| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
11:25 |
Hokkaido |
Hokkaido Univ. |
Efficient Physics Informed Dynamic Neural Fluid Fields Reconstruction From Sparse Video
Yangcheng Xiang, Yoshinori Dobashi (Hokudai) |
Efficiently inferring the latent physical properties of fluids from sparse 2D videos has long been a challenging problem... [more] |
MMS2025-6 ME2025-6 AIT2025-6 SIP2025-6
pp.29-33 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
14:15 |
Hokkaido |
Hokkaido Univ. |
Analysis of mountain climbing motion using loads on forefoot, midfoot and rearfoot
Satoshi Shimada, Daisuke Kawamura (Nihon Univ.) |
Mountaineering accidents are increasing every year, and accident prevention has become an important social issue. More t... [more] |
MMS2025-12 ME2025-12 AIT2025-12 SIP2025-12
pp.62-65 |
| IEICE-SIS, BCT |
2024-10-03
14:50 |
Hokkaido |
Hokusei Gakuen Univ.
(Primary: On-site, Secondary: Online) |
Accuracy Improvement of Real Image Classification Using Synthetic Images for Training by Bilateral Filtering
Masakazu Ohkoba, Takeru Inoue, Miho Adachi, Junya Morioka (Meiji Univ.), Kouji Gakuta, Etsuji Yamada, Aoi Kariya (DPS), Masakazu Kinosada, Yujiro Kitaide (Shinsei Printing Co., Ltd.), Ryusuke Miyamoto (Meiji Univ.) |
In the development of machine-learning-based component classification applications, creating a suitable training dataset... [more] |
|
| IEICE-SIS, BCT |
2024-10-03
15:10 |
Hokkaido |
Hokusei Gakuen Univ.
(Primary: On-site, Secondary: Online) |
A New Calcification Region Detector for Dental Panoramic Radiographs
Sota Nakano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Nanae Dewake, Nobuo Yoshinari (Matsumoto Dental Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital) |
Calcification regions are sometimes observed in carotid arteries on dental panoramic radiographs and are expected to be ... [more] |
|
| BCT, IEEE-BT, HOKKAIDO |
2024-07-26
12:05 |
Hokkaido |
Muroran Institute of Technology
(Primary: On-site, Secondary: Online) |
Performance Evaluation of Reservoir Computing Based MIMO-OFDM Detection with Precoders
Yuanyou Chen, Hiroshi Tsutsui, Takeo Ohgane (Hokkaido Univ.) |
In this paper, we investigate a MIMO-OFDM symbol detection based on reservoir computing (RC), which is a special type of... [more] |
BCT2024-54
pp.12-15 |
| ME, IST, IEICE-BioX, IEICE-SIP, IEICE-MI, IEICE-IE [detail] |
2024-06-07
09:30 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") |
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] |
|
| ME, IST, IEICE-BioX, IEICE-SIP, IEICE-MI, IEICE-IE [detail] |
2024-06-07
13:15 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") |
Color information restoration from printed and scanned grayscale images with deep learning
Takehiro Muroya, Hiroshi Higashi, Yuichi Tanaka (OU) |
In this report, we propose a colorization method for gray-scale images embedded color information with the wavelet trans... [more] |
|
| IIEEJ, AIT |
2024-06-05
11:30 |
Tokyo |
Tokyo Information Design Professional University
(Primary: On-site, Secondary: Online) |
Performance Evaluation of Machine Learning Models using Entropy of Images
Riko Abe, Yuya Dan (Matsuyama Univ.) |
In machine learning with artificial neural networks, there are differences in recognition accuracy in learning models of... [more] |
AIT2024-146
pp.17-20 |
| SIP |
2024-03-21
14:25 |
Ibaraki |
Center for Computational Sciences, University of Tsukuba |
Bunch of Tricks for Improving Shuttlecock Detection from Badminton Videos
Muhammad Abdul Haq (TMU), Shuhei Tarashima (NTT Com), Norio Tagawa (TMU) |
Accurate identification of the shuttlecock is necessary for video analysis in badminton matches, but, it remains difficu... [more] |
SIP2024-4
pp.8-11 |
| SIP |
2024-03-21
15:00 |
Ibaraki |
Center for Computational Sciences, University of Tsukuba |
Walking training support method for mountain climbing using foot pressure distribution
Satoshi Shimada, Noji Raito, Meguro DAaiki (Nihon Univ.) |
In recent years, many mountaineers are unassociated, and this is a major factor in the increase of accidents. 35 percent... [more] |
SIP2024-5
pp.12-15 |
| AIT, IIEEJ, AS, CG-ARTS |
2024-03-05
13:42 |
Tokyo |
