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Chun, Se Young
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dc.citation.conferencePlace US -
dc.citation.title IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) -
dc.contributor.author Nah, Seungjun -
dc.contributor.author Timofte, Radu -
dc.contributor.author Gu, Shuhang -
dc.contributor.author Baik, Sungyong -
dc.contributor.author Hong, Seokil -
dc.contributor.author Moon, Gyeongsik -
dc.contributor.author Son, Sanghyun -
dc.contributor.author Lee, Kyoung Mu -
dc.contributor.author Wang, Xintao -
dc.contributor.author Chan, Kelvin C.K. -
dc.contributor.author Yu, Ke -
dc.contributor.author Dong, Chao -
dc.contributor.author Loy, Chen Change -
dc.contributor.author Fan, Yuchen -
dc.contributor.author Yu, Jiahui -
dc.contributor.author Liu, Ding -
dc.contributor.author Huang, Thomas S. -
dc.contributor.author Liu, Xiao -
dc.contributor.author Li, Chao -
dc.contributor.author He, Dongliang -
dc.contributor.author Ding, Y -
dc.contributor.author Wen, Shilei -
dc.contributor.author Porikli, Fatih -
dc.contributor.author Kalarot, Ratheesh -
dc.contributor.author Haris, Muhammad -
dc.contributor.author Shakhnarovich, Greg -
dc.contributor.author Ukita, Norimichi -
dc.contributor.author Yi, Peng -
dc.contributor.author Wang, Zhongyuan -
dc.contributor.author Jiang, Kui -
dc.contributor.author Jiang, Junjun -
dc.contributor.author Ma, Jiayi -
dc.contributor.author Dong, Hang -
dc.contributor.author Zhang, Xinyi -
dc.contributor.author Hu, Zhe -
dc.contributor.author Kim, Kwanyoung -
dc.contributor.author Kang, Dong Un -
dc.contributor.author Chun, Se Young -
dc.contributor.author Purohit, Kuldeep -
dc.contributor.author Rajagopalan, AN -
dc.contributor.author Tian, Yapeng -
dc.contributor.author Zhang, Yulun -
dc.contributor.author Fu, Yun -
dc.contributor.author Xu, Chenliang -
dc.contributor.author Tekalp, AM -
dc.contributor.author Yilmaz, M. Akin -
dc.contributor.author Korkmaz, Cansu -
dc.contributor.author Sharma, Manoj -
dc.contributor.author Makwana, Megh -
dc.contributor.author Badhwar, Anuj -
dc.contributor.author Singh, Ajay Pratap -
dc.contributor.author Upadhyay, Avinash -
dc.contributor.author Mukhopadhyay, Rudrabha -
dc.contributor.author Shukla, Ankit -
dc.contributor.author Khanna, Dheeraj -
dc.contributor.author Mandal, A.S. -
dc.contributor.author Chaudhury, Santanu -
dc.contributor.author Miao, Si -
dc.contributor.author Zhu, Yongxin -
dc.contributor.author Huo, Xiao -
dc.date.accessioned 2024-02-01T00:08:45Z -
dc.date.available 2024-02-01T00:08:45Z -
dc.date.created 2020-01-08 -
dc.date.issued 2019-06-17 -
dc.description.abstract 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. A new REalistic and Diverse Scenes dataset (REDS) was employed. The challenge was divided into 2 tracks. Track 1 employed standard bicubic downscaling setup while Track 2 had realistic dynamic motion blurs.
Each competition had 124 and 104 registered participants. There were total 14 teams in the final testing phase. They gauge the state-of-the-art in video super-resolution.
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dc.identifier.bibliographicCitation IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/79661 -
dc.publisher IEEE/CVF -
dc.title NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results -
dc.type Conference Paper -
dc.date.conferenceDate 2019-06-16 -

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