Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
HCS |
2022-03-12 13:30 |
Online |
Online |
Effects of wearing sanitary masks and sunglasses on the estimation of facial attractiveness Koichi Sugimoto (Tokiwa Univ.), Takashi Yasuda (MSC), Sachiko Takagi (Tokiwa Univ.) HCS2021-74 |
The purpose of this study was to examine how the predicted attractiveness of a face changes when the mouth information o... [more] |
HCS2021-74 pp.80-84 |
PRMU, IPSJ-CVIM |
2022-03-10 09:15 |
Online |
Online |
Unsupervised adaptation of appearance-based gaze estimation models for domains with different label distributions. Takuru Shimoyama, Yusuke Sugano (The Univ. of Tokyo) PRMU2021-61 |
The annotation of gaze estimation is time-consuming, and it is not easy to collect training data under the exact same li... [more] |
PRMU2021-61 pp.7-12 |
CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-11 18:20 |
Online |
Online (Zoom) |
Impression Estimation Model for Suit Styles Using CNN Features Kimiaki Shinkai (Kwansei Gakuin Univ.), Iori Tani (Kobe Univ.), Kensuke Tobitani (Univ. of Nagasaki), Miyuki Toga, Noriko Nagata (Kwansei Gakuin Univ.) IMQ2021-69 IE2021-131 MVE2021-98 |
In this study, propose a method for estimating the impressions evoked by the style (texture and shape) of a suit for the... [more] |
IMQ2021-69 IE2021-131 MVE2021-98 pp.312-317 |
RCS, SR, SRW (Joint) |
2022-03-02 10:50 |
Online |
Online |
Pilot Pattern Design Method using Autoencoder for CDL Channels Yuta Yamada, Tomoaki Ohtsuki (Keio Univ.) RCS2021-253 |
In the pilot-based channel estimations, a large number of pilot signals enable an improvement in the channel estimation ... [more] |
RCS2021-253 pp.13-18 |
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] |
2022-02-21 17:00 |
Online |
Online |
A Note on Interest level Estimation Using Users' Behavior Information
-- Validating the Effectiveness of Feature Integration with Multiple Users -- Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we verify the effectiveness of feature integration with multi-user behavior information for interest leve... [more] |
|
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 |
ET |
2021-09-10 13:15 |
Online |
Online |
Predicting Code Reading Test Answers by Using Eye Movement Features YUE YAN, Minoru Nakayama (Tokyo Tech) ET2021-11 |
Code reading comprehension progress has been shown to distribute in the eye movement data, which makes predict the code ... [more] |
ET2021-11 pp.17-22 |
MI |
2021-03-15 13:45 |
Online |
Online |
Surgical planning model generation by extracting important feature sets in mandibular reconstruction Kazuki Nagai, Megumi Nakao (Kyoto Univ.), Nobuhiro Ueda (Nara Medical Univ.), Yuichiro Imai (Rakuwakai Otowa Hospital), Toshihide Hatanaka, Tadaaki Kirita (Nara Medical Univ.), Tetsuya Matsuda (Kyoto Univ.) MI2020-54 |
Because implicit medical knowledge and experience are used to perform medical treatment, such decisions must be clarifie... [more] |
MI2020-54 pp.29-34 |
MI |
2021-03-15 14:00 |
Online |
Online |
Analysis of important features in surgical planning for mandibular reconstruction among multiple surgeons Yusuke Hatakeyama, Kazuki Nagai, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.) MI2020-55 |
Surgeons perform surgical treatment by considering the facilities and policies of medical institutions and their own exp... [more] |
MI2020-55 pp.35-40 |
IN, NS (Joint) |
2021-03-05 11:00 |
Online |
Online |
A Model Selection Optimization Method for Distributed Machine Learning with Feature Model Combination Ryuichi Mochizuki, Takeshi Tsuchiya, Hiroo Hirose, Tetsuyasu Yamada (SUS) IN2020-83 |
