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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
15:50
Online online Statistical Analysis on Estimation of Laparoscopic Image Region of Interest Including Contrast Enhancement Based on Saliency Map
Norifumi Kawabata (Hokkaido Univ.), Toshiya Nakaguchi (Chiba Univ.)
In the medical field such as hospital, there are many chance for medical workers to see medical images visually. Therefo... [more]
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-22
16:45
Online online A Note on Accurate Distress Classification Using Deep Learning Considering Confidence in Attention map
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a note on accurate distress classification using deep learning considering confidence in attention m... [more] MMS2022-33 ME2022-58 AIT2022-33
pp.371-376
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
HI 2018-03-07
14:30
Tokyo Tokyo University of Agriculture and Technology A scan-path simulation model based on a probabilistic saliency map with receptive field properties of early visul system
Tomoya Okazaki, Takeshi Kohama (Kindai Univ.)
The distribution of gaze position while observing natural images has attracted attention as an evaluation index for the ... [more] HI2018-47
pp.13-16
HI, 3DMT 2016-03-08
14:00
Tokyo Tokyo University of Agriculture and Technology A gaze prediction model for scan-path simulation of free-viewing
Hiroki Yoshino, Takeshi Kohama (Kinki Univ.)
In the processes of gaze shifts on a visual object, cooperative behaviors of bottom-up attention and top–down atte... [more] HI2016-46 3DIT2016-5
pp.17-20
HI, 3DMT 2013-03-06
10:55
Tokyo Tokyo University of Agriculture and Technology A model for predicting gaze shifts considering scanned log of gazed positions
Mayo Yamasaki, Takeshi Kohama (Kinki Univ.)
In late years, the distribution of gaze on the media, such as Web contents, are applied to evaluate the attractiveness o... [more] HI2013-49 3DIT2013-17
pp.31-34
HI, 3DMT 2013-03-06
11:20
Tokyo Tokyo University of Agriculture and Technology A visual search model based on the spatio-temporal properties of visual attention in different feature domains.
Katsuya Yano, Takeshi Kohama (Kinki Univ.)
Previous saliency-based visual attention models dealt with the mechanism underlying attentional shifts in the early visu... [more] HI2013-50 3DIT2013-18
pp.35-38
IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] 2013-02-18
16:00
Hokkaido Hokkaido Univ. Automatic Detection of Major Objects in an Image Based on Visual Attention Model
Jiro Ishitobi, Koh YuenShyuan, Junji Maeda (Muroran IT)
The purpose of this research is the automatic detection of major objects in a still image. To develop the
techniques of... [more]

HI 2011-03-15
16:30
Tokyo Tokyo Univ. of Tech. Saliency map model for visual attention in depth
Taiki Gochi, Takeshi Kohama (Kinki Univ.)
Previous saliency-based visual attention models dealt with the mechanism underlying attentional shifts in the early visu... [more] HI2011-37
pp.31-34
 Results 1 - 9 of 9  /   
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