| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
13:50 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
Developing an Intersection Risk Estimation Using Semantic Segmentation
Kazuto Nakagawa, Kazuma Nishimura, Jin Kadotani, Osamu Sugiyama, Masahiro Tada (Kindai Univ.) |
(To be available after the conference date) [more] |
MMS2025-11 ME2025-11 AIT2025-11 SIP2025-11
pp.57-61 |
| IEICE-ICD, IEICE-SDM, IST [detail] |
2024-08-06
13:45 |
Hokkaido |
(Hokkaido, Online)
(Primary: On-site, Secondary: Online) |
Automatic Circuit Topology Selection for Sub-THz Small-Signal Amplifiers using Machine Learning Models
Tsukasa Hasegawa, Kyoya Takano (Tokyo Univ. of Science) |
The objective of this study is to realize automatic design of RF front-end circuits in the sub-THz band. As an initial s... [more] |
|
| 3DMT |
2024-07-26
13:30 |
Tokyo |
NHK Science & Technology Research Laboratories (Tokyo, Online)
(Primary: On-site, Secondary: Online) |
[Invited Talk]
*
Hiroyuki Shinoda (Univ. of Tokyo) |
In this project, we called VR images that interact with tactile sensations "materialized graphics" and conducted researc... [more] |
3DMT2024-36
pp.22-23 |
| IIEEJ, AIT |
2024-06-05
11:30 |
Tokyo |
Tokyo Information Design Professional University (Tokyo, Online)
(Primary: On-site, Secondary: Online) |
Performance Evaluation of Machine Learning Models using Entropy of Images
Riko Abe, Yuya Dan (Matsuyama Univ.) |
In machine learning with artificial neural networks, there are differences in recognition accuracy in learning models of... [more] |
AIT2024-146
pp.17-20 |
| IIEEJ, AIT |
2024-06-05
14:40 |
Tokyo |
Tokyo Information Design Professional University (Tokyo, Online)
(Primary: On-site, Secondary: Online) |
A Study on Depth Inpainting Method Using Overlaid Depth Images
Ryuta Koide, Yao Bao (Tokyo City Univ.) |
We propose a method to supplement sparse depth images acquired from a depth camera by overlaying temporally sequential i... [more] |
AIT2024-149
pp.29-32 |
| IIEEJ, AIT |
2024-06-05
15:00 |
Tokyo |
Tokyo Information Design Professional University (Tokyo, Online)
(Primary: On-site, Secondary: Online) |
A Study on Posture Identification for Piano Learning Using Machine Learning
Yuki Michisita, Yao Bao (Tokyo City Univ.) |
The piano is a well-known instrument throughout the world, and the posture in which one plays affects one's progress on ... [more] |
AIT2024-150
pp.33-36 |
| IIEEJ, AIT |
2024-06-05
15:20 |
Tokyo |
Tokyo Information Design Professional University (Tokyo, Online)
(Primary: On-site, Secondary: Online) |
A Study on command recognition using mouth shape using machine learning
Ryotaro Tanaka, Yao Bao (Tokyo City Univ.) |
Conventional approaches for device control using lip movements require registering video samples of lip movements, burde... [more] |
AIT2024-151
pp.37-40 |
| IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] |
2024-02-20
14:00 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
A Study of Action Classification Methods from Videos Using Unsupervised Learning
Ayana Rikimaru (NIT(KOSEN), NC) |
The purpose of this study is to develop a system for automatic surveillance, and to examine whether human behavior in vi... [more] |
MMS2024-30 ME2024-46 AIT2024-30
pp.148-151 |
| BCT, IEEE-BT |
2024-02-16
10:30 |
Aichi |
Nagoya International Center (Aichi, Online)
(Primary: On-site, Secondary: Online) |
Anomaly Detection on Radio over Fiber Gap filler using Machine Learning
Koichiro Nakamura, Hiroto Yorioka, Takeshi Higashino, Minoru Okada (NAIST) |
Optical fiber-based gap filler is used to reduce terrestrial broadcasting dead-zone for mitigating the digital divide pr... [more] |
BCT2024-26
pp.21-24 |
| ME |
2024-02-10
09:45 |
Online |
online (Online) |
A Study of Work Time Reduction Methods for Individual Recognition in Zoo
