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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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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 |
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