Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Byungyeon Kang"'
Autor:
Wassim Hamidouche, Byungyeon Kang, Shuwei Shi, Yujiu Yang, Junlin Li, Pengfei Sun, Jose Costa Pereira, Kele Xu, Hiroaki Akutsu, Hai Wang, Koki Tsubota, Yiting Liao, William Thong, Hengliang Luo, Longtao Feng, Jingyu Guo, Yuqing Hou, Yu Qiao, Sung-Jun Yoon, Jimmy Ren, Tao Zhang, Yang Li, Bin Yi, Yifan Chen, Jinjin Gu, Ali Royat, Steven McDonagh, Shuhang Gu, Junwoo Lee, Kiyoharu Aizawa, Lehan Yang, Sewoong Ahn, Weihao Xia, Qingyan Bai, Haiyang Guo, Zirui Wang, Mingdeng Cao, Qing Zhang, Jiahao Wang, Wenming Yang, Sid Ahmed Fezza, Haoming Cai, Dounia Hammou, Ales Leonardis, Radu Timofte, Hengxing Cai, Manri Cheon, Seyed Mehdi Ayyoubzadeh, Chao Dong, Gwangjin Yoon
Publikováno v:
CVPR Workshops
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2021. As a new type of image processing techno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cd2eb5a3a1d660da7fb6cd6f60817a6
https://doi.org/10.1109/cvprw53098.2021.00077
https://doi.org/10.1109/cvprw53098.2021.00077
Publikováno v:
CVPR Workshops
In this paper, we propose an image quality transformer (IQT) that successfully applies a transformer architecture to a perceptual full-reference image quality assessment (IQA) task. Perceptual representation becomes more important in image quality as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41b808053851277dfde377436298c2b8
http://arxiv.org/abs/2104.14730
http://arxiv.org/abs/2104.14730
Autor:
Manri Cheon, Jechang Jeong, Bolun Zheng, Radu Timofte, Ziyao Zong, P.S. Hrishikesh, Xiaohong Liu, Byungyeon Kang, Florian Lemarchand, Sangmin Kim, Jun Chen, Dejia Xu, Gregory G. Slabaugh, Yuan Xie, Nan Nan, Ashish Sinha, Cuihua Li, Ming Hong, Jisu Kim, Xiaotong Luo, Yihao Chu, Densen Puthussery, Erwan Nogues, Hyungjoon Nam, Sung-Jun Yoon, Maxime Pelcat, Jian Yang, Sabari Nathan, Shuai Liu, Yanyun Qu, Chenghua Li, S. Mohamed Mansoor Roomi, Qingyan Sun, Jiangtao Zhang, Shanxin Yuan, Zhenyong Fu, Linhui Dai, Xi Cheng, Hyunkook Park, An Gia Vien, Xuan Zhao, Ales Leonardis, C.V. Jiji, Junwoo Lee, Chul Lee, M. Parisa Beham
Publikováno v:
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020, Jun 2020, Seattle, United States. pp.1882-1893, ⟨10.1109/CVPRW50498.2020.00238⟩
CVPR Workshops
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020, Jun 2020, Seattle, United States. pp.1882-1893, ⟨10.1109/CVPRW50498.2020.00238⟩
CVPR Workshops
International audience; This paper reviews the Challenge on Image Demoireing that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2020. Demoireing is a difficult task of removing moire p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d8939a7ea345ebf9f78a12023c7387e
https://hal.science/hal-03102720
https://hal.science/hal-03102720