Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
DE, IPSJ-DBS, IPSJ-IFAT |
2018-09-13 16:10 |
Tokyo |
|
Estimation of Twitter Emotion Intensity by Using Transfer Learning of Feature Tensors and Emotion Lexicon Shinnosuke Himeno, Masaki Aono (TUT) DE2018-11 |
[more] |
DE2018-11 pp.13-18 |
PRMU, BioX |
2018-03-19 15:40 |
Tokyo |
|
3D Indoor Scene Classification using Images Reflecting the Depth Density of Voxel Group Kazuma Hamada, Masaki Aono (Toyohashi Univ. of Tech.) BioX2017-68 PRMU2017-204 |
Along with the spread of VR technology, demand for applications using scenes composed of 3D data is increasing and the n... [more] |
BioX2017-68 PRMU2017-204 pp.189-194 |
PRMU |
2017-10-12 10:00 |
Kumamoto |
|
Online Human Action Detection using Deep Spatio-temporal Transformation Yukihide Takagaki, Masaki Aono (TUT) PRMU2017-68 |
In this research, we describe online human action detection using Convolutional Neural Network which inputs skeleton dat... [more] |
PRMU2017-68 pp.31-35 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2017-09-16 09:45 |
Tokyo |
|
Time Series Classification based on Image Encoding Considering Anisotropy Shinya Iwamuro, Masaki Aono (TUT) PRMU2017-56 IBISML2017-28 |
[more] |
PRMU2017-56 IBISML2017-28 pp.137-142 |
PRMU, BioX |
2017-03-21 14:10 |
Aichi |
|
Three-dimensional shape retrieval based in voxel representation using LSTM and CNN Ryo Miyagi, Masaki Aono (TUT) BioX2016-67 PRMU2016-230 |
In recent years, with the spread of 3D scanners, VR headsets, etc., there is an increasing demand for recognition and re... [more] |
BioX2016-67 PRMU2016-230 pp.203-208 |
IE, ITE-ME, ITE-AIT [detail] |
2016-10-06 11:30 |
Fukuoka |
|
A Method for Predicting Image Region Specified by Query Texts Kou Endo (TUT), Kotarou Funakoshi, Eric Nichols (HRI-J), Masaki Aono (TUT) IE2016-66 |
We propose a method to identify the area in the image that corresponds to a user's text query. The input to the system i... [more] |
IE2016-66 pp.7-12 |
PRMU, BioX |
2016-03-24 09:30 |
Tokyo |
|
Saliency Feature Representations for Image Captioning Kazuki Yoshii (TUT), Eric Nichols, Kotaro Funakoshi, Mikio Nakano (HRI-JP), Masaki Aono (TUT) BioX2015-41 PRMU2015-164 |
In recent years, due to advances in neural models for representing images and language, multimodal tasks like image capt... [more] |
BioX2015-41 PRMU2015-164 pp.1-6 |
IE, ITE-ME, IPSJ-AVM, ITE-CE [detail] |
2014-08-01 14:15 |
Chiba |
|
Ontology based Supervised Learning for Image Annotation Ismat Ara Reshma, Md Zia Ullah, Masaki Aono (TUT) IE2014-29 |
[more] |
IE2014-29 pp.41-46 |
IN, IA (Joint) |
2012-12-13 15:20 |
Hiroshima |
Hiroshima City Univ. |
An access control for personal and group information based on user context Jin Ito, Hideyuki Kobayashi, Keishi Okamoto (SNCT), Masaki Aono (TUT), Kaoru Takahashi (SNCT) IA2012-60 |
This paper presents an access control for personal and group information based on ontology and user context.
First, an ... [more] |
IA2012-60 pp.7-12 |
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] |
2011-02-22 11:25 |
Hokkaido |
Hokkaido University |
Segmentation of 3D-model focused on a protruded shape Shiro Wakida, Masaki Aono (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] |
|
NC, MBE (Joint) |
2009-03-13 10:10 |
Tokyo |
Tamagawa Univ. |
EEG classification method by adaptive downsampling with training data
-- Experiment with P300 Speller task -- Yuya Sakamoto, Masaki Aono (Toyohashi Univ. of Tech.) NC2008-165 |
To achieve Brain Computer Interface, recording Electroencephalogram (EEG) and classifying whether P300 is evoked by pres... [more] |
NC2008-165 pp.365-370 |
NLC |
2008-02-07 14:00 |
Niigata |
Yuzawa Culture Center |
Opinion Holder Identification
-- Challenge at the NTCIR Opinion Analysis Task -- Yohei Seki (Toyohashi Univ. of Tech.), David Kirk Evans, Noriko Kando (NII), Masaki Aono (Toyohashi Univ. of Tech.) NLC2007-89 |
Opinion holder identification research is important for discriminating between opinions that are viewed from different p... [more] |
NLC2007-89 pp.13-18 |
PRMU, NLC |
2005-09-21 10:00 |
Tokyo |
|
Automatic Annotation and its Features of Japanese and English Sentence Types Yohei Seki (Toyohashi Univ. of Tech.), Noriko Kando (NII), Masaki Aono (Toyohashi Univ. of Tech.) |
The purpose of thie study it to testing for using contextual
information as a subjective feature, which is not focused ... [more] |
NLC2005-28 PRMU2005-55 pp.23-28 |
DE |
2005-07-13 14:00 |
Aomori |
OIRASE |
* Masaki Aono (Toyohashi Univ. of Tech.) |
[more] |
DE2005-30 pp.1-6 |
DE |
2005-07-14 08:50 |
Aomori |
OIRASE |
* , Masaki Aono (Toyohashi Univ. of Tech.) |
[more] |
DE2005-66 pp.7-11 |