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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM | 2023-05-19 09:05 |
Aichi | (Primary: On-site, Secondary: Online) |
A Study of Depth Map Optimization Using NeRF for Multi-View Stereo Shintaro Ito, Kanta Miura, Koichi Ito, Takafumi Aoki (Tohoku Univ.) |
[more] | |
| MICT, MI | 2022-11-18 15:15 |
Aichi | Nagoya Institute of Technology | Accuracy Improvement of Ultrasound Probe Pose Estimation by Image Reconstruction Loss Kanta Miura, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Jun Ohmiya (Konica Minolta)  MICT2022-41 MI2022-70 |
[more] | MICT2022-41 MI2022-70 pp.37-42 |
| BioX | 2022-10-03 13:30 |
Okinawa | Performance Improvement of CNN-Based Fingerprint Recognition Using Multiple Attention Mechanism Nagisa Sasuga, Koichi Ito, Takafumi Aoki (Tohoku Univ.) BioX2022-55 |
Fingerprint recognition methods that extract multiple features from a fingerprint image using a Convolutional Neural Net... [more] | BioX2022-55 pp.1-6 |
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| BioX | 2022-10-03 14:00 |
Okinawa | Face Spoofing Attack Detection Using Vision Transformer and Its Performance Improvement by Patch-wise Data Augmentation Kota Watanabe, Koichi Ito, Takafumi Aoki (Tohoku Univ.) BioX2022-56 |
[more] | BioX2022-56 pp.7-12 |
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| BioX | 2022-10-03 14:30 |
Okinawa | A Study of Region-Based Iris Recognition Using Convolutional Neural Network Shokei Kawakami, Hiroya Kawai, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Yoshiko Yasumura, Masakazu Fujio, Yosuke Kaga, Kenta Takahashi (Hitachi) BioX2022-57 |
The iris, the ring-shaped area between the pupil and the sclera of the eye, has a unique pattern that can be used to ide... [more] | BioX2022-57 pp.13-18 |
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| PRMU | 2022-09-14 10:30 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Performance Evaluation of Data Augmentation Using Face Parsing for Improving Face Recognition Hiroya Kawai, Koichi Ito (Tohoku Univ.), Hwann-Tzong Chen (NHTU), Takafumi Aoki (Tohoku Univ.) PRMU2022-12 |
Face recognition is one of the most promising methods to recognize individuals. Since the recognition accuracy is degrad... [more] | PRMU2022-12 pp.13-18 |
| PRMU | 2022-09-14 10:45 |
Kanagawa | (Primary: On-site, Secondary: Online) |
PRMU2022-13 |
In this paper, we propose an image correspondence method using machine learning and improve the accuracy of camera param... [more] | PRMU2022-13 pp.19-24 |
| MI, MICT [detail] | 2021-11-05 09:40 |
Online | Online | MICT2021-29 MI2021-27 |
(To be available after the conference date) [more] | MICT2021-29 MI2021-27 pp.13-14 |
| MI, MICT [detail] | 2021-11-05 10:25 |
Online | Online | Performance Improvement of Alzheimer's Disease Identification Using Cognitive Function Test Scores Daiki Endo, Koichi Ito, Takafumi Aoki (Tohoku Univ.) MICT2021-31 MI2021-29 |
As the population ages, the prevalence of Alzheimer’s disease (AD) is expected to increase. AD causes progressive brain ... [more] | MICT2021-31 MI2021-29 pp.17-21 |
| MI | 2021-08-27 14:10 |
Online | Online | A Study of a Pose Estimation Method of Ultrasound Probe Using RNN Kanta Miura, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Jun Ohmiya, Satoshi Kondo (KONICA MINOLTA) MI2021-22 |
In this paper, we propose an ultrasound (US) probe pose estimation method using deep learning for 3D US image reconstruc... [more] | MI2021-22 pp.2-7 |
| PRMU | 2021-08-26 15:45 |
Online | Online | An Analysis of Deep Face Recognition Using Face Parsing Hiroya Kawai, Takashi Kozu, Koichi Ito (Tohoku Univ.), Hwann-Tzong Chen (NTHU), Takafumi Aoki (Tohoku Univ.) PRMU2021-13 |
Face recognition is widely used in mobile devices and security gates due to its convenience. In recent years, face recog... [more] | PRMU2021-13 pp.36-41 |
| MI | 2020-09-03 14:55 |
