APSIPA 2021
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Technical Program
Session SS-MSF-1
Paper SS-MSF-1.1
SS-MSF-1.1
A Comprehensive Study of Face Recognition Using Deep Learning
Koichi Ito, Hiroya Kawai, Takafumi Aoki, Tohoku University, Japan
Session:
The Future of Biometrics beyond Recognition and Security
Track:
Multimedia Security and Forensics (MSF)
Session Time:
Wed, 15 Dec, 14:40 - 16:40 Japan Standard Time (UTC +9)
Wed, 15 Dec, 05:40 - 07:40 Coordinated Universal Time
Wed, 15 Dec, 00:40 - 02:40 Eastern Standard Time (UTC -5)
Tue, 14 Dec, 21:40 - 23:40 Pacific Standard Time (UTC -8)
Session Co-Chairs:
Tetsushi Ohki, Shizuoka University and Koichi Ito, Tohoku University
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Session SS-MSF-1
WE2.LS-B.1: A Comprehensive Study of Face Recognition Using Deep Learning
Koichi Ito, Hiroya Kawai, Takafumi Aoki, Tohoku University, Japan
WE2.LS-B.2: Continuous biometric authentication for smartphones considering usage environments
Yuka Watanabe, Yasushi Yamazaki, The University of Kitakyushu, Japan
WE2.LS-B.3: EXAMINING OF SHALLOW AUTOENCODER ON BLACK-BOX ATTACK AGAINST FACE RECOGNITION
Ngoc Khoi Nguyen Vo, Takamichi Terada, Masakatsu Nishigaki, Tetsushi Ohki, Shizuoka University, Japan
WE2.LS-B.4: Comparative Study of Feature Extraction Method for Emotional Classification by Micro-expressions
Koki Kato, Hironobu Takano, Toyama Prefectural University, Japan; Masahiro Saiko, Masahiro Kubo, NEC Biometrics Laboratory, Japan; Hitoshi Imaoka, NEC, Japan