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  (All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 294  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
RECONF 2022-09-08
10:10
Aichi emCAMPUS STUDIO
(Primary: On-site, Secondary: Online)
Proposal and evaluation of Combined Posit MAC unit (CPMAC) for both DNN inference and training
Yuta Masuda, Yasuhiro Nakahara, Masato Kiyama, Masahiro Iida (Kumamoto Univ.)
(To be available after the conference date) [more]
SIP 2022-08-25
14:33
Okinawa Nobumoto Ohama Memorial Hall (Ishigaki Island)
(Primary: On-site, Secondary: Online)
Structured Deep Image Prior with Interscale Thresholding
Jikai Li, Shogo Muramatsu (Niigata Univ.)
(To be available after the conference date) [more]
SAT, RCS
(Joint)
2022-08-26
11:40
Hokkaido
(Primary: On-site, Secondary: Online)
Inter-cell Interference Control by Joint Transmit Power and Transmit Beamforming Control based on Machine Learning
Naoto Tamada, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech)
(To be available after the conference date) [more]
ICD, SDM, ITE-IST [detail] 2022-08-10
16:00
Online   IC with Integrated Imager and Ultra-Low Latency All-Digital In-Imager 2D Binary Convolutional Neural Network Accelerator for Image Classification
Wang Ruizhi, Takamiya Makoto (The Univ. of Tokyo) SDM2022-53 ICD2022-21
In the field of real-time image recognition, the computing latency of convolutional neural network become an issue. In t... [more] SDM2022-53 ICD2022-21
pp.87-92
NS, SR, RCS, SeMI, RCC
(Joint)
2022-07-14
14:30
Ishikawa The Kanazawa Theatre + Online
(Primary: On-site, Secondary: Online)
IRS placement method for improving radio environment spaces shielded by structures
Kazuki Fujii, Katsuya Suto (UEC) SR2022-31
Due to the linearity of radio waves used in Beyond 5G systems, users may suffer from outages even near a base station. T... [more] SR2022-31
pp.54-60
CCS, NLP 2022-06-09
14:15
Osaka
(Primary: On-site, Secondary: Online)
Improvement of Recognition Accuracy by Sequential Execution of Unsupervised Learning and Semi-supervised Learning
Hiroki Murakami, Hidehiro Nakano (Tokyo City Univ.) NLP2022-4 CCS2022-4
In this study, we propose a sequential learning method that improves recognition accuracy by alternately utilizing the k... [more] NLP2022-4 CCS2022-4
pp.17-22
CCS, NLP 2022-06-09
14:55
Osaka
(Primary: On-site, Secondary: Online)
Basic Performance of CNNs Using Dynamic Filters Based on Octave Convolution
Kiyotaka Matono, Hidehiro Nakano (Tokyo City Univ.) NLP2022-5 CCS2022-5
The methods of using dynamic filters for convolutional neural networks (CNNs) have attracted attentions. In recent years... [more] NLP2022-5 CCS2022-5
pp.23-26
RECONF 2022-06-08
15:25
Ibaraki CCS, Univ. of Tsukuba
(Primary: On-site, Secondary: Online)
A Compact High-Speed CNN Implementation based on Redundant Computational Analysis and FPGA Acceleration
Li Qi, Li Hengyi, Meng Lin (Ritsumeikan Univ.) RECONF2022-21
Convolutional Neural Networks (CNNs) have achieved high performance and are widely used in various applications. However... [more] RECONF2022-21
pp.89-94
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] 2022-05-20
16:40
Kumamoto Kumamoto University Kurokami Campus
(Primary: On-site, Secondary: Online)
3D Medical Image Segmentation Using 2.5D Deformable Convolutional CNN
Yuya Okumura, Kudo Hiroyuki, Takizawa Hotaka (Tsukuba Univ.) SIP2022-29 BioX2022-29 IE2022-29 MI2022-29
An effective method to improve the accuracy of 3D medical image segmentation using deep learning is to use deformable co... [more] SIP2022-29 BioX2022-29 IE2022-29 MI2022-29
pp.150-155
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] 2022-05-20
17:00
Kumamoto Kumamoto University Kurokami Campus
(Primary: On-site, Secondary: Online)
Deformable registration of 3D medical images with Deep Residual UNet
Taiga Nakamura, Yuki Sato, Hiroyuki Kudo, Hotaka Takizawa (Univ. of Tsukuba) SIP2022-30 BioX2022-30 IE2022-30 MI2022-30
(To be available after the conference date) [more] SIP2022-30 BioX2022-30 IE2022-30 MI2022-30
pp.156-160
IT, EMM 2022-05-17
15:30