This study clarifies the optimal feature model selection method in data analysis under the environment where the feature... [more] |
IN2020-83 pp.172-177 |
BioX, CNR |
2021-03-02 09:30 |
Online |
Online |
Construction and Evaluation of an Emotion Estimation Model Using EEG and Heart Rate Variability Indices Kei Suzuki, Ryota Matsubara, Midori Sugaya (Shibaura Inst. of Tech.) BioX2020-40 CNR2020-13 |
Urabe et al. have conducted research on human emotion estimation techniques. They constructed an emotion estimation mode... [more] |
BioX2020-40 CNR2020-13 pp.1-6 |
MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-03 14:40 |
Online |
Online |
Semantic and Quantitative Explanation for Networks using Feature Interaction Bohui Xia, Xueting Wang, Toshihiko Yamasaki (The Univ. of Tokyo) IMQ2020-35 IE2020-75 MVE2020-67 |
Deep learning-based methods have shown remarkable performances in many tasks. However, it is hard for us to interpret th... [more] |
IMQ2020-35 IE2020-75 MVE2020-67 pp.127-132 |
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] |
|
NC, NLP (Joint) |
2021-01-22 10:05 |
Online |
Online |
Verification of a Visuomotor Integration Model for Grasping the Cups of Different Sizes with a Multi-Fingered Robot Hand Motoi Matsuda, Naohiro Fukumura (Toyohashi Univ. of Tech) NC2020-36 |
Object recognition and object grasping using image recognition methods have been actively researched, but most of them c... [more] |
NC2020-36 pp.24-28 |
HIP |
2020-12-23 10:00 |
Online |
Online |
Acoustic features of a Japanese speech corpus for emotion(al) intensity estimation Megumi Kawase, Minoru Nakayama (Tokyo Tech) HIP2020-64 |
ecently, there have been many studies on emotion estimation from non-linguistic speech data, but few studies on emotion ... [more] |
HIP2020-64 pp.55-60 |
AP |
2020-12-17 13:50 |
Online |
Online |
A Study on Urban Structure Map Extraction for Radio Propagation Prediction using XGBoost Tatsuya Nagao, Takahiro Hayashi (KDDI Research) AP2020-98 |
Recently, the rapid increase in mobile data traffic and the diversification of wireless communication services have led ... [more] |
AP2020-98 pp.13-17 |
PRMU |
2020-12-18 14:40 |
Online |
Online |
Construction of SSD model applied Feature Contraction and Rand Augment by small training data Tomokazu Ozawa (UNICO), Yuki Matsumoto, Katsushi Miura (SEI), Takuya Okuno (SCE) PRMU2020-60 |
Appearance inspection is often performed to maintain quality in the industrial production. Until now, the appearance ins... [more] |
PRMU2020-60 pp.128-132 |
AI |
2020-12-10 14:20 |
Shizuoka |
Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
Slide Design Assessment Featuring Visual and Structural Analysis Shengzhou Yi (UTokyo), Junichiro Matsugami (Rubato), Xueting Wang, Toshihiko Yamasaki (UTokyo) AI2020-3 |
Appealing design of presentation slides is a great way to make the presentation more attractive and easier to understand... [more] |
AI2020-3 pp.13-18 |
IA |
2020-10-01 11:15 |
Online |
Online |
Malicious URLs Detection Using an Integrated AI Framework Bo-Xiang Wang, Ren-Feng Deng, Yi-Wei Ma, Jiann-Liang Chen (NTUST) IA2020-1 |
Malicious attacks on computer networks are quite common, and the internet attacks are even more widespread, such as Malv... [more] |
IA2020-1 pp.1-5 |
PRMU |
2020-09-02 10:00 |
Online |
Online |
A method for clarifying differences between feature distributions of various solutions about topic model Toshio Uchiyama, Tsukasa Hokimoto (HIU) PRMU2020-8 |
Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are
known as topic models to analyze text data an... [more] |
PRMU2020-8 pp.1-6 |