| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| 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 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22
13:15 |
Online |
online |
Compressive Sensing MR Reconstruction Using Generative Adversarial Network and Fresnel Transform of Images
Shinya Abe, Kazuki Yamato, Satoshi Ito (Utsunomiya Univ.) |
In recent years, there has been several researches on reconstruction methods using deep learning, which can significantl... [more] |
MMS2022-37 ME2022-62 AIT2022-37
pp.393-396 |
| BCT, IEEE-BT |
2022-02-17
13:00 |
Online |
Online |
Autoencoder-based Pilot Pattern Design for CDL Channels
Yuta Yamada, Tomoaki Ohtsuki (Keio Univ.) |
In the pilot-based channel estimations, a large number of pilot signals enable an improvement in the channel estimation ... [more] |
BCT2022-13
pp.1-4 |
| ME |
2021-12-13
13:30 |
Online |
online |
Fusion model using MRI-based radiomics with deep learning feature for glioma IDH mutation predicting
Shi Xiaoyu, Zhang Xinran, Yiwamoto Yutaro (Ritsu Univ.), Jingliang Cheng, Jie Bai, Guohua Zhao (Department of Magnetic Resonance Imaging, The First Affiliated H), Chen yenwei (Ritsu Univ.) |
According to the 2016 World Health Organization classification scheme for gliomas, Isocitrate
dehydrogenase(IDH) statu... [more] |
ME2021-93
pp.21-24 |
| ME |
2021-12-13
15:20 |
Online |
online |
Automatic Generation of Viewpoint Change Video Using Consistent Regularized Generative Adversarial Networks
Kento Otsu (Ritsumeikan Univ.), Masataka Seo (Osaka Institute of Technology Osaka), Yen-Wei Chen (Ritsumeikan Univ.) |
Gaze plays an important role in conversation. However, in a video call system using a personal computer or the like, it ... [more] |
ME2021-96
pp.33-35 |
| IIEEJ, AIT |
2021-10-27
15:40 |
Osaka |
(Primary: On-site, Secondary: Online) |
Acquisition of Human's Memory Mechanism for Video Frames
Koki Nishimoto, Kimiaki Shirahama (Kindai Univ.) |
When a video is played back, humans understand the contents while unconsciously deciding whether to memorize each frame.... [more] |
AIT2021-145
pp.17-20 |
| BCT, IEICE-SIS |
2021-10-07
15:05 |
Online |
online |
A Method for Generating Pseudo-Captured Images to Evaluate the Performance of Data Embedding Techniques to Printed Images Using Mobile Devices
Masahiro Yasuda, Mitsuji Muneyasu, Soh Yoshida (Kansai Univ.) |
A data-embedding technique to printed images has been proposed. In this technique, the embedded data is retrieved from t... [more] |
|
| BCT, IEICE-SIS |
2021-10-08
10:00 |
Online |
online |
[Tutorial Lecture]
The Past and The Future of Explainable AI Techniques
Yoshitaka Kameya (Meijo Univ.) |
Machine learning models of high predictive performance, such as deep neural networks and ensemble models, now play a cen... [more] |
|
| BCT, IEEE-BT |
2021-09-03
13:35 |
Online |
Online |
Convolutional Radio Modulation Recognition Networks with Attention Models in Wireless Systems
Haohui Jia, Na Chen, Minoru Okada (NAIST) |
In modern wireless systems, deep learning (DL) shows promising performance for wireless signal processing. DL model driv... [more] |
BCT2021-35
pp.1-4 |
| IEICE-SDM, IEICE-ICD, IST [detail] |
2021-08-17
14:20 |
Online |
Online |
Study of an Event-Driven CMOS Image Sensor Using Deep Learning (2)
-- An A/D Converter with Low-Resolution and Power-Saving Operation Mode --
Koshiro Itsuki, Shunsuke Okura (Ritsumeikan Univ.) |
With the progress of the IoT and the Trillion Sensor Universe，the amount of information collected by CMOS image sensors ... [more] |
IST2021-44
pp.35-40 |
| ME |
2021-07-16
13:00 |
Online |
Online |
Dynamic Three-Dimensional Measurement of Abdomen Using Moiré Analysis and Its Use for Detection of Abnormal Respiratory Based on Deep Learning
Yuki Mochizuki, Norio Tagawa (Tokyo Metro. Univ.) |
Currently, paramedics cannot make triage judgments in ambulances during emergency transportation of infants. If this can... [more] |
ME2021-61
pp.1-4 |
| ME |
2021-07-16
13:30 |
Online |
Online |
High-resolution ultrasound imaging with efficient synthesis of transmission angles and frequency subbands based on deep learning
Emi Aiura, Yuta Saito, Norio Tagawa (Tokyo Metro Univ.) |
Ultrasound imaging is widely used in the medical field because it is non-invasive and can be imaged in real time. We hav... [more] |
ME2021-62
pp.5-7 |
| ME |
2021-07-16
14:00 |
Online |
Online |
Image Quality Improvements Using Half Fourier Encoding Method and Non-random Signal Under-sampling in CS-MRI Deep Learning Reconstruction
Yuta Miyamoto, Satoshi Ito (Utsunomiya Univ.) |
Compressed Sensing has the potential to reduce the scan time of MRI, and recently, deep learning has attract at tensions... [more] |
ME2021-63
pp.9-11 |
| 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
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
14:50 |
Online |
Online |
A Note on Estimation of Deteriorated Regions Based on Anomaly Detection from Rubber Material Electron Microscope Images
-- Verification of Feature Representations Extracted from Deep Learning Models --
Masanao Matsumoto, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ) |
This paper presents an anomaly detection method for estimation of deteriorated regions from rubber material electron mic... [more] |
MMS2021-9 ME2021-9 AIT2021-9
pp.43-46 |
| 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
14:50 |
Online |
Online |
Production and Evaluation of Data Set for Semantic Segmentation of 3D CG Image by H.265/HEVC
Norifumi Kawabata (Tokyo Univ. of Science) |
As one of purpose of study on image segmentation, we are able to consider whether between object and background region c... [more] |
|
| ME, SIP |
2020-12-16
14:10 |
Online |
Online |
Infrastructure Required for Improving the Utilization of Human Pose Estimation in Sports Area
Koji Nakagawa, Chikara Miyaji (Teikyo Univ.) |
Human pose estimation systems, which realize marker-less motion capture, started to be utilized in sports area. These sy... [more] |
ME2020-104
pp.9-12 |