Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mingdeng Cao"'
Autor:
Mingdeng Cao, Zhihang Zhong, Yanbo Fan, Jiahao Wang, Yong Zhang, Jue Wang, Yujiu Yang, Yinqiang Zheng
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250620
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b7dc55016518b5a1221bb1c43f9b9eb
https://doi.org/10.1007/978-3-031-25063-7_20
https://doi.org/10.1007/978-3-031-25063-7_20
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Autor:
Zhihang Zhong, Mingdeng Cao, Xiao Sun, Zhirong Wu, Zhongyi Zhou, Yinqiang Zheng, Stephen Lin, Imari Sato
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200700
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::536ff9daef9ac7b3150a8706d1d2e858
https://doi.org/10.1007/978-3-031-20071-7_14
https://doi.org/10.1007/978-3-031-20071-7_14
Publikováno v:
SSRN Electronic Journal.
Autor:
Fei Yin, Yong Zhang, Xiaodong Cun, Mingdeng Cao, Yanbo Fan, Xuan Wang, Qingyan Bai, Baoyuan Wu, Jue Wang, Yujiu Yang
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197895
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::837ea453574bc7095d33c7cd561c5ee8
https://doi.org/10.1007/978-3-031-19790-1_6
https://doi.org/10.1007/978-3-031-19790-1_6
Video deblurring is still an unsolved problem due to the challenging spatio-temporal modeling process. While existing convolutional neural network-based methods show a limited capacity for effective spatial and temporal modeling for video deblurring.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c35b147d717351e27d7697a508be9898
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
Publikováno v:
CVPR Workshops
Image quality assessment (IQA) aims to assess the perceptual quality of images. The outputs of the IQA algorithms are expected to be consistent with human subjective perception. In image restoration and enhancement tasks, images generated by generati