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All Technical Committee Conferences (Searched in: Recent 10 Years)
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| Search Results: Conference Papers |
| Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT, SIP [detail] |
2026-02-19
13:15 |
Hokkaido |
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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
13:30 |
Hokkaido |
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A Note on Improving Training of a Bridge-Inspection-Specific MLLM
-- Accuracy Gains via Data Augmentation and Loss Redesign --
Masaya Sato, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2026-9 ME2026-9 AIT2026-9 SIP2026-9
pp.35-40 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT, SIP [detail] |
2026-02-20
11:00 |
Hokkaido |
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[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 |
| 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 |
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