| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT, SIP [detail] |
2026-02-19
10:00 |
Hokkaido |
|
Area Light Source Parameter Estimation for Penumbra Representation in AR
Takuto Yoshida, Hiroki Takahashi (UEC) |
(To be available after the conference date) [more] |
|
| IEICE-HIP, HI, VRPSY, ASJ-H [detail] |
2026-02-17
10:20 |
Okinawa |
|
A driver's gaze prediction model employing deep learning mechanisms
Risa Yoshie, Yuhei Ohsawa (Kindai Univ.), Fumika Nakanishi, Minori Yamataka (ARIC, DENSO CORP.), Takeshi Kohama (Kindai Univ.) |
(To be available after the conference date) [more] |
|
| KANSAI |
2025-11-30
09:45 |
Osaka |
OMU I-site Namba |
A Study on Image-Based Visual Inspection of Senbei (Japanese Rice Crackers)
Shu Goto, Masakazu Morimoto (University of Hyogo) |
This study aims to automate quality control (QC) in senbei manufacturing, proposing a system to inspect “baking color”, ... [more] |
|
| KANSAI |
2025-11-30
10:30 |
Osaka |
OMU I-site Namba |
Extraction of Plasterer's Tacit Knowledge and Automatic Generation of Robotic Arm Motions through Deep Predictive Learning
Keisuke Ota, Ikumi Noborio, Makoto Muramoto, Weiwei Du (KIT) |
In plastering work performed by skilled craftsmen, it is possible to respond flexibly to environmental changes through t... [more] |
|
| KANSAI |
2025-11-30
14:15 |
Osaka |
OMU I-site Namba |
Robust Skeleton-Based Action Recognition through Contrastive Language-Skeleton Feature Alignment
Motohiro Isaka, Yen Wei Chen, Jiaqing Liu (Ritsumeikan Univ) |
Recent years, skeleton-based action recognition has seen increasing application in diverse fields such as surveillance, ... [more] |
|
| IST |
2025-11-21
14:00 |
Tokyo |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Combining Coded-Aperture, Event Camera, and Deep Learning for Light Field Imaging
Keita Takahashi (Nagoya Univ.) |
The concept of light field is used to describe a field of light-rays created by target objects, and it is typically repr... [more] |
IST2025-47
pp.5-9 |
IEICE-CQ, IEE-CMN, BCT
(Joint) [detail] |
2025-11-06
14:55 |
Niigata |
Tokimate |
Intelligent Training Control for Hierarchical Federated Learning in Dynamic Vehicular Environments
Zhaoyang Du, Celimuge Wu, Yangfei Lin, Jiale Wu (UEC) |
Federated Learning (FL) has emerged as a promising solution for enabling privacy-preserving distributed model training i... [more] |
|
| ME |
2025-10-28
15:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
A Study of Scene Graph Generation Based on Image Captioning
Masaya Ikeda, Koichi Ito, Takafumi Aoki (Tohoku Univ.) |
Image captions can be accurately generated by using scene graph representation of images. In contrast, the training data... [more] |
ME2025-92
pp.9-12 |
| SMC |
2025-07-24
16:20 |
Tokyo |
Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online) |
Full-Parallax High-Definition CGH Created Using Ray-Sampling Plane and Free-Viewpoint Images with NeRF
Tada Kengo, Nishi Hirohito, Matsushima Kyoji (Kansai Univ.) |
The method using the ray-sampling plane (RSP) is one of powerful techniques to create full-parallax high-definition comp... [more] |
|
| SMC |
2025-07-25
10:25 |
Tokyo |
Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online) |
Deep Learning Models for 3D Interfaces with a Ring-Mounted Camera
Matthew Ichikawa, Saori Takeyama, Masahiro Yamaguchi (Institute of Science Tokyo) |
In this study, we introduce a novel hand‐shape and motion estimation method for 3D interfaces that employs a ring‐shaped... [more] |
|
| IIEEJ, AIT |
2025-06-30
15:50 |
Nagano |
(Primary: On-site, Secondary: Online) |
Slope Change Detection using Multiple Instance Learning and Memory Banks from Remote Surveillance Cameras
