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 15:50 |
Online |
online |
A Study on Region Estimation by Terminal Devices for Superimposing via Augmented Reality in Road Space Takayuki Abe, ShoTakahashi, Toru Hagiwara (Hokkaido Univ.) |
[more] |
MMS2022-30 ME2022-55 AIT2022-30 pp.355-358 |
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 |
BCT, IEICE-SIS |
2021-10-07 15:35 |
Online |
online |
[Invited Talk]
How to Use Artificial Intelligence Technology
-- Research Cases in Harmonious Engineering Systems Laboratory -- Tomohisa Yamashita (Hokkaido Univ.) |
[more] |
|
AIT, 3DMT, OSJ-HODIC |
2021-09-03 15:20 |
Online |
|
Compression Method of Object Light Data Using Fractal Compression in Computer-Generated Hologram Hiroki Oi, Yuji Sakamoto (Hokkaido Univ.) |
[more] |
AIT2021-137 3DIT2021-26 pp.17-20 |
IST, ME, IEICE-IE, IEICE-SIP, IEICE-BioX [detail] |
2021-06-04 13:30 |
Online |
Online |
[Invited Talk]
Interdisciplinary research and real-world applications based on multimedia AI technologies Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we introduce interdisciplinary research and real-world applications based on multimedia AI technologies. ... [more] |
IST2021-25 ME2021-56 pp.73-80 |
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 11:10 |
Online |
Online |
A Note on Distress Classification of High-resolution Subway Tunnel Images based on HRNet An Wang, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2021-3 ME2021-3 AIT2021-3 pp.13-16 |
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 13:00 |
Online |
Online |
A Note on Automatic Diagnosis of Helicobacter Pylori Infection Based on EfficientNet with Flooding Loss Guang Li, Ren Togo (Hokkaido Univ.), Katsuhiro Mabe (Junpukai Health Maintenance Center), Shunpei Nishida (Olympus), Yoshihiro Tomoda, Hikari Shimizu (Olympus Medical Systems), Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method for automatically diagnosing Helicobacter pylori (H. pylori) infection based on EfficientNe... [more] |
MMS2021-5 ME2021-5 AIT2021-5 pp.23-26 |
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18 13:25 |
Online |
Online |
A Note on Estimation of Semantic Content Based on a Question Answering Model Using Brain Activity Data while Viewing Images
-- Improvement of Estimation Performance Based on Fine-tuning of the VQA model -- Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose a semantic content estimation method based on a question and answer generation model using bra... [more] |
MMS2021-6 ME2021-6 AIT2021-6 pp.27-31 |
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18 13:50 |
Online |
Online |
Detecting axillary lymph node metastasis of breast cancer with FDG-PET/CT images based on attention mechanism Zongyao Li, Ren Togo, Kenji Hirata (Hokkaido Univ.), Kazuhiro Kitajima (Hyogo Med.), Junki Takenaka (Hokkaido Univ.), Yasuo Miyoshi (Hyogo Med.), Kohsuke Kudo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Determination of axillary nodal status is significant to treatment of breast cancer. Typically, the diagnosis of axillar... [more] |
MMS2021-7 ME2021-7 AIT2021-7 pp.33-36 |
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18 15:15 |
Online |
Online |
A Note on Action Detection Using Feature Representation via Self-Supervised Learning based on TCC
-- Effectiveness evaluation of parameters for action detection -- Tsuyoshi Masuda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2021-10 ME2021-10 AIT2021-10 pp.47-51 |
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 |