IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 68  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
HCGSYMPO
(2nd)
2022-12-14
- 2022-12-16
Kagawa Onsite (Sunport Takamatsu) and Online
(Primary: On-site, Secondary: Online)
Analysis of Heartbeats and Facial Expressions of Game Players -- Toward Objective Measurement of QOL --
Hirotada Ueda, Kei Shimonishi, Kazuaki Kondo, Yuich Nakamura (Kyoto Univ.)
An experiment was conducted to record and analyze heart rate data and facial images of players while playing a game in o... [more]
IA, ICSS 2022-06-24
10:25
Nagasaki Univ. of Nagasaki
(Primary: On-site, Secondary: Online)
Application of Adversarial Examples to Physical ECG Signals
Taiga Ono (Waseda Univ.), Takeshi Sugawara (UEC), Jun Sakuma (Tsukuba Univ./RIKEN), Tatsuya Mori (Waseda Univ./RIKEN/NICT) IA2022-11 ICSS2022-11
This work aims to assess the reality and feasibility of applying adversarial examples to attack cardiac diagnosis system... [more] IA2022-11 ICSS2022-11
pp.61-66
SIS, IPSJ-AVM 2022-06-10
13:00
Fukuoka KIT(Wakamatsu Campus)
(Primary: On-site, Secondary: Online)
[Tutorial Lecture] How to build a High-Precision and Efficient Robot Vision: Dataset Generation and Hardware Implementation for Deep Learning
Hakaru Tamukoh (Kyutech) SIS2022-10
This tutorial lecture explains a construction method for high-precision and efficient robot vision that includes a semi-... [more] SIS2022-10
pp.45-48
KBSE 2022-03-10
10:15
Online Online (Zoom) Safety risk analysis and evaluation method for DNN system in autonomous driving
Tomoko Kaneko, Yuji Takahashi (NII), Shinichi Yamaguchi (SDM), Junji Hashimoto (GREE), Nobukazu Yoshioka (Soudai) KBSE2021-51
There is a great concern about the quality of current AI, especially DNN (deep learning), especially about its safety an... [more] KBSE2021-51
pp.60-65
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-01
12:20
Okinawa
(Primary: On-site, Secondary: Online)
Training Algorithm for Multispeaker Text-To-Speech Synthesis Considering Adversarial Regularizer
Yusuke Nakai, Kenta Udagawa, Yuki Saito, Hiroshi Saruwatari (UTokyo) EA2021-72 SIP2021-99 SP2021-57
(To be available after the conference date) [more] EA2021-72 SIP2021-99 SP2021-57
pp.50-55
VLD, DC, RECONF, ICD, IPSJ-SLDM
(Joint) [detail]
2021-12-01
09:20
Online Online Block Sparse MLP-based Vision DNN Accelerators on Embedded FPGAs
Akira Jinguji, Hiroki Nakahara (Tokyo Tech) VLD2021-21 ICD2021-31 DC2021-27 RECONF2021-29
Since the advent of Vision Transformer, a deep learning model for image recognition without Convolution, MLP-based model... [more] VLD2021-21 ICD2021-31 DC2021-27 RECONF2021-29
pp.25-30
EMM, EA, ASJ-H 2021-11-15
09:00
Online Online [Poster Presentation] A Study on Convergency of DNN Watermarking without Embedding Loss Function
Takuro Tanaka, Tatsuya Yasui, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.) EA2021-35 EMM2021-62
Intellectual Property Rights protection related to Deep Neural Networks is an important issue due to the high cost of tr... [more] EA2021-35 EMM2021-62
pp.49-54
RISING
(3rd)
2021-11-16
11:30
Tokyo
(Primary: On-site, Secondary: Online)
Throughput Prediction by Radio Environment Correlation Recognition Using Crowd Sensing and Federated Learning
Satoshi Nakaniida, Takeo Fujii (UEC)
We propose an approach using federated learning for predicting Wi-Fi and LTE transmission control protocol (TCP) through... [more]
SR 2021-11-05
11:15
Online Online Throughput Prediction by Radio Environment Correlation Recognition Using Crowd Sensing and Federated Learning
Satoshi Nakaniida, Takeo Fujii (UEC) SR2021-53
We propose an approach using federated learning for predicting Wi-Fi and LTE transmission control protocol (TCP) through... [more] SR2021-53
pp.72-78
SP, WIT, IPSJ-SLP, ASJ-H [detail] 2021-10-19
15:10
Online Online A study on model training for DNN-HSMM-based speech synthesis using a large-scale speech corpus
Nobuyuki Nishizawa, Gen Hattori (KDDI Research) SP2021-34 WIT2021-27
In this study, an investigation into model training for DNN-HSMM-based speech synthesis using a large speech corpus coll... [more] SP2021-34 WIT2021-27
