Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CPSY, DC, RECONF, IPSJ-ARC [detail] |
2024-08-08 17:50 |
Tokushima |
Awagin Hall (Primary: On-site, Secondary: Online) |
Basic Evaluation of Throughput and Power Efficiency by Offloading Image Recognition Processing to FPGA Eisuke Okazaki, Gai Nagahashi (Tokai Univ.), Yanzhi Li, Midori Sugaya (SIT), Takeshi Ohkawa (Kumamoto Univ.), Mikiko Sato (Tokai Univ.) CPSY2024-26 DC2024-26 RECONF2024-26 |
Multi-access Edge Computing (MEC) is a computing infrastructure that provides low-latency communication with nearby edge... [more] |
CPSY2024-26 DC2024-26 RECONF2024-26 pp.52-57 |
IN, CCS (Joint) |
2024-07-30 10:45 |
Hokkaido |
Moerenuma Park Glass Pyramid |
Visual comparison and examination of how natural language processing models capture color information in latent space Masato Izumi, Kenya jin'no (Tokyo City Univ) CCS2024-36 |
The purpose of this study is to visually compare how different natural language processing (NLP) models with varying arc... [more] |
CCS2024-36 pp.44-47 |
ICTSSL |
2024-07-25 13:50 |
Mie |
(Primary: On-site, Secondary: Online) |
A method for judging danger situations by machine learning using weather information and hue of sediment disaster monitoring images Yuki Okuda, Makoto Kobayashi, Koichi Shin, Masahiro Nishi (Hiroshima City Univ.) ICTSSL2024-14 |
In recent years, many human casualties have occurred due to landslides caused by heavy rains. In order to reduce human c... [more] |
ICTSSL2024-14 pp.13-18 |
EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] |
2024-07-22 16:40 |
Hokkaido |
Sapporo Convention Center |
Defending against adversarial example attacks by a denoising autoencoder and physical random noise Yuki Rogi, Kota Yoshida, Tatsuya Oyama, Takeshi Fujino, Shunsuke Okura (Ritsumeikan Univ.) ISEC2024-38 SITE2024-35 BioX2024-48 HWS2024-38 ICSS2024-42 EMM2024-44 |
With the development of IoT technology, edge AI has attracted widespread attention. However, edge AI shows vulnerability... [more] |
ISEC2024-38 SITE2024-35 BioX2024-48 HWS2024-38 ICSS2024-42 EMM2024-44 pp.194-199 |
RCC, RCS, SeMI, NS, SR, RISING (Joint) |
2024-07-18 09:00 |
Hokkaido |
Hokkaido Citizens Activities Promotion Center (Primary: On-site, Secondary: Online) |
Implementation and Evaluation of Dynamic Rate Control for Real-Time Image Analysis Based on MQTT Stream Processing Sumire Doi, Tohru Kondo (Hiroshima Univ.) NS2024-49 |
In this study, we implement dynamic rate control, which dynamically controls the number of analysis frames depending on ... [more] |
NS2024-49 pp.46-51 |
CS |
2024-07-11 13:18 |
Nagasaki |
Center for Tsushima engagement |
Detecting Displacement of Structures using Image Processing
-- Creep Test of Wooden Doors -- Kodai Kawasaki (NIT), Giron Nicolas (NIKKEN), Toshiya Arakawa, Hideyuki Nasu (NIT) CS2024-13 |
In the field of construction, displacement transducers are used to measure the displacement of structures in order to in... [more] |
CS2024-13 pp.21-22 |
UWT (2nd) |
2024-06-21 14:55 |
Niigata |
新潟大学 駅南キャンパスときめいと (Primary: On-site, Secondary: Online) |
Measurement of underwater fluctuation by the Schlieren method for underwater optical wireless communication Taiga Manabe, Haruto Hirose, Ayana Oku, Yoshihisa Takayama (Tokai Univ.) |
In this paper, we focus on the Schlieren method, which is a method to measure the dimensions of the fluctuation that lig... [more] |
|
RCS |
2024-06-19 10:00 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Study on Machine Learning-based Dangerous Objects Detection in 300GHz Sub-THz Imaging Using Optical Image Training Data Shoma Shibata, Eiji Okamoto (nitech) RCS2024-28 |
Sub-THz waves are expected to be introduced in Beyond 5G/6G, which is currently under research and development. Sub-THz ... [more] |
RCS2024-28 pp.1-6 |
RCS |
2024-06-19 10:10 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Study on Image Quality Enhancement Using Two-Step Adaptive Gamma Correction Method in 300 GHz Sub-THz Imaging Tsubasa Kato, Eiji Okamoto (Nitech) RCS2024-29 |
The 300 GHz wave in the sub-THz band has a wavelength of approximately 1 mm, enabling imaging with a high resolution of ... [more] |
RCS2024-29 pp.7-12 |
NLP, CCS |
2024-06-07 10:20 |
Fukuoka |
West Japan General Exhibition Center AIM |
Investigating the latent variable space of different natural language processing architectures with generative images Masato Izumi, Kenya Jin'no (Tokyo City Univ) NLP2024-31 CCS2024-18 |
In recent years, AI technologies, particularly natural language processing (NLP) models, have evolved rapidly. However, ... [more] |
