| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| SIP |
2024-03-21
15:00 |
Ibaraki |
Center for Computational Sciences, University of Tsukuba |
Walking training support method for mountain climbing using foot pressure distribution
Satoshi Shimada, Noji Raito, Meguro DAaiki (Nihon Univ.) |
In recent years, many mountaineers are unassociated, and this is a major factor in the increase of accidents. 35 percent... [more] |
SIP2024-5
pp.12-15 |
| HI |
2024-03-19
13:10 |
Online |
|
A Study on Image Selection for Graduation Albums Based on a Large-scale Pre-trained Model and Face Detection
Hiraku Matsuda, Yuta Muraki (OIT), Kazuyuki Fukuda, Kentaro Wada (DAICOLO CO.,LTD.), Mutsuo Sano (OIT) |
When creating a graduation album, there is the task of selecting images to be placed in the layout from among many image... [more] |
HI2024-21
pp.35-38 |
| AIT, IIEEJ, AS, CG-ARTS |
2024-03-05
13:42 |
Tokyo |
Tokyo University of Technology |
Development of a Diagnostic Support System for Intranasal Disease
Kaho Ukai, Youngha Chang, Nobuhiko Mukai (TCU), Kojiro Hirano, Kouzou Murakami (SUSM/SUH) |
In this research, a support system has been developed to diagnose whether an endoscopic image shows "severely abnormal n... [more] |
AIT2024-70
pp.135-138 |
| AIT, IIEEJ, AS, CG-ARTS |
2024-03-05
15:04 |
Tokyo |
Tokyo University of Technology |
Brittle Fracture Shape Generation of Plane Objects by Conditional GAN
Yuma Aoki, Kohei Tokoi (Wakayama Univ.) |
Physics-based fracture simulation can generate realistic debris shapes, but it is difficult to use in applications that ... [more] |
AIT2024-114
pp.284-287 |
| AIT, IIEEJ, AS, CG-ARTS |
2024-03-05
14:30 |
Tokyo |
Tokyo University of Technology |
Card game AI applying reinforcement learning with Unity ML-Agents
Tatsuya Watanabe, Junichi Yamamoto (THCU) |
In recent years, there has been active research in game AI, with AI agents reaching the level of professional players in... [more] |
AIT2024-138
pp.375-376 |
| IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] |
2024-02-20
14:00 |
Hokkaido |
Hokkaido Univ. |
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
(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 |
| BCT, IEEE-BT |
2024-02-16
10:50 |
Aichi |
Nagoya International Center
(Primary: On-site, Secondary: Online) |
Adapter-Based Fine-Tuning for Multi-Task Learning Based CSI Feedback in FDD Massive MIMO Systems
Mayuko Inoue, Tomoaki Ohtsuki (Keio Univ) |
A multi-task learning-based Channel State Information (CSI) feedback has been proposed to obtain the CSI of the downlink... [more] |
BCT2024-27
pp.25-28 |
| ME |
2024-02-10
09:45 |
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 |
| ME |
2024-02-10
14:45 |
Online |
online |
A method of detecting pose images to support imitation learning for climbing
Yinghao Jiang, Satoshi Shimada (Nihon Univ.) |
Learning using videos is effective in improving skills in sports. Since sports enthusiasts have few opportunities to rec... [more] |
ME2024-15
pp.51-54 |
| ME |
2023-12-15
10:00 |
Niigata |
Niigata Univ.
(Primary: On-site, Secondary: Online) |
Learning English using activity video materials
-- the implementation of CLIL through playing football --
Machiko Kobori (Hosei University), Yoshika Matsubara (University of Tsukuba), Yuji Tokiwa (Fun@Learn) |
This study explores young learners' reflections on using soccer activity video materials in CLIL English learning. The l... [more] |
ME2023-102
pp.33-36 |
| 3DMT |
2023-10-02
13:05 |
Aichi |
(Primary: On-site, Secondary: Online) |
[Tutorial Invited Lecture]
From Mathematical Modeling to Data-Driven Optimization
-- Compressive Light Field Acquisition Undergoes Paradigm Shift --
Keita Takahashi (Nagoya Univ.) |
The light field is a basic representation for 3-D visual information, and it is usually treated as a set of images taken... [more] |
3DMT2023-35
p.1 |
| IST |
2023-09-15
11:45 |
Tokyo |
Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online) |
Pseudo-dToF using deep learning with time-compressive computational CMOS image sensor
Michitaka Yoshida (JSPS), Pham Ngoc Anh, Lioe De Xing, Keita Yasutomi, Shoji Kawahito, Keiichiro Kagawa (Shizuoka Univ.), Hajime Nagahara (Osaka Univ.) |
Depth imaging by the indirect ToF method has a problem in whitch measurement errors occur due to multiple reflections fr... [more] |
IST2023-37
pp.9-12 |
| AIT, 3DMT, OSJ-HODIC |
2023-09-08
17:15 |
Tokyo |
Nihon Univ. College of Science and Technology (Surugadai Campus) |
|
Phase unwrapping is a technique used to recover the original phase from the wrapped phase in the range (−π, π]. Conventi... [more] |
AIT2023-147 3DMT2023-34
pp.33-36 |
| ME |
2023-07-21
15:45 |
Online |
Online |
Preliminary study on recognition of upward stairs by use of CNN and multi channelization for visually impaired people
Yuto Narumi, Hotaka Takizawa, Akihisa Ohya (Univ. of Tsukuba), Makoto Kobayashi (Tsukuba Univ. of Technology), Mayumi Aoyagi (Aichi Univ. of Education) |
Smartphones are used by many visually impaired people, and the users will increase in the future. In this research, we p... [more] |
ME2023-66
pp.17-18 |
| IST |
2023-06-21
14:10 |
Tokyo |
Tokyo University of Science Morito Memorial Hall |
[Poster Presentation]
Verification of the effectiveness of multitask learning for demosaicking and white-balancing
Yuki Nakagomi, Ryoya Takeuchi, Taishi Iriyama, Takashi Komuro (Saitama Univ) |
In this study, we conducted an investigation on the learning effectiveness of jointly training demosaicking and white ba... [more] |
IST2023-25
pp.19-22 |
| IIEEJ, AIT |
2023-06-04
10:20 |
Tokyo |
TOKYO CITY UNIVERSITY
(Primary: On-site, Secondary: Online) |
A Study on Pattern Recognition of Upper Body Clothes Using MediaPipePose
Kouki Maeda, Youngha Chang, Nobuhiko Mukai (TCU) |
In recent years, there are many studies that focuses on human region extraction and attribute recognition in images and ... [more] |
AIT2023-136
pp.47-50 |
| HI |
2023-03-15
14:35 |
Online |
|
Analysis of learning logs in lectures and self-studies (Second report)
Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Kohama (Kindai Univ.) |
This report describes an analysis method for learning logs based on the non-verbal behavior of lecturers and students me... [more] |
HI2023-12
pp.25-28 |
| AIT, IIEEJ, AS, CG-ARTS |
2023-03-06
10:25 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano)
(Primary: On-site, Secondary: Online) |
Using Deep Learning to Generate Wall Textures
ekitou chin, Masaki Abe, Taichi Watanabe (TUT) |
In recent years, the area of image processing and image generation using deep learning has been further developed and ap... [more] |
AIT2023-83
pp.175-176 |
| AIT, IIEEJ, AS, CG-ARTS |
2023-03-06
12:40 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano)
(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 |