Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
RCC, ISEC, IT, WBS |
2024-03-13 10:05 |
Osaka |
Osaka Univ. (Suita Campus) |
A Study of Feature Point Extraction Methods Suitable for Non-Referenced Local Watermarking in Still Images Kota Sasaki, Siyi Shang, Masazumi Kurihara, Kazuhiko Yamaguchi (UEC) IT2023-77 ISEC2023-76 WBS2023-65 RCC2023-59 |
The watermarking based on detection without original data is advantageous in practical use because it does not require a... [more] |
IT2023-77 ISEC2023-76 WBS2023-65 RCC2023-59 pp.12-19 |
NC, MBE (Joint) |
2024-03-12 10:50 |
Tokyo |
The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Influence of ocular oscillation during PLR responses for a symptom of dementia Minoru Nakayama (Tokyo Tech.), Wioletta Nowak, Anna Zarowska (Wroclaw Univ. S&T) MBE2023-77 |
A Symptom detection procedure for dementia is discussed using features of waveforms in pupil light reflex (PLR). PLR fea... [more] |
MBE2023-77 pp.46-51 |
WIT |
2023-06-16 16:15 |
Okinawa |
Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Proposing a Feature-Analysis Method of Finger-Movement Data for Predicting Cognitive Function of Elderly People Hayato Seiichi, Sinan Chen, Atsuko Hayashi, Masahide Nakamura (Kobe Univ.) WIT2023-6 |
In recent years, a growing body of research has suggested a relationship between cognitive function and manual dexterity... [more] |
WIT2023-6 pp.30-35 |
SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS |
2023-05-19 10:20 |
Okinawa |
Okinawa Institute of Science and Technology (OIST) (Primary: On-site, Secondary: Online) |
Evaluation of Multi-edge Object Detection System using Deep Feature Compression Transmission Kohji Yamada, Yuichiro Kora, Meguru Yamazaki, Xuying Lei (Fujitsu) SeMI2023-13 |
Collaborative Intelligence has been proposed to divide DNN model and perform inferences collaborating on edge and cloud.... [more] |
SeMI2023-13 pp.53-57 |
EMM |
2023-03-03 09:10 |
Nagasaki |
Fukue culture hall (Primary: On-site, Secondary: Online) |
Study on Analysis of Amplitude and Frequency Perturbation in the Voice for Fake Audio Detection Kai Li, Yao Wang, Minh Le Nguyen, Masato Akagi, Masashi Unoki (JAIST) EMM2022-88 |
Fake audio detection (FAD) aims to detect fake speech generated by advanced voice conversion and text-to-speech technolo... [more] |
EMM2022-88 pp.110-115 |
SP, IPSJ-SLP, EA, SIP [detail] |
2023-03-01 14:40 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Anomalous sound detection based on differential features of multi channel acoustic signals considering spatial and temporal variations Shota Nishiyama, Akira Tamamori (AIT) |
Anomalous sound detection plays an essential role in machine condition management in factory automation. The task of ano... [more] |
|
MSS, SS |
2023-01-11 10:00 |
Osaka |
(Primary: On-site, Secondary: Online) |
Prohibited Items Detection in X-ray Security Inspection by Using a Deep Learning Method Qingqi Zhang (Yamaguchi Univ.), Ren Wu (Yamaguchi Junior College), Mitsuru Nakata, Qi-Wei Ge (Yamaguchi Univ.) MSS2022-52 SS2022-37 |
Security screening machines using X-ray scanners are usually used to find out whether there are prohibited items in pack... [more] |
MSS2022-52 SS2022-37 pp.42-47 |
RISING (3rd) |
2022-10-31 13:00 |
Kyoto |
Kyoto Terrsa (Day 1), and Online (Day 2, 3) |
[Poster Presentation]
Feature Extraction Method From Device Command Outputs Toward Automation of Fault Diagnosis Keitaro Kaida, Tatsuaki Kimura (Osaka Univ.), Hiroshi Yamauchi (SBKK), Tetsuya Takine (Osaka Univ.) |
The diversification and rapid spread of communication services have made networks operated by telecom companies extremel... [more] |
|
NS |
2022-10-05 10:45 |
Hokkaido |
Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
A Feature Extraction Method From Command Outputs of Network Devices Keitaro Kaida, Tatsuaki Kimura (Osaka Univ.), Hiroshi Yamauchi (SBKK), Tetsuya Takine (Osaka Univ.) NS2022-76 |
With the diversification and rapid growth of communication services, monitoring and management of networks have become i... [more] |
NS2022-76 p.1 |
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] |
2022-05-19 14:30 |
Kumamoto |
Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
