Zobrazeno 1 - 8
of 8
pro vyhledávání: '"KwanYong Park"'
Publikováno v:
Machine Vision and Applications. 34
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fcb5ae45d62fe0963a010efd5c50c1f
https://doi.org/10.1007/s00138-023-01404-3
https://doi.org/10.1007/s00138-023-01404-3
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de528f4f1eaabf3e05ab3bd87d39acaf
https://doi.org/10.1109/wacv56688.2023.00575
https://doi.org/10.1109/wacv56688.2023.00575
Recently, memory-based approaches show promising results on semi-supervised video object segmentation. These methods predict object masks frame-by-frame with the help of frequently updated memory of the previous mask. Different from this per-frame in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d976637425e1cee1f325f4bbfc3702f
http://arxiv.org/abs/2208.01924
http://arxiv.org/abs/2208.01924
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198052
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1b71508ef27ae79e6576adbc8dfcdeb
https://doi.org/10.1007/978-3-031-19806-9_8
https://doi.org/10.1007/978-3-031-19806-9_8
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198052
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85e8af8ad204f09e1a854854e1b8340e
https://doi.org/10.1007/978-3-031-19806-9_14
https://doi.org/10.1007/978-3-031-19806-9_14
Unsupervised Domain Adaptation (UDA) for semantic segmentation has been actively studied to mitigate the domain gap between label-rich source data and unlabeled target data. Despite these efforts, UDA still has a long way to go to reach the fully sup
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b38b8bce40ad1dc70ff55458425f000
http://arxiv.org/abs/2108.05570
http://arxiv.org/abs/2108.05570
Publikováno v:
ACM Multimedia
In this paper, we investigate the problem of unpaired video-to-video translation. Given a video in the source domain, we aim to learn the conditional distribution of the corresponding video in the target domain, without seeing any pairs of correspond
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::197040f55266155c28b6125f8369390a
http://arxiv.org/abs/1908.07683
http://arxiv.org/abs/1908.07683
Autor:
Hui Chen, Shizhe Chen, Yang Chen, Amanda Duarte, Gelli Francesco, Trung-Hiếu Hoàng, Chia-Wei Hsieh, Michael Kerr, Saurabh Kumar, Yadan Luo, Kwanyong Park, K. R. Prajawal, Estêvão Bissoli Saleme, David Semedo, Junbo Wang, Xin Wang, Yitian Yuan, Zhengyu Zhao
Publikováno v:
ACM SIGMultimedia Records. 11:1-1
The annual ACM Multimedia Conference was held in Nice, France during October 21st to 25th, 2019. Being the 27th of its series, it attracted approximately 800 participants from all over the World. Among them were the student volunteers who supported t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b951871dc4f1dbd5486eb65a65a7d2ff
https://doi.org/10.1145/3530839.3530843
https://doi.org/10.1145/3530839.3530843