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 - 11 of 11  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] 2020-01-22
16:55
Kanagawa Raiosha, Hiyoshi Campus, Keio University A Comparison of Filter for Convolutional Neural Network towards Hardware Implementation
Kosuke Akimoto, Youki Sada, Shimpei Sato, Hiroki Hakahara (Tokyo Tech) VLD2019-64 CPSY2019-62 RECONF2019-54
Convolutional neural networks have high recognition accuracy in computer vision task, and many of the learned filters ar... [more] VLD2019-64 CPSY2019-62 RECONF2019-54
pp.61-66
IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] 2020-01-22
17:20
Kanagawa Raiosha, Hiyoshi Campus, Keio University Many Universal Convolution Cores for Ensemble Sparse Convolutional Neural Networks
Ryosuke Kuramochi, Youki Sada, Masayuki Shimoda, Shimpei Sato, Hiroki Nakahara (Titech) VLD2019-65 CPSY2019-63 RECONF2019-55
A convolutional neural network (CNN) is one of the most successful neural networks and widely used for computer vision t... [more] VLD2019-65 CPSY2019-63 RECONF2019-55
pp.67-72
IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] 2020-01-22
17:45
Kanagawa Raiosha, Hiyoshi Campus, Keio University An FPGA Implementation of Monocular Depth Estimation
Youki Sada, Masayuki Shimoda, Shimpei Sato, Hiroki Nakahara (titech) VLD2019-66 CPSY2019-64 RECONF2019-56
Among a lot of image recognition applications, Convolutional Neural Network (CNN) has gained high accuracy and increasin... [more] VLD2019-66 CPSY2019-64 RECONF2019-56
pp.73-78
RECONF 2019-09-20
11:40
Fukuoka KITAKYUSHU Convention Center Accurate Pedestrian Detection in Thermal Images for FPGA
Ryosuke Kuramochi, Masayuki Shimoda, Youki Sada, Shimpei Sato, Hiroki Nakahara (titech) RECONF2019-26
Since thermal cameras can detect the heat of objects, they can be used even if there is no light.
Therefore, object de... [more]
RECONF2019-26
pp.31-36
RECONF 2019-05-10
10:00
Tokyo Tokyo Tech Front An FPGA Implementation of the Semantic Segmentation Model with Multi-path Structure
Youki Sada, Masayuki Shimoda, Shimpei Sato, Hiroki Nakahara (titech) RECONF2019-10
Since the convolutional neural network has a high-performance recognition accuracy,
it is expected to implement variou... [more]
RECONF2019-10
pp.49-54
HWS, VLD 2019-02-27
10:25
Okinawa Okinawa Ken Seinen Kaikan FPGA Implementation of Fully Convolutional Network for Semantic Segmentation
Masayuki Shimoda, Youki Sada, Hiroki Nakahara (titech) VLD2018-93 HWS2018-56
 [more] VLD2018-93 HWS2018-56
pp.1-6
IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] 2019-01-30
13:55
Kanagawa Raiosha, Hiyoshi Campus, Keio University Filter-wise Pruning Approach to FPGA Implementation of Fully Convolutional Network for Semantic Segmentation
Masayuki Shimoda, Youki Sada, Hiroki Nakahara (titech) VLD2018-76 CPSY2018-86 RECONF2018-50
 [more] VLD2018-76 CPSY2018-86 RECONF2018-50
pp.25-30
VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC
(Joint) [detail]
2018-12-05
10:20
Hiroshima Satellite Campus Hiroshima An FPGA implementation of Tri-state YOLOv2 using Intel OpenCL
Youki Sada, Masayuki Shimoda, Shimpei Sato, Hiroki Nakahara (titech) RECONF2018-35
Since the convolutional neural network has a high-performance recognition accuracy,
it is expected to implement variou... [more]
RECONF2018-35
pp.7-12
EMM 2018-03-05
15:45
Kagoshima Naze Community Center (Amami-Shi, Kagoshima) [Poster Presentation] Improvement of Emergency Broadcasting System Based on Audio Data Hiding
Youki Sada, Tetsuya Kojima (NIT, Tokyo College) EMM2017-88
The authors have proposed a disaster prevention broadcasting system based on audio data hiding scheme. In this system, m... [more] EMM2017-88
pp.55-60
EMM 2016-03-02
15:40
Kagoshima Yakushima Environ. and Cultural Vill. Center [Poster Presentation] On Embedding and Extracting Schemes for Video Data Hiding Applied to Active Learning Materials
Toru Tachikawa, Yui Ichioka, Yuki Sada, Tetsuya Kojima (NIT, Tokyo College) EMM2015-87
Flipped classrooms have recently attracted many attentions as one of the model cases of active learning. In flipped clas... [more] EMM2015-87
pp.63-68
EMM 2016-01-18
14:00
Miyagi Katahira Campus, Tohoku University An Online Education System Based on Information Hiding Techniques
Yuki Sada, Yui Ichioka, Toru Tachikawa, Tetsuya Kojima (NIT, Tokyo College) EMM2015-63
Online courses have been quite popular these days. Students can watch and read the learning materials regardless of time... [more] EMM2015-63
pp.13-18
 Results 1 - 11 of 11  /   
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