pp.52-57
SIS, ITE-BCT 2021-10-07
15:05
Online Online A Method for Generating Pseudo-Captured Images to Evaluate the Performance of Data Embedding Techniques to Printed Images Using Mobile Devices
Masahiro Yasuda, Mitsuji Muneyasu, Soh Yoshida (Kansai Univ.) SIS2021-15
A data-embedding technique to printed images has been proposed. In this technique, the embedded data is retrieved from t... [more] SIS2021-15
pp.29-34
PRMU, IPSJ-CVIM 2020-05-14
13:30
Online Online Human Action Recognition with Two-stream 3D BagNet
Junya Uchida, Yu Wang, Jien Kato (Ritsumeikan Univ.) PRMU2020-3
We propose the Two-stream 3D BagNet for the human action recognition task. The proposed architecture is inspired by the ... [more] PRMU2020-3
pp.13-17
PRMU, IPSJ-CVIM 2020-03-17
16:00
Kyoto
(Cancelled but technical report was issued)
Acceleration of Deep Learning Inference by Model Cascading
Shohei Enomoto, Takeharu Eda (NTT) PRMU2019-98
In recent years, various applications have appeared due to the development of deep learning and the spread of IoT device... [more] PRMU2019-98
pp.203-208
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-06
10:10
Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)
A Comparison Study of Neural Sign Language Translation Methods with Spatio-Temporal Features
Kodai Watanabe, Wataru Kameyama (Waseda Univ.) IMQ2019-68 IE2019-150 MVE2019-89
In Neural Sign Language Translation, a model based on 2DCNN (2 Dimensional Convolutional Neural Network) called AlexNet ... [more] IMQ2019-68 IE2019-150 MVE2019-89
pp.273-278
SIS 2020-03-05
15:30
Saitama Saitama Hall
(Cancelled but technical report was issued)
Deep Neural Networks for Object Detection and Classification on Domestic Service Robots
Yutaro Ishida, Hakaru Tamukoh (Kyutech) SIS2019-45
We propose a semi-automatic data set generation method, and a system integration method of robot operating system (ROS) ... [more] SIS2019-45
pp.45-50
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] Automatic estimation of prosodic control made in English utterances using DNN-based acoustic models trained with prosodic features and labels
Yang Shen, Shintarou Ando, Nobuaki Minematsu, Daisuke Saito (UTokyo), Satoshi Kobashikawa (NTT) EA2019-136 SIP2019-138 SP2019-85
This paper investigate how to utilize DNN acoustic models trained with prosodic features and labels to detect prosodic e... [more] EA2019-136 SIP2019-138 SP2019-85
pp.201-206
ICSS, IPSJ-SPT 2020-03-03
11:40
Okinawa Okinawa-Ken-Seinen-Kaikan
(Cancelled but technical report was issued)
Adversarial Attacks against Electrocardiograms
Taiga Ono (Waseda Univ.), Takeshi Sugawara (UEC), Tatsuya Mori (Waseda Univ.) ICSS2019-90
Recent advancements in clinical services powered by deep learning have been met with the threat of Adversarial Examples.... [more] ICSS2019-90
pp.131-136
CQ, CBE
(Joint)
2020-01-17
14:00
Tokyo NHK Science & Technology Research Laboratories A study sound source separation method for recorded multiple sounds
Satoru Jomae, Kenko Ota, Hideaki Yoshino (NIT) CQ2019-131
It is useful to separate multiple sounds into single sounds in order to improve the accuracy of fundamental frequency an... [more] CQ2019-131
pp.137-140
EA 2019-12-12
15:00
Fukuoka Kyushu Inst. Tech. Fundamental Study on Sound Source exploration method inside structure using DNN and CAE
Shunsuke Kita (ORIST), Yoshinobu Kajikawa (Kansai Univ.) EA2019-71
Currently, it has become possible to estimate the position of the sound source concerning the direct sound by the sound ... [more] EA2019-71
pp.37-44
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2019-12-06
16:00
Tokyo NHK Science & Technology Research Labs. A comparison of neural vocoders in singing voice synthesis
Sota Wada, Yukiya Hono, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) SP2019-42
In this study, we compare five types of vocoders based on neural networks (neural vocoders) for singing voice synthesis.... [more] SP2019-42
pp.85-90
 Results 1 - 20 of 68  /  [Next]  
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
Copyright and reproduction : All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan