| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| AIT, IIEEJ, AS, CG-ARTS |
2023-03-06
16:03 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano)
(Primary: On-site, Secondary: Online) |
Motion reconstruction of articulated objects from point clouds with a sample video and a specified rotation axis
Sakura Shinji, Issei Fujishiro (Keio Univ.) |
Simulated experience and reliving of real-life scenes are good examples of the use of three-dimensional virtual space. I... [more] |
AIT2023-71
pp.135-138 |
| 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 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
14:50 |
Online |
Online |
Production and Evaluation of Data Set for Semantic Segmentation of 3D CG Image by H.265/HEVC
Norifumi Kawabata (Tokyo Univ. of Science) |
As one of purpose of study on image segmentation, we are able to consider whether between object and background region c... [more] |
|
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-19
14:35 |
Online |
Online |
[Special Talk]
Store Channel Customer Segmentation using transaction data
Yuji Sakagawa (Hokkaido Univ.) |
We attempted to identify market segments based on real and online stores in a specific area by latent class analysis. As... [more] |
MMS2021-23 ME2021-23 AIT2021-23
pp.177-179 |
| IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] |
2020-05-29
14:10 |
Online |
Online |
Construction of Hidden Markov Models for Brain Tumor Segmentation
Takuya Honda, Yuta Nakahara, Matushima Toshiyasu (Waseda Univ.) |
Brain tumor segmentation is one of the systems that a computer, which has attracted attention in recent years, assists d... [more] |
|
| IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] |
2020-05-29
14:30 |
Online |
Online |
A method for analyze causes of deterioration of predict quality when Deep Learning is applied to instance segmentation
Tomonori Kubota, Takanori Nakao, Masafumi Katoh, Eiji Yoshida, Hidenobu Miyoshi (Fujitsu Lab.) |
In this paper, we propose a method to analyze the cause of deterioration of prediction accuracy in instance segmentation... [more] |
|
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
10:00 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
A lane estimation method by road image analysis with influence reduction of other vehicles
Kohei Mori, Yuki Yokohata, Takahiro Hata, Aki Hayashi, Kazuaki Obana (NTT) |
We have been promoting smart mobility like advanced navigation services or driving support services. GPS is one of usefu... [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-ITS, IEICE-IE, AIT, HI, ME [detail] |
2011-02-21
- 2011-02-22 |
Hokkaido |
Hokkaido University |
Segmentation of 3D-model focused on a protruded shape
Wakida Shiro, Aono Masaki (Toyohashi Univ. of Tech.) |
3D shape models have been used in many fields. Segmentation of 3D model is a technology that allows us to split the mode... [more] |
HI2011-11 ME2011-50 AIT2011-11
pp.215-220 |