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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 10 of 10  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM 2022-03-11
14:15
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
pp.133-138
PRMU, IPSJ-CVIM 2022-03-11
14:30
Online Online Background Mixup Data Augmentation for Hand and Object-in-Contact Detection
Koya Tango, Takehiko Ohkawa, Ryosuke Furuta, Yoichi Sato (UTokyo) PRMU2021-82
Detecting the position of human hands and an object-in-contact from an image is vital for understanding a user’s actions... [more] PRMU2021-82
pp.139-144
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
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
16:20
Hokkaido Hokkaido Univ.
(Cancelled but technical report was issued)
[Special Talk] Neighbor-Aware Approaches for Pixel Labeling
Ryosuke Furuta (TUS), Naoto Inoue, Toshihiko Yamasaki (UT) ITS2019-45 IE2019-83
Pixel labeling is one of the most classical and important problems in the field of computer vision because it has a vari... [more] ITS2019-45 IE2019-83
p.239
IMQ, IE, MVE, CQ
(Joint) [detail]
2019-03-15
13:25
Kagoshima Kagoshima University Neighbor-aware Pixel-wise Reinforcement Learning for Image Processing
Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki (Univ. of Tokyo) IMQ2018-67 IE2018-151 MVE2018-98
(To be available after the conference date) [more] IMQ2018-67 IE2018-151 MVE2018-98
pp.245-250
CQ, MVE, IE, IMQ
(Joint) [detail]
2018-03-09
13:30
Okinawa Okinawa Industry Support Center Efficient and Interactive Image Retrieval Based on Semantic Segmentation
Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki (Univ. of Tokyo) IMQ2017-59 IE2017-151 MVE2017-101
This paper proposes an efficient image retrieval system. When users wish to retrieve images with semantic and spatial co... [more] IMQ2017-59 IE2017-151 MVE2017-101
pp.189-194
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-16
10:15
Hokkaido Hokkaido Univ. ITS2017-79 IE2017-111 Domain adaptation is critical for success in new and unseen environments.
Existing approaches for domain adaptation bas... [more]
ITS2017-79 IE2017-111
pp.235-238
PRMU, BioX 2017-03-20
17:35
Aichi   Object Detection Refinement Considering Context
Naoto Inoue, Ryosuke Furuta, Toshihiko Yamasaki, Kiyoharu Aizawa (The Univ. of Tokyo) BioX2016-54 PRMU2016-217
 [more] BioX2016-54 PRMU2016-217
pp.129-134
ITS, IE, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2016-02-23
10:15
Hokkaido Hokkaido Univ. Refinement of Multi-Label Classification Results using Class Relations Based on Higher-Order MRF
Ryosuke Furuta, Yusuke Fukushima, Toshihiko Yamasaki, Kiyoharu Aizawa (UT) ITS2015-76 IE2015-118
In multi-label classi cation problems, in which multiple labels are estimated for an input data, the simplest way is to ... [more] ITS2015-76 IE2015-118
pp.241-246
PRMU, CNR 2015-02-19
10:30
Miyagi   Stereo Matching using Particle Swarm Belief Propagation
Ryosuke Furuta, Toshihiko Yamasaki (UTokyo) PRMU2014-117 CNR2014-32
Stereo matching is recently formulated as a continuous labeling problem using the slanted plane model, which improves th... [more] PRMU2014-117 CNR2014-32
pp.31-36
 Results 1 - 10 of 10  /   
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