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All Technical Committee Conferences (All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IN, CCS (Joint) |
2022-08-04 10:20 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
Consideration of the structure of CNN models with high image classification performanc Mizuki Dai, Kenya Jinno (Tokyo City University)  CCS2022-27 |
In recent years, Transformer-based models such as ViT have shown remarkable performance in image recognition using Deep ... [more] | CCS2022-27 pp.6-9 |
| AP, SANE, SAT (Joint) |
2022-07-27 09:25 |
Hokkaido | Asahikawa Taisetsu Crystal Hall (Primary: On-site, Secondary: Online) |
[Invited Lecture]
A Study of Rain Attenuation Prediction Method by Deep Learning Yuji Komatsuya, Tetsuro Imai (TDU), Miyuki Hirose (Kyutech) AP2022-34 |
Recently, the frequency used in wireless systems has got higher significantly, such as B5G, HAPS, etc., and the importan... [more] | AP2022-34 pp.1-5 |
| CS | 2022-07-15 14:20 |
Kagoshima | Yakushima Environmental and Cultural Village Center (Primary: On-site, Secondary: Online) |
[Invited Talk]
Application of state-space models to CNN estimation methods for indoor location estimation Kaishin Hori, Satoru Aikawa, Sinichiro Yamamoto (Univ. of Hyogo) CS2022-36 |
Currently, GNSS is the most accurate outdoor location estimation technique. On the other hand, the accuracy of GNSS loca... [more] | CS2022-36 pp.100-103 |
| AI | 2022-07-04 15:20 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Face image generation with audio information using deep learning Kotaro Koseki, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2022-12 |
(To be available after the conference date) [more] | AI2022-12 pp.60-65 |
| SIS, IPSJ-AVM | 2022-06-09 13:20 |
Fukuoka | KIT(Wakamatsu Campus) (Primary: On-site, Secondary: Online) |
Quantification of the danger of arbitrary walking scenes based on outdoor walking collision simulation within a 3DCG map space Yukihiro Matsunaga (Kyutech), Masato Matsuoka (Kyushu Univ.), Hiromu Tanaka, Hideaki Kawano (Kyutech) SIS2022-2 |
One of the problems that visually impaired people face when they go out is an accident caused by collision with an obsta... [more] | SIS2022-2 pp.7-11 |
| RECONF | 2022-06-07 16:45 |
Ibaraki | CCS, Univ. of Tsukuba (Primary: On-site, Secondary: Online) |
Preliminary Evaluation of FPGA-to-FPGA Communication Speed in FPGA Cluster ESSPER Rintaro Sakai, Yasuhiro Nakahara (Kumamoto Univ. /R-CSS), Kentaro Sano (R-CCS), Masahiro Iida (Kumamoto Univ. /R-CSS) RECONF2022-11 |
This study evaluates the communication speed between FPGAs assuming the FPGA cluster ESSPER is a scalable and flexible ... [more] |
RECONF2022-11 pp.48-49 |
| RECONF | 2022-06-08 15:50 |
Ibaraki | CCS, Univ. of Tsukuba (Primary: On-site, Secondary: Online) |
Structural Sparsification of Activations and Weights for Low Latency Implementation of CNN Akira Jinguji, Naoto Soga, Hiroki Nakahara (Tokyo Tech) RECONF2022-22 |
(To be available after the conference date) [more] | RECONF2022-22 pp.95-100 |
| SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] | 2022-05-19 10:00 |
Kumamoto | Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
ECG waveform reconstruction method using FMCW radar sensing and transformer model Ren Anzai, Daiki Toda, Koichi Ichige (Yokohama National Univ.) SIP2022-4 BioX2022-4 IE2022-4 MI2022-4 |
In this paper, we propose a waveform reconstruction method for ECG (ElectroCardioGram) signals using a transformer, a ki... [more] | SIP2022-4 BioX2022-4 IE2022-4 MI2022-4 pp.19-24 |
| SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] | 2022-05-19 14:50 |
Kumamoto | Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
Low-dose CT Denoising Using Deep CNN Yuta Sadamatsu (KIT), Seiichi Murakami (JGU), Tohru Kamiya (KIT), Li Guangxu (TPU) SIP2022-12 BioX2022-12 IE2022-12 MI2022-12 |
(To be available after the conference date) [more] | SIP2022-12 BioX2022-12 IE2022-12 MI2022-12 pp.67-70 |
| MSS, NLP | 2022-03-28 13:25 |
Online | Online | A Study on Convolutional LSTM Based Weather Forecasting Method Using Colored Cloud Images Haruki Takehana, Astuo Ozaki (OIT) MSS2021-62 NLP2021-133 |
