Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Myungsub Choi"'
Publikováno v:
IEEE Access, Vol 10, Pp 9022-9035 (2022)
We formulate the visual tracking problem as a semi-supervised continual learning problem, where only an initial frame is labeled. In contrast to conventional meta-learning based approaches that regard visual tracking as an instance detection problem
Externí odkaz:
https://doaj.org/article/3063a4ad6a5040f7bfd5bb72f956a3d9
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:9615-9628
Video frame interpolation is a challenging problem that involves various scenarios depending on the variety of foreground and background motions, frame rate, and occlusion. Therefore, generalizing across different scenes is difficult for a single net
Publikováno v:
AAAI
Prevailing video frame interpolation techniques rely heavily on optical flow estimation and require additional model complexity and computational cost; it is also susceptible to error propagation in challenging scenarios with large motion and heavy o
Autor:
Myungsub Choi
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200588
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cee3e344caec67004b0853f84456f34
https://doi.org/10.1007/978-3-031-20059-5_36
https://doi.org/10.1007/978-3-031-20059-5_36
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Publikováno v:
WACV
Most conventional supervised super-resolution (SR) algorithms assume that low-resolution (LR) data is obtained by downscaling high-resolution (HR) data with a fixed known kernel, but such an assumption often does not hold in real scenarios. Some rece
Publikováno v:
CVPR
Video frame interpolation is a challenging problem because there are different scenarios for each video depending on the variety of foreground and background motion, frame rate, and occlusion. It is therefore difficult for a single network with fixed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce665ea964272e8b85ecf6668f32bbef
Autor:
Lior Aloni, Eyal Naor, Sanghyun Son, Munchurl Kim, Wenbo Bao, George Pisha, Lijie Zhang, Tong Liu, Yunhua Lu, Songhyun Yu, Wenxiu Sun, Seungjun Nah, Myungsub Choi, Guannan Chen, Xiangyu Xu, Wang Shen, Li Chen, Bum Jun Park, Ze Pan, Heewon Kim, Kyoung Mu Lee, Woonsung Park, Bohyung Han, Li Siyao, Zhiyong Gaon, Guangtao Zhai, Jechang Jeong, Radu Timofte, Ran Duan, Ning Xu, Sangmin Kim
Publikováno v:
ICCV Workshops
Videos contain various types and strengths of motions that may look unnaturally discontinuous in time when the recorded frame rate is low. This paper reviews the first AIM challenge on video temporal super-resolution (frame interpolation) with a focu
Publikováno v:
Computer Vision – ECCV 2018 ISBN: 9783030012243
ECCV (4)
ECCV (4)
Image downscaling is one of the most classical problems in computer vision that aims to preserve the visual appearance of the original image when it is resized to a smaller scale. Upscaling a small image back to its original size is a difficult and i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4622f87f63b05ef226c5ae3a31d3ab1
https://doi.org/10.1007/978-3-030-01225-0_25
https://doi.org/10.1007/978-3-030-01225-0_25