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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
VLD, HWS, ICD 2024-03-01
09:20
Okinawa (Okinawa, Online)
(Primary: On-site, Secondary: Online)

Kei Nakao, Yukihide Kohira, Hiroshi Saito, Yoichi Tomioka (Univ. of Aizu) VLD2023-120 HWS2023-80 ICD2023-109
(To be available after the conference date) [more] VLD2023-120 HWS2023-80 ICD2023-109
pp.107-112
VLD, HWS, ICD 2024-03-01
10:10
Okinawa (Okinawa, Online)
(Primary: On-site, Secondary: Online)
Fault Detectable Convolutional Neural Network Circuits With Dual Modular Redundancy Based on Mixed-precision Quantization
Yamato Saikawa, Yuta Owada, Yoichi Tomioka, Hiroshi Saito, Yukihide Kohira (UoA) VLD2023-122 HWS2023-82 ICD2023-111
In safety-critical edge AI systems, circuit failures caused by aging or cosmic ray can lead to serious accidents. Dual M... [more] VLD2023-122 HWS2023-82 ICD2023-111
pp.119-124
PRMU 2020-09-02
15:30
Online Online (Online) Evaluation and Analysis of JPEG Compression Effects on CNN-based Camera Model Classification
Mai Uchida, Yoichi Tomioka (UoA) PRMU2020-13
In order to prevent crimes such as illegal uploading and secret photography, a method to identify the camera that captur... [more] PRMU2020-13
pp.35-40
HWS, VLD [detail] 2020-03-06
16:00
Okinawa Okinawa Ken Seinen Kaikan (Okinawa)
(Cancelled but technical report was issued)
A Study on Acceleration of Convolution using Bit-serial Dot Product Units with Zero-bit Skipping
Sora Isobe, Yoichi Tomioka (UoA) VLD2019-134 HWS2019-107
 [more] VLD2019-134 HWS2019-107
pp.233-238
PRMU 2019-12-19
14:00
Oita (Oita) Efficient Object Detection for Railway Crossing Combining Image Classification and Object Detection
Kaisei Shimura, Yoichi Tomioka, Qiangfu Zhao (UoA) PRMU2019-52
In this research, we aim to develop a system to support drivers to prevent accidents when driving an mobility scooter. A... [more] PRMU2019-52
pp.35-39
PRMU 2019-12-20
10:45
Oita (Oita) An Efficient Block-wise Object Detection Method using Consecutive Frames for High Resolution Video
Kazuki Hozumi, Yoichi Tomioka (UoA) PRMU2019-57
In recent years, in the fields such as surveillance cameras and in-vehicle camera systems, efficient deep-learning-based... [more] PRMU2019-57
pp.69-74
ISEC, SITE, ICSS, EMM, HWS, BioX, IPSJ-CSEC, IPSJ-SPT [detail] 2019-07-23
09:55
Kochi Kochi University of Technology (Kochi) Evaluation of Similarity Calculation Methods for Image Clustering based on PRNU Noise
Mai Uchida, Yoichi Tomioka (UoA) ISEC2019-17 SITE2019-11 BioX2019-9 HWS2019-12 ICSS2019-15 EMM2019-20
In order to prevent crimes such as illegal uploading and secret photography, attractive attention has been paid to a met... [more] ISEC2019-17 SITE2019-11 BioX2019-9 HWS2019-12 ICSS2019-15 EMM2019-20
pp.75-79
HWS, VLD 2019-03-01
13:05
Okinawa Okinawa Ken Seinen Kaikan (Okinawa) A Study on Quantized HOG Calculation suitable for Hardware Implementation
Yusuke Sekiguchi, Yoichi Tomioka, Junji Kitamichi (UoA.) VLD2018-127 HWS2018-90
 [more] VLD2018-127 HWS2018-90
pp.205-210
VLD, HWS
(Joint)
2018-03-01
09:25
Okinawa Okinawa Seinen Kaikan (Okinawa) Efficient Generation of Lithography Hotspot Detector based on Transfer Learning
Shuhei Suzuki, Yoichi Tomioka (UoA) VLD2017-106
As semiconductor features shrink in size, the fidelity of the layout pattern transferred onto the wafer decreases. A layo... [more] VLD2017-106
pp.103-108
VLD 2016-03-02
10:55
Okinawa Okinawa Seinen Kaikan (Okinawa) Lithography Hotspot Detection Using Histogram of Oriented Light Propagation
Yoichi Tomioka (UoA), Tetsuaki Matsunawa (Toshiba) VLD2015-136
In recent semiconductor manufacturing process, it is essential to detect and to remove lithography hotspots, which induc... [more] VLD2015-136
pp.143-148
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