NLP2024-31 CCS2024-18 pp.74-77 |
IT, EMM |
2024-05-31 09:30 |
Chiba |
Chiba University (Nishi-Chiba Campus) |
A Reversible Image Processing Method Using Data Hiding for OpenEXR Images Anna Yamaguchi, Shoko Imaizumi (Chiba Univ.) IT2024-8 EMM2024-8 |
In this paper, we propose a reversible image processing method for OpenEXR images to achieve either brightness increase/... [more] |
IT2024-8 EMM2024-8 pp.37-42 |
SAT, MICT, WBS, RCC (Joint) [detail] |
2024-05-17 13:35 |
Miyazaki |
KITEN Convention hall (Miyazaki) (Primary: On-site, Secondary: Online) |
Improving Functions and Data Processing Methods of Finger-Dexterity Measuring System for the Elderly Yuki Kashihara, Sinan Chen, Atsuko Hayashi, Masahide Nakamura (Kobe Univ.) SAT2024-11 MICT2024-11 |
With the progression of aging in modern Japanese society, the increase in the number of dementia patients has become a s... [more] |
SAT2024-11 MICT2024-11 pp.54-59 |
SIS |
2024-03-15 10:00 |
Kanagawa |
Kanagawa Institute of Technology (Primary: On-site, Secondary: Online) |
A Proposal of Hue-preserving Unsharp Masking with Variable Saturation Using the Log-ratio Operation Aoi Kamehara, Mashiho Mukaida (Yamaguchi Univ.), Takanori Koga (Kindai Univ.), Noriaki Suetake (Yamaguchi Univ.) SIS2023-55 |
Unsharp masking is a common method of image sharpening. If unsharp masking is applied to each RGB component of a color i... [more] |
SIS2023-55 pp.55-60 |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 11:00 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
[Invited Talk]
Pixels to Precision: Passing into the Future of Super-Resolution Mastery Supatta Viriyavisuthisakul (PIM) IMQ2023-42 IE2023-97 MVE2023-71 |
Single Image Super-Resolution (SISR) involves reconstructing low-resolution images to enhance perceptual quality. Recent... [more] |
IMQ2023-42 IE2023-97 MVE2023-71 p.165 |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 10:10 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Construction and accuracy verification of bus passenger counting system using image processing Yuta Tashiro, Soichirou Yanagihara, Yuukou Horita (Univ. of Toyama) IMQ2023-62 IE2023-117 MVE2023-91 |
In recent years, the decline of transportation infrastructure in rural areas in Japan and the disparity in transportatio... [more] |
IMQ2023-62 IE2023-117 MVE2023-91 pp.270-275 |
IA, SITE, IPSJ-IOT [detail] |
2024-03-13 13:40 |
Okinawa |
Miyakojima City Future Creation Center (Primary: On-site, Secondary: Online) |
A Steganalysis of Image Steganography using Real Image Denoising Shinnosuke Toguchi, Takamichi Miyata (CIT) SITE2023-100 IA2023-106 |
Image steganography is a technique for embedding secret messages in images. SteganoGAN, one of the previous methods, use... [more] |
SITE2023-100 IA2023-106 pp.195-202 |
CNR, BioX |
2024-02-29 15:00 |
Tokyo |
NHK Science & Technology Research Laboratories (Primary: On-site, Secondary: Online) |
Implementation and Evaluation of Privacy-Preserving Image Transformation Methods for Person Re-identification Junpei Yamaguchi, Hajime Nada, Yumo Ouchi, Narishige Abe (Fujitsu) BioX2023-73 CNR2023-40 |
Advances in machine learning have enabled high-accuracy tracking of individuals using surveillance cameras, making the d... [more] |
BioX2023-73 CNR2023-40 pp.18-23 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-19 10:45 |
Hokkaido |
Hokkaido Univ. |
Brightness Adjustment based Countermeasure against Adversarial Examples Takumi Tojo, Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) ITS2023-47 IE2023-36 |
Recently, image classification using deep learning AI has been used for in-vehicle AI, and its accuracy and response spe... [more] |
ITS2023-47 IE2023-36 pp.7-12 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-20 12:45 |
Hokkaido |
Hokkaido Univ. |
3D CG Coded Image Noise Removal and Quality Assessment Based on Optimal Design of Total Variation Regularization Norifumi Kawabata (Kanazawa Gakuin Univ.) ITS2023-67 IE2023-56 |
Sparse coding techniques, which reproduce and represent images with as few combinations as possible from a small amount ... [more] |
ITS2023-67 IE2023-56 pp.112-117 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-20 16:00 |
Hokkaido |
Hokkaido Univ. |
Detection and Degree Estimation of Road Damage by Faster R-CNN using Orthorectified Drive Recorder Images Yuki Ono, Haruki Kawanaka, Koji Oguri (Aichi Prefectural Univ.) ITS2023-74 IE2023-63 |
In recent years, there have been studies on detecting road damage from images, but the detection targets are limited and... [more] |
ITS2023-74 IE2023-63 pp.151-156 |