| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
10:00 |
Hokkaido |
Hokkaido Univ. |
Momentum-Aware Difficulty Computation for Music Games and Its Application to Stage Data Editing
Ryosuke Nosaka, Yoshinori Dobashi (Hokkaido Univ.) |
In music rhythm games, the chart serves as a stage that provides action instructions to players in sync with the music, ... [more] |
MMS2025-1 ME2025-1 AIT2025-1 SIP2025-1
pp.1-6 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
10:15 |
Hokkaido |
Hokkaido Univ. |
Extraction of Important Scenes by Multimodal LLM Using Video and Speech Transcription Data
-- A Study on the Accurate Understanding of Timestamp Information --
Tomoki Haruyama, Cheng Zhou (NTT DOCOMO) |
In recent years, with the development of network technology and video viewing devices, companies have released a wide va... [more] |
MMS2025-2 ME2025-2 AIT2025-2 SIP2025-2
pp.7-12 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
10:30 |
Hokkaido |
Hokkaido Univ. |
A Note on Performance Improvement of Visual Emotion Classification via Multimodal LLM Introducing Text Prompt Optimization
Ryo Takahashi, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2025-3 ME2025-3 AIT2025-3 SIP2025-3
pp.13-17 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
10:45 |
Hokkaido |
Hokkaido Univ. |
A Note on Image-to-music Generation via Musical Caption Based on In-context Learning
Shilin Liu, Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2025-4 ME2025-4 AIT2025-4 SIP2025-4
pp.18-22 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
11:10 |
Hokkaido |
Hokkaido Univ. |
Automatic Identification Using GAN for Human-Unreadable License Plates
Atsushi Ichiyanagi, Ryuya Uda (TUT) |
[more] |
MMS2025-5 ME2025-5 AIT2025-5 SIP2025-5
pp.23-28 |
| 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 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
12:50 |
Hokkaido |
Hokkaido Univ. |
A Note on Interpretability of Visual Language Model by Few-shot Learning based on the Linear Representation Hypothesis
Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Visual language models (VLMs), pre-trained on vast amounts of web-based images and text, have demonstrated impressive ze... [more] |
MMS2025-7 ME2025-7 AIT2025-7 SIP2025-7
pp.34-39 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
13:05 |
Hokkaido |
Hokkaido Univ. |
Study on matching method between satellite and ground images using CLIP model
Momoko Maezawa, Rei Endo, Naotsuna Fujimori, Takahiro Mochizuki (NHK) |
The location where a query image was taken can be estimated by searching for satellite images that correspond to the que... [more] |
MMS2025-8 ME2025-8 AIT2025-8 SIP2025-8
pp.40-45 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
13:20 |
Hokkaido |
Hokkaido Univ. |
Enhancing Attracting-and-Dispersing Source-Free Domain Adaptation with Vision-and-Language Model
Xinqi Shu (TMU), Shuhei Tarashima (NTT Com), Norio Tagawa (TMU) |
[more] |
MMS2025-9 ME2025-9 AIT2025-9 SIP2025-9
pp.46-51 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
13:35 |
Hokkaido |
Hokkaido Univ. |
Effectiveness Verification of Introducing Model Merging in Federated Learning
-- Investigation from Multi-domain Image Classification Tasks --
Kenta Kubota, Reb Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we evaluate the effectiveness of model merging methods for federated learning, which continuously update ... [more] |
MMS2025-10 ME2025-10 AIT2025-10 SIP2025-10
pp.52-56 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
13:50 |
Hokkaido |
Hokkaido Univ. |
Developing an Intersection Risk Estimation Using Semantic Segmentation
Kazuto Nakagawa, Kazuma Nishimura, Jin Kadotani, Osamu Sugiyama, Masahiro Tada (Kindai Univ.) |