Tokyo University of Technology |
Development of a Diagnostic Support System for Intranasal Disease
Kaho Ukai, Youngha Chang, Nobuhiko Mukai (TCU), Kojiro Hirano, Kouzou Murakami (SUSM/SUH) |
In this research, a support system has been developed to diagnose whether an endoscopic image shows "severely abnormal n... [more] |
AIT2024-70
pp.135-138 |
| AIT, IIEEJ, AS, CG-ARTS |
2024-03-05
14:30 |
Tokyo |
Tokyo University of Technology |
Study on the Impact of Biological Functions and Personality Traits on Shooting Operations in FPS Games
Ryotaro Arai, Tomokazu Ishikawa (Toyo Univ.) |
This paper analyzes the effects of players' biological functions and personality traits on shooting maneuvers in order t... [more] |
AIT2024-119
pp.301-302 |
| IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] |
2024-02-19
13:45 |
Hokkaido |
Hokkaido Univ. |
Efficient Human Pose and Shape Estimation using Decomposed Manhattan Self-Attention
Yushan Wang, Botao Zhang (TMU), Shuhei Tarashima (NTT Com), Norio Tagawa (TMU) |
HMR2.0, a high performance human pose and shape estimation algorithm, leverages ViT as its backbone and uses pretrained ... [more] |
MMS2024-9 ME2024-25 AIT2024-9
pp.44-48 |
| BCT, IEEE-BT |
2024-02-16
10:50 |
Aichi |
Nagoya International Center
(Primary: On-site, Secondary: Online) |
Adapter-Based Fine-Tuning for Multi-Task Learning Based CSI Feedback in FDD Massive MIMO Systems
Mayuko Inoue, Tomoaki Ohtsuki (Keio Univ) |
A multi-task learning-based Channel State Information (CSI) feedback has been proposed to obtain the CSI of the downlink... [more] |
BCT2024-27
pp.25-28 |
| IST |
2023-06-21
14:10 |
Tokyo |
Tokyo University of Science Morito Memorial Hall |
[Poster Presentation]
Verification of the effectiveness of multitask learning for demosaicking and white-balancing
Yuki Nakagomi, Ryoya Takeuchi, Taishi Iriyama, Takashi Komuro (Saitama Univ) |
In this study, we conducted an investigation on the learning effectiveness of jointly training demosaicking and white ba... [more] |
IST2023-25
pp.19-22 |
| IEICE-HIP, HI, VRPSY [detail] |
2023-02-22
14:45 |
Toyama |
(Primary: On-site, Secondary: Online) |
Change of color categories induced by color discrimination learning
Takehiro Nagai, Suzuha Horiuchi (Tokyo Tech) |
We examined the effects of perceptual learning of color discrimination on various color perception properties. The obser... [more] |
HI2023-3
pp.45-48 |
| MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-21
14:45 |
Hokkaido |
Hokkaido Univ. |
A Note on Improvement of Binauralization Performance Based on Multi-view Learning on 360° Videos
Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose a binaural audio generation method based on multi-view learning using 360◦ videos. Conventiona... [more] |
MMS2023-13 ME2023-33 AIT2023-13
pp.65-69 |
| ME, SIP, TOKAI |
2022-12-07
13:35 |
Aichi |
(Primary: On-site, Secondary: Online) |
Skeleton Estimation for Swing based on Deep Model by Introducing Articulation Constraints into Training
Atsuki Sakata, Shogo Kihira, Nobutaka Shimada (Ritsumeikan Univ.), Yuki Nagano, Masahiki Ueda (SRI) |
For the purpose of developing the automatic diagnosis system of players' golf swing, we propose a method for estimating ... [more] |
ME2022-91 SIP2022-10
pp.23-26 |
| ME, SIP, TOKAI |
2022-12-07
15:00 |
Aichi |
(Primary: On-site, Secondary: Online) |
Comparison of gazing points and gaze prediction of midfielders in soccer training
-- for professional and college student soccer players --
Ryo Isa, Kyosuke Horio, Tsubasa Hirakawa, Takayoshi yamashita, Hironobu Fujiyoshi (Chubu Univ.) |
Gaze behavior in sports has received widespread attention. The purpose is to quantitatively analyze and compare the eye ... [more] |
ME2022-94 SIP2022-13
pp.35-38 |
| BCT, IEICE-SIS |
2022-10-14
10:00 |
Aomori |
Hachinohe Institute of Technology
(Primary: On-site, Secondary: Online) |
Robust Semi-Supervised Learning for Noisy Labels Using Early-learning Regularization and Weighted Loss
Ryota Higashimoto, Soh Yoshida, Mitsuji Muneyasu (Kansai Univ.) |
Training Deep Neural Networks (DNNs) on datasets with incorrect labels (label noise) is an important challenge. In the p... [more] |
|