Kanon Shimodaira, Ayana Rikimaru (NIT,NC) |
This study investigated the feasibility of a real-time recognition system with the goal of improving the experience of o... [more] |
ME2024-1
pp.1-3 |
| AIT, IIEEJ, AS, CG-ARTS |
2023-03-06
12:40 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano) (Tokyo, Online)
(Primary: On-site, Secondary: Online) |
Semiautomatic generation of vignette illustrations from video
-- Reflecting viewer preferences --
Mayu Namai, Issei Fujishiro (Keio Univ.) |
A variety of summarization techniques have recently been published to manage the growing volume of media data, but most ... [more] |
AIT2023-120
pp.301-304 |
| BCT, IEEE-BT |
2023-02-16
14:30 |
Osaka |
Osaka Museum of History (Osaka) |
Predicting Temperature Rise Using Machine Learning in Microwave Heating
Tohgo Hosoda, Aditya Rakhmadi, Kazuyuki Saito (Chiba Univ.) |
In recent years, research on machine learning has been active, and use of technology been increasing in various fields w... [more] |
BCT2023-18
pp.1-4 |
| BCT, IEICE-SIS |
2022-10-13
16:00 |
Aomori |
Hachinohe Institute of Technology (Aomori, Misc., Online)
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Quasiconformal Mapping and its Application
-- Numerical Method and Application to Machine Learning --
Hirokazu Shimauchi (Hachinohe Inst. of Tech.) |
Quasiconformal mapping is a natural generalization of conformal mapping and plays an important role in the areas of math... [more] |
|
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-19
14:30 |
Kumamoto |
Kumamoto University (Kumamoto, Online)
(Primary: On-site, Secondary: Online) |
Detection of Mutation of Driver Gene from Thoracic CT Images Based on Machine Learning
Shion Watanabe, Tohru Kamiya (KIT), Takashi Terasawa, Takatoshi Aoki (UOEH) |
(To be available after the conference date) [more] |
|
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-19
15:10 |
Kumamoto |
Kumamoto University (Kumamoto, Online)
(Primary: On-site, Secondary: Online) |
Arrhythmia catheter ablation point prediction from ECG and CT image based on machine learning
Kazuyuki Ohmura (GEHCJ), Kenichiro Yamagata, Kengo Kusano (NCVC), Nozomu Uetake (GEHCJ) |
Catheter ablation is the key therapy in treating arrhythmia. For this treatment planning, 3D electroanatomical map is us... [more] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2022-03-08
13:04 |
Online |
Online (Online) |
Interactive manga colorization system using watershed segmentation
Delong Ouyang (TUS), Ryosuke Furuta (UTokyo), Yugo Shimizu, Yukinobu Taniguchi (TUS), Ryota Hinami, Shonosuke Ishiwatari (Mantra) |
In this paper, we propose an interactive semi-automatic colorization system for manga in order to reduce the time and co... [more] |
AIT2022-66
pp.111-114 |
| AIT, IIEEJ, AS, CG-ARTS |
2022-03-08
13:16 |
Online |
Online (Online) |
Semi-automatic Manga Colorization Using Flat Colored Images
Yugo Shimizu (TUS), Ryosuke Furuta (UTokyo), Delong Ouyang, Yukinobu Taniguchi (TUS), Ryota Hinami, Shonosuke Ishiwatari (Mantra) |
To create color comics, manual colorization process is required, which incurs high labor costs. To solve the problem, we... [more] |
AIT2022-67
pp.115-118 |
| AIT, IIEEJ, AS, CG-ARTS |
2022-03-08
10:30 |
Online |
Online (Online) |
Movie generation based on higher-order features of music
Takamasa Kobori, Yasunari Obuchi (Tokyo Univ. Tech.) |
When posting their music on the Internet, professional musicians create their own videos or order videos, but this is no... [more] |
AIT2022-118
pp.299-300 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22
15:20 |
Online |
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 |
| BCT, IEICE-SIS |
2021-10-08
10:00 |
Online |
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] |
|