| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| AIT, IIEEJ, AS, CG-ARTS |
2024-03-05
15:04 |
Tokyo |
Tokyo University of Technology |
Brittle Fracture Shape Generation of Plane Objects by Conditional GAN
Yuma Aoki, Kohei Tokoi (Wakayama Univ.) |
Physics-based fracture simulation can generate realistic debris shapes, but it is difficult to use in applications that ... [more] |
AIT2024-114
pp.284-287 |
| IIEEJ, AIT |
2023-06-04
11:00 |
Tokyo |
TOKYO CITY UNIVERSITY
(Primary: On-site, Secondary: Online) |
A study of feature extraction methods for clusters in image classification using deep metric learning
-- Visualization of features using factor information common to clusters --
Haruya Tanaka, Chanjin Seo, Jun Ohya (Waseda Univ.), Hiroyuki Ogata (Seikei Univ.) |
In recent years, the running population has been increasing, and demand for coaching systems for amateur runners is expe... [more] |
AIT2023-138
pp.55-58 |
| 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] |
|
| 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
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] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2022-03-08
15:37 |
Online |
Online |
Awareness Games: Research on entertainment games that lead to unintentional learning
-- Qualitative survey of learning methods and content --
Luna Matsukawa, Masanobu Endo (TPU) |
Serious games are developed for the purpose of learning and solving problems. In contrast, there are entertainment games... [more] |
AIT2022-80
pp.161-163 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
15:35 |
Online |
online |
Liver Tumor Segmentation by Using a Massive-Training Artificial Neural Network (MTANN) and its Analysis in Liver CT.
Yuqiao Yang, Muneyuki Sato, Ze Jin, Kenji Suzuki (Tokyo Tech) |
Based on a 3D massive-training artificial neural network (MTANN) combined with a Hessian-based ellipse enhancer, a small... [more] |
|
| ME |
2021-07-16
14:00 |
Online |
Online |
Image Quality Improvements Using Half Fourier Encoding Method and Non-random Signal Under-sampling in CS-MRI Deep Learning Reconstruction
Yuta Miyamoto, Satoshi Ito (Utsunomiya Univ.) |
Compressed Sensing has the potential to reduce the scan time of MRI, and recently, deep learning has attract at tensions... [more] |
ME2021-63
pp.9-11 |
| AIT, IIEEJ, AS, CG-ARTS |
2020-03-13
14:20 |
Tokyo |
Tokyo University of Technology
(Cancelled) |
Word learning application using a match 3 puzzle
Shiyu Sun, Ikuko Tsubaki (TUT) |
Katakana words are particularly difficult to remember for Chinese students. In this study, a katakana word learning appl... [more] |
AIT2020-149
pp.327-328 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
16:20 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
[Special Talk]
Neighbor-Aware Approaches for Pixel Labeling
Ryosuke Furuta (TUS), Naoto Inoue, Toshihiko Yamasaki (UT) |
Pixel labeling is one of the most classical and important problems in the field of computer vision because it has a vari... [more] |
|
| IEICE-IE, IEICE-EMM, IEICE-LOIS, IEE-CMN, ME, IPSJ-AVM [detail] |
2019-09-19
15:35 |
Niigata |
Tokimeito, Niigata University |
Digital watermarking method against print-cam attack using deep learning for synchronization
Hiroyuki Imagawa, Motoi Iwata, Koichi Kise (Osaka Pref. Univ.) |
In this paper, we propose a novel watermarking method against print-cam attack.
Digital watermarking is used to get inf... [more] |
|
| IEICE-SIS, IPSJ-AVM, 3DMT [detail] |
2019-06-13
14:25 |
Nagasaki |
Fukue Culture Center |
Single Image Super-Resolution for being flexible to downsampling kernel by using self-examplers
Shogo Seta, Takuro Yamaguchi, Masaaki Ikehara (Keio Univ) |
We propose a fast single super resolution which is comparable image quality with conventional methods without being bas... [more] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2019-03-12
11:15 |
Tokyo |
Waseda Univ. |
Application of image recognition technology for movie scene search
Yuya Iino, Meeko Kuwahara, Kazuya Ueki (Meisei Univ.) |
Various methods can be considered for scene search, but in this paper we propose application of image recognition techno... [more] |
AIT2019-52
pp.9-12 |
| AIT, IIEEJ, AS, CG-ARTS |
2019-03-12
11:15 |
Tokyo |
Waseda Univ. |
Consideration on diffusion of e-book for infants
-- Focus on language learning --
Masatoshi Tezuka, Youhei Seta (Meisei Univ.), Anna Kato (Tut), Yuankai Gao (Meisei Univ.), Ikuko Tubaki (Tut), Kazuya Ueki, Meeko Kuwahara (Meisei Univ.) |
In recent years, the penetration rate of e-books has different preferences by genre and age group. With the development ... [more] |
AIT2019-59
pp.37-40 |
| IST, ME, IEICE-BioX [detail] |
2016-06-20
17:30 |
Ishikawa |
Ishikawa-Shiko-Kinen-Bunka-Kouryukan |
[Invited Talk]
Challenge of electroencephalogram be leading new world
Minoru Nakazawa (KIT) |
In recent years, the development of the study to read the brain activity of human is remarkable. A method to read brain ... [more] |
IST2016-33 ME2016-78
pp.31-36 |
| IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] |
2013-02-18
10:00 |
Hokkaido |
Hokkaido Univ. |
Efficient Saliency Estimation Using Weakly Supervised Learning and Its Application to Video Classification
Tadashi Matsumura (Kobe Univ.), Kimiaki Shirahama (Muroran Inst. of Tech.), Kuniaki Uehara (Kobe Univ.) |
This paper develops a ``Focus of Attention'' (FoA) method which detects salient regions in videos based on ``contextual ... [more] |
HI2013-3 ME2013-31 AIT2013-3
pp.13-18 |
| ME, IST |
2012-06-11
14:00 |
Ishikawa |
Kanazawa Univ. |
Input action classification using principal component analysis in a 3D gesture interface for mobile devices
Tomoko Muraiso, Kayo Ogawa (JWU), Takashi Komuro (Saitama Univ.) |
In this research we propose a new motion classification method using principal component analysis to improve operability... [more] |
IST2012-31 ME2012-82
pp.9-12 |