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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 14 of 14  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM 2022-03-10
15:20		 Online Online PRMU2021-67 (To be available after the conference date) [more] PRMU2021-67
pp.42-47
CQ, MVE, IE, IMQ
(Joint) [detail]		 2018-03-08
14:10		 Okinawa Okinawa Industry Support Center Carbohydrate Counting from Food Images
Hibiki Ikeda, Kyoko Sudo (Toho Univ.), Shigeko Kimura, Kayo Waki (Tokyo Univ.) IMQ2017-34 IE2017-126 MVE2