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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM 2022-03-10
09:15
Online Online Unsupervised adaptation of appearance-based gaze estimation models for domains with different label distributions.
Takuru Shimoyama, Yusuke Sugano (The Univ. of Tokyo) PRMU2021-61
The annotation of gaze estimation is time-consuming, and it is not easy to collect training data under the exact same li... [more] PRMU2021-61
pp.7-12
PRMU 2021-12-16
11:15
Online Online A Dataset for Work Instruction Deviation Detection from Field Work Videos
Ryosuke Furuta (UTokyo), Motohiro Takagi (NTT), Yusuke Sugano, Yoichi Sato (UTokyo) PRMU2021-30
It is important to follow the work instruction manuals for field workers in order to protect them from accidents. In thi... [more] PRMU2021-30
pp.37-42
PRMU, IPSJ-CVIM 2021-03-05
16:10
Online Online Cross-view Non-local Neural Networks for Joint Representation Learning between First and Third Person Videos
Zhehao Zhu, Yusuke Sugano, Yoichi Sato (UTokyo) PRMU2020-99
This paper introduces a cross-view non-local neural network to learn joint representations for understandinghuman activi... [more] PRMU2020-99
pp.170-175
PRMU, IPSJ-CVIM 2020-03-16
14:55
Kyoto
(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
pp.45-50
PRMU, BioX 2018-03-18
17:10
Tokyo   BioX2017-54 PRMU2017-190 (To be available after the conference date) [more] BioX2017-54 PRMU2017-190
pp.109-114
PRMU 2014-03-13
09:00
Tokyo   Image Preference Estimation with Gaze and Image Features
Yasunori Ozaki, Yusuke Sugano, Yoichi Sato (Univ. of Tokyo) PRMU2013-168
In this work, we report the result of the estimation for user's image preference by computer with gaze information and i... [more] PRMU2013-168
pp.1-6
HIP 2011-02-22
15:10
Okinawa Okinawa International Univ. Evaluating Conventional Saliency Map Models for Estimating Human Egocentric Visual Attention
Kentaro Yamada, Yusuke Sugano, Takahiro Okabe, Yoichi Sato (The Univ. of Tokyo), Akihiro Sugimoto (NII), Kazuo Hiraki (The Univ. of Tokyo) HIP2010-94
The validity of using conventional saliency map models to predict human attention was investigated for video captured wi... [more] HIP2010-94
pp.81-86
 Results 1 - 7 of 7  /   
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