| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| ME |
2025-02-22
15:30 |
Online |
online |
Efficiently building image databases linked with floor maps for indoor place recognition.
Shoma Hirano, Yota Yamamoto, Yukinobu Taniguchi (TUS) |
Visual Place Recognition (VPR) is a technology that estimates a user’s current location based on image retrieval using s... [more] |
ME2025-57
pp.61-64 |
| IIEEJ, AIT |
2022-10-30
16:20 |
Online |
on line |
Local Feature Alignment with Attention Mechanism for Cow Re-Identification
Feifan Zhang, Yota Yamamoto, Yukinobu Taniguchi (TUS) |
The purpose of this research is to improve the accuracy of dairy cows’ individual identification by image recognition us... [more] |
AIT2022-178
pp.23-26 |
| AIT, IIEEJ, AS, CG-ARTS |
2022-03-08
09:53 |
Online |
Online |
Manga Inpainting with Author Classification and Line Drawing Clues
Hiroyuki Yokota (TUS), Ryosuke Furuta (UTokyo), Yukinobu Taniguchi (TUS), Ryota Hinami, Shonosuke Ishiwatari (Mantra) |
In order to translate Japanese manga into another language, it is necessary to recognize the contents and position of te... [more] |
AIT2022-51
pp.53-56 |
| AIT, IIEEJ, AS, CG-ARTS |
2022-03-08
09:29 |
Online |
Online |
Context-Aware Speaker Estimation in Manga
Toshiya Yamaguchi (TUS), Ryosuke Furuta (UTokyo), Yukinobu Taniguchi (TUS), Ryota Hinami, Shonosuke Ishiwatari (Mantra) |
In manga, the story unfolds as the illustrated characters speak their lines expressed in text. Therefore, it is importan... [more] |
AIT2022-55
pp.67-70 |
| 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
13:16 |
Online |
Online |
Handwritten Text Detection in Manga based on Deep Learning
Zhong Weibo (TUS), Ryosuke Furuta (UTokyo), Yukinobu Taniguchi (TUS), Ryota Hinami, Shonosuke Ishiwatari (Mantra) |
In this study, we tackle a problem of detecting bounding boxes of handwritten texts in a manga image. The detection of h... [more] |
AIT2022-77
pp.149-152 |
| 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 |
| IIEEJ, AIT |
2021-10-27
15:20 |
Osaka |
(Primary: On-site, Secondary: Online) |
Scene Segmentation for Instruction Videos by Learning Similarity between Videos and Sentence
Jumpei Hayashi, Yota Yamamoto, Yukinobu Taniguchi (TUS) |
In industry such as manufacturing or restaurant, many companies use videos of experts’ work to efficiently transfer thei... [more] |
AIT2021-144
pp.13-16 |
| IIEEJ, AIT |
2021-10-27
16:00 |
Osaka |
(Primary: On-site, Secondary: Online) |
Anomaly detection of dairy cow behavior by image reconstruction
Yuta Okuda, Yota Yamamoto, Yukinobu Taniguchi (Tokyo Univ. of Science) |
[more] |
AIT2021-146
pp.21-24 |
| IIEEJ, AIT |
2020-09-17
15:54 |
Online |
|
Multi-view image generation from RGB-D data for dairy cow identification
Kazuki Wakida, Ryosuke Furuta, Yukinobu Taniguchi (TUS) |
In order to reduce human cost and monitor health conditions of dairy cows, we previously proposed a method for individua... [more] |
AIT2020-168
pp.23-26 |
|