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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 28  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP 2024-05-10
10:55
Kagawa Kagawa Prefecture Social Welfare Center Analysis of the role of latent variables in image classification in deep learning models
Kenya Jin'no, Mizuki Dai, Haruki Wakasa, Hiroki Tamegai (Tokyo City Univ.) NLP2024-12
(To be available after the conference date) [more] NLP2024-12
pp.58-62
EMM 2024-03-02
14:00
Overseas Day1:JEJU TECHNOPARK, Day2:JEJU Business Agency [Poster Presentation] Classification of AI generated images by sparse coding
Daishi Tanaka, Michiharu Niimi (KIT) EMM2023-89
In recent years, advancements in generative AI technologies have made it increasingly challenging for human vision to di... [more] EMM2023-89
pp.1-6
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
11:15
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Dynamic Weight Scheduling for Long-tailed Visual Recognition
Xinyuan Li (Ritsumeikan Univ.), Yu Wang (Hitotsubashi Univ.), Jien Kato (Ritsumeikan Univ.) PRMU2022-78 IBISML2022-85
For long-tailed image recognition tasks, re-weighting is effective to alleviate data imbalance by assigning higher weigh... [more] PRMU2022-78 IBISML2022-85
pp.107-110
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
17:00
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Continual learning combining Replay and Parameter Isolation Methods
Ryota Adachi, Toshikazu Wada (Wakayama Univ.) PRMU2022-121 IBISML2022-128
Deep Neural Networks (DNN) are used for various tasks such as image classification, but when a new task is trained on a ... [more] PRMU2022-121 IBISML2022-128
pp.335-340
HIP 2021-10-21
10:35
Online Online Estimations of emotional impression for emotion-evoking pictures using eye information
Minoru Nakayama (Tokyo Tech.) HIP2021-31
Regression predicted ratings of valence and arousal for presented images were evaluated using relationships between ocul... [more] HIP2021-31
pp.7-12
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-19
14:05
Online Online [Special Talk] A Note on Discrimination of Road Surface Conditions Based on Deep Learning Using Road Images
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we study the discrimination of road surface conditions based on deep learning using images captured by fi... [more]
MVE 2019-08-29
15:30
Aichi   [Short Paper] Impression estimation of 3D shape considering the influence of gaze direction DNN using multi-viewpoint image group
Keisuke Sakashita, Kensuke Tobitani (Kwansei Gakuin Univ.), Kouichi Taguchi (Chukyo Univ.), Iori Tani, Sho Hashimoto, Kenji Katahira (Kwansei Gakuin Univ.), Manabu Hashimoto (Chukyo Univ.), Noriko Nagata (Kwansei Gakuin Univ.) MVE2019-11
To estimate how a three-dimensional shape makes a person feel, a method using the deep neural network with multi-viewpoi... [more] MVE2019-11
pp.35-36
IMQ, IE, MVE, CQ
(Joint) [detail]
2019-03-15
14:25
Kagoshima Kagoshima University Estimation of dislocation regions in multicrystalline silicon photoluminescence image by transfer learning with convolutional neural network
Hiroaki Kudo, Tetsuya Matsumoto (Nagoya Univ.), Kentaro Kutsukake (RIKEN), Noritaka Usami (Nagoya Univ.) IMQ2018-69 IE2018-153 MVE2018-100
In this report, we studied a specified method of regions including dislocations which are crystallographic defects in a ... [more] IMQ2018-69 IE2018-153 MVE2018-100
pp.257-262
HCGSYMPO
(2nd)

Mie Sinfonia Technology Hibiki Hall Ise Effect of Image Color Compensation on Receiving Like in Instagram -- A Study Considering Category Classification of Images --
Inomata Kentaro, Takahashi Aya, Shinto Hikari, Nagata Noriko (Kwansei Gakuin Univ.), Shoda Marie, Kuribayashi Hidenori, Hoshuyama Hideo, Fujinawa Nobuhiro (Nikon)
In Instagram, evaluations with “Like” are given to the images as a communication between users. In this research, we exa... [more]
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
13:40
Okinawa   MI2017-78 Diseases appearing in the spine include spondylolysis, spondylolisthesis, vertebral fracture, and the like. A preoperati... [more] MI2017-78
pp.43-44
PRMU, BioX 2018-03-18
11:10
Tokyo   Simultaneous Learning Model of Food Image Recognition and Ingrediensts Estimation
Koyo Ito, Takao Yamanaka (Sophia Univ.) BioX2017-38 PRMU2017-174
In recent years, many health-care applications such as food diary have been developed for smart devices. It is important... [more] BioX2017-38 PRMU2017-174
pp.13-18
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-15
13:45
Hokkaido Hokkaido Univ. A Note on Accuracy Improvement of Category Classification for Tourism Images in Image Sharing Services Using Deep Learning
Naoki Saito, Takahiro Ogawa (Hokkaido Univ.), Satoshi Asamizu (NIT, Kushiro College), Miki Haseyama (Hokkaido Univ.)
