Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21 15:05 |
Online |
online |
A Note on Personalized Saliency Prediction Based on User Similarity Considering Object Information in Images Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a personalized saliency map (PSM) prediction method using a small amount of gaze data based on user ... [more] |
MMS2022-26 ME2022-51 AIT2022-26 pp.181-186 |
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21 15:20 |
Online |
online |
A Note on Electron Microscope Image Generation from Mix Proportion and Material Property via Generative Adversarial Network for Rubber Materials Rintaro Yanagi, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Estimating the properties of rubber materials from ingredients is necessary to accelerate rubber material development. A... [more] |
MMS2022-27 ME2022-52 AIT2022-27 pp.187-191 |
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22 15:20 |
Online |
online |
A Note on Perceived Visual Content Estimation Based on Compressed Reconstruction Network Using Brain Signals While Gazing on Images Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido University) |
In this paper, we propose a method to reconstruct a perceived image using brain signals obtained during gazing images. S... [more] |
MMS2022-28 ME2022-53 AIT2022-28 pp.349-353 |
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22 16:05 |
Online |
online |
A note on improvement of distress classification using noise barrier images on highway via object detection method Yun Liang, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2022-31 ME2022-56 AIT2022-31 pp.359-363 |
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22 16:30 |
Online |
online |
Relevance Analysis between Bio-signals of Engineers Inspecting Subway Tunnels and Their Inspection Behaviors Kaito Hirasawa, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents relevance analysis between bio-signals of engineers inspecting subway tunnels and their inspection b... [more] |
MMS2022-32 ME2022-57 AIT2022-32 pp.365-370 |
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 |
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22 17:00 |
Online |
online |
A Note on Distress Detection based on Deep Learning with Hierarchical Multi-Scale Attention Mechanism for Supporting Maintenance of Subway Tunnels Saya Takada, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In maintenance of transportation infrastructures, advanced support technologies that can reduce the burden on engineers ... [more] |
MMS2022-34 ME2022-59 AIT2022-34 pp.377-381 |
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18 10:20 |
Online |
Online |
A Note on Improving Performance of Deep Learning-based Distress Detection for Supporting Maintenance of Subway Tunnels
-- Accuracy Verification Focusing on Tunnel Wall Characteristics -- Tomoki Haruyama, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents the performance improvement of deep learning-based distress detection to support the maintenance of ... [more] |
MMS2021-1 ME2021-1 AIT2021-1 pp.1-6 |
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18 10:45 |
Online |
Online |
A Note on Estimation of Expert-Novice Level Based on Eye Tracking and Motion Data from Engineers While Inspecting Subway Tunnel Yusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents estimation of expert-novice levels based on eye tracking and motion data obtained while engineers in... [more] |
MMS2021-2 ME2021-2 AIT2021-2 pp.7-12 |
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 |
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18 16:15 |
Online |
Online |
A Note on Cross-domain Recommendation Based on Multilayer Graph Analysis with Visual Features Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa (Hokkaido Univ.), Satoshi Asamizu (NIT, Kushiro College), Miki Haseyama (Hokkaido Univ.) |
In this paper, we improve the accuracy of cross-domain recommendation methods, which have been recently studied as a sol... [more] |
MMS2021-12 ME2021-12 AIT2021-12 pp.59-63 |
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18 16:40 |
Online |
Online |
A note on improvement of image sentiment analysis based on introduction of image captioning Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Recently, with the popularization of social network services, the images uploaded by users have been increasing. Users t... [more] |
MMS2021-13 ME2021-13 AIT2021-13 pp.65-69 |
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18 17:05 |
Online |
Online |
A Note on Prediction of Important Scenes in Baseball Videos via Multimodal Variational Autoencoder Using Tweets and Videos Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a prediction method of important scenes in baseball videos based on multimodal variational autoencod... [more] |
MMS2021-14 ME2021-14 AIT2021-14 pp.71-75 |
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-19 14:05 |
Online |
Online |
[Special Talk]
A Note on Discrimination of Road Surface Conditions Based on Deep Learning Using Road Images Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we study the discrimination of road surface conditions based on deep learning using images captured by fi... [more] |
MMS2021-21 ME2021-21 AIT2021-21 pp.165-169 |
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27 13:00 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
A Note on Retrieval of Similar Images for Supporting Maintenance of Subway Tunnels
-- Introduction of Distance Metric Learning Reflecting Inspectors' Evaluation -- Yui Matsumoto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2020-9 HI2020-9 ME2020-37 AIT2020-9 pp.47-50 |
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27 13:15 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
A Note on Improvement of Reliability of Distress Image Classification for Efficient Maintenance of Road Structures Kazaha Horii, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2020-10 HI2020-10 ME2020-38 AIT2020-10 pp.51-56 |
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27 15:10 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
A note on estimation of gaze features for human emotion estimation while viewing images Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method for estimation of gaze features for human emotion estimation while viewing images. In the p... [more] |
MMS2020-17 HI2020-17 ME2020-45 AIT2020-17 pp.85-89 |
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27 15:40 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
A Note on Analysis of Gaze Data and Skills of Inspectors in Distress Assessment of Road Structures Taiga Matsui, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2020-19 HI2020-19 ME2020-47 AIT2020-19 pp.97-100 |
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27 15:55 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
A Note on Classification of Experienced and Novice Inspectors Based on Bio-signals While Inspecting in Subway Tunnels Tetsuya Kushima, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents classification of experienced and novice inspectors based on bio-signals while inspecting in subway ... [more] |
MMS2020-20 HI2020-20 ME2020-48 AIT2020-20 pp.101-105 |
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-28 14:35 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
[Special Talk]
Introduction of Advanced AI Technology for Efficient Maintenance Inspection of Social Infrastructure
-- Performance Improvement of Distress Image Classification Utilizing Inspection Data -- Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2020-45 HI2020-45 ME2020-73 AIT2020-45 pp.359-362 |