| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT, SIP [detail] |
2026-02-19
14:30 |
Hokkaido |
|
A Note on Object-Aware Dataset Distillation with Adaptive Patch Selection
Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In recent years, rapid advances in artificial intelligence have led to an increasing demand for large-scale model traini... [more] |
MMS2026-12 ME2026-12 AIT2026-12 SIP2026-12
pp.51-54 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT, SIP [detail] |
2026-02-19
15:15 |
Hokkaido |
|
Experimental Discussion on Semantic Segmentation of 3D CG Images Considering Zero-shot Learning
Norifumi Kawabata (Kanazawa Univ.) |
Much research has been conducted on zero-shot learning, a type of machine learning where AI models are trained to recogn... [more] |
MMS2026-15 ME2026-15 AIT2026-15 SIP2026-15
pp.64-69 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT, SIP [detail] |
2026-02-19
15:45 |
Hokkaido |
|
A Note on Automated Dataset Construction for Composed Video Retrieval in Soccer
-- Improvement of MLLM-based Dataset Evaluation via Prompt Tuning --
Riku Yoshida, Ryota Goka, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we investigate the automatic construction of a dataset for composed video retrieval (CoVR) targeting socc... [more] |
MMS2026-16 ME2026-16 AIT2026-16 SIP2026-16
pp.70-74 |
| IST, ME, IEICE-IE, IEICE-BioX, IEICE-SIP, IEICE-MI [detail] |
2025-06-05
10:00 |
Ishikawa |
|
Data Type Categorization for Cybernetic Avatar Log-Based Authentication Method not Limited to Sepecific Games
Ryosuke Kobayashi, Mhd Irvan, Franziska Zimmer, Maharage Nisansala Sevwandi Perera, Rie Shigetomi Yamaguchi (UTokyo) |
Cooperative impersonation, in which a legitimate user voluntarily shares their authentication credentials with another i... [more] |
|
| IST, ME, IEICE-IE, IEICE-BioX, IEICE-SIP, IEICE-MI [detail] |
2025-06-05
10:50 |
Ishikawa |
|
Investigation of A Personal Authentication Method Using Insole-Type Gait Sensors Based on Deep Learning
Etsushi Kumamoto, Kyosuke Fukamachi, Susumu Sato, Takashi Kawanami (KIT) |
Gait is a subconscious and difficult-to-forge behavior, making it suitable for biometric authentication. However, many e... [more] |
|
| IST, ME, IEICE-IE, IEICE-BioX, IEICE-SIP, IEICE-MI [detail] |
2025-06-05
16:15 |
Ishikawa |
|
Automatic Classification of AI-Generated Images Using Data Hiding
Asahi Watanabe, Mare Hirose, Shoko Imaizumi (Chiba Univ.) |
In this paper, we propose a novel method to automatically identify AI-generated images from plain images by embedding id... [more] |
|
| IST |
2025-03-21
11:05 |
Tokyo |
Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online) |
Lightweight Object Detection Model for a CMOS Image Sensor with Binary Feature Extraction
Keiichiro Kuroda, Yudai Morikaku, Yu Osuka, Ryoya Ieagaki, Kota Yoshida, Shunsuke Okura (Ritumeikan Univ) |
For the coming of IoT age, we have proposed an object detection system using a CMOS image sensor with binary feature ext... [more] |
IST2025-11
pp.7-8 |
| AIT, IIEEJ, AS, CG-ARTS |
2025-03-10
14:25 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano) |
Archiving method for animation intermediate products while production management
Masahiro Fuchiue, Suguru Saito (Science Tokyo) |
In Japanese animation industry, there is a demand for utilization of intermediate products for mentoring new employees a... [more] |
AIT2025-76
pp.136-139 |
| ME |
2025-02-22
15:30 |
Online |
online |
Efficiently building image databases linked with floor maps for indoor place recognition.
Shoma Hirano, Yota Yamamoto, Yukinobu Taniguchi (TUS) |
Visual Place Recognition (VPR) is a technology that estimates a user’s current location based on image retrieval using s... [more] |
ME2025-57
pp.61-64 |
| 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] |
|
| IEICE-SIS, BCT |
2024-10-03
16:40 |
Hokkaido |
Hokusei Gakuen Univ.
