Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IIEEJ, AIT |
2021-10-28 11:30 |
Osaka |
(Primary: On-site, Secondary: Online) |
Speech Organ Figure Models Development using a 3D printer Makoto J. Hirayama (O. I. T.) |
Figure models of speech organs are being developed for research and education of speech production. A 3D printer is use... [more] |
AIT2021-152 pp.47-50 |
IEICE-LOIS, IEICE-EMM, IEICE-IE, IEE-CMN, ME, IPSJ-AVM [detail] |
2021-08-26 09:55 |
Online |
Online |
Adaptive Threshold Determination in Predictor Generation for Compression of Sparse Point Cloud Kohei Matsuzaki, Kei Kawamura (KDDI Research) |
Point cloud compression is an essential technique for realizing point cloud applications for practical use. In the case ... [more] |
ME2021-68 pp.37-42 |
AIT, IIEEJ, AS, CG-ARTS |
2021-03-08 15:00 |
Online |
Online |
A Production Support System of "Torii" and "Shaden" Considering Architectural Styles Yuzuka Suzuki, Yoshihisa Kanematsu (TUT), Ryuta Motegi (TMU), Koji Mikami (TUT) |
When modeling a shrine, knowledge of shrine architecture is required. The goal of this study was to develop a tool that ... [more] |
AIT2021-121 pp.307-310 |
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-19 14:15 |
Online |
Online |
[Special Talk]
A Note on Electron Microscope Image Generation from Mix Proportion via Conditional Style Generative Adversarial Network for Rubber Materials Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Estimating the properties of rubber materials from ingredients is necessary to accelerate rubber material development. I... [more] |
MMS2021-22 ME2021-22 AIT2021-22 pp.171-175 |
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27 14:55 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
A Note on Estimation of Image Categories Using Brain Activity While Viewing Images Based on MVBGM-MS Yusuke Akamatsu (Hokkaido Univ.), Ryosuke Harakawa (Nagaoka Univ. of Tech.), Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents multi-view Bayesian generative model for multi-subject fMRI data (MVBGM-MS) for accurate estimation ... [more] |
MMS2020-16 HI2020-16 ME2020-44 AIT2020-16 pp.79-83 |
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27 16:20 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
A Note on Generation of Electron Microscope Images via Auxiliary Classifier Generative Adversarial Network with Mix Proportions Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we investigate a method for generation of images that represent the internal structure of rubber material... [more] |
MMS2020-21 HI2020-21 ME2020-49 AIT2020-21 pp.107-111 |
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27 11:25 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
A speech synthesis from electromyography using CNN Kiyotaka Miyasaka, Yuji sakamoto (Hokkaido Univ.) |
Speech communication can provide various expressions intuitively. However, when communicate with aphonic people or in no... [more] |
MMS2020-28 HI2020-28 ME2020-56 AIT2020-28 pp.163-167 |
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-28 15:10 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
Unpaired Learning for Noise-free, Scale Invariant, and Interpretable Image Enhancement Satoshi Kosugi, Toshihiko Yamasaki (Univ. of Tokyo) |
This paper tackles unpaired image enhancement, a task of learning a mapping function which transforms input images into ... [more] |
|
IEICE-IE, IEICE-CS, IPSJ-AVM, BCT [detail] |
2019-12-06 10:10 |
Iwate |
Aiina Center |
Adversarial Examples for Monocular Depth Estimation CNN Koichiro Yamanaka, Ryutaroh Matsumoto, Keita Takahashi, Toshiaki Fujii (Nagoya Univ.) |
Adversarial examples for classification and object recognition problems using convolutional neural net- works (CNN) have... [more] |
|
IEICE-SIS, IPSJ-AVM, 3DMT [detail] |
2019-06-13 11:20 |
Nagasaki |
Fukue Culture Center |
A random number generation method for hardware implemented neural networks Sansei Hori, Hakaru Tamukoh (Kyushu Inst. of Tech.) |