In recent years, there has been an increase in flood damage caused by localized heavy rainfall, and research on forecast... [more] | MSS2021-62 NLP2021-133 pp.37-42 |
| PRMU, IPSJ-CVIM | 2022-03-10 10:40 |
Online | Online | Medical Image Captioning with Information based on Medical Concepts Riku Tsuneda, Tetsuya Asakawa (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) PRMU2021-64 |
Image Captioning for medical images is expected to augment the judgment of doctors and serve as a second opinion. Medica... [more] | PRMU2021-64 pp.25-30 |
| PRMU, IPSJ-CVIM | 2022-03-10 17:00 |
Online | Online | Landslide detection by UAV-based Multi-temporal Visual Analysis Yosuke Yamaguchi, Kai Matsui, Jun Ohya (Waseda Univ.), Katsuya Hasegawa (JAXA), Hiroshi Nagahashi (Tokyo Institute of Technology) PRMU2021-71 |
(To be available after the conference date) [more] | PRMU2021-71 pp.66-71 |
| CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] | 2022-03-10 10:10 |
Online | Online | * Hiroki Kawaguchi, Itsuki Fujita, Yoshikazu Nagamura (Tokyo Metropolitan Univ.), Masayuki Arai (Nihon Univ.), Satoshi Fukumoto (Tokyo Metropolitan Univ.) CPSY2021-55 DC2021-89 |
(To be available after the conference date) [more] | CPSY2021-55 DC2021-89 pp.61-66 |
| PRMU, IPSJ-CVIM | 2022-03-11 16:10 |
Online | Online | Spatial attention and parallel convolution for Real-time segmentation Yuki Sugimoto, Masaki Aono (TUT) PRMU2021-86 |
Semantic segmentation is an image recognition technique that classifies all objects and backgrounds by pixel in images. ... [more] | PRMU2021-86 pp.163-168 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-09 11:20 |
Online | Online (Zoom) | Extraction of lung regions from chest CT images using deep learning Xinshan He, Takaharu Yamazaki (SIT) IMQ2021-11 IE2021-73 MVE2021-40 |
Accurate extraction of lung regions from chest X-ray images is an essential process for detecting lesions in lung fields... [more] | IMQ2021-11 IE2021-73 MVE2021-40 pp.7-12 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-10 10:55 |
Online | Online (Zoom) | Estimation of human preferences during image observation using heart rate and brain functions Koki Buyo, Kazuki Maeda, Yuukou Horita (Univ. of Toyama) IMQ2021-39 IE2021-101 MVE2021-68 |
In order to estimate subjective evaluation values from digital contents such as still images and video, the degree of co... [more] | IMQ2021-39 IE2021-101 MVE2021-68 pp.155-158 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-10 11:20 |
Online | Online (Zoom) | Automatic flood estimation using aerial images by CNN Soichiro Yanagihara, Tomoki Honma, Yuukou Horita (Univ.of Toyama) IMQ2021-40 IE2021-102 MVE2021-69 |
When a wide-area disaster occurs, from the viewpoint of initial response, it is becoming more important to quickly grasp... [more] | IMQ2021-40 IE2021-102 MVE2021-69 pp.159-162 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-11 18:20 |
Online | Online (Zoom) | Impression Estimation Model for Suit Styles Using CNN Features Kimiaki Shinkai (Kwansei Gakuin Univ.), Iori Tani (Kobe Univ.), Kensuke Tobitani (Univ. of Nagasaki), Miyuki Toga, Noriko Nagata (Kwansei Gakuin Univ.) IMQ2021-69 IE2021-131 MVE2021-98 |
In this study, propose a method for estimating the impressions evoked by the style (texture and shape) of a suit for the... [more] | IMQ2021-69 IE2021-131 MVE2021-98 pp.312-317 |
| LOIS | 2022-03-03 13:00 |
Online | Online | Building a Grape Grain Detection Model for Table Grape Thinning Chisato Matsumoto, Ko Fujimura (Otsuma Women's Univ.) LOIS2021-40 |
This paper addresses the issue of counting grape berries from camera images to support the process of thinning grapes. I... [more] | LOIS2021-40 pp.1-6 |
| CNR, BioX | 2022-03-03 14:00 |
Online | Online | A Study on Ear Personal Authentication System Using Spectrogram Sora Masuda (Kansai Univ.), Shunsuke Kita (ORIST), Yoshinobu Kajikawa (Kansai Univ.) BioX2021-48 CNR2021-29 |
In recent years, biometric authentication, such as fingerprint and face recognition, has become widespread in smartphone... [more] | BioX2021-48 CNR2021-29 pp.13-16 |
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