Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
BCT, IEEE-BT |
2025-03-07 13:30 |
Okinawa |
(Okinawa, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
How AI Technology Can Empower Broadcast Media Toru Imai (NHK) |
(To be available after the conference date) [more] |
|
HI, VRPSY, JSKE |
2024-11-16 10:00 |
Osaka |
Kindai Univ. (Osaka) |
Deep learning mind-reading model based on gaze information Nayuta Tada, Takeshi Kohama (Kindai Univ.) |
In this study, intending to establish a mind-reading technique based on gaze information, we developed a model that exte... [more] |
HI2024-47 pp.47-50 |
ME, IEICE-EMM, IEICE-IE, IEICE-LOIS, IEE-CMN, IPSJ-AVM [detail] |
2024-09-04 15:30 |
Hiroshima |
Hiroshima Institute of Technology (Hiroshima, Online) (Primary: On-site, Secondary: Online) |
The Research on Dangerous Behavior Recognition and Warning System for Escalators Based on Deep Learning Models YongXuan Zhu, Hiroyuki Nakamura (S.I.T) |
In this study, we developed a system that uses deep learning and image recognition technology to identify potential dang... [more] |
ME2024-80 pp.1-5 |
OSJ-HODIC, AIT, 3DMT, IDY, IEICE-EID, IEE-OQD, SID-JC |
2024-09-02 14:30 |
Tokyo |
Kikai-Shinko-Kaikan Bldg (Tokyo, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Deep Learning in Projection Mapping Daisuke Iwai (UOsaka) |
Projection mapping (PM) allows users to experience virtual and augmented reality without wearing displays by projecting ... [more] |
IDY2024-39 AIT2024-161 3DMT2024-50 pp.36-39 |
IEICE-ICD, IEICE-SDM, IST [detail] |
2024-08-06 13:45 |
Hokkaido |
(Hokkaido, Online) (Primary: On-site, Secondary: Online) |
Automatic Circuit Topology Selection for Sub-THz Small-Signal Amplifiers using Machine Learning Models Tsukasa Hasegawa, Kyoya Takano (Tokyo Univ. of Science) |
The objective of this study is to realize automatic design of RF front-end circuits in the sub-THz band. As an initial s... [more] |
|
3DMT |
2024-07-26 13:30 |
Tokyo |
NHK Science & Technology Research Laboratories (Tokyo, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
* Hiroyuki Shinoda (Univ. of Tokyo) |
In this project, we called VR images that interact with tactile sensations "materialized graphics" and conducted researc... [more] |
3DMT2024-36 pp.22-23 |
ME, IST, IEICE-BioX, IEICE-SIP, IEICE-MI, IEICE-IE [detail] |
2024-06-07 09:30 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") (Niigata) |
A pre-trained representation learning model can be used to decode speech from intracranial recordings Shoya Murakami, Shuji Komeiji, Kai Shigemi (TUAT), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Koichi Shinoda (Tokyo Tech), Toshihisa Tanaka (TUAT) |
Deep learning has been shown to be effective in decoding the content of a speaker's speech from recordings of brain acti... [more] |
|
BCT, IEEE-BT |
2024-02-16 10:30 |
Aichi |
Nagoya International Center (Aichi, Online) (Primary: On-site, Secondary: Online) |
Anomaly Detection on Radio over Fiber Gap filler using Machine Learning Koichiro Nakamura, Hiroto Yorioka, Takeshi Higashino, Minoru Okada (NAIST) |
Optical fiber-based gap filler is used to reduce terrestrial broadcasting dead-zone for mitigating the digital divide pr... [more] |
BCT2024-26 pp.21-24 |
HI |
2023-03-15 14:35 |
Online |
(Online) |
Analysis of learning logs in lectures and self-studies (Second report) Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Kohama (Kindai Univ.) |
This report describes an analysis method for learning logs based on the non-verbal behavior of lecturers and students me... [more] |
HI2023-12 pp.25-28 |
BCT, IEEE-BT |
2023-02-16 14:30 |
Osaka |
Osaka Museum of History (Osaka) |
Predicting Temperature Rise Using Machine Learning in Microwave Heating Tohgo Hosoda, Aditya Rakhmadi, Kazuyuki Saito (Chiba Univ.) |
In recent years, research on machine learning has been active, and use of technology been increasing in various fields w... [more] |
BCT2023-18 pp.1-4 |
IIEEJ, AIT |
2022-10-30 14:50 |
Online |