Detection of Mutation of Driver Gene from Thoracic CT Images Based on Machine Learning Shion Watanabe, Tohru Kamiya (KIT), Takashi Terasawa, Takatoshi Aoki (UOEH) SIP2022-11 BioX2022-11 IE2022-11 MI2022-11 |
(To be available after the conference date) [more] |
SIP2022-11 BioX2022-11 IE2022-11 MI2022-11 pp.61-66 |
PRMU, IPSJ-CVIM |
2022-05-13 10:00 |
Aichi |
Toyota Technological Institute |
Robust Small Objects Detection Using YOLO-v4 with Attention and Layer Yuedong Li (Chuo Univ) PRMU2022-1 |
Abstract: It is a difficult problem how to make traditional neural network algorithm show good adaptability to the typic... [more] |
PRMU2022-1 pp.1-5 |
MBE, NC (Joint) |
2022-03-03 09:55 |
Online |
Online |
Observation for symptom of dementia based on features of Pupil light reflex and participant's age Minoru Nakayama (Tokyo Tech.), Wioletta Nowak, Anna Zarowska (Wroclaw Univ. S&T) MBE2021-93 |
Pupil light reflex (PLR) were observed for elder subjects in order to examine an influence of stage of dimentia which wa... [more] |
MBE2021-93 pp.25-30 |
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] |
2022-02-22 14:40 |
Online |
Online |
Detection of Physiological Disorders in European Pear Using HSV Color Features Noritaka Kubota, Tatsuya Yamazaki (Niigata Univ.) ITS2021-62 IE2021-71 |
For the "Le Lectier" (pear), appearance quality is important to determine its grade, and grading based on shipping stand... [more] |
ITS2021-62 IE2021-71 pp.219-224 |
EMM |
2022-01-27 13:25 |
Online |
Online |
Access Control Using Feature Map Transformation With Secret Key for Object Detection Models Teru Nagamori, Hiroki Ito, MaungMaung AprilPyone, Hitoshi Kiya (Tokyo Metro. Univ.) EMM2021-85 |
In this paper, we propose an access control method for object detection models.
The use of transformed images or transf... [more] |
EMM2021-85 pp.7-12 |
MI |
2022-01-27 16:39 |
Online |
Online |
[Short Paper]
Multiple Organ Detection from CT Images Based on Deep Learning
-- Fusion of 2D-CNN and Transformer -- Daiki Kanoh, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-89 |
The automatic recognition of multiple organs in 3D CT images and detecting organ positions are required for computer-aid... [more] |
MI2021-89 pp.190-193 |
SANE |
2021-08-27 11:05 |
Online |
Online |
Satellite Data Fusion for damage assessment and analysis of the significant features Gunjan Joshi, Ryo Natsuaki, Akira Hirose (UT) SANE2021-29 |
Lately, the resolution and detection capabilities of remote sensing satellites specifically, synthetic aperture radars (... [more] |
SANE2021-29 pp.37-42 |
SANE |
2021-06-25 13:30 |
Online |
Online |
A study of feature detector robust to illumination changes Takayuki Ishida, Seisuke Fukuda (JAXA) SANE2021-9 |
In the field of deep space landing, autonomous position estimation using images is becoming a practical method. On the o... [more] |
SANE2021-9 pp.1-5 |
IA, ICSS |
2021-06-22 09:00 |
Online |
Online |
Feature analysis of phishing website and phishing detection based on machine learning algorithms Yi Wei, Yuji Sekiya (Todai) IA2021-9 ICSS2021-9 |
Phishing is a kind of cybercrime that uses disguised websites to trick people into providing personally sensitive inform... [more] |
IA2021-9 ICSS2021-9 pp.44-49 |
SP, IPSJ-SLP, IPSJ-MUS |
2021-06-18 15:00 |
Online |
Online |
[Poster Presentation]
Scream detection based on deep learning using time-sequential spectral and cepstral features Takahiro Fukumori (Ritsumeikan Univ.) SP2021-6 |
Discrimination between normal speech and scream is crucial in audio surveillance and monitoring. Although deep neural ne... [more] |
SP2021-6 pp.31-36 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2021-02-18 14:50 |
Online |
Online |
A Note on Estimation of Deteriorated Regions Based on Anomaly Detection from Rubber Material Electron Microscope Images
-- Verification of Feature Representations Extracted from Deep Learning Models -- Masanao Matsumoto, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ) |
This paper presents an anomaly detection method for estimation of deteriorated regions from rubber material electron mic... [more] |
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