Gifu Gifu University
(Primary: On-site, Secondary: Online)
A study of adversarial example detection using the correlation between adversarial noise and JPEG compression-derived distortion
Kenta Tsunomori, Yuma Yamasaki, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.), Isao Echizen (NII) IT2022-6 EMM2022-6
Adversarial examples cause misclassification of image classifiers. Higashi et al. proposed a method to detect adversari... [more] IT2022-6 EMM2022-6
pp.29-34
ITS, IEE-ITS 2022-03-11
14:40
Online Online Gaze Estimation for a Driving Simulator Using Machine Learning
Takayuki Furukawa, Yuji Matsuki (FIT) ITS2021-70
Several studies have been conducted on gaze estimation in driving simulators due to the widespread attention it has attr... [more] ITS2021-70
pp.38-43
IT, ISEC, RCC, WBS 2022-03-10
11:35
Online Online Improving accuracy by optimizing activation function for convolutional neural network using homomorphic encryption
Kohei Yagyu, Ren Takeuchi, Vo Ngoc Khoi Nguyen, Masakatsu Nishigaki, Tetsushi Ohki (Shizuoka Univ.) IT2021-92 ISEC2021-57 WBS2021-60 RCC2021-67
The development of secure neural network technology that performs prediction while encrypting data using homomorphic enc... [more] IT2021-92 ISEC2021-57 WBS2021-60 RCC2021-67
pp.58-65
CQ, IMQ, MVE, IE
(Joint) [detail]
2022-03-09
10:10
Online Online (Zoom) A study on player and ball tracking in tennis videos.
Kosuke Matsumoto (Kobe univ.), Junki Tamae (iret), Nobutaka Kuroki (Kobe univ.), Kensuke Hirano (iret), Masahiro Numa (Kobe univ.) IMQ2021-16 IE2021-78 MVE2021-45
This paper proposes a player and ball tracking method in tennis videos with image processing techniques. The proposed me... [more] IMQ2021-16 IE2021-78 MVE2021-45
pp.33-38
IBISML 2022-03-09
09:05
Online Online [Invited Talk] ---
Koji Fukagata (Keio Univ.) IBISML2021-39
In recent years, the application of machine learning to various problems of fluid mechanics has been actively studied. I... [more] IBISML2021-39
p.32
CNR, BioX 2022-03-03
14:00
Online Online A Study on Ear Personal Authentication System Using Spectrogram
Sora Masuda (Kansai Univ.), Shunsuke Kita (ORIST), Yoshinobu Kajikawa (Kansai Univ.) BioX2021-48 CNR2021-29
In recent years, biometric authentication, such as fingerprint and face recognition, has become widespread in smartphone... [more] BioX2021-48 CNR2021-29
pp.13-16
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-02
15:35
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] Detection of individual beats from EEG during rhythm imagination
Naoki Yoshimura, Toshihisa Tanaka (TUAT) EA2021-92 SIP2021-119 SP2021-77
Rhythm is one element of music and is composed of several beats. It has been reported that evenly spaced beats and imagi... [more] EA2021-92 SIP2021-119 SP2021-77
pp.177-182
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-22
15:20
Online Online A Note on Perceived Visual Content Estimation Based on Compressed Reconstruction Network Using Brain Signals While Gazing on Images
Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido University)
In this paper, we propose a method to reconstruct a perceived image using brain signals obtained during gazing images. S... [more]
MI 2022-01-26
13:39
Online Online Deep Learning based 2D/3D deformable Image Registration for Abdominal Organs
Ryuto Miura, Megumi Nakao, Mitsuhiro Nakamura, Tetsuya Matsuda (Kyoto Univ.) MI2021-62
2D/3D image registration is a problem that solves the deformation and alignment of a pre-treatment 3D image to a 2D proj... [more] MI2021-62
pp.70-75
NLP, MICT, MBE, NC
(Joint) [detail]
2022-01-23
11:45
Online Online Adversarial Training with Knowledge Distillation considering Intermediate Feature Representation in CNNs
Hikaru Higuchi (The Univ. of Electro-Communications), Satoshi Suzuki (former NTT), Hayaru Shouno (The Univ. of Electro-Communications) NC2021-44
Adversarial examples are one of the vulnerability attacks to the convolution neural network (CNN). The adversarialexampl... [more] NC2021-44
pp.59-64
 Results 1 - 20 of 294  /  [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