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Near-data AI Processors and Hardware-Software Co-optimization
Kota Ando (Hokkaido Univ.) |
Widely spreading AI applications are highly dependent on cloud computing. Specifically, AI applications based on neural ... [more] |
|
| ME, IST, IEICE-BioX, IEICE-SIP, IEICE-MI, IEICE-IE [detail] |
2024-06-06
13:45 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") |
GSP-Traffic Dataset: Graph Signal Processing Dataset Based on Traffic Simulation
Rui Kumagai (Osaka Univ), Hayate Kojima (Tokyo Univ of Agriculture and Technology), Hiroshi Higashi, Yuichi Tanaka (Osaka Univ) |
Data analysis on graphs, including graph signal processing and graph neural networks, is an emerging research field in s... [more] |
|
| ME, IST, IEICE-BioX, IEICE-SIP, IEICE-MI, IEICE-IE [detail] |
2024-06-07
13:15 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") |
Lightweight Object Detection Model for a Binary Feature Extractable CMOS Image Sensor
Keiichiro Kuroda, Yudai Morikaku, Yu Osuka (Ritumeikan Univ), Ryuichi Ujiie, Daisuke Morikawa, Hideki Shima (Nisshinbo Micro Devices), Okura Syunsuke, Kota Yoshida (Ritumeikan Univ) |
For the coming Society 5.0, we propose an object detection system using a CMOS image sensor capable of extracting binary... [more] |
IST2024-27 ME2024-52
pp.23-28 |
| AIT, IIEEJ, AS, CG-ARTS |
2024-03-05
11:48 |
Tokyo |
Tokyo University of Technology |
Efficient multiple source smoke scene representation using cache data
Nobuhiro Takase, Tsukasa Kikuchi (TUT) |
This paper focuses on the representation of smoke, which is computationally expensive, and proposes a method for represe... [more] |
AIT2024-35
pp.15-18 |
| AIT, IIEEJ, AS, CG-ARTS |
2024-03-05
14:06 |
Tokyo |
Tokyo University of Technology |
A Study on Online Data Management and Production Support Using Video Comparison in Japanese Animation Production
Weiyi Xia, Masahiro Fuchiue, Suguru Saito (Tokyo Tech) |
In this paper, we have built a web system that accumulates data during transmission between Japanese animation productio... [more] |
AIT2024-72
pp.143-146 |
| IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] |
2024-02-20
14:30 |
Hokkaido |
Hokkaido Univ. |
Optimizing Division Schemes with Mixture of Experts for Medical Data Compression
Jiancheng Zhao, Takefumi Ogawa (Utokyo) |
Emerging Implicit Neural Representation (INR) is a promising data compression technique, which represents the data using... [more] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2023-03-06
12:40 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano)
(Primary: On-site, Secondary: Online) |
Research on Online Data Management in Japanese Animation Production
Weiyi Xia (TIT) |
Currently, in animation production, while full digital production on the computer using 3DCG is the mainstream overseas,... [more] |
AIT2023-103
pp.243-244 |
| MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-21
10:30 |
Hokkaido |
Hokkaido Univ. |
A Note on Traffic Sign Recognition Based on Vision Transformer Adapter Using Visual Feature Matching
Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Traffic sign recognition is a real-world task that involves many constraints and complications. Traffic sign recognition... [more] |
MMS2023-1 ME2023-21 AIT2023-1
pp.1-4 |
| MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-21
13:00 |
Hokkaido |
Hokkaido Univ. |
Fast designing method of additional patterns in self-referential holographic data storage
-- Approach using deep neural network --
Kazuki Chijiwa, Masanori Takabayashi (Kyushu Inst. of Tech.) |
In self-referential holographic data storage (SR-HDS) known as a purely one-beam holographic recording method, it has be... [more] |
MMS2023-7 ME2023-27 AIT2023-7
pp.35-40 |
| ME |
2022-07-22
13:30 |
Online |
Online |
A Twice-Embedding Reversible Data Hiding Method for the Grayscale-Based EtC System
Ruifeng Li, Masaaki Fujiyoshi (Tokyo Metro. Univ.) |
This paper proposes a twice-embedding method for data hiding in images that can be used with the encryption-then-compres... [more] |
ME2022-66
pp.5-8 |