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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ITS, IEE-ITS |
2023-03-13 16:20 |
Chiba |
Nihon Univ., Funabashi Campus (Primary: On-site, Secondary: Online) |
Prediction of the Future Location of a Vehicle captured from the Dashboard Camera using Instance Segmentation Koki Ikeda, Takumi Uemura, Shuichi Ojima (Sojo Univ.) ITS2022-83 |
In recent years, the development of automated driving has been active in the automated driving industry, and Level 3 and... [more] |
ITS2022-83 pp.22-27 |
PRMU |
2022-12-15 15:30 |
Toyama |
Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Training Method for Image-based Instance Segmentation by Video-based Object-Centric Representation Learning Tomokazu Kaneko, Ryosuke Sakai, Soma Shiraishi (NEC) PRMU2022-40 |
Object-centric representation learning (OCRL) aims to separate and extract object-wise representations from an image.
... [more] |
PRMU2022-40 pp.43-48 |
PRMU, IPSJ-CVIM |
2022-03-11 16:40 |
Online |
Online |
Extended Panel Detection and Pixel-Wise Segmentation for Comic Editing Runtian Yu, Hikaru Ikuta, Yusuke Matsui, Kiyoharu Aizawa (UTokyo) PRMU2021-88 |
Comic panel extraction plays a significant role in various tasks such as comic editing. In this research, we first defin... [more] |
PRMU2021-88 pp.175-179 |
CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-09 09:45 |
Online |
Online (Zoom) |
Improving Weakly Supervised Instance Segmentation by Encoding Motion Information via Optical Flow Jun Ikeda, Junichiro Mori (UT) IMQ2021-15 IE2021-77 MVE2021-44 |
Weakly supervised instance segmentation is an important task that can significantly reduce the annotation cost of model ... [more] |
IMQ2021-15 IE2021-77 MVE2021-44 pp.27-32 |
MVE |
2021-09-17 14:30 |
Online |
Online |
Improving Mask Generation Accuracy Exploiting Optical Flow in Weakly Supervised Instance Segmentation Jun Ikeda, Junichiro Mori (UTokyo) MVE2021-15 |
Weakly supervised instance segmentation is important because it reduces the huge pixel-level annotation cost required to... [more] |
MVE2021-15 pp.38-43 |
LOIS |
2019-03-08 14:20 |
Okinawa |
Miyakojima-shi Central Community Center |
Examination of eye-camera image analysis method using Mask R-CNN Yuto Yoshikawa, Yukikazu Murakami (NIT, Kagawa), Kazuaki Shiraishi, Gai Shibahara (NIT,Toba) LOIS2018-76 |
In recent years, opportunities for new farmers to receive direct guidance from experienced farmers have been decreasing ... [more] |
LOIS2018-76 pp.121-125 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 13:40 |
Okinawa |
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MI2017-78 |
Diseases appearing in the spine include spondylolysis, spondylolisthesis, vertebral fracture, and the like. A preoperati... [more] |
MI2017-78 pp.43-44 |
PRMU, MVE, IPSJ-CVIM (Joint) [detail] |
2013-01-23 11:10 |
Kyoto |
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Co-segmentation based on Multiple-Instance Learning Jun Sakata, Toshikazu Wada (Wakayama Univ.) PRMU2012-90 MVE2012-55 |
Appearance learning of an object represented by a text can be realized by utilizing image retrieval systems on the Inter... [more] |
PRMU2012-90 MVE2012-55 pp.81-86 |
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