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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 25  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
AIT, IIEEJ, AS, CG-ARTS 2026-03-02
14:30
Tokyo Tokyo Polytechnic Univ. (Nakano) A video summarization method utilizing the multimodal features of live streaming videos
Rion Kadowaki, Michio Shiraishi (Toho University)
This research proposes a video summarization method for live streaming, primarily talk-based streaming, which
has seen... [more]
AIT2026-169
pp.444-446
IEICE-IE, IEICE-ITS, MMS, ME, AIT, SIP [detail] 2026-02-19
16:15
Hokkaido   MLLM-based Video Temporal Grounding in Procedural Videos via Rewriting Hierarchical Standard Operating Procedures
Kosuke Koide, Yota Yamamoto (TUS), Ryosuke Furuta (UTokyo), Yukinobu Taniguchi (TUS)
Verification of compliance with standard operating procedures (SOPs) that support manufacturing quality still relies hea... [more] MMS2026-18 ME2026-18 AIT2026-18 SIP2026-18
pp.79-82
IEICE-HIP, HI, VRPSY, ASJ-H [detail] 2026-02-18
11:50
Okinawa   Design and implementation of a VR mirror therapy system for hemiplegia rehabilitation
Tsubasa Okamura, Hisashi Yoshida, Takeshi Kohama (Kindai Univ.)
This study proposes a novel approach to enhance therapeutic effects by replicating mirror therapy for hemiplegia rehabil... [more] HI2026-21
pp.106-109
HI, IEICE-MVE, HI-SIG-DeMO, IPSJ-HCI, IPSJ-EC [detail] 2025-06-18
16:40
Tokyo   Development of a Nutrition Estimation Model via Ingredient Estimation from Meal Images for Dietary Counseling by Dietitians
Ryoma Maeda, Kiyoharu Aizawa (UTokyo), Keisuke Shirai, Hirotaka Kameko, Shinsuke Mori (Kyoto Univ.), Akiho Shinagawa (UT IHSS ARIHHP), Keiko Namma-Motonaga, Akiko Kamei (JISS), Yoko Yamakata (UTokyo)
Nutritional support for athletes requires precise estimation of not only major nutrients but also micronutrients. In thi... [more] HI2025-19
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
09:30
Hokkaido Hokkaido Univ. Llava-Planner: Enhancing Spatial Awareness of LLaVA for Cost-Effective Path Planning
Ling Xiao, Hiromasa Yamanishi, Toshihiko Yamasaki (UTokyo)
Cost-effective path planning is essential for unmanned systems, particularly considering the challenges of recharging du... [more]
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, IST, IEICE-BioX, IEICE-SIP, IEICE-MI, IEICE-IE [detail] 2024-06-07
10:55
Niigata Nigata University (Ekinan-Campus "TOKIMATE") Price Prediction of Handmade Items using Multimodal Data
Tomoya Sugihara (UTokyo), Shuntaro Masuda (UTokyo.), Shengzhou Yi, Toshihiko Yamasaki (UTokyo)
Handmade products differ from mass-produced items as each item is uniquely crafted by hand. Therefore, setting initial p... [more]
IEICE-ITS, IEICE-IE, ME, AIT, MMS [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.)
In this paper, we propose an enhanced Multimodal Large Language Model (MLLM) specifically designed to mitigate hallucina... [more] MMS2024-27 ME2024-43 AIT2024-27
pp.132-136
IEICE-ICD, IEICE-SDM, IST [detail] 2023-08-02
11:30
Hokkaido
(Primary: On-site, Secondary: Online)
[Invited Talk] Multimodal flexible sensor system
Kuniharu Takei (Hokkaido Univ.)
Due to drastic progress on Internet of Things (IoT) with machine learning and/or artificial intelligence, data collectio... [more] IST2023-32
pp.14-16
ME 2022-07-22
16:20
Online Online Image Classification of Cancer Cells Treated with IRDAptermer
Rahman Rawnak Mim, Yuuka Yamagata, Yoshiro Chuman, Shogo Muramatsu (Niigata Univ.)
