Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ICD |
2024-04-11 14:55 |
Kanagawa |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
A818-4094TOPS/W Capacitor-Reconfigured CIM Macro for Unified Acceleration of CNNs and Transformers Kentaro Yoshioka (Keio) ICD2024-8 |
In the field of machine learning, various neural network architectures such as CNNs, Transformers, and hybrid structures... [more] |
ICD2024-8 pp.24-26 |
CAS, CS |
2024-03-14 13:55 |
Okinawa |
|
Study on Comparison of Effective CSI Feature Extraction and Deep Learning-Based Indoor Positioning Methods Seiha Homma, Hayato Matsushita, Yuta Ida (Yamaguchi Univ.), Yasuaki Ohira (Kagoshima Univ.), Sho kuroda (FX Systems), Takahiro Matsumoto (Kagoshima Univ.) CAS2023-119 CS2023-112 |
In recent years, the indoor positioning solution markets has been expanding, and there is a growing demand for indoor po... [more] |
CAS2023-119 CS2023-112 pp.47-52 |
AP |
2024-03-15 10:25 |
Fukui |
UNIVERSITY OF FUKUI (Primary: On-site, Secondary: Online) |
A Study on Path loss characteristics estimation methods considering geographical conditions for designing narrowband DR-IoT communication system Takato Ikegame, Naoki Ikeda, Motonari Imai, Tetsushi Ikegami (Meiji Univ.), Mineo Takai (Osaka Univ.), Susumu Ishihara (Shizuoka Univ.), Arata Kato, Shugo Kajita (STE) AP2023-212 |
A versatile variable-range IoT communication system using the VHF-High band, Diversified-Range IoT (DR-IoT) is being con... [more] |
AP2023-212 pp.63-67 |
CAS, CS |
2024-03-15 10:40 |
Okinawa |
|
A consideration of training data for a sport climbing difficulty estimation system using CNN Yoto Omotani, Nao Ito (NIT,Toyama) CAS2023-128 CS2023-121 |
In this paper, in order to improve the estimation accuracy of problem difficulty in sport climbing by machine learning, ... [more] |
CAS2023-128 CS2023-121 pp.95-98 |
RCC, ISEC, IT, WBS |
2024-03-13 09:40 |
Osaka |
Osaka Univ. (Suita Campus) |
An improvement method and security evaluation for the method of protecting ownership using digital watermark Dung Ta Anh, Hidema Tanaka (NDA) IT2023-76 ISEC2023-75 WBS2023-64 RCC2023-58 |
Since developing high-performance AI models requires significant time and cost, it is common to customize publicly avail... [more] |
IT2023-76 ISEC2023-75 WBS2023-64 RCC2023-58 pp.5-11 |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-13 10:40 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Drum transcription based on periodicity between bars Masaki Suga, Tetsuya Matsumoto (Nagoyoa Univ.), Yoshinori Takeuchi (Daido Univ.), Hiroaki Kudo (Nagoyoa Univ.) IMQ2023-27 IE2023-82 MVE2023-56 |
Automatic musical score estimation from acoustic signals has been studied for a long time. In this study, acoustic signa... [more] |
IMQ2023-27 IE2023-82 MVE2023-56 pp.81-86 |
NLP, MSS |
2024-03-13 16:05 |
Misc. |
Kikai-Shinko-Kaikan Bldg. |
Effectiveness and Validation of Feature Scaling in Image Classification Tasks Using CNN Hiroki Tamegai, Kenya Jinno (TCU) MSS2023-81 NLP2023-133 |
In image classification tasks, features are extracted using neural networks and learning is performed by calculating the... [more] |
MSS2023-81 NLP2023-133 pp.54-57 |
NLP, MSS |
2024-03-14 10:50 |
Misc. |
Kikai-Shinko-Kaikan Bldg. |
Fake Image Detection Focused on Local Regions Takumi Owada, Kenya Jinno (Tokyo City Univ.) MSS2023-88 NLP2023-140 |
We Propose a novel method for detection of images generated by Diffusion Models. We also investigate the attention of ou... [more] |
MSS2023-88 NLP2023-140 pp.83-86 |
NLP, MSS |
2024-03-14 15:15 |
Misc. |
Kikai-Shinko-Kaikan Bldg. |
Zero-shot class separation degree of the feature extractor Chisato Takahashi, Kenya Jin'no (Tokyo City Univ.) MSS2023-95 NLP2023-147 |
Network Architecture Search (NAS) is a method to automatically search for the optimal structure of a neural network. Sin... [more] |
MSS2023-95 NLP2023-147 pp.115-118 |
IA, SITE, IPSJ-IOT [detail] |
2024-03-13 14:05 |
Okinawa |
Miyakojima City Future Creation Center (Primary: On-site, Secondary: Online) |
Perceptual Hashing Based on CNN Node Responses Yusei Sugawara, Kaito Hosono, Tetsuya Morizumi, Hirotsugu Kinoshita (Kanagawa Univ.) SITE2023-101 IA2023-107 |
