Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Zhenqiang Ying"'
Autor:
Xiangxu Yu, Zhengzhong Tu, Zhenqiang Ying, Alan Bovik, Neil Birkbeck, Yilin Wang, Balu Adsumilli
Publikováno v:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::903b5a73a04bf712fdae3a46dffc80c8
https://doi.org/10.1109/wacvw54805.2022.00013
https://doi.org/10.1109/wacvw54805.2022.00013
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198359
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d60dd76185d1d58873e5c6b63592d40
https://doi.org/10.1007/978-3-031-19836-6_19
https://doi.org/10.1007/978-3-031-19836-6_19
Publikováno v:
CVPR
No-reference (NR) perceptual video quality assessment (VQA) is a complex, unsolved, and important problem for social and streaming media applications. Efficient and accurate video quality predictors are needed to monitor and guide the processing of b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3f82e201b59ee888a38805befe26e94
https://doi.org/10.1109/cvpr46437.2021.01380
https://doi.org/10.1109/cvpr46437.2021.01380
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 29:968-981
Low-light image enhancement algorithms can improve the visual quality of low-light images and support the extraction of valuable information for some computer vision techniques. However, existing techniques inevitably introduce color and lightness di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::810b026ab209065cc147c28374b6a17d
https://doi.org/10.1109/tcsvt.2018.2828141
https://doi.org/10.1109/tcsvt.2018.2828141
Publikováno v:
CVPR
Blind or no-reference (NR) perceptual picture quality prediction is a difficult, unsolved problem of great consequence to the social and streaming media industries that impacts billions of viewers daily. Unfortunately, popular NR prediction models pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f4b0baecd130532a19d5b1ebcb57776
Publikováno v:
Computer Vision – ACCV 2018 ISBN: 9783030208721
ACCV (5)
ACCV (5)
Image translation is a burgeoning field in computer vision where the goal is to learn the mapping between an input image and an output image. However, most recent methods require multiple generators for modeling different domain mappings, which are i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3550da6c8788ddd3019ca92aede9364d
https://doi.org/10.1007/978-3-030-20873-8_22
https://doi.org/10.1007/978-3-030-20873-8_22
Publikováno v:
Advances in Multimedia Information Processing – PCM 2018 ISBN: 9783030007638
PCM (3)
PCM (3)
Underwater image processing is crucial for many practical applications in the ocean filed, which is not a trivial thing since the environment of underwater is often complicated and short of light. The major difficulty is that a captured image is fuzz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59f0462801d067b31570bea5ddcfb893
https://doi.org/10.1007/978-3-030-00764-5_14
https://doi.org/10.1007/978-3-030-00764-5_14
Publikováno v:
VCIP
Since the light will be absorbed and scattered when travels in water, underwater imaging exists three major difficulties, including color cast, under-exposure, and fuzz. The solutions to overcome those issues are important for the exploration of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fcd2fdde84c57b7ba21fadd287654c5
https://doi.org/10.1109/vcip.2017.8305027
https://doi.org/10.1109/vcip.2017.8305027
Publikováno v:
ICCV Workshops
Low-light images are not conducive to human observation and computer vision algorithms due to their low visibility. To solve this problem, many image enhancement techniques have been proposed. However, existing techniques inevitably introduce color a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccae1b35198b8e3241a97b479e97c139
https://doi.org/10.1109/iccvw.2017.356
https://doi.org/10.1109/iccvw.2017.356
Publikováno v:
ICASSP
Single materials have colors which form straight lines in RGB space. However, in severe shadow cases, those lines do not intersect the origin, which is inconsistent with the description of most literature. This paper is concerned with the detection a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee81985e8d2f7d0023499f2dbb14fcb8
https://doi.org/10.1109/icassp.2017.7952418
https://doi.org/10.1109/icassp.2017.7952418