This paper presents a category classification of tourism images in image sharing services. The proposed method obtains t... [more]
WIT 2015-03-14
13:50
Ibaraki Kasuga Campus, Tsukuba University of Technology Document color modification with hatching for color vision defectives
Takaaki Koshi, Naotaka Hashimoto, Naoya Ohta (Gunma Univ.), Yasushi Kanazawa (Toyohashi Univ.) WIT2014-113
Image processing methods for color vision defectives have been proposed. These methods modify images so that color visio... [more] WIT2014-113
pp.159-163
PRMU, MI, IE, SIP 2014-05-22
13:00
Aichi   [Invited Talk] Perspective from "Autopsy imaging" to "Postmortem Imageology"
Kunihiro Inai (Univ. of Fukui) SIP2014-2 IE2014-2 PRMU2014-2 MI2014-2
Postmortem imaging called “Autopsy imaging (Ai)” in Japan has been progressed in a last decade. Ai is a category of diag... [more] SIP2014-2 IE2014-2 PRMU2014-2 MI2014-2
p.7
ISEC 2014-05-09
15:30
Tokyo Kikai-Shinko-Kaikan Bldg. A Robust DWT Watermarking for Image using Quantized Domain Based on q-logarithm Function
Ta Minh Thanh (Titech), Ta Minh Tam (VSTV) ISEC2014-6
In this paper, we propose a novel and robust discrete wavelet transformation (DWT) watermarking for image using quantize... [more] ISEC2014-6
pp.35-42
HCGSYMPO
(2nd)
2013-12-18
- 2013-12-20
Ehime Matsuyama Multi-Purpose Community Cente The Possibility of an Application Search Interface Providing Intuitive Operation of Icon Color
Tomoko Kajiyama (Aoyama Gakuin Univ.)
We improved a ring-structured graphical search interface and developed an iPhone application for application search name... [more]
EMM, EA 2013-11-15
10:15
Hiroshima Prefectural University of Hiroshima, Satellite Campus Hiroshima Evaluation of an Application Search Interface Providing Multi-faceted Navigation
Tomoko Kajiyama (Aoyama Gakuin Univ.) EA2013-79 EMM2013-79
We improved a ring-structured graphical search interface and developed an iPhone application for application search name... [more] EA2013-79 EMM2013-79
pp.65-70
IE, MVE 2012-03-12
13:35
Toyama Toyama University Video Quality Evaluation of Camera's interval and number of Viewpoints in three-dimensional CG Videos with 8 Viewpoints Lenticular Lens Method
Norifumi Kawabata, Keiji Shibata, Yasuhiro Inazumi, Yuukou Horita (Univ. of Toyama) IE2011-152 MVE2011-114
Recently, it is in the process of deciding that methods of stereogram and display style in 3D display with 3D glasses. H... [more] IE2011-152 MVE2011-114
pp.109-114
MI 2012-01-20
11:25
Okinawa   Detection of the liver hemangioma from 3D abdominal CT images by using local intensity features and multi-class classifier
Yoshitaka Sakamoto, Masahiro Oda (Nagoya Univ), Takayuki Kitasaka (AIT), Shigeru Nawano (IHW), Kensaku Mori (Nagoya Univ) MI2011-146
In this paper, we propose a method for detecting hemangioma from four-phases contrasted 3D abdominal CT images.
In our ... [more]
MI2011-146
pp.383-388
PRMU, IPSJ-CVIM 2010-11-19
13:30
Fukui   [Fellow Memorial Lecture] Color Information, 3D Shape, and Color Image Processing
Johji Tajima (Nagoya City Univ.) PRMU2010-122
The research topics on color images may be classified into several categories – topics in which colors are physica... [more] PRMU2010-122
p.99
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