| 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 |