Wang Liu,Xiaoyu Zhang,Linjie Zhou,Sixin Lin,Ru Wang +71 more
TL;DR: The first NTIRE challenge on quality enhancement of compressed video as discussed by the authors has three tracks: Track 1 and 2 aim at enhancing the videos compressed by HEVC at a fixed QP, while Track 3 is de-signed for enhancing the video compressed by x265 at a variable bit-rate.
Proceedings ArticleDOI
NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results
Seungjun Nah,Radu Timofte,Shuhang Gu,Sungyong Baik,Seokil Hong,Gyeongsik Moon,Sanghyun Son,Kyoung Mu Lee,Wang Xintao,Kelvin C.K. Chan,Ke Yu,Chao Dong,Chen Change Loy,Yuchen Fan,Jiahui Yu,Ding Liu,Thomas S. Huang,Xiao Liu,Chao Li,Dongliang He,Ding Yukang,Shilei Wen,Fatih Porikli,Ratheesh Kalarot,Muhammad Haris,Greg Shakhnarovich,Norimichi Ukita,Peng Yi,Zhongyuan Wang,Kui Jiang,Junjun Jiang,Jiayi Ma,Hang Dong,Xinyi Zhang,Zhe Hu,Kwanyoung Kim,Dong Un Kang,Se Young Chun,Kuldeep Purohit,A.N. Rajagopalan,Yapeng Tian,Yulun Zhang,Yun Fu,Chenliang Xu,A. Murat Tekalp,M. Akin Yilmaz,Cansu Korkmaz,Manoj Sharma,Megh Makwana,Anuj Badhwar,Ajay Pratap Singh,Avinash Upadhyay,Rudrabha Mukhopadhyay,Ankit Shukla,Dheeraj Khanna,A. S. Mandal,Santanu Chaudhury,Si Miao,Yongxin Zhu,Xiao Huo +59 more
TL;DR: This paper reviews the first NTIRE challenge on video super-resolution (restoration of rich details in low-resolution video frames) with focus on proposed solutions and results and gauge the state-of-the-art in videosuper-resolution.
Proceedings ArticleDOI
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
Dario Fuoli,Zhiwu Huang,Martin Danelljan,Radu Timofte,Hua Wang,Longcun Jin,Dewei Su,Jing Liu,Jae Hoon Lee,Michal Kudelski,Lukasz Bala,Dmitry Hrybov,Marcin Mozejko,Muchen Li,Siyao Li,Bo Pang,Cewu Lu,Chao Li,Dongliang He,Fu Li,Shilei Wen +20 more
TL;DR: This paper reviews the NTIRE 2020 challenge on video quality mapping (VQM), which addresses the issues of quality mapping from source video domain to target video domain, and some existing methods are evaluated, showing promising solutions to the weakly-supervised videoquality mapping problem.