Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Qiaosi Yi"'
Publikováno v:
IET Image Processing, Vol 15, Iss 1, Pp 143-154 (2021)
Abstract Dehazing is a challenging ill‐posed image restoration task. Various prior‐based and learning‐based methods have been proposed. Among them, end‐to‐end deep models achieve great success on performance improvement. However, most of th
Externí odkaz:
https://doaj.org/article/223e3d2d52ca4466be6f5413bdf10d34
Publikováno v:
IEEE Access, Vol 8, Pp 54514-54521 (2020)
In order to alleviate adverse impacts of haze on high-level vision tasks, image dehazing attracts great attention from computer vision research field in recent years. Most of existing methods are grouped into physical prior based and non-physical dat
Externí odkaz:
https://doaj.org/article/20b7e32a2baf4f55a96647f8d2d1f1c0
Publikováno v:
IEEE Transactions on Multimedia. 24:3114-3128
Single image dehazing is a challenging ill-posed problem that has drawn significant attention in the last few years. Recently, convolutional neural networks have achieved great success in image dehazing. However, it is still difficult for these incre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8231bac0e57fed4db2bcb580a3ca942a
https://doi.org/10.1109/tmm.2021.3093724
https://doi.org/10.1109/tmm.2021.3093724
Autor:
Qingyu Yang, Guang Yang, Jun Jiang, Chongyi Li, Ruicheng Feng, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Chen Change Loy, Jinwei Gu, Zhen Wang, Daoyu Li, Yuzhe Zhang, Lintao Peng, Xuyang Chang, Yinuo Zhang, Yaqi Wu, Xun Wu, Zhihao Fan, Chengjie Xia, Feng Zhang, Haijin Zeng, Kai Feng, Yongqiang Zhao, Hiep Quang Luong, Jan Aelterman, Anh Minh Truong, Wilfried Philips, Xiaohong Liu, Jun Jia, Hanchi Sun, Guangtao Zhai, Longan Xiao, Qihang Xu, Ting Jiang, Qi Wu, Chengzhi Jiang, Mingyan Han, Xinpeng Li, Wenjie Lin, Youwei Li, Haoqiang Fan, Shuaicheng Liu, Rongyuan Wu, Lingchen Sun, Qiaosi Yi
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250712
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::589b034880da246c1d716e12ac2e1a43
https://doi.org/10.1007/978-3-031-25072-9_2
https://doi.org/10.1007/978-3-031-25072-9_2
Autor:
Qingyu Yang, Guang Yang, Jun Jiang, Chongyi Li, Ruicheng Feng, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Chen Change Loy, Jinwei Gu, Lingchen Sun, Rongyuan Wu, Qiaosi Yi, Rongjian Xu, Xiaohui Liu, Zhilu Zhang, Xiaohe Wu, Ruohao Wang, Junyi Li, Wangmeng Zuo, Faming Fang
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250712
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4cd3bc57ed278e75e6e1f1aabf52460
https://doi.org/10.1007/978-3-031-25072-9_3
https://doi.org/10.1007/978-3-031-25072-9_3
Publikováno v:
IET Image Processing, Vol 15, Iss 1, Pp 143-154 (2021)
Dehazing is a challenging ill‐posed image restoration task. Various prior‐based and learning‐based methods have been proposed. Among them, end‐to‐end deep models achieve great success on performance improvement. However, most of them are co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbd09fb80fa83458b32060d3ca79109f
https://doaj.org/article/223e3d2d52ca4466be6f5413bdf10d34
https://doaj.org/article/223e3d2d52ca4466be6f5413bdf10d34
Publikováno v:
IEEE Access, Vol 8, Pp 54514-54521 (2020)
In order to alleviate adverse impacts of haze on high-level vision tasks, image dehazing attracts great attention from computer vision research field in recent years. Most of existing methods are grouped into physical prior based and non-physical dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21ea1bd36e88a6aee984cab7926a8993
https://doi.org/10.1109/access.2020.2981491
https://doi.org/10.1109/access.2020.2981491
Publikováno v:
IEEE Signal Processing Letters. 27:406-410
This paper focuses on single image derain, which aims to restore clear image from single rain image. Through full consideration of different frequency information preservation and the complicated interactions between rain-streaks and background, a no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5bdfd816e919706b55bb611cada378e
https://doi.org/10.1109/lsp.2020.2974691
https://doi.org/10.1109/lsp.2020.2974691
Publikováno v:
ACM Multimedia
Under stereo settings, the problem of image super-resolution (SR) and disparity estimation are interrelated that the result of each problem could help to solve the other. The effective exploitation of correspondence between different views facilitate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67c637673f570958be0411e14983cf68
Publikováno v:
IJCNN
In this paper, we have proposed a static crowd scene analysis network via multi-branch dilated convolution block, called MDBNet. It focuses on a joint task of estimating crowd count and high-quality density map from static single image. The proposed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f518794028a171a885217ac1a9e393b6
https://doi.org/10.1109/ijcnn.2019.8851704
https://doi.org/10.1109/ijcnn.2019.8851704