on line (Online) |
[Invited Talk]
Advances in Image Editing Techniques with Deep Learning Satoshi Iizuka (Univ. of Tsukuba) |
In this presentation, I will introduce how image editing techniques have been developed through deep learning. The metho... [more] |
AIT2022-175 p.13 |
IIEEJ, AIT |
2022-10-30 16:00 |
Online |
on line (Online) |
A Trial of Recognition of Electronic Parts by Deep-Learning for Efficient Recycling Yihong Tang, Tomonori Izumi (Ritsumeikan Univ.) |
In order to improve material-recycling of disposed electronic appliances, we aim to develop a system to analyze and cate... [more] |
AIT2022-177 pp.19-22 |
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-19 15:30 |
Kumamoto |
Kumamoto University (Kumamoto, Online) (Primary: On-site, Secondary: Online) |
Prognosis prediction for colorectal cancer from digitized pathological whole slide image using multiple instance learning Kazuki Omori, Kenichi Morooka (Okayama Univ.), Ryota Nakanishi, Shoko Miyauchi, Eiji Oki, Tomoharu Yoshizumi (Kyushu Univ.) |
(To be available after the conference date) [more] |
|
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22 17:00 |
Online |
online (Online) |
A Note on Distress Detection based on Deep Learning with Hierarchical Multi-Scale Attention Mechanism for Supporting Maintenance of Subway Tunnels Saya Takada, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In maintenance of transportation infrastructures, advanced support technologies that can reduce the burden on engineers ... [more] |
MMS2022-34 ME2022-59 AIT2022-34 pp.377-381 |
BCT, IEICE-SIS |
2021-10-08 10:00 |
Online |
online (Online) |
[Tutorial Lecture]
The Past and The Future of Explainable AI Techniques Yoshitaka Kameya (Meijo Univ.) |
Machine learning models of high predictive performance, such as deep neural networks and ensemble models, now play a cen... [more] |
|
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18 14:50 |
Online |
Online (Online) |
A Note on Estimation of Deteriorated Regions Based on Anomaly Detection from Rubber Material Electron Microscope Images
-- Verification of Feature Representations Extracted from Deep Learning Models -- Masanao Matsumoto, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ) |
This paper presents an anomaly detection method for estimation of deteriorated regions from rubber material electron mic... [more] |
MMS2021-9 ME2021-9 AIT2021-9 pp.43-46 |
3DMT, IEICE-SIS, IPSJ-AVM [detail] |
2020-06-03 15:10 |
Online |
G Square (Hakodate Community Plaza) (Online, Hokkaido) |
3D Animation of a Humanoid Model using EMG Sensors Tsutomu Horikoshi, Yoshie Nogami (SIT) |
In marine sports such as surfing, it is difficult to practice repeatedly under the same conditions. On the other hand, V... [more] |
3DIT2020-11 pp.25-29 |
IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] |
2020-05-28 10:50 |
Online |
Online (Online) |
[Special Talk]
High-dimensional Signal Restoration by Convolutional Networks Driving Fusion Across Multiple Disciplines
-- Sparse Modeling and Convolutional Dictionary Learning -- Shogo Muramatsu (Niigata Univ.) |
This talk outlines a restoration process of high-dimensional signals such as image and volumetric data. With the develop... [more] |
IST2020-30 ME2020-81 p.13 |
IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] |
2020-05-28 15:40 |
Online |
Online (Online) |
People counting device using real-time face detection by AI camera Koki Takebe, Junichi Akita (Kanazawa Univ) |
Recent progress of semiconductor technology has been enabling small and inexpensive devices to execute the neural networ... [more] |
IST2020-31 ME2020-82 pp.37-40 |
AIT, IIEEJ, AS, CG-ARTS |
2020-03-13 11:20 |
Tokyo |
Tokyo University of Technology (Tokyo) (Cancelled) |
Approximation of Log-Aesthetic Curves using ODE-Net Seiya Sakurai, Norimasa Yoshida (Nihon Univ.) |
In conventional deep learning, it is difficult to obtain the desired accuracy unless the time interval is constant. A me... [more] |
AIT2020-89 pp.135-136 |