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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
11:35
Online Online A Note on Accurate Distress Image Classification of Road Structures Using Attention Map based on Text Data
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a correlation-aware attention branch network (CorABN) using multi-modal data for deterioration level... [more] MMS2021-4 ME2021-4 AIT2021-4
pp.17-21
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-20
10:15
Hokkaido Hokkaido Univ. A note on estimation of inspectors' visual attention using distress images of subway tunnels -- Trial introduction of deep learning-based saliency prediction methods --
Ryota Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents the first trial for estimating inspectors' visual attention of distress images in subway tunnels. Th... [more] MMS2019-30 HI2019-30 ME2019-52 AIT2019-30
pp.281-285
IIEEJ, AIT 2018-08-10
11:50
Nagano Shinshu Univ. Gaze Estimation based on Visual Attention Model
Sho Oi (Ritsumeikan Univ.), Mutsuo Sano (OIT), Hajime Tabuchi, Fumie Saito, Satoshi Umeda (Keio Univ.)
Gaze information about human is important to judge the attention function in the human. For example, gaze information du... [more] AIT2018-167
pp.57-60
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