| 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 |
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-20
10:40 |
Kumamoto |
Kumamoto University
(Primary: On-site, Secondary: Online) |
|
n this paper, GAN learning was performed using a dataset of live-action pig images taken in the previous year to generat... [more] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2022-03-08
13:04 |
Online |
Online |
Photo Retouching for Mixed Painting Material Style in Digital Illustrations with Verification of its Visual Effects
Tomoya Kobayashi, Issei Fujishiro (Keio Univ.) |
In digital illustration, there exist painting styles that combine multiple visual effects specific to painting materials... [more] |
AIT2022-61
pp.91-94 |
| 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
12:40 |
Online |
Online |
A Picture Style Transfer System for Tourist Attractions using CycleGAN and Instance Segmentation
Hiraku Matsuda, Mutsuo Sano (OIT) |
In recent years，the tourism industry has been severely affected by the novel coronavirus．In order to prevent infection，i... [more] |
AIT2022-74
pp.141-144 |
| 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] |
|
| 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 |
| HI |
2021-03-05
14:05 |
Online |
|
[Short Paper]
Fault determination of electric motor coil by YOLO-v3 with Attention
Mizuki Kato (Ritsumeikan Univ Grad), Yutaro Iwamoto (Ritsumeikan Univ), Toshitaka Sugimoto, Toru Aiba (Kusatsu Electric), Yen-Wei Chen (Ritsumeikan Univ) |
Object detection has been widely applied to the visual inspection of factory products. However, since the detection mode... [more] |
HI2021-7
pp.25-26 |
| 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
16:35 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
A Study on Region Segmentation of Color Laparoscopic Images after Contrast Enhancement Including Super-Resolution CNN by Image Regions
Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) |
As one of image pre-processing method to detect, recognize, and estimate lesion or characteristic region in medical imag... [more] |
MMS2020-22 HI2020-22 ME2020-50 AIT2020-22
pp.113-118 |
| 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] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2019-03-12
15:45 |
Tokyo |
Waseda Univ. |
Semantic Segmentation for 3D Human Models
Satoshi Yamaguchi, Yoshihiro Kanamori, Jun Mitani (University of Tsukuba) |
We propose a technique for semantic segmentation of 3D human models. Existing techniques for general 3D objects solely r... [more] |
AIT2019-80
pp.119-122 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-19
16:30 |
Hokkaido |
Hokkaido Univ. |
A Fundamental Study on Laparoscopic Image Region Segmentation Based on Texture Analysis by Regions
Norifumi Kawabata (Nagoya Univ.), Toshiya Nakaguchi (Chiba Univ.) |
Most of image region segmentation studies can be divided to both subjective method by assessors and objective method by ... [more] |
MMS2019-15 HI2019-15 ME2019-37 AIT2019-15
pp.125-130 |
| IIEEJ, AIT |
2018-08-09
15:00 |
Nagano |
Shinshu Univ. |
Image Inpainting by Poisson Image Editing considering color boundary
Yuki Tanaka, Hiromi Yoshida, Youji Iiguni (Osaka Univ.) |
In this report, we propose an image completion method considering texture representation. In the conventional method, th... [more] |
AIT2018-157
pp.13-16 |
| ME |
2018-02-24
14:45 |
Kanagawa |
Kanto Gakuin Univ. |
Stereoscopic Image Generation Based on Automatic Segmentation for One Point Perspective Images
Kenta Suda, Kazuto Kamikura (Tokyo Polytechnic Univ.) |
Digital contents using 3D technology can be enjoyed by general users.
Studies to convert 2D images to stereoscopic ima... [more] |
ME2018-62
pp.69-72 |
| IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] |
2018-02-16
11:15 |
Hokkaido |
Hokkaido Univ. |
A note on classification of brain metastases from MR images based on machine learning
Kento Sugata, Takahiro Ogawa, Miki Haseyama, Khin Khin Tha, Kohsuke Kudo, Hiroki Shirato (Hokkaido Univ.) |
This paper presents a method that classifies magnetic resonance (MR) images suffered from brain metastases. The proposed... [more] |
MMS2018-33 HI2018-33 ME2018-33 AIT2018-33
pp.311-314 |