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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| BioX | 2023-10-12 13:30 |
Okinawa | Nobumoto Ohama Memorial Hall | [Invited Talk]
Toward AI systems with Safety and Security Shizuo Sakamoto (NEC) |
(To be available after the conference date) [more] | |
| BioX | 2023-10-12 14:45 |
Okinawa | Nobumoto Ohama Memorial Hall | A study on a federated learning system for high accuracy biometric authentication Yusei Suzuki, Yosuke Kaga (Hitachi) |
(To be available after the conference date) [more] | |
| BioX | 2023-10-12 15:45 |
Okinawa | Nobumoto Ohama Memorial Hall | A Study on Personal Identification System Based on Features Extracted from Joint Movement of Everyday Actions Michiya Ishimoto, Bo Wu, Kiminori Sato (TUT) |
(To be available after the conference date) [more] | |
| ET | 2023-03-15 10:05 |
Tokushima | Tokushima University (Primary: On-site, Secondary: Online) |
About the Comparison of Biometric Information during Learning of Visual- and Text-based Programming Language Katsuyuki Umeawa (Shonan Inst. of Tech.), Makoto Nakazawa (Junior College of Aizu), Shigeichi Hirasawa (Waseda Univ.)  ET2022-82 |
Beginners in learning programming learn visual-based programming languages such as Scratch, while experts use text-based... [more] | ET2022-82 pp.142-147 |
| ICSS, IPSJ-SPT | 2023-03-13 13:10 |
Okinawa | Okinawaken Seinenkaikan (Primary: On-site, Secondary: Online) |
sEMG-based Gesture Authentication for Smartwatch Akihisa Watanabe, Ryo Iijima, Tatsuya Mori (Waseda Univ.,) ICSS2022-50 |
We propose a gesture-based user recognition system using sEMG signals for smartwatches. We designed the system to reali... [more] |
ICSS2022-50 pp.13-18 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-03 09:10 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Unknown Object Segmentation by View Independent Scene Change Detection Li Jiaxin (Nagoya Univ.), Yasutomo Kawanishi (RIKEN), Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) PRMU2022-99 IBISML2022-106 |
Exploring the indoor environment and finding unknown objects that appeared in a scene is important for scene understandi... [more] | PRMU2022-99 IBISML2022-106 pp.211-216 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-03 16:40 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
PRMU2022-113 IBISML2022-120 |
(To be available after the conference date) [more] | PRMU2022-113 IBISML2022-120 pp.287-292 |
| CNR, BioX | 2023-03-01 13:30 |
Oita | (Primary: On-site, Secondary: Online) |
Person Authentication based on Palm Images Using CNN Kai Ebato, Kouya Tochikubo, Mitsuhiko Meguro (Nihon Univ.) BioX2022-67 CNR2022-33 |
While conventional biometric authentication extracts geometric features from images, this paper proposes a personal auth... [more] | BioX2022-67 CNR2022-33 pp.30-35 |
| SANE | 2023-01-20 10:25 |
Tokyo | (Primary: On-site, Secondary: Online) |
* Yasuhiro Okaniwa, Fang Shang, Naoto Kishi (UEC) SANE2022-91 |
Observation of buildings by polarimetric SAR is one of the research topics that have attracted much attention because of... [more] | SANE2022-91 pp.18-21 |
| SANE | 2022-12-16 14:15 |
Nagasaki | Nagasaki Public Hall (Primary: On-site, Secondary: Online) |
Land Cover Classification for Polarimetric SAR Images Based on Vision Transformer Hongmiao Wang, Danwei Lu (Tsinghua Univ.), Junjun Yin (USTB), Jian Yang (Tsinghua Univ.) SANE2022-83 |
Deep learning methods have been widely studied for polarimetric synthetic aperture radar (PolSAR) land cover classificat... [more] | SANE2022-83 pp.100-104 |
| EA, EMM, ASJ-H | 2022-11-21 10:00 |
Online | Online | [Poster Presentation]
Personal authentication method using thermal and visible light images of periocular regions Takumi Nakamura (UEC), Hiroshi yoshiura (KTU), Masatsugu Ichino (UEC) EA2022-50 EMM2022-50 |
In recent years, as it has become more common for people to go out wearing masks, there are more and more situations in ... [more] | EA2022-50 EMM2022-50 pp.52-57 |
| HIP | 2022-10-18 10:50 |
Kyoto | Kyoto Terrsa (Primary: On-site, Secondary: Online) |
