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Sökning: WFRF:(Zamir Syed Waqas) > NTIRE 2022 Burst Su...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00007363naa a2201069 4500
001oai:DiVA.org:liu-190497
003SwePub
008221213s2022 | |||||||||||000 ||eng|
024a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1904972 URI
024a https://doi.org/10.1109/CVPRW56347.2022.001172 DOI
040 a (SwePub)liu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a kon2 swepub-publicationtype
100a Bhat, Goutamu Swiss Fed Inst Technol, Switzerland4 aut
2451 0a NTIRE 2022 Burst Super-Resolution Challenge
264 1b IEEE,c 2022
338 a print2 rdacarrier
500 a Funding Agencies|Huawei; Reality Labs; Bending Spoons; MediaTek; OPPO; Oddity; Voyage81; ETH Zurich (Computer Vision Lab); University of Wurzburg (CAIDAS)
520 a Burst super-resolution has received increased attention in recent years due to its applications in mobile photography. By merging information from multiple shifted images of a scene, burst super-resolution aims to recover details which otherwise cannot be obtained using a simple input image. This paper reviews the NTIRE 2022 challenge on burst super-resolution. In the challenge, the participants were tasked with generating a clean RGB image with 4x higher resolution, given a RAW noisy burst as input. That is, the methods need to perform joint denoising, demosaicking, and super-resolution. The challenge consisted of 2 tracks. Track 1 employed synthetic data, where pixel-accurate high-resolution ground truths are available. Track 2 on the other hand used real-world bursts captured from a handheld camera, along with approximately aligned reference images captured using a DSLR. 14 teams participated in the final testing phase. The top performing methods establish a new state-of-the-art on the burst super-resolution task.
650 7a NATURVETENSKAPx Data- och informationsvetenskapx Datorseende och robotik0 (SwePub)102072 hsv//swe
650 7a NATURAL SCIENCESx Computer and Information Sciencesx Computer Vision and Robotics0 (SwePub)102072 hsv//eng
700a Danelljan, Martinu Swiss Fed Inst Technol, Switzerland4 aut
700a Timofte, Raduu Swiss Fed Inst Technol, Switzerland; Julius Maximilian Univ Wurzburg, Germany4 aut
700a Cao, Yizhenu Commun Univ China, Peoples R China4 aut
700a Cao, Yuntianu Commun Univ China, Peoples R China4 aut
700a Chen, Meiyau Xiaomi, Peoples R China4 aut
700a Chen, Xihaou USTC, Peoples R China; Univ Sci & Technol China, Peoples R China4 aut
700a Cheng, Shenu Megvii Technol, Peoples R China4 aut
700a Dudhane, Akshayu Mohamed Bin Zayed Univ AI MBZUAI, U Arab Emirates4 aut
700a Fan, Haoqiangu Megvii Technol, Peoples R China4 aut
700a Gang, Ruipengu UHDTV Res & Applicat Lab, Peoples R China4 aut
700a Gao, Jianu SRC B, Peoples R China4 aut
700a Gu, Yanu UESTC, Peoples R China4 aut
700a Huang, Jieu USTC, Peoples R China; Univ Sci & Technol China, Peoples R China4 aut
700a Huang, Liufengu South China Univ Technol, Peoples R China4 aut
700a Jo, Youngsuu Sogang Univ, South Korea4 aut
700a Kang, Sukjuu Sogang Univ, South Korea4 aut
700a Khan, Salmanu MBZUAI, U Arab Emirates; Australian Natl Univ ANU, Australia4 aut
700a Khan, Fahadu Linköpings universitet,Datorseende,Tekniska fakulteten,MBZUAI, U Arab Emirates4 aut0 (Swepub:liu)fahkh30
