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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 616  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2021-03-15
15:15
Online Online Deep State-Space Modeling of FMRI Images with Disentangle Attributes
Koki Kusano (Kobe Univ.), Takashi Matsubara (Osaka Univ.), Kuniaki Uehara (Osaka Gakuin Univ.) MI2020-59
(To be available after the conference date) [more] MI2020-59
pp.56-61
MI 2021-03-16
13:15
Online Online [Short Paper] Feature extraction using AutoEncorder from nodular shadows on chest CT images
Yuta Tanaka, Takeshi Hara, Xiangrong Zhou (Gifu Univ.), Masaki Matsusako, Taiki Nozaki (St. Luke's Hosp.) MI2020-71
(To be available after the conference date) [more] MI2020-71
pp.99-101
EMM 2021-03-04
14:15
Online Online [Poster Presentation] Detection of Adversarial Examples in CNN Image Classifiers Using Features Extracted with Multiple Strengths of Filter
Akinori Higashi, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.), Huy Hong Nguyen, Isao Echizen (NII) EMM2020-70
Deep learning has been used as a new method for machine learning, and its performance has been significantly improved. A... [more] EMM2020-70
pp.19-24
EMM 2021-03-05
10:20
Online Online Analysis of visual subjective evaluation for qualities of food taste using machine learning techniques
Yoshiyuki Sato (Tohoku Univ.), Kazuya Matsubara, Yuji Wada (Ritsmeikan Univ.), Nobuyuki Sakai, Satoshi Shioiri (Tohoku Univ.) EMM2020-77
In this study, we conducted an experiment to collect human subjective judgments about taste (e.g. sweetness, spiciness) ... [more] EMM2020-77
pp.58-62
PRMU, IPSJ-CVIM 2021-03-04
10:30
Online Online Learning Convolutional Neural Networks with Spatial Frequency Loss
Naoyuki Ichimura (AIST) PRMU2020-73
The pixel-wise L2 and pixel-wise L1 losses have been commonly used to measure the consistency between images in learning... [more] PRMU2020-73
pp.25-30
PRMU, IPSJ-CVIM 2021-03-04
16:20
Online Online VQA for Medical Image Data based on Image Feature Extraction and Fusion
Hideo Umada, Masaki Aono (TUT) PRMU2020-81
In recent years, there has been a remarkable growth in research on deep learning in the fields of computer vision and na... [more] PRMU2020-81
pp.71-76
PRMU, IPSJ-CVIM 2021-03-05
14:40
Online Online Retrieving Interesting Planetary Images based on Captions
Hiya Roy, Toshihiko Yamasaki, Tatsuaki Hashimoto (UTokyo) PRMU2020-95
Planetary images are collected by sophisticated imaging devices onboard the orbiting or roving spacecraft. As the number... [more] PRMU2020-95
pp.151-156
IN, NS
(Joint)
2021-03-04
09:50
Online Online Person Tracking Method Based on Edge-to-Edge Cooperation for Specific Person Search
Ryota Kawase, Masaki Murakami, Yoshihiko Uematsu, Satoru Okamoto, Naoaki Yamanaka (Keio Univ.) NS2020-125
The face recognition application is playing an active role in various cases such as unattended reception of visitors. Th... [more] NS2020-125
pp.13-18
BioX, CNR 2021-03-02
15:30
Online Online Visual place recognition from eye reflection
Yuki Ohshima, Kyosuke Maeda, Yusuke Edamoto, Atsushi Nakazawa (Kyoto Univ.) BioX2020-48 CNR2020-21
The cornea in the human eye reflects incoming environmental light, which means we can obtain information about the surro... [more] BioX2020-48 CNR2020-21
pp.44-49
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
11:35
Online Online A Note on Accurate Distress Image Classification of Road Structures Using Attention Map based on Text Data
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a correlation-aware attention branch network (CorABN) using multi-modal data for deterioration level... [more]
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
