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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
HIP |
2023-12-21 14:45 |
Miyagi |
Research Institute of Electrical Communication |
Statistical Causal Discovery for Facial Impression Factors Using Morphological and Image Features Takanori Sano, Hideaki Kawabata (Keio Univ.) HIP2023-81 |
Many studies have been conducted on the factors that form facial impressions. However, the details of the relationship b... [more] |
HIP2023-81 pp.28-30 |
HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka |
Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Facial Image Data Augmentation using Variational Auto-Encoder with Geometric Features Takanori Sano, Hideaki Kawabata (Keio Univ.) |
Numerous studies have been conducted in the field of psychology on the factors that influence facial impressions. In rec... [more] |
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HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa |
Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Computational Modeling with Geometric Morphometrics and Deep Neural Networks
-- An approach Methodology for Identifying Facial Impression Factors -- Takanori Sano, Hideaki Kawabata (Keio Univ.) |
Numerous studies have been conducted in psychology on the factors that influence facial impressions. In recent years, st... [more] |
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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 |
AI |
2022-09-15 15:45 |
Shizuoka |
(Primary: On-site, Secondary: Online) |
Comparison of results for different datasets of facial attractiveness features extracted using gradient-weighted class activation mapping Takanori Sano (Keio Univ.) AI2022-24 |
In recent years, research using deep learning to analyze faces to identify the features that make up facial attractivene... [more] |
AI2022-24 pp.37-41 |
ET |
2020-09-10 10:50 |
Ishikawa |
Japan Advanced Institute of Science and Technology |
Realtime sharing of multiple study notes on a learning website
-- Implementation of a learning website: SHIKAKUNO IROHA -- Takanori Sano, Yoshiaki Takai, Katsuyoshi Iida (hokudai) ET2020-13 |
In this paper , to encourage and facilitate individual web learning activity by well sharing his/her own learning experi... [more] |
ET2020-13 pp.19-22 |
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