As technology advances, unauthorized duplication of images has become a serious issue related to copyright infringement.... [more] |
SITE2023-101 IA2023-107 pp.203-210 |
SS |
2024-03-09 09:30 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Investigating indicators of distortion in CNN models using statistical metamorphic testing Tsuchiya Takumi, Okano Kozo, Ogata Shinpei (Shinshu Univ), Nakajima Shin (NII) SS2023-77 |
In quality evalution of machine learning systems, it is important to determine whether the learning parameter (weight) v... [more] |
SS2023-77 pp.168-173 |
PRMU, IBISML, IPSJ-CVIM |
2024-03-03 09:12 |
Hiroshima |
Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Investigation of the Feature Space of Sign Language Gesture for Acquiring Unknown Sign Language Words Taiki Yamada, Inoue Katsufumi (Osaka Metropolitan Univ.), Partha Prathim Roy (IIT), Masakazu Iwamura, Michifumi Yoshioka (Osaka Metropolitan Univ.) PRMU2023-52 |
(To be available after the conference date) [more] |
PRMU2023-52 pp.7-12 |
PRMU, IBISML, IPSJ-CVIM |
2024-03-03 09:36 |
Hiroshima |
Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
[Short Paper]
Fine-Grained Pedestrian Attribute Recognition with External Data Ruka Murai (Ritsumeikan Univ.), Yu Wang (Hitotsubashi Univ.), Jiaqing Liu, Jien Kato (Ritsumeikan Univ.) PRMU2023-56 |
In traffic accidents, pedestrians constitute the largest proportion of fatalities. To reduce pedestrian fatalities in th... [more] |
PRMU2023-56 pp.31-34 |
PRMU, IBISML, IPSJ-CVIM |
2024-03-03 09:24 |
Hiroshima |
Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Cardiac Detection in Non-Contrast CT and Application to Calcium Scoring Tetsuya Asakawa, Hiroki Shinoda (TUT), Takuya Togawa, Kazuki Shimizu (THC), Masaki Aono (TUT) PRMU2023-59 |
Coronary artery disease, one of the major causes of death in Japan, is said to be related to coronary artery calcifica- ... [more] |
PRMU2023-59 pp.47-52 |
PRMU, IBISML, IPSJ-CVIM |
2024-03-03 16:30 |
Hiroshima |
Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Assessment of the Utility of Tumor Location Information in MR Image Classification Tsukasa Nishinakagawa, Yoshinari Takeishi, Jun'ichi Takeuchi (Kyushu Univ.) IBISML2023-43 |
MRI, or magnetic resonance imaging, is a medical imaging technique widely used in various healthcare settings. It utiliz... [more] |
IBISML2023-43 pp.21-28 |
CNR, BioX |
2024-02-29 14:00 |
Tokyo |
NHK Science & Technology Research Laboratories (Primary: On-site, Secondary: Online) |
Personal Authentication by both Palm and Back of the Hand Images without Geometric Features using CNN Kai Ebato, Kouya Tochikubo (Nihon Univ.) BioX2023-71 CNR2023-38 |
In recent years, there has been an increasing demand for personal authentication using biological information such as fi... [more] |
BioX2023-71 CNR2023-38 pp.7-12 |
HIP, ITE-HI, VRPSY, ASJ-H [detail] |
2024-02-23 16:00 |
Okinawa |
|
A Piano-Fingering Recognition Method for Overlapped Fingers based on Machine Learning of Sequential Hand Images Takuto Yagawa, Ryo Miyoshi, Shuichi Akizuki, Manabu Hashimoto (Chukyo Univ.) HIP2023-111 |
The purpose of this study is to propose a piano-fingering recognition method for educating beginners and analyzing exper... [more] |
HIP2023-111 pp.90-94 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-19 10:30 |
Hokkaido |
Hokkaido Univ. |
A Proposal of an Automatic Power Line Removal Method on Images Using Semantic Segmentation and U-Net Trained by the Semantics Touma Saito, Kazunori Uruma (Kogakuin Univ.) ITS2023-46 IE2023-35 |
In recent years, image processing technology and hardware performance have improved, making it possible to easily proces... [more] |
ITS2023-46 IE2023-35 pp.1-6 |
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 |
NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-24 14:00 |
Tokushima |
Naruto University of Education |
Exploration of Soft Palate Image Based Diagnostic System for High-Risk Individuals of Esophageal Cancer Keishi Okubo, Masato Kiyama, Motoki Amagasaki, Kotaro Waki, Katsuya Nagaoka, Yasuhito Tanaka (Kumamoto Univ.) NC2023-41 |
Previous studies have shown that certain findings of the soft palate are associated with the risk of esophageal squamous... [more] |
NC2023-41 pp.17-22 |