| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| 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
11:00 |
Hokkaido |
Hokkaido Univ. |
A note on text prompt tuning in cross-modal image retrieval for a specific database
Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
With the development of storage devices and the Internet, the number of users creating personal image databases has incr... [more] |
MMS2023-3 ME2023-23 AIT2023-3
pp.11-15 |
| 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 |
| MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-22
14:00 |
Hokkaido |
Hokkaido Univ. |
Hierarchical Minimum-Sized Object Detection Method using Clustering Algorithm for UAV Autonomous Flight
Yusei Horikawa, Makoto Sugaya, Tetsuya Matsumura (Nihon Univ) |
This paper describes an efficient minimum-sized object detection method in high-Resolution images for UAV autonomous fli... [more] |
MMS2023-31 ME2023-51 AIT2023-31
pp.235-238 |
| BCT, IEEE-BT |
2023-02-16
14:30 |
Osaka |
Osaka Museum of History |
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 |
| ME |
2023-02-04
13:30 |
Online |
online |
Fundamental Study on Sign Language Learning using HMD
Takumi Hiraoka, Takeaki Shionome (Teikyo Univ.) |
In sign language learning using a head-mounted display (HMD), the hand tracking function provides the user with the poss... [more] |
ME2023-11
pp.41-44 |
| ME, SIP, TOKAI |
2022-12-07
10:50 |
Aichi |
(Primary: On-site, Secondary: Online) |
[Short Paper]
3D Facial Recognition for Genetic Studies based on PointNet++
Kazuma Okada, Takuma Terada, Jiaqing Liu (Ritsumeikan Univ.), Tomoko Tateyama (Fujita Health University), Ryosuke Kimura (Ryukyu Univ.), Yen Wei Chen (Ritsumeikan Univ.) |
Recently, the development of genetic research has found a relationship between human face shape and genes. By analyzing ... [more] |
ME2022-88 SIP2022-7
pp.9-11 |
| 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 |
| IIEEJ, AIT |
2022-10-30
14:50 |
Online |
on line |
[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 |
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 |
| IIEEJ, AIT |
2022-10-31
11:00 |
Online |
on line |
|
Along with the increase in the feeding rate of the pets such as dogs and cats, the amount of time people spend together ... [more] |
AIT2022-183
pp.45-48 |
| BCT, IEICE-SIS |
2022-10-13
16:00 |
Aomori |
Hachinohe Institute of Technology
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Quasiconformal Mapping and its Application
-- Numerical Method and Application to Machine Learning --
Hirokazu Shimauchi (Hachinohe Inst. of Tech.) |
Quasiconformal mapping is a natural generalization of conformal mapping and plays an important role in the areas of math... [more] |
|
| 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] |
|
| ME |
2022-07-22
16:50 |
Online |
Online |
Deep Learning based Compressed Sensing Image Reconstruction Using Multiple Signal Under-sampling Pattern
Masaki Shibui, Kazuki Yamato, Satoshi Ito (Utsunomiya Univ.) |
CS-MRI, which is an application of compressed sensing (CS) to MR image acquisition, can reconstruct MR images from a sma... [more] |
ME2022-71
pp.27-29 |
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-19
09:40 |
Kumamoto |
Kumamoto University
(Primary: On-site, Secondary: Online) |
Variational Autoencoders Conditioned by Contrastive Features as Style-Feature Extractors
Suguru Yasutomi, Toshihisa Tanaka (TUAT) |
Extracting style features is crucial for investigating the characteristics of data. This paper proposes a variational au... [more] |
|
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-19
15:10 |
Kumamoto |
Kumamoto University
(Primary: On-site, Secondary: Online) |
Arrhythmia catheter ablation point prediction from ECG and CT image based on machine learning
Kazuyuki Ohmura (GEHCJ), Kenichiro Yamagata, Kengo Kusano (NCVC), Nozomu Uetake (GEHCJ) |
Catheter ablation is the key therapy in treating arrhythmia. For this treatment planning, 3D electroanatomical map is us... [more] |
|
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-19
16:10 |
Kumamoto |
Kumamoto University
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Image and Video Restoration with Deep Learning
Satoshi Iizuka (Univ. of Tsukuba) |
In this talk, I will introduce techniques for restoring black-and-white images and videos with high accuracy using deep ... [more] |
|
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-20
09:40 |
Kumamoto |
Kumamoto University
(Primary: On-site, Secondary: Online) |
User identification on Walking by Deep Learning Based on 3-axis Acceleration after Coordinate Transformation of Smartphone
Pengfei Yang, Qun Yang, Yuji Watanabe (Nagoya City Univ.) |
In this paper, we first transform the 3-axis acceleration data of smart phone, which is left in our laboratory, from the... [more] |
|
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-20
16:40 |
Kumamoto |
Kumamoto University
(Primary: On-site, Secondary: Online) |
3D Medical Image Segmentation Using 2.5D Deformable Convolutional CNN
Yuya Okumura, Kudo Hiroyuki, Takizawa Hotaka (Tsukuba Univ.) |
An effective method to improve the accuracy of 3D medical image segmentation using deep learning is to use deformable co... [more] |
|