Kohei Takashima, Yota Yamamoto, Yukinobu Taniguchi (Tokyo Univ of Science) |
Landslides are serious natural disasters that cause extensive damage to human lives and social infrastructure. Preventin... [more] |
AIT2025-170
pp.11-14 |
| IST, ME, IEICE-IE, IEICE-BioX, IEICE-SIP, IEICE-MI [detail] |
2025-06-05
13:00 |
Ishikawa |
|
A Point Cloud Downsampling Method based on SHAP for 3D Object Classification
Ryota Sugimoto, Kenji Kanai, Jiro Katto (Waseda Univ.) |
In recent years, the increasing density of point cloud data has raised concerns regarding the processing burdens in thre... [more] |
|
| IST, ME, IEICE-IE, IEICE-BioX, IEICE-SIP, IEICE-MI [detail] |
2025-06-05
15:25 |
Ishikawa |
|
Application of the Membership Inference Attacks Using Poisoning to Federated Learning
Tomoya Tsukada, Masahiro Mambo (Kanazawa Univ.) |
Even though it is known that membership inference attack becomes more effective against deep learning by using data pois... [more] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2025-03-10
13:37 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano) |
An Experimental Study on 3D Hair Modeling from Sketches Using Diffusion Curves
Ritsuki Ishiwata (Hosei Univ), Syuhei Sato (Hosei Univ/PCGR) |
In this study, we propose a method for generating 3D hair models from sketches. One approach to 3D modeling from a singl... [more] |
AIT2025-67
pp.102-105 |
| AIT, IIEEJ, AS, CG-ARTS |
2025-03-10
14:25 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano) |
SVBRDF Prediction based on Two-Level Basis from Multiple Input Images
Tomoya Kozuki, Kei Iwasaki (Saitama Univ.) |
This paper proposes a model that predicts Spatially Varying Bidirectional Reflectance Distribution Function (SVBRDF) usi... [more] |
AIT2025-70
pp.114-117 |
| BCT, IEEE-BT |
2025-03-07
13:30 |
Okinawa |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
How AI Technology Can Empower Broadcast Media
Toru Imai (NHK) |
Since the term ‘Artificial Intelligence’ was coined 70 years ago, AI technology has developed remarkably. In recent year... [more] |
BCT2025-47
pp.18-21 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
11:25 |
Hokkaido |
Hokkaido Univ. |
Efficient Physics Informed Dynamic Neural Fluid Fields Reconstruction From Sparse Video
Yangcheng Xiang, Yoshinori Dobashi (Hokudai) |
Efficiently inferring the latent physical properties of fluids from sparse 2D videos has long been a challenging problem... [more] |
MMS2025-6 ME2025-6 AIT2025-6 SIP2025-6
pp.29-33 |
| KANSAI |
2024-12-22
09:30 |
Osaka |
Osaka Metropolitan University, I-site Namba |
**
Youhei Ueno, Masataka Seo (Osaka Institute of Technology) |
There are two problems with video generation using deep generative models. The first problem is that objects moving betw... [more] |
|
| HI, VRPSY, JSKE |
2024-11-16
10:00 |
Osaka |
Kindai Univ. |
Deep learning mind-reading model based on gaze information
Nayuta Tada, Takeshi Kohama (Kindai Univ.) |
In this study, intending to establish a mind-reading technique based on gaze information, we developed a model that exte... [more] |
HI2024-47
pp.47-50 |
| IEICE-SIS, BCT |
2024-10-03
14:50 |
Hokkaido |
Hokusei Gakuen Univ.
(Primary: On-site, Secondary: Online) |
Accuracy Improvement of Real Image Classification Using Synthetic Images for Training by Bilateral Filtering
Masakazu Ohkoba, Takeru Inoue, Miho Adachi, Junya Morioka (Meiji Univ.), Kouji Gakuta, Etsuji Yamada, Aoi Kariya (DPS), Masakazu Kinosada, Yujiro Kitaide (Shinsei Printing Co., Ltd.), Ryusuke Miyamoto (Meiji Univ.) |
In the development of machine-learning-based component classification applications, creating a suitable training dataset... [more] |
|