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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM 2022-03-11
Online Online Precise Affordance Annotation for Egocentric Action Video Datasets
Zecheng Yu, Yifei Huang, Ryosuke Furuta, Yusuke Goutsu, Yoichi Sato (Univ. of Tokyo) PRMU2021-81
Object affordance has attracted a growing interest in computer vision. It is an important concept that builds a bridge b... [more] PRMU2021-81
PRMU, IPSJ-CVIM 2020-03-16
(Cancelled but technical report was issued)
Egocentric Action Recognition on Noisy Videos
Lijin Yang, Yifei Huang, Yusuke Sugano, Yoichi Sato (UTokyo) PRMU2019-73
Egocentric videos in real-life setting (like vlogs on YouTube) are often flooded with outlier frames and content-irrelev... [more] PRMU2019-73
PRMU 2018-10-19
Kanagawa   Handling the Simulation-to-Reality Gap for Learning Systems of Real Robots: A Survey
() PRMU2018-68
(To be available after the conference date) [more] PRMU2018-68
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