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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 14 of 14  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
ICSS, IPSJ-SPT 2020-03-03
10:10
Okinawa Okinawa-Ken-Seinen-Kaikan
(Cancelled but technical report was issued)
ICSS2019-100 (To be available after the conference date) [more] ICSS2019-100
pp.283-288
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
IMQ, IE, MVE, CQ
(Joint) [detail]
2019-03-15
14:50
Kagoshima Kagoshima University IPv6/IPv4 flow control for UDP packet of IoT using OpenFlow
Yuki Asada, Tetsuro Fujii (Tokyo City Univ.) CQ2018-115
Recently, the number of installed IoT is greatly increasing and it may reach up to 40 billion in 2020. IoT uses the Inte... [more] CQ2018-115
pp.123-128
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
CQ 2018-06-01
10:30
Chiba Chiba Univ. Nishi-Chiba Campus, academic link center A Study on the Packet Loss Characteristics for High Quality Video Transmission over Wireless LAN
Noriko Hiranuma, Yuki Asada, Tetsuro Fujii (Tokyo City Univ.) CQ2018-23
All digital media is now transmitted over IP based network and the demand for wireless is rapidly increasing. The new co... [more] CQ2018-23
pp.31-36
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 - 14 of 14  /   
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