This work evaluates convolutional neural network (CNN)-based image classifiers for determining the effect of a cell memb... [more] ME2022-70
pp.23-26
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-22
15:20
Online online A Note on Perceived Visual Content Estimation Based on Compressed Reconstruction Network Using Brain Signals While Gazing on Images
Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido University)
In this paper, we propose a method to reconstruct a perceived image using brain signals obtained during gazing images. S... [more] MMS2022-28 ME2022-53 AIT2022-28
pp.349-353
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
17:05
Online Online A Note on Prediction of Important Scenes in Baseball Videos via Multimodal Variational Autoencoder Using Tweets and Videos
Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a prediction method of important scenes in baseball videos based on multimodal variational autoencod... [more] MMS2021-14 ME2021-14 AIT2021-14
pp.71-75
IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] 2020-05-29
11:20
Online Online Multimodal personal ear authentication using multiple sensor information
Shunji Itani (Kansai Univ.), Shunsuke KIta (ORIST), Yoshinobu Kajikawa (Kansai Univ.)
In this paper, we consider personal authentication technology using individual differences of acoustic transfer function... [more]
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-28
15:25
Hokkaido Hokkaido Univ.
(Cancelled)
Make Your Presentation Better: Oral Presentation Support System using Linguistic and Acoustic Features
Shengzhou Yi (UTokyo), Takuya Yamamoto, Osamu Yamamoto, Yukiyoshi Katsumizu, Hiroshi Yumoto (P&I), Xueting Wang, Toshihiko Yamasaki (UTokyo)
In order to help presenters to improve their oral presentation skills, we propose a support system to provide impression... [more]
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-28
16:35
Hokkaido Hokkaido Univ.
(Cancelled)
A Note on Event Classification in Soccer Videos Using Bidirectional LSTM
Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method for event classification using Bidirectional LSTM (Bi-LSTM) in soccer videos. In soccer com... [more] MMS2020-48 HI2020-48 ME2020-76 AIT2020-48
pp.371-375
HI, VRPSY 2018-12-14
13:45
Fukuoka Kokura Campus, Univ. Kitakyushu Vibration enhances vection -- Effects of vibration phase and stimulating point --
Yasuaki Tamada, Yuuki Tanaka, Naoki Uchiyama, Masayuki Sato (The Univ. of Kitakyushu)
(To be available after the conference date) [more] HI2018-61
pp.7-10
HI, VRPSY 2017-11-25
11:25
Ishikawa Kanazawa Institute of Technology Analysis of Harmonious-Characteristics of animation and sound features for human emotion in AMV
Mori Kento, Kotani Kazunori (JIST)
AMV(Anime Music Video ) was created by Amateur editors from 1980s.The videos are often based on existing anime footage a... [more] HI2017-79
pp.47-50
IEICE-HIP, HI [detail] 2016-12-20
16:30
Miyagi Reserach Institute of Electrical Communication, Tohoku University Evaluation of perceived reality by multimodal contents with generated vibration information
Hiroyuki Yagyu, Zhenglie Cui, Shuichi Sakamoto, Yoiti Suzuki, Jiro Gyoba (Tohoku Univ.)
The previous study reported that perceived sense of reality from multimodal contents can be enhanced by adding full-body... [more]
HI, IEICE-IE, AIT, IEICE-ITS, ME, MMS [detail] 2015-02-23
14:30
Hokkaido Hokudai A Note on Accurate Image Classification Method of Image Sharing Sites
Naoki Saito, Takahiro Ogawa (Hokkaido Univ.), Satoshi Asamizu (Kushiro-N.C.T), Miki Haseyama (Hokkaido Univ.)
In this paper, we propose an accurate image classification method that integrates multiple classification results. In th... [more] MMS2015-11 CE2015-11 HI2015-9 ME2015-9 AIT2015-9
pp.71-75
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