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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SCE | 2023-10-31 10:00 |
Miyagi | RIEC, Tohoku Univ. (Primary: On-site, Secondary: Online) |
Design of a Modularized Circuits Library for Binary Convolutional Neural Network Accelerator using Single Flux Quantum Circuits Zeyu Han, Zongyuan Li, Yuki Yamanashi, Nobuyuki Yoshikawa (Yokohama National Univ.)  SCE2023-17 |
To implement a binary neural network (BNN) based on SFQ circuits, we designed a modularized circuits library based on th... [more] | SCE2023-17 pp.26-31 |
| SCE | 2023-08-08 11:25 |
Kanagawa | Yokohama National Univ. (Primary: On-site, Secondary: Online) |
Low-Cost Sorting Network Circuits Based on Temporal Logic Using Single Flux Quantum Circuits Zeyu Han, Zongyuan Li, Yamanashi Yuki, Yoshikawa Nobuyuki (YNU) SCE2023-5 |
Sorting is important in various applications such as image processing and switching systems. Hardware cost and power con... [more] | SCE2023-5 pp.22-27 |
| MI | 2022-07-08 14:40 |
Hokkaido | (Primary: On-site, Secondary: Online) |
[Short Paper]
Automatic Cell Tracking in 4D Arabidopsis Root Microscopic Images Using Genetic Algorithm Yu Song, Yutaro Iwamoto (Ritsumeikan Univ.), Tatsuaki Goh (NAIST), Yohei Kondo (ExCELLS), Keiji Nakajima (NAIST), Yen-wei Chen (Ritsumeikan Univ.) MI2022-34 |
Single-particle tracking (SPT) is a crucial progress to discover unknown principles of plants. Through accurate tracking... [more] | MI2022-34 pp.10-15 |
| VLD, HWS [detail] | 2022-03-07 13:15 |
Online | Online | [Memorial Lecture]
An Accuracy Reconfigurable Vector Accelerator based on Approximate Logarithmic Multipliers Lingxiao Hou, Yutaka Masuda, Tohru Ishihara (Nagoya Univ.) VLD2021-83 HWS2021-60 |
The logarithmic approximate multiplier proposed by Mitchell provides an efficient alternative to accurate multipliers in... [more] | VLD2021-83 HWS2021-60 p.43 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 16:30 |
Online | Online | 3D Light Source Direction Estimation Using Known Objects for Augmented Reality Yusuke Mukai, Hiroki Takahashi (UEC) |
In AR (Augmented Reality) technology, it is important to keep consistency between a real environment and a virtual envir... [more] | |
| PRMU | 2021-12-16 10:30 |
Online | Online | Utilization of Synthetic Data for Mud Stain Removal from Single Image Shusaku Asada, Yoshihito Kokubo (Aisin Corp.), Masaru Koide (MACNICA, Inc.), Kohei Yamamoto (Corpy&Co., Inc.), Yoshihisa Suetsugu (Aisin Corp.) PRMU2021-24 |
Mud stains on the lens can cause serious damage to the various image recognition systems. Compared to raindrops, mud sta... [more] | PRMU2021-24 pp.1-6 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2021-02-18 16:40 |
Online | Online | Image Reconstruction Technique using Object's Motion for Single Photon Imaging Kiyotaka Iwabuchi, Yusuke Kameda, Takayuki Hamamoto (TUS) ITS2020-33 IE2020-47 |
The single-photon imaging that enables high-quality imaging even in a low incident light level environment, records inci... [more] | ITS2020-33 IE2020-47 pp.37-42 |
| MBE, NC (Joint) |
2020-12-18 14:50 |
Online | Online | Super resolution for sea surface temperature with CNN and GAN Tomoki Izumi, Motoki Amagasaki, Kei Ishida, Masato Kiyama (Kumamoto Univ.) NC2020-28 |
In this paper, we use the deep neural networks (DNN)-based single image super-resolution (SISR) method for the super res... [more] | NC2020-28 pp.1-6 |
| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-04 15:40 |
Okayama | Preliminary investigation on decomposition of individual muscles and bones of lower extremity from single radiograph using CycleGAN Naoki Nakanishi, Yuta Hiasa, Yoshito Otake (NAIST), Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) PRMU2019-16 MI2019-35 |
Extraction of musculoskeletal structures of lower extremity from medical images is useful for quantitatively understandi... [more] | PRMU2019-16 MI2019-35 pp.25-30 |
|
| SIS, IPSJ-AVM, ITE-3DMT [detail] | 2019-06-13 13:55 |
Nagasaki | Fukue Culture Center | Accuracy Improvement of Depth Estimation from a Single Still Image Using Feature Pyramid Network Yudai Fukuda, Takuro Oki, Ryusuke Miyamoto (Meiji Univ.) SIS2019-5 |
Depth estimation from a single shot image have become accurate drastically after emergence of deep neural networks that... [more] |
