| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT, SIP [detail] |
2026-02-19
13:15 |
Hokkaido |
|
Improving Visual–Knowledge Integration in MLLMs via Hidden-State Editing Guided by Output Token Probabilities
Masaya Sato, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2026-8 ME2026-8 AIT2026-8 SIP2026-8
pp.29-34 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT, SIP [detail] |
2026-02-19
13:45 |
Hokkaido |
|
A Note on Re-ranking using Edited Image Query for Composed Image Retrieval
Huaying Zhang, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ..) |
Composed image retrieval (CIR) enables users to use both a visual and a textual query to retrieve an image, and thus can... [more] |
MMS2026-10 ME2026-10 AIT2026-10 SIP2026-10
pp.41-46 |
| 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
14:45 |
Hokkaido |
|
A Note on Combining Noisy Label Learning and Active Learning in the Presence of Label Noise
Masaki Kashiwagi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we investigate an integration of noisy label learning and active learning in the presence of label noise.... [more] |
MMS2026-13 ME2026-13 AIT2026-13 SIP2026-13
pp.55-60 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT, SIP [detail] |
2026-02-20
11:00 |
Hokkaido |
|
[Special Talk]
Extending Finding Generation AI Based on In-context Learning for Adaptation to the 2024 Bridge Inspection Guidelines
Masaya Sato, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2026-27 ME2026-27 AIT2026-27 SIP2026-27
pp.115-120 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT, SIP [detail] |
2026-02-20
11:10 |
Hokkaido |
|
[Special Talk]
A Note on Motion Recognition for Tire Inspection Based on Motion Caption Generation for Local Regions in Video
Kyohei Kamikawa, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Tire inspection consists of multiple inspection processes, and accurately performing each process is essential for ensur... [more] |
MMS2026-28 ME2026-28 AIT2026-28 SIP2026-28
pp.121-125 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT, SIP [detail] |
2026-02-20
11:20 |
Hokkaido |
|
[Special Talk]
A Note on Analyzing Relationships among Variables through Causal Discovery in Rubber Material Production Processes
Huaying Zhang, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
High-accuracy estimation of physical properties of rubber materials is a critical issue in the advancement of rubber mat... [more] |
MMS2026-29 ME2026-29 AIT2026-29 SIP2026-29
pp.126-131 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT, SIP [detail] |
2026-02-20
11:30 |
Hokkaido |
|
[Special Talk]
A Note on Interior Style Estimation from Coordination Images Using Latent Representations of Large Multimodal Model
Junya Yamamori (D-RED), Ren Togo (Hokkaido Univ.), Teruhisa Yamashiro (Nitori), Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2026-30 ME2026-30 AIT2026-30 SIP2026-30
pp.132-137 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT, SIP [detail] |
2026-02-20
14:15 |
Hokkaido |
|
A Note on Investigating the Use of Temporal Information for Improving Phase Recognition in Surgical Videos
-- An Analysis of the Impact of Introducing Transformer-Based Temporal Encoders on Recognition Accuracy --
Taiyo Ikeido, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2026-32 ME2026-32 AIT2026-32 SIP2026-32
pp.139-143 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT, SIP [detail] |
2026-02-20
14:45 |
Hokkaido |
|
A Note on an Object-Centric Metric for 3D Scenes Based on Open-Vocabulary Object Detection Models
Yuiko Uchida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
3D reconstruction models synthesize photorealistic 3D scenes from multi-view images and generate novel view images. Conv... [more] |
MMS2026-34 ME2026-34 AIT2026-34 SIP2026-34
pp.146-150 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT, SIP [detail] |
2026-02-20
15:00 |
Hokkaido |
|
A Note on Improving Consistency in Story Visualization Based on Token Modulation in Diffusion Models
Hideo Kodama, Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2026-35 ME2026-35 AIT2026-35 SIP2026-35
pp.151-156 |
| 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
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] |
2025-02-19
09:30 |
Hokkaido |
Hokkaido Univ. |
[Special Talk]
Development and Practice of Problem-Solving Research for Promoting Social Implementation in Collaboration with Nitori Holdings Co., Ltd
Atsuo Maruyama, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2025-23 ME2025-23 AIT2025-23 SIP2025-23
pp.114-116 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-19
11:00 |
Hokkaido |
Hokkaido Univ. |
[Special Talk]
A Note on Customer Interest Estimation Method Based on Multiple Transformer Models Using Real Store Video Data
Teruhisa Yamashiro (NDB), Ren Togo (Hokkaido Univ.), Yuki Honma, Yu Yoshida (NDB), Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose a novel method for customer interest estimation in real stores by leveraging video data and co... [more] |
MMS2025-28 ME2025-28 AIT2025-28 SIP2025-28
pp.133-138 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-19
11:10 |
Hokkaido |
Hokkaido Univ. |
[Special Talk]
A Note on Supporting Interior Coordination Using Image Generation and Complementary Recommendation Techniques
Keigo Sakurai, Hiroki Okamura, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose a method for supporting interior coordination by leveraging image generation and complementary... [more] |
MMS2025-29 ME2025-29 AIT2025-29 SIP2025-29
pp.139-143 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-19
11:30 |
Hokkaido |
Hokkaido Univ. |
[Special Talk]
Advanced Finding Generation AI Based on In-context Learning for Inspection Report Creation
Masaya Sato, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper proposes an automatic findings generation technique based on a Multimodal Large Language Model to enhance the... [more] |
MMS2025-31 ME2025-31 AIT2025-31 SIP2025-31
pp.149-154 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-19
11:40 |
Hokkaido |
Hokkaido Univ. |
[Special Talk]
Event Location Prediction from Urgent Calls based on Fine-tuning of Speech Recognition Models for Geographic Name Recognition
Masaki Yoshida, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2025-32 ME2025-32 AIT2025-32 SIP2025-32
pp.155-160 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-19
14:50 |
Hokkaido |
Hokkaido Univ. |
A Note on the Effectiveness of Brain Activity Information Against Adversarial Attacks
-- Utilization of Image Reconstruction Method from Brain Signals Using Generative Models --
Tasuku Nakajima, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2025-39 ME2025-39 AIT2025-39 SIP2025-39
pp.189-193 |