In 2023, 57.3% of traffic accidents in Japan occurred at intersections. Although high-accident-frequency intersections a... [more] |
MMS2025-11 ME2025-11 AIT2025-11 SIP2025-11
pp.57-61 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
14:15 |
Hokkaido |
Hokkaido Univ. |
Analysis of mountain climbing motion using loads on forefoot, midfoot and rearfoot
Satoshi Shimada, Daisuke Kawamura (Nihon Univ.) |
Mountaineering accidents are increasing every year, and accident prevention has become an important social issue. More t... [more] |
MMS2025-12 ME2025-12 AIT2025-12 SIP2025-12
pp.62-65 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
14:30 |
Hokkaido |
Hokkaido Univ. |
バドミントンラケット検出のための特化型データセット構築
Muhammad Abdul Haq (TMU), Tarashima Shuhei (NTT Com), Tagawa Norio (TMU) |
[more] |
MMS2025-13 ME2025-13 AIT2025-13 SIP2025-13
pp.66-70 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
14:45 |
Hokkaido |
Hokkaido Univ. |
Evaluating Existing Dense Pose Estimators on Diverse Body Shape Images
BoTao Zhang (TMU), Shuhei Tarashima (NTT Communications), Norio Tagawa (TMU) |
[more] |
MMS2025-14 ME2025-14 AIT2025-14 SIP2025-14
pp.71-76 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
15:00 |
Hokkaido |
Hokkaido Univ. |
Trial for Investigating Relationship between Older Drivers' Physical Function and Vehicle Control Behavior Using RTK-GNSS
Ayumu Tsujimura (Kindai Univ..), Shohei Kagino (Morinomiya Univ. of Medical Sciences), Shingo Moriizumi (Tezukayama Univ..), Yoshio Fujita (CPUOHS), Kazumi Renge (Tezukayama Univ..), Osamu Sugiyama, Masahiro Tada (Kindai Univ..) |
In Japan, with the rapid advance of super-aging society, investigating countermeasures against traffic accidents caused ... [more] |
MMS2025-15 ME2025-15 AIT2025-15 SIP2025-15
pp.77-80 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
15:25 |
Hokkaido |
Hokkaido Univ. |
Improving Object Detection Performance in Low-Light Scenes using Add-On Far-Infrared System
Hikaru Fukushima, Isamu Takai (TOYOTA CENTRAL R&D LABS., INC.) |
To detect objects under the various lighting conditions encountered on actual roads, we propose an add-on object detecti... [more] |
MMS2025-16 ME2025-16 AIT2025-16 SIP2025-16
pp.81-85 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
15:40 |
Hokkaido |
Hokkaido Univ. |
A Note on Sensitivity Evaluation of Novel View Synthesis Metrics in 3D Scenes with Limited Conditions
Haoyang Wang, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2025-17 ME2025-17 AIT2025-17 SIP2025-17
pp.86-90 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
15:55 |
Hokkaido |
Hokkaido Univ. |
A Note on Personalized Anomaly Detection Based on Vision Language Model Using Image Prompt
Haruka Matsuda, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a personalized anomaly detection method based on the Vision Language Model (VLM) that utilizes image... [more] |
MMS2025-18 ME2025-18 AIT2025-18 SIP2025-18
pp.91-95 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
16:10 |
Hokkaido |
Hokkaido Univ. |
Experimental Discussion on the Attention Mechanism of HEVC and 3D CG Images Using Vision Transformer
Norifumi Kawabata (Computational Imaging Lab) |
It is important to create media content based on a preliminary understanding of what people pay attention to and what th... [more] |
MMS2025-19 ME2025-19 AIT2025-19 SIP2025-19
pp.96-101 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
16:25 |
Hokkaido |
Hokkaido Univ. |
Trial for Recognizing Hazards in Traffic Scene Using a Vision-Language Model
Kazuma Nishimura, Kazuto Nakagawa, Temma Okamoto, Osamu Sugiyama, Masahiro Tada (Kindai Univ.) |
For the societal implementation of autonomous driving systems, it is essential that these systems understand collision r... [more] |
MMS2025-20 ME2025-20 AIT2025-20 SIP2025-20
pp.102-106 |