Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI |
2023-11-16 15:10 |
Tottori |
(Primary: On-site, Secondary: Online) |
Unsupervised Domain Adaption for Object Detection on Manga Images from Different Periods Takara Taniguchi, Ryosuke Furuta (UTokyo) PRMU2023-20 |
[more] |
PRMU2023-20 pp.28-31 |
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 |
PRMU, IPSJ-CVIM |
2020-03-16 15:10 |
Kyoto |
(Cancelled but technical report was issued) |
[Short Paper]
Feature Point Matching by Cycle Consistency Naoaki Noguchi, Furuta Ryosuke, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa (UT) PRMU2019-74 |
(To be available after the conference date) [more] |
PRMU2019-74 pp.51-52 |
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 classication 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 |