Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-20 09:55 |
Hokkaido |
Hokkaido Univ. |
[Special Talk]
Expanding Participation of Graduate Students in Solving Regional Problems by DX Human Resources Consortium to Solve Social Issues Koichiro Ishimori (Hokkaido Univ.) |
[more] |
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ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-20 10:45 |
Hokkaido |
Hokkaido Univ. |
[Special Talk]
Activity Based on Collaboration Agreement with Hokkaido University and Effort Conducted by Hokkaido Regional Development Bureau
-- Inspection of Road Facilities Including Signs and Other Accessories -- Takehiko Suzuki (Hokkaido Regional Development Bureau, MLIT) |
[more] |
|
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-20 11:00 |
Hokkaido |
Hokkaido Univ. |
[Special Talk]
Research for Next-generation Infrastructure Maintenance and Activity of Collaboration Agreement with Hokkaido Regional Development Bureau Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
|
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-20 11:15 |
Hokkaido |
Hokkaido Univ. |
[Special Talk]
Damage Detection Using Drone Videos of Road Attachments Based on Vision Transformer Koshi Watanabe, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
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ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-20 11:25 |
Hokkaido |
Hokkaido Univ. |
[Special Talk]
Technology of Findings Generation Based on Generative AI for Efficient Bridge Inspection Yuto Watanabe, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
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ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-20 11:35 |
Hokkaido |
Hokkaido Univ. |
[Special Talk]
Prediction of Event Locations from Urgent Call Using Speech Recognition and Generative AI Masaki Yoshida, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido University) |
[more] |
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ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-20 13:15 |
Hokkaido |
Hokkaido Univ. |
A Note on Improvement of Multimodal Large Language Model Considering Object Attributes and Relationships Shunya Ohaga, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
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ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-20 13:30 |
Hokkaido |
Hokkaido Univ. |
A Note on Action Estimation with Event Stream Data of Soccer Player Based on Bidirectional Transformer Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
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ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-20 13:45 |
Hokkaido |
Hokkaido Univ. |
Color Vision Estimation for Color Correction Considering Individual Differences Takuma Umibayashi, Hiroki Takahashi (UEC) |
[more] |
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ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-20 14:00 |
Hokkaido |
Hokkaido Univ. |
A Study of Action Classification Methods from Videos Using Unsupervised Learning Ayana Rikimaru (NIT(KOSEN), NC) |
[more] |
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ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-19 10:30 |
Hokkaido |
Hokkaido Univ. |
A Proposal of an Automatic Power Line Removal Method on Images Using Semantic Segmentation and U-Net Trained by the Semantics Touma Saito, Kazunori Uruma (Kogakuin Univ.) ITS2023-46 IE2023-35 |
In recent years, image processing technology and hardware performance have improved, making it possible to easily proces... [more] |
ITS2023-46 IE2023-35 pp.1-6 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-19 10:45 |
Hokkaido |
Hokkaido Univ. |
Brightness Adjustment based Countermeasure against Adversarial Examples Takumi Tojo, Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) ITS2023-47 IE2023-36 |
Recently, image classification using deep learning AI has been used for in-vehicle AI, and its accuracy and response spe... [more] |
ITS2023-47 IE2023-36 pp.7-12 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-19 11:00 |
Hokkaido |
Hokkaido Univ. |
Improving Adversarial Robustness in Continual Learning Koki Mukai, Soichiro Kumano (UTokyo), Nicolas Michel (UGE/CNRS/LIGM), Ling Xiao, Toshihiko Yamasaki (UTokyo) ITS2023-48 IE2023-37 |
The goal of continual learning is to prevent catastrophic forgetting. However, few studies have simultaneously considere... [more] |
ITS2023-48 IE2023-37 pp.13-18 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-19 11:15 |
Hokkaido |
Hokkaido Univ. |
Green Hierarchical Vision Transformer for Masked Image Modeling Lang Huang (Utokyo), Toshihiko Yamasaki (UTokyo) ITS2023-49 IE2023-38 |
[more] |
ITS2023-49 IE2023-38 pp.19-24 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-19 13:00 |
Hokkaido |
Hokkaido Univ. |
Scene Text Recognition Based on Fusion of Vision and Language Models Ryota Onsen, Qiu Chen (Kogakuin Univ) ITS2023-50 IE2023-39 |
[more] |
ITS2023-50 IE2023-39 pp.25-29 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-19 13:15 |
Hokkaido |
Hokkaido Univ. |
Tracking Method for Multiple Persons in Video Using Deep Neural Networks Shoto Morishita, Qiu Chen (Kogakuin Univ.) ITS2023-51 IE2023-40 |
[more] |
ITS2023-51 IE2023-40 pp.30-33 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-19 13:30 |
Hokkaido |
Hokkaido Univ. |
Characteristic analysis to improve the performance of graph-based methods in approximate nearest neighbor search Tomohiro Kanaumi, Yusuke Matsui (Univ. Tokyo) ITS2023-52 IE2023-41 |
Approximate nearest neighbor search (ANNS) is the problem of finding the nearest vector to a given query vector in a dat... [more] |
ITS2023-52 IE2023-41 pp.34-39 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-19 13:45 |
Hokkaido |
Hokkaido Univ. |
CLIP-based Zero-shot In-Distribution Detection Atsuyuki Miyai, Qing Yu (UTokyo), Go Irie (TUS), Kiyoharu Aizawa (UTokyo) ITS2023-53 IE2023-42 |
Extracting in-distribution (ID) images from noisy images scraped from the Internet is an important preprocessing for con... [more] |
ITS2023-53 IE2023-42 pp.40-45 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-19 14:00 |
Hokkaido |
Hokkaido Univ. |
Image Recognition-Based Ingredients Input Support for Food Nutrition Calculation Liangyu Wang, Yoko Yamakata, Kiyoharu Aizawa (UTokyo) ITS2023-54 IE2023-43 |
Contemporary nutrition tracking applications often rely on standard nutrient databases, overlooking the specific ingredi... [more] |
ITS2023-54 IE2023-43 pp.46-49 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-19 14:30 |
Hokkaido |
Hokkaido Univ. |
Intelligent Traffic Signal Control of a Fukui-Ishibashi Traffic Flow Model with Left and Right Turns Tatsuya Kai, Takuya Akiyama (Tokyo Univ. of Science) ITS2023-55 IE2023-44 |
[more] |
ITS2023-55 IE2023-44 pp.50-55 |