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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| HCS, CNR | 2023-11-06 15:30 |
Tokyo | Kogakuin University (Primary: On-site, Secondary: Online) |
Effect of Assertive Feedback from a Job Interview Training Agent Nao Takeuchi, Tomoko Koda (OIT), Miho Hotta (KINDAI)  CNR2023-25 HCS2023-87 |
In this study, we developed an interview training system in which a virtual agent provides feedback on improvements in i... [more] | CNR2023-25 HCS2023-87 pp.96-101 |
| BioX, SIP, IE, ITE-IST, ITE-ME [detail] | 2023-05-18 13:50 |
Mie | Sansui Hall, Mie University (Primary: On-site, Secondary: Online) |
[Invited Talk]
Introduction on the Contact-less Multi-modal Biometric Authentication Technology Narishige Abe (Fujitsu) SIP2023-3 BioX2023-3 IE2023-3 |
The popularization of the identity confirmation solution using the biometrics in which high security and high convenienc... [more] | SIP2023-3 BioX2023-3 IE2023-3 pp.6-9 |
| ET | 2023-03-14 11:20 |
Tokushima | Tokushima University (Primary: On-site, Secondary: Online) |
Knowledge Externalization Support System for Online Bereavement Care
-- Through Analysis of Empathy -- Katsuya Fukuoka (Graduate School of OPU), Yuki Hayashi, Kazuhisa Seta, Yasuo Naito (Graduate School of OMU), Yumiko Matsushita (Konan Women's University) ET2022-67 |
In this study, focusing on bereavement care, we have proposed a knowledge co-creation framework for the creation of prac... [more] | ET2022-67 pp.41-48 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 14:45 |
Hokkaido | Hokkaido Univ. | A Note on Improvement of Binauralization Performance Based on Multi-view Learning on 360° Videos Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose a binaural audio generation method based on multi-view learning using 360◦ videos. Conventiona... [more] | |
| SeMI, SeMI (Joint) |
2023-01-19 15:25 |
Tokushima | Naruto grand hotel (Primary: On-site, Secondary: Online) |
[Short Paper]
Multimodal Image Inpainting Using Camera Imagery and WiFi RSSI Cheng Chen, Takayuki Nishio (Tokyo Tech), Mehdi Bennis (Oulu Univ.), Jihong Park (Deakin Univ.) SeMI2022-83 |
This study demonstrates the feasibility of image inpainting using both visual information and radio frequency (RF) signa... [more] | SeMI2022-83 pp.51-53 |
| AI | 2022-12-21 14:10 |
Fukuoka | Application of artificial intelligence techniques to multi-modal data obtained in cognitive behavioral therapy and clinical assessment
-- Identification of mental status and estimation of treatment outcomes -- Yuko Shigeeda (NCNP), Takuichi Nishimura (JAIST), Yoshitake Takebayashi (FMU), Jun Kashihara (TU), Seiji Muranaka (OU), Shun Nakajima (NCNP), Shuntaro Aoki (FMU), Chiaki Oshiyama (JAIST), Yoshihiko Kunisato (SU), Daichi Sugawara (ITF), Takumasa Tsuji, Jun'ichi Kotoku (Teikyo), Hitomi Oi, Kaichi Yabe, So Sugita, Noriko Kato, Masaya Ito (NCNP) AI2022-40 |
We are conducting research within the Area of Scientific Transformation (B), "Ultra-high-definition mental health care T... [more] | AI2022-40 pp.42-45 |
|
| PRMU | 2022-12-15 16:00 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
[Short Paper]
An Intra- and Inter-Modality Transformer-based Fusion Model Using Multiemotional Audiovisual Features for Depression Prediction Shiyu Teng, Shurong Chai, Jiaqing Liu (Ritsumeikan Univ.), Tateyama Tomoko (Fujita Health Univ.), Xinyin Huang (Soochow Univ.), Yen-wei Chen (Ritsumeikan Univ.) PRMU2022-42 |
Depression is a prevalent mental ailment that causes many diseases all over the world. Identification of people with men... [more] | PRMU2022-42 pp.54-56 |
| SC | 2022-03-11 17:20 |
Online | EventIn | Proposal of Multi-Modal Diary Service for Assisting Elderly Self-Care Using Spoken Dialogue Agent Sinan Chen, Hayato Ozono, Masahide Nakamura (Kobe Univ.) SC2021-48 |
As Japan's aging population and low birth rate, the self-care of elderly people at home has become increasingly in deman... [more] | SC2021-48 pp.75-80 |
| HCS, HIP, HI-SIGCOASTER [detail] | 2021-05-25 12:50 |
Online | Online | Development of a Job Interview Training System with Multi-modal Behavior Analysis Nao Takeuchi, Tomoko Koda (OIT) HCS2021-10 HIP2021-10 |
This paper introduces a job interview training system that recognizes the nonverbal behaviors of the interviewee, namely... [more] | HCS2021-10 HIP2021-10 pp.50-54 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-04 16:45 |