Online | Online | Performance Improvement of Alzheimer's Disease Classification Using Convolutional Neural Network Daiki Endo, Koichi Ito, Takafumi Aoki (Tohoku Univ.) MI2020-31 |
Alzheimer's disease (AD) is a progressive brain disease that causes a different pattern of brain atrophy from normal agi... [more] | MI2020-31 pp.63-67 |
| MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] | 2020-05-28 14:00 |
Online | Online | A Study of 3D Ultrasound Volume Reconstruction based on Ultrasound Probe Localization Using Deep Learning Kanta Miura, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Jun Ohmiya, Satoshi Kondo (KONICA MINOLTA) SIP2020-3 BioX2020-3 IE2020-3 MI2020-3 |
This paper presents an ultrasound (US) volume reconstruction method only from US image sequences using deep learning. T... [more] |
SIP2020-3 BioX2020-3 IE2020-3 MI2020-3 pp.9-14 |
| BioX | 2019-10-03 14:20 |
Okinawa | Fundamental Study of Fingerprint Recognition Using Deep Learning Ai Takahashi, Yoshinori Koda, Koichi Ito, Takafumi Aoki (Tohoku Univ.) BioX2019-56 |
Fingerprint recognition is to identigy a person by comparing relative position, angle and quality of minutiae extracted ... [more] | BioX2019-56 pp.11-16 |
|
| ISEC, SITE, ICSS, EMM, HWS, BioX, IPSJ-CSEC, IPSJ-SPT [detail] | 2019-07-23 10:20 |
Kochi | Kochi University of Technology | Development of 2,400ppi fingerprint sensor for capturing neonate fingerprint within 24 hours after Birth Yoshinori Koda, Ai Takahashi, Koichi Ito, Takafumi Aoki (Tohoku Univ.) ISEC2019-18 SITE2019-12 BioX2019-10 HWS2019-13 ICSS2019-16 EMM2019-21 |
United Nations adopted the resolution “Sustainable Development Goals (SDGs),” and one of the action plans is listed at “... [more] | ISEC2019-18 SITE2019-12 BioX2019-10 HWS2019-13 ICSS2019-16 EMM2019-21 pp.81-85 |
| PRMU, BioX | 2019-03-18 16:50 |
Tokyo | [Invited Talk]
Recent Advances in Biometrics and Introduction Koichi Ito, Takafumi Aoki (Tohoku Univ.) BioX2018-67 PRMU2018-171 |
[more] | BioX2018-67 PRMU2018-171 pp.209-212 |
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| MICT, MI | 2018-11-06 18:00 |
Hyogo | University of Hyogo | A Study of an Age Estimation Method From Brain MRI Images Using 3D-CNN and Its Application Masaru Ueda, Koichi Ito (Tohoku Univ.), Kai Wu (South China Univ. of Tech.), Kazunori Sato, Yasuyuki Taki (Tohoku Univ.), Hiroshi Fukuda (Tohoku Medical and Pharmaceutical Univ.), Takafumi Aoki (Tohoku Univ.) MICT2018-57 MI2018-57 |
The statistical analysis of brain MR images indicates that the human brain atrophies during normal aging process. The ag... [more] | MICT2018-57 MI2018-57 pp.79-82 |
| HWS, ICD | 2018-10-29 15:20 |
Osaka | Kobe Univ. Umeda Intelligent Laboratory | A Design and Implementation of Ring-LWE Cryptography Hardware Based on Number Theoretic Transform Sora Endo, Rei Ueno, Takafumi Aoki, Naofumi Homma (Tohoku Univ.) HWS2018-52 ICD2018-44 |
This paper presents an efficient Ring-LWE cryptographic hardware architecture based on number theoretic transformation. ... [more] | HWS2018-52 ICD2018-44 pp.31-34 |
| BioX | 2018-10-11 14:30 |
Okinawa | Nobumoto Ohama Memorial Hall | Consideration of Quality Improvement for Neonate-Fingerprint Images Yoshinori Koda, Koichi Ito, Takafumi Aoki (Tohoku Univ) BioX2018-20 |
United Nations adopted the resolution, SDGs, which aims at solving the eradicating poverty in all its forms and dimensio... [more] | BioX2018-20 pp.7-12 |
| HWS, ISEC, SITE, ICSS, EMM, IPSJ-CSEC, IPSJ-SPT [detail] | 2018-07-26 15:25 |
Hokkaido | Sapporo Convention Center | A Study on Systematic Insertion of Hardware Trojan Based on Path Delay Akira Ito, Rei Ueno, Naofumi Homma, Takafumi Aoki (Tohoku Univ.) ISEC2018-44 SITE2018-36 HWS2018-41 ICSS2018-47 EMM2018-43 |
This paper presents a non-reversible and analytical method for inserting a path delay hardware Trojan (PDHT). The conven... [more] | ISEC2018-44 SITE2018-36 HWS2018-41 ICSS2018-47 EMM2018-43 pp.349-356 |
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