This study proposes a hardware oriented random number generation method to implement a stochastically neural networks su... [more] |
|
AIT, IIEEJ, AS, CG-ARTS |
2019-03-12 14:00 |
Tokyo |
Waseda Univ. |
GAN Framework of Fitting Preference Distribution of "Kawaii" Wu Shuangmei, Xie Haoran, Miyata Kazunori (JAIST) |
To study male characters reflecting user's preferences in the generation results is a challenging task. In this work, we... [more] |
AIT2019-135 pp.301-304 |
ME |
2019-02-09 13:45 |
Kanagawa |
Kanto Gakuin University |
Autonomous mobile robot which plans its path with interpreting the meanings among the spaces formed by multiple people and objects Xianhui Bu, Tomoaki Nakamura, Masahide Kaneko (UEC) |
(To be available after the conference date) [more] |
ME2019-18 pp.59-62 |
AIT, IIEEJ, AS, CG-ARTS |
2018-03-16 12:00 |
Tokyo |
Tokyo University of Technology |
Automatic Generation of Blowing Animation Taking Physical Movements Synchronized with Digital Music into Account Eri Horii, Koh Takeuchi, Issei Fujishiro (Keio Univ.) |
There are known many animation works with the theme of music performance. Though they commonly aim at generating realist... [more] |
AIT2018-48 pp.17-20 |
AIT, IIEEJ, AS, CG-ARTS |
2018-03-16 12:30 |
Tokyo |
Tokyo University of Technology |
A Proposal of Automatic Handprint Image Generation System Keita Miyawaki, Yosuke Nakamura, Koji Mikami (TUT) |
In the 3DCG model used for horror contents etc., blood of hand print are used to produce fear there is.Although it takes... [more] |
AIT2018-102 pp.213-216 |
ME |
2018-02-24 14:30 |
Kanagawa |
Kanto Gakuin Univ. |
Dynamic Path Planning for Autonomous Mobile Robot with Spatiotemporal RRT Using Limited Local Information under Crowded Condition Kazuki Nakamura, Tomoaki Nakamura, Masahide Kaneko (UEC) |
A robot that can work with humans under the daily lives environment should have the function of autonomous movement. Thi... [more] |
ME2018-67 pp.89-92 |
IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] |
2018-02-16 10:45 |
Hokkaido |
Hokkaido Univ. |
A Note on Use of Generative Adversarial Networks for Gastritis Classification from Gastric X-ray Images Ren Togo, Kenta Ishihara, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents potential of gastritis images generated by generative adversarial networks (GANs) for gastritis clas... [more] |
MMS2018-31 HI2018-31 ME2018-31 AIT2018-31 pp.299-303 |
ME |
2017-02-18 11:15 |
Kanagawa |
Kanto Gakuin Univ. |
Development and Evaluation of the System for Supporting Creation of Contemporary Dance Yuho Yazaki, Asako Soga (Ryukoku Univ), Bin Umino (Toyo Univ), Motoko Hirayama (Tsukuba Univ) |
The purpose of this study is to support the creation of contemporary dance choreography using 3D motion data acquired by... [more] |
ME2017-10 pp.35-38 |
IEICE-HIP, HI [detail] |
2016-12-20 16:30 |
Miyagi |
Reserach Institute of Electrical Communication, Tohoku University |
Evaluation of perceived reality by multimodal contents with generated vibration information Hiroyuki Yagyu, Zhenglie Cui, Shuichi Sakamoto, Yoiti Suzuki, Jiro Gyoba (Tohoku Univ.) |
The previous study reported that perceived sense of reality from multimodal contents can be enhanced by adding full-body... [more] |
|
IST |
2016-03-11 15:55 |
Tokyo |
NHK Research Lab (Setagaya) |
Device Simulations for Ultrahigh-Speed and High-Voltage Image Sensors Hideki Mutoh (Link Research) |
Physical models and algorithms for use in device simulations of ultrahigh-speed and high-voltage image sensors are repor... [more] |
IST2016-18 pp.45-48 |
AIT, IIEEJ, AS |
2016-03-09 13:39 |
Tokyo |
Tokyo Polytechnic Univ. |
An autonomous behavior generation method of a large scale infantry combat that utilize the terrain tactics using potential method Toshiya Kira, Kohe Tokoi (Wakayama City Univ) |
In the video game, the battle that between the characters is popular. The game on the battlefield needs to generate a re... [more] |
AIT2016-52 pp.41-44 |