Online | Online | Evaluation of Attention Fusion based Audio-Visual Target Speaker Extraction on Real Recordings Hiroshi Sato, Tsubasa Ochiai, Keisuke Kinoshita, Marc Delcroix, Tomohiro Nakatani, Shoko Araki (NTT) EA2020-88 SIP2020-119 SP2020-53 |
The audio-visual target speech extraction, which aims at extracting a target speaker's voice from a mixture with audio a... [more] | EA2020-88 SIP2020-119 SP2020-53 pp.170-175 |
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2020-12-02 13:50 |
Online | Online | Multi-Modal Emotion Recognition by Integrating of Acoustic and Linguistic Features Ryotaro Nagase, Takahiro Fukumori, Yoichi Yamashita (Ritsumeikan Univ.) NLC2020-14 SP2020-17 |
In recent years, the advanced techique of deep learning has improved the performance of Speech Emotional Recognition as ... [more] | NLC2020-14 SP2020-17 pp.7-12 |
| IBISML | 2020-03-10 15:25 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
Multi-modal Personal Authentication System Using CNN with Voice and Aerial Signature Shogo Takaoka, Takeshi Yoshida, Takuya Kitamura (NIT, Toyama College) IBISML2019-38 |
In this paper, we propose multi-modal personal authentication system using convolution neural network(CNN) with voice an... [more] | IBISML2019-38 pp.37-43 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 09:45 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
Predicting the online video advertising effectiveness with multimodal deep learning Jun Ikeda, Hiroyuki Seshime, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo) IMQ2019-41 IE2019-123 MVE2019-62 |
In this research, we propose a method for predicting the Click Through Rate of video ads and analyzing the factors that ... [more] | IMQ2019-41 IE2019-123 MVE2019-62 pp.133-136 |
| HIP | 2019-12-19 14:00 |
Miyagi | RIEC, Tohoku University | Mathematical Representation of Emotion by Combining Recognition and Unification Tasks Using Multimodal Deep Neural Networks Seiichi Harata, Takuto Sakuma, Shohei Kato (NITech) HIP2019-65 |
To emulate human emotions in robots, the mathematical representation of emotion is important for all components of affec... [more] | HIP2019-65 pp.1-6 |
| NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] | 2019-06-17 13:00 |
Okinawa | Okinawa Institute of Science and Technology | Reliability Assessment by Bayesian Deep Learning for Image-Caption Retrieval Task Kenta Hama, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) IBISML2019-1 |
Following the development of black-box machine learning algorithms, the practical demand of the re- liability assessment... [more] | IBISML2019-1 pp.1-8 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2018-09-21 13:50 |
Fukuoka | Multi-modal image registration based on local mutual information Hiroaki Tani, Toshikazu Wada (Wakayama Univ) PRMU2018-65 IBISML2018-42 |
In recent years, various types of images having different modality from visible-light images, such as infrared images, d... [more] | PRMU2018-65 IBISML2018-42 pp.207-212 |
|
| PRMU, SP | 2018-06-28 15:10 |
Nagano | Multimodal voice conversion using deep bottleneck features and deep canonical correlation analysis Satoshi Tamura, Kento Horio, Hajime Endo, Satoru Hayamizu (Gifu Univ.), Tomoki Toda (Nagoya Univ.) PRMU2018-24 SP2018-4 |
In this paper, we aim at improving the speech quality in voice conversion and propose a novel multi-modal voice conversi... [more] | PRMU2018-24 SP2018-4 pp.13-18 |
|
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 10:40 |
Okinawa | [Invited Talk]
Progress of Research on Cross-modal Scene Analysis Kunio Kashino (NTT) EA2017-166 SIP2017-175 SP2017-149 |
The problem of scene analysis means to understand, or describe, various external objects or events associated with spati... [more] | EA2017-166 SIP2017-175 SP2017-149 p.353 |
|
| PRMU, SP | 2017-06-22 13:30 |
Miyagi | Broadcast Video Summarization using Multimodal Contents Analysis Atsushi Matsui, Takahiro Mochizuki, Yoshihiko Kawai, Rei Endo (NHK) PRMU2017-26 SP2017-2 |
(To be available after the conference date) [more] | PRMU2017-26 SP2017-2 pp.7-12 |
|
| HCS | 2017-03-15 16:40 |
Miyagi | Emotion expression and emotion judgment from faces and voices according to the social contexts Sachiko Takagi (Tokiwa Univ.), Akihiro Tanaka (TWCU) HCS2016-101 |
(To be available after the conference date) [more] | HCS2016-101 pp.61-66 |
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