Examination of facial attractiveness features using geometric morphological analysis of and deep learning methods. Takanori Sano, Hideaki Kawabata (Keio Univ.) HIP2022-52 |
In psychology, various studies have been conducted on the features that constitute facial attractiveness. In recent year... [more] | HIP2022-52 pp.26-31 |
| EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] | 2022-07-20 10:15 |
Online | Online | Person Verification Using Evoked EEG by Ultrasound
-- Examination of Correlation in Fusing Features -- Yuta Ishikawa, Kotaro Mukai, Isao Nakanishi (Tottori Univ.) ISEC2022-18 SITE2022-22 BioX2022-43 HWS2022-18 ICSS2022-26 EMM2022-26 |
Person verification using evoked EEG by ultrasound has been studied. From brain waves simultaneously measured at many e... [more] |
ISEC2022-18 SITE2022-22 BioX2022-43 HWS2022-18 ICSS2022-26 EMM2022-26 pp.59-63 |
| EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] | 2022-07-20 10:40 |
Online | Online | Person Verification Using EEG Evoked by Ultrasound
-- Introduction of mutual features between electrodes -- Kotaro Mukai, Isao Nakanishi (Tottori Univ.) ISEC2022-19 SITE2022-23 BioX2022-44 HWS2022-19 ICSS2022-27 EMM2022-27 |
In user management, to realize continuous authentication of users, we have studied to use an electroencephalogram (EEG) ... [more] | ISEC2022-19 SITE2022-23 BioX2022-44 HWS2022-19 ICSS2022-27 EMM2022-27 pp.64-69 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2022-06-18 13:00 |
Online | Online | Anomalous sound detection using multi-class classifier and reconstructor of its intermediate layer output Keita Matsumoto, Takeshi Yamada (Univ. of Tsukuba), Shoji Makino (Waseda Univ./Univ. of Tsukuba) SP2022-18 |
In recent years, there has been a growing demand for techniques to detect unknown anomalous sounds by unsupervised learn... [more] | SP2022-18 pp.77-81 |
| IBISML | 2022-03-08 13:05 |
Online | Online | [Invited Talk]
--- Takashi Matsubara (Osaka Univ.) IBISML2021-34 |
Deep learning is being considered as the most promising approach to building an artificial intelligence (AI) system; it ... [more] | IBISML2021-34 p.27 |
| MBE, NC (Joint) |
2022-03-04 09:30 |
Online | Online | Classification and discriminability of heart rate variability indices in monkeys and humans using machine learning Itaru Kaneko, Daisuke Hirahara (Tohoku Univ.), Junichiro Hayano (Nagoya City Univ.), Emi Yuda (Tohoku Univ.) MBE2021-100 |
In the field of biometrics, the use of physical characteristics to identify individuals has become a familiar technology... [more] | MBE2021-100 p.55 |
| MI | 2022-01-27 13:54 |
Online | Online | [Short Paper]
Case-based Similar Image Retrieval for Pathological Images of Malignant Lymphoma Using Deep Metric Learning Noriaki Hashimoto (RIKEN), Yusuke Takagi, Hiroki Masuda (NITech), Hiroaki Miyoshi, Kei Kohno, Miharu Nagaishi, Kensaku Sato, Koichi Ohshima (Kurume Univ.), Hidekata Hontani (NITech), Ichiro Takeuchi (NITech/RIKEN) MI2021-78 |
We propose a novel method of case-based similar image retrieval for histopathological images of malignant lymphoma. We e... [more] | MI2021-78 pp.144-145 |
| PRMU | 2021-12-16 11:00 |
Online | Online | Low-Resolution Iris Recognition with Image Super-Resolution for arbitrary magnification Tsubasa Bora (UEC), Takahiro Toizumi, Yuho Shoji, Yuka Ogino, Masato Tsukada (NEC), Masatsugu Ichino (UEC) PRMU2021-26 |
A low-resolution iris image reduces iris recognition accuracy. Some conventional researches tackle low-resolution iris r... [more] | PRMU2021-26 pp.13-18 |
| CCS | 2021-11-19 14:30 |
Osaka | Osaka Univ. (Primary: On-site, Secondary: Online) |
A Study of Deep Learning for Abnormal Waveforms in ECG Image Data Using Expert Diagnosis as a Teacher Kentaro Hashimoto, Yuichiro Yamamura (Univ of Tsukuba.), Ryota Iwatsuka (Taiyo-kai Social Welfare awachiiki iryo center), Hiroyasu Ando (Tohoku Univ./Univ of Tsukuba.) CCS2021-33 |
Artificial intelligence is expected to play a variety of roles in the medical fields. Diagnosis based on ECG readings is... [more] | CCS2021-33 pp.89-93 |
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