| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| 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] |
|
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-20
17:00 |
Kumamoto |
Kumamoto University
(Primary: On-site, Secondary: Online) |
Deformable registration of 3D medical images with Deep Residual UNet
Taiga Nakamura, Yuki Sato, Hiroyuki Kudo, Hotaka Takizawa (Univ. of Tsukuba) |
(To be available after the conference date) [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
13:28 |
Online |
Online |
Style-invariant representations and frame-aware constraints for manga face image clustering
Shunta Komatsu (TUS), Ryosuke Furuta (UTokyo), Yukinobu Taniguchi (TUS), Ryota Hinami, Shonosuke Ishiwatari (Mantra) |
Character recognition in manga is an important task to improve the usability of e-comics through recommendation systems ... [more] |
AIT2022-78
pp.153-156 |
| 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, IIEEJ, AS, CG-ARTS |
2022-03-08
15:51 |
Online |
Online |
An AR-based Display System of Reference Information for Self-study with Hand-Motion Input based on Posture Recognition by Machine Learning
Rikuto Ando, Mitsunori Makino (Chuo Univ.) |
To support mathematics learning, we propose an AR system that displays information on a desk. This system uses machine l... [more] |
AIT2022-90
pp.201-204 |
| AIT, IIEEJ, AS, CG-ARTS |
2022-03-08
10:30 |
Online |
Online |
Using Deep Learning to Generate Water Effects for 2D Animation
Zhaolou Liang, Masaki Abe, Taichi Watanabe (Tokyo Univ of Technology) |
In 2D animation effects, hand-drawn drawings and 3D simulations are used. Hand-drawn images have a high artistic and des... [more] |
AIT2022-112
pp.283-284 |
| 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, IIEEJ, AS, CG-ARTS |
2022-03-08
13:50 |
Online |
Online |
An Experimental Study on Estimating Residual Quantity of Foodstuff based on Deep Learning using 3D Model
Hiromu Takata, Syuhei Sato, Shangce Gao, Zheng Tang (Univ. Of Toyama) |
With the recent development of deep learning techniques, many image recognition methods have been proposed for various o... [more] |
AIT2022-147
pp.393-394 |
| HI, IEICE-HIP, ASJ-H, VRPSY [detail] |
2022-02-27
14:15 |
Online |
on line |
A time-series learning model for estimating the microsaccade segments from fixation eye movement data
Tomoaki Morimoto, Kousuke Nakagaki, Masahito Sakaguchi, Ryoma Kobata, Hisashi Yoshida, Takeshi Kohama (Kindai Univ.) |
In this study, we constructed a time-series learning model with the structure of Bi-LSTM for fixation eye movement data ... [more] |
HI2022-4
pp.33-38 |
| HI, IEICE-HIP, ASJ-H, VRPSY [detail] |
2022-02-28
09:45 |
Online |
on line |
Estimation of speech emotional intensity model using impression ratings
Megumi Kawase, Minoru Nakayama (Tokyo Tech) |
We used deep learning to estimate emotional intensity from speech. In our previous study, we considered emotional intens... [more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
12:45 |
Online |
online |
Quality Assessment for 3D CG Image Colorization Using Visible Digital Watermarking after Noise Removal Based on Sparse Dictionary Learning Coding
Norifumi Kawabata (Hokkaido Univ.) |
Thus far, we discussed to represent image data whether it is possible or not to represent meaning image how requirement ... [more] |
MMS2022-6 ME2022-31 AIT2022-6
pp.31-36 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
16:45 |
Online |
online |
A Note on Disentanglement Using Deep Generative Model Based on Variational Autoencoder
-- Introduction of Regularization Losses Based on Metrics of Disentangled Representation --
Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we study disentangled representation learning using a deep generative model based on Variational Autoenco... [more] |
MMS2022-19 ME2022-44 AIT2022-19
pp.97-102 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
11:00 |
Online |
online |
Illustration author style translation using SailormoonRedraw data
Keita Awane, Daichi Horita, Hikaru Ikuta, Yusuke Matsui (UTokyo), Naohiro Yanase (BOOK WALKER), Kiyoharu Aizawa (UTokyo) |
The author characteristics of illustrations can be divided into two elements: "what to draw" and "how to draw". The latt... [more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
11:30 |
Online |
online |
|
The dynamic range of electronic imaging is orders of magnitudes smaller than that of human vision. To obtain images of h... [more] |
|