15:40
Online Online Texture Analysis and Evaluation of the Shitsukan Research Database Based on Luminance Information
Norifumi Kawabata (Tokyo Univ. of Science)
One of texture component on objects and graphics is luminance. By strength of luminance, human visual perception for cla... [more]
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
16:40
Online Online A note on improvement of image sentiment analysis based on introduction of image captioning
Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Recently, with the popularization of social network services, the images uploaded by users have been increasing. Users t... [more]
NC, NLP
(Joint)
2021-01-22
09:40
Online Online On decoding left-right movement intention of single arm from EEG
Mitsuhiko Inaba, Kazushi Ikeda (NAIST), Motoaki Kawanabe (ATR) NC2020-35
Brain-machine interface (BMI) is a technology that supports people by manipulating external devices using only changes i... [more] NC2020-35
pp.18-23
ICM, LOIS 2021-01-21
18:10
Online Online Two-Layered QR Codes and Their Principles -- Development of Hologram QR Codes --
Hiroya Kawahara, Kohei Yamasaki (Kobe Univ.), Makoto Takita (University of Hyogo), Yoshiaki Shiraishi, Masakatu Morii (Kobe Univ.) ICM2020-48 LOIS2020-36
The Quick Response (QR) code is used for various purposes, such as accessing web pages, payment, etc. The QR codes which... [more] ICM2020-48 LOIS2020-36
pp.81-86
PRMU 2020-12-18
15:10
Online Online A Hybrid Sampling Strategy for Improving the Accuracy of Image Classification with less Data
Ruiyun Zhu, Fumihiko Ino (Osaka Univ.) PRMU2020-62
This paper proposes a hybrid sampling strategy to improve learning accuracy with less training data for image classifica... [more] PRMU2020-62
pp.139-144
PRMU 2020-12-18
15:25
Online Online Multi-Task Attention Learning for Fine-grained Recognition
Dichao Liu (NU), Yu Wang (Rits), Kenji Mase (NU), Jien Kato (Rits) PRMU2020-63
Due to its inter-class similarity and intra-class variation, Fine-Grained Image Classification (FGIC) is an intrinsicall... [more] PRMU2020-63
pp.145-150
PRMU 2020-12-18
16:20
Online Online [Short Paper] Case Discrimination: Self-supervised Learning for classification of Medical Image
Haohua Dong, Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin (Zhejiang Univ.), Hongjie Hu, Xiujun Cai (Sir Run Run Shaw Hospital), Yen-Wei Chen (Ritsumeikan Univ.) PRMU2020-64
Deep Learning provides exciting solutions to problems in medical image analysis and is regarded as a key method for futu... [more] PRMU2020-64
pp.151-155
PRMU 2020-12-18
17:15
Online Online Rethinking the local similarity in content-based image retrieval
Longjiao Zhao (Nagoya Univ.), Yu Wang (Ritsumeikan Univ), Yoshiharu Ishikawa (Nagoya Univ.), Jien Kato (Ritsumeikan Univ) PRMU2020-68
Recently, Convolutional Neural Networks(CNN) have shown good performance in the image retrieval task. Especially, local ... [more] PRMU2020-68
pp.172-176
HCGSYMPO
(2nd)
2020-12-15
- 2020-12-17
Online Online Analysis of Relationship between Dishes and Foods towards Serving and Arrangement Support -- Feature Analysis Focusing on Color Histogram --
Hayate Fukumoto, Mitsunori Matsushita, Ryosuke Yamanishi (Kansai Univ.)
This paper investigate relationship between foods and plates based on each color histogram and its area. The goal of thi... [more]
HCGSYMPO
(2nd)
2020-12-15
- 2020-12-17
Online Online Evaluation of lively face from spatial frequency characteristics of facial images
Akihiro Tada, Nobu Mitani (POLA R&M)
The morphological characteristics of the face and the condition of the skin reportedly affect evaluations of facial attr... [more]
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