| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| AIT, IIEEJ, AS, CG-ARTS |
2023-03-06
12:40 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano)
(Primary: On-site, Secondary: Online) |
Semiautomatic generation of vignette illustrations from video
-- Reflecting viewer preferences --
Mayu Namai, Issei Fujishiro (Keio Univ.) |
A variety of summarization techniques have recently been published to manage the growing volume of media data, but most ... [more] |
AIT2023-120
pp.301-304 |
| 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 |
| 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] |
|
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-19
14:30 |
Kumamoto |
Kumamoto University
(Primary: On-site, Secondary: Online) |
Detection of Mutation of Driver Gene from Thoracic CT Images Based on Machine Learning
Shion Watanabe, Tohru Kamiya (KIT), Takashi Terasawa, Takatoshi Aoki (UOEH) |
(To be available after the conference date) [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] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2022-03-08
13:04 |
Online |
Online |
Interactive manga colorization system using watershed segmentation
Delong Ouyang (TUS), Ryosuke Furuta (UTokyo), Yugo Shimizu, Yukinobu Taniguchi (TUS), Ryota Hinami, Shonosuke Ishiwatari (Mantra) |
In this paper, we propose an interactive semi-automatic colorization system for manga in order to reduce the time and co... [more] |
AIT2022-66
pp.111-114 |
| AIT, IIEEJ, AS, CG-ARTS |
2022-03-08
13:16 |
Online |
Online |
Semi-automatic Manga Colorization Using Flat Colored Images
Yugo Shimizu (TUS), Ryosuke Furuta (UTokyo), Delong Ouyang, Yukinobu Taniguchi (TUS), Ryota Hinami, Shonosuke Ishiwatari (Mantra) |
To create color comics, manual colorization process is required, which incurs high labor costs. To solve the problem, we... [more] |
AIT2022-67
pp.115-118 |
| AIT, IIEEJ, AS, CG-ARTS |
2022-03-08
10:30 |
Online |
Online |
Movie generation based on higher-order features of music
Takamasa Kobori, Yasunari Obuchi (Tokyo Univ. Tech.) |
When posting their music on the Internet, professional musicians create their own videos or order videos, but this is no... [more] |
AIT2022-118
pp.299-300 |
| 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 |
| BCT, IEICE-SIS |
2021-10-08
10:00 |
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] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2021-03-08
13:30 |
Online |
Online |
Proposal of boxing practice support system with AR
Tsukasa Fujikawa, Ken Ishibashi (Kumamoto Pre Univ.) |
Acquisition of correct forms is the most important training when beginners take up boxing. However, acquirement of corre... [more] |
AIT2021-75
pp.165-168 |
| AIT, IIEEJ, AS, CG-ARTS |
2021-03-08
13:30 |
Online |
Online |
High-Detailing of Low-Detail Motion of CG Characters
Rikuto Tazawa, Hiroshi Mori, Fubito Toyama (Utsunomiya Univ.) |
The motion of a CG character is one of important elements in CG contents. Motion capture and keyframe interpolation are ... [more] |
AIT2021-82
pp.185-186 |
| AIT, IIEEJ, AS, CG-ARTS |
2021-03-08
13:30 |
Online |
Online |
Automatic acoustic scene analysis of touring videos
Daiju Sazuka, Keiko Ochi, Yasunari Oobuchi (Tokyo Univ. Tech.) |
This research proposes a system for creating touring videos with a higher sense of realism. The system combines video ta... [more] |
AIT2021-98
pp.231-232 |
| ME |
2021-02-27
10:15 |
|
|
Automatic Melody Generation using JamSketch with Finger's Image Contour
Ryosei Nakajima (NITKC), Tetsuro Kitahara (NU), Yasuyuki Saito (NITKC) |
The purpose of this study is to construct an automatic composition sys
tem. In recent years, automatic composition usin... [more] |
ME2021-32
pp.13-16 |
| ME |
2021-02-27
14:00 |
|
|
A System for Joining Body Part Motions Using Reinforcement Learning
Takumu Matsushita, Asako Soga (Ryukoku Univ) |
In this study, we developed a system for joining body-part motions using reinforcement learning with the aim of supporti... [more] |
ME2021-43
pp.57-58 |
| 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] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2020-03-13
11:20 |
Tokyo |
Tokyo University of Technology
(Cancelled) |
Mosaic processing to a non-object using the machine learning in the 360-degree real-time picture streaming
Naoto Endo, Subroto Prasetyo Hudiono, Tsukasa Kikuchi (TUT) |
About mosaic processing technique by the facial recognition using the machine learning [more] |
AIT2020-81
pp.113-114 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-28
14:40 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
Feature Interaction based Neural Network for Pair Matching Prediction
Luwei Zhang, Xueting Wang (UTokyo), Shintaro Kaneko, Yusuke Usui, Mizuki Kobayashi, Hiroki Kojima (eureka), Toshihiko Yamasaki (UTokyo) |
Online dating services have become popular in modern society. Pair matching prediction between two users in these servic... [more] |
|
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-28
14:25 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
[Special Talk]
Infrastructure maintenance deta analysis
-- The survey of soundness judgement of bridges by machine learning --
Aoi Hasegawa, Yuki wakuda, Maiku Abe (Hokkaido Univ.), Hiromu Suzuki (NEXCO EAST) |
In this study, we investigate the use of machine learning to estimate the soundness of steel bridge RC slabs. Inspection... [more] |
MMS2020-44 HI2020-44 ME2020-72 AIT2020-44
pp.357-358 |
| ME |
2020-02-08
10:45 |
Kanagawa |
Kanto Gakuin University |
Analysis of dance choreography combination using random forest
Ryosuke Kitai, Asako Soga (RU) |
This study generates by machine learning dance choreographies that can be useful for choreographers. We analyzed using r... [more] |
ME2020-2
pp.5-6 |