SIS2019-5 pp.23-28 |
| SIS, IPSJ-AVM, ITE-3DMT [detail] | 2019-06-13 14:25 |
Nagasaki | Fukue Culture Center | Single Image Super-Resolution for being flexible to downsampling kernel by using self-examplers Shogo Seta, Takuro Yamaguchi, Masaaki Ikehara (Keio Univ) SIS2019-6 |
We propose a fast single super resolution which is comparable image quality with conventional methods without being bas... [more] | SIS2019-6 pp.29-34 |
| PRMU, BioX | 2019-03-18 15:00 |
Tokyo | Reali-time Object Detection based on SSD Yuya Yamashige, Masaki Aono (TUT) BioX2018-60 PRMU2018-164 |
In recent years, attention has been paid to developing object detection methods from images, based on deep learning. In ... [more] | BioX2018-60 PRMU2018-164 pp.181-186 |
|
| EID, ITE-IDY, IEIJ-SSL, SID-JC, IEE-EDD [detail] | 2019-01-25 10:25 |
Kagoshima | Kagoshima University | Improvement in Device Performance of Transflective LCDs with Wave-Guide Structure Yoshiki Aizawa, Yasufumi Iimura (TUAT) EID2018-14 |
In principle, transflective liquid crystal displays (TR-LCDs) have high visibility irrespective of the usage environment... [more] | EID2018-14 pp.97-100 |
| SCE | 2019-01-23 13:05 |
Tokyo | [Invited Talk]
Development of the single-flux-quantum signal processors for advancement of performance of the superconducting single photon detection systems Shigeyuki Miyajima, Masahiro Yabuno (NICT), Shigehito Miki (NICT/Kobe Univ.), Hirotaka Terai (NICT) SCE2018-29 |
We developed the advanced superconducting nanowire single photon detector (SSPD) systems with the single-flux-quantum (S... [more] | SCE2018-29 pp.23-28 |
|
| CS, IE, IPSJ-AVM, ITE-BCT [detail] | 2018-11-30 14:00 |
Tokushima | Tokushima University (Memorial Hall of Almuni(Engineering)) | IMAGE SUPER-RESOLUTION IN LOW-LIGHT SCENE USING RGB/NIR SENSOR Takayuki Honda (TUS), Daisuke Sugimura (TC), Takayuki Hamamoto (TUS) CS2018-83 IE2018-62 |
We propose a method for multi-frame super-resolution (SR) of low-resolution (LR) color images taken in low-light scenes.... [more] | CS2018-83 IE2018-62 pp.101-104 |
| OFT | 2018-10-11 16:00 |
Miyagi | Touhoku Univ. | [Poster Presentation]
All-fiber lensless imaging by using wavelength-dependent random mode pattern Tatsuya Kubota, Takashi Katagiri, Yuji Matsuura (Tohoku Univ.) OFT2018-35 |
Single fiber imaging method using tunable laser and double clad fiber is proposed. A double clad fiber with a short mul... [more] |
OFT2018-35 pp.105-108 |
| SCE | 2018-10-10 15:50 |
Miyagi | A real-time photon imager by a 64-pixel superconducting nanowire single photon detectors array Shigeyuki Miyajima, Masahiro Yabuno (NICT), Shigehito Miki (NICT/Kobe Univ.), Hirotaka Terai (NICT) SCE2018-20 |
We demonstrate a real-time photon imager composed of an array of superconducting nanowire single photon detectors (SSPDs... [more] | SCE2018-20 pp.19-24 |
|
| ET | 2018-06-16 13:35 |
Aichi | Nanzan University | Anomaly Detection for Pointing out Mistaken Folding in Origami Hiroshi Shimanuki, Toyohide Watanabe (NISRI), Koichi Asakura, Hideki Sato (Daido Univ.) ET2018-13 |
We have developed a system that detects the location of origami paper from single camera images and supports foldings in... [more] | ET2018-13 pp.7-11 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2018-06-13 15:50 |
Okinawa | Okinawa Institute of Science and Technology | 3D Super Resolution Microscopy using Convolutional Neural Network Masaru Tanaka (Waseda Univ.), Hideitsu Hino (ISM), Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose (The Univ. of Tokyo), Noboru Murata (Waseda Univ.) IBISML2018-11 |
Super-resolution microscopy is a microscopy technique with a resolution beyond the diffraction limit of light. Despite t... [more] | IBISML2018-11 pp.75-80 |
| CQ, MVE, IE, IMQ (Joint) [detail] |
2018-03-08 15:55 |
Okinawa | Okinawa Industry Support Center | Hierarchical Single Person Re-identification based on Group Detection and Re-identification Shingo Inami, Daisuke Sugimura, Takayuki Hamamoto (Tokyo Univ. of Science) IMQ2017-44 IE2017-136 MVE2017-86 |
In this paper, we propose a method for hierarchical single person re-identification based on group re-identification. W... [more] |
IMQ2017-44 IE2017-136 MVE2017-86 pp.107-110 |
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