| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| AIT, IIEEJ, AS, CG-ARTS |
2024-03-05
13:54 |
Tokyo |
Tokyo University of Technology |
Study of Music Visualization Design using Musical Information
Naotsuna Fujimori, Ikuko Sawaya, Momoko Maezawa, Kazuteru Komine, Kenichiro Yanagi, Masaru Miyazaki (NHK) |
As part of music visualization research that we are working on, we have been studying designs to visually feel the music... [more] |
AIT2024-66
pp.121-122 |
| AIT, IIEEJ, AS, CG-ARTS |
2023-03-06
12:40 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano)
(Primary: On-site, Secondary: Online) |
New Representations of Content through Visualization of Music
Masaru Miyazaki, Naotsuna Fujimori, Momoko Maezawa, Masaru Takeuchi, Shogo Kawashima, Kazuteru Komine, Kenichiro Yanagi, Ikuko Sawaya (NHK) |
In this paper, we will introduce methods of converting musical expression into visual representations and research work ... [more] |
AIT2023-45
pp.35-38 |
| MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-21
10:30 |
Hokkaido |
Hokkaido Univ. |
Improving Fashion Compatibility Prediction with Color Distortion Prediction
Ling Xiao, Toshihiko Yamasaki (UTokyo) |
Fashion compatibility prediction is suffering from the fact that the labeled dataset may become outdated quickly due to ... [more] |
|
| 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 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
14:50 |
Online |
Online |
A Note on Estimation of Deteriorated Regions Based on Anomaly Detection from Rubber Material Electron Microscope Images
-- Verification of Feature Representations Extracted from Deep Learning Models --
Masanao Matsumoto, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ) |
This paper presents an anomaly detection method for estimation of deteriorated regions from rubber material electron mic... [more] |
MMS2021-9 ME2021-9 AIT2021-9
pp.43-46 |
| BCT, IEICE-SIS |
2019-10-25
11:10 |
Fukui |
Fukui International Activities Plaza |
Image Compression in Encryption-then-Compression System Using Secure Sparse Representations
Takayuki Nakachi (NTT), Hitoshi Kiya (Tokyo Metro. Univ.) |
n this paper, we propose a image compression method using secure sparse representations in Encryption-then-Compression (... [more] |
|
| IEICE-IE, IEICE-EMM, IEICE-LOIS, IEE-CMN, ME, IPSJ-AVM [detail] |
2019-09-19
15:10 |
Niigata |
Tokimeito, Niigata University |
Secure sparse representations in L0 norm minimization
Takayuki Nakachi (NTT), Hitoshi Kiya (Tokyo Metro. Univ.) |
In this paper, we propose a method to estimate secure sparse representations in L0 norm minimization, and evaluate the e... [more] |
|
| AIT, IIEEJ, AS |
2013-03-15
10:30 |
Kanagawa |
Keio Univ. |
Representation of City Landscape Illuminated by Negative Light Sources
Ryo Tanaka, Daiki Umeda, Tomoaki Moriya, Tokiichiro Takahashi (Tokyo Denki Univ.) |
In virtual world, we can create and represent various kinds of phenomenon beyond our imagination as well as the real wor... [more] |
AIT2013-53
pp.73-76 |
| ME |
2009-02-28
13:00 |
Kanagawa |
Kanto Gakuin Univ. |
Range image registration based on adaptive surface approximation
Yoshihiko Sakuraba, Kota Aoki, Hiroshi Nagahashi (Tokyo Tech) |
This paper proposes a method for simplification of 3D shapes based on
spatial approximation using sets of spheres whos... [more] |
ME2008-67
pp.61-64 |