700a Kondo, Yukiu Toyota Technol Inst TTI, Japan4 aut
700a Li, Chenghuau Chinese Acad Sci, Peoples R China4 aut
700a Li, Fangyau Commun Univ China, Peoples R China4 aut
700a Li, Jinjingu Commun Univ China, Peoples R China4 aut
700a Li, Youweiu Megvii Technol, Peoples R China4 aut
700a Li, Zechaou Nanjing Univ Sci & Technol, Peoples R China4 aut
700a Liu, Chenmingu UHDTV Research and Application Laboratory4 aut
700a Liu, Shuaichengu Megvii Technol, Peoples R China; Univ Elect Sci & Technol China UESTC, Peoples R China4 aut
700a Liu, Zikunu SRC B, Peoples R China4 aut
700a Liu, Zhuomingu South China Univ Technol, Peoples R China4 aut
700a Luo, Ziweiu Megvii Technol, Peoples R China4 aut
700a Luo, Zhengxiongu CASIA, Peoples R China4 aut
700a Mehta, Nancyu Indian Inst Technol Ropar IIT Ropar, India4 aut
700a Murala, Subrahmanyamu Indian Inst Technol Ropar IIT Ropar, India4 aut
700a Nam, Yoonchanu Sogang Univ, South Korea4 aut
700a Nakatani, Chihirou Toyota Technol Inst TTI, Japan4 aut
700a Ostyakov, Pavelu Huawei, Peoples R China4 aut
700a Pan, Jinshanu Nanjing Univ Sci & Technol, Peoples R China4 aut
700a Song, Geu USTC, Peoples R China4 aut
700a Sun, Jianu Megvii Technol, Peoples R China4 aut
700a Sun, Longu Nanjing Univ Sci & Technol, Peoples R China4 aut
700a Tang, Jinhuiu Nanjing Univ Sci & Technol, Peoples R China4 aut
700a Ukita, Norimichiu Toyota Technol Inst TTI, Japan4 aut
700a Wen, Zhihongu Megvii Technol, Peoples R China4 aut
700a Wu, Qiu Megvii Technol, Peoples R China4 aut
700a Wu, Xiaoheu Harbin Inst Technol, Peoples R China4 aut
700a Xiao, Zeyuu USTC, Peoples R China; Univ Sci & Technol China, Peoples R China4 aut
700a Xiong, Zhiweiu USTC, Peoples R China; Univ Sci & Technol China, Peoples R China4 aut
700a Xu, Rongjianu Harbin Inst Technol, Peoples R China4 aut
700a Xu, Ruikangu USTC, Peoples R China; Univ Sci & Technol China, Peoples R China4 aut
700a Yan, Youliangu Huawei, Peoples R China4 aut
700a Yang, Jialinu WHU, Peoples R China4 aut
700a Yang, Wentaou South China Univ Technol, Peoples R China4 aut
700a Yang, Zhongbaou Nanjing Univ Sci & Technol, Peoples R China4 aut
700a Yasue, Fumau Toyota Technol Inst TTI, Japan4 aut
700a Yao, Mingdeu USTC, Peoples R China; Univ Sci & Technol China, Peoples R China4 aut
700a Yu, Leiu Megvii Technol, Peoples R China4 aut
700a Zhang, Congu Xiaomi, Peoples R China4 aut
700a Zamir, Syed Waqasu Incept Inst Artificial Intelligence IIAI, U Arab Emirates4 aut
700a Zhang, Jianxingu SRC B, Peoples R China4 aut
700a Zhang, Shuohaou Harbin Inst Technol, Peoples R China4 aut
700a Zhang, Zhiluu Harbin Inst Technol, Peoples R China4 aut
700a Zheng, Qianu Commun Univ China, Peoples R China4 aut
700a Zhou, Gaofengu Xiaomi, Peoples R China4 aut
700a Zhussip, Magauiyau Huawei, Peoples R China4 aut
700a Zou, Xueyiu Huawei, Peoples R China4 aut
700a Zuo, Wangmengu Harbin Inst Technol, Peoples R China4 aut
710a Swiss Fed Inst Technol, Switzerlandb Swiss Fed Inst Technol, Switzerland; Julius Maximilian Univ Wurzburg, Germany4 org
773t 2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2022)d : IEEEg , s. 1040-1060q <1040-1060z 9781665487399z 9781665487405
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-190497
8564 8u https://doi.org/10.1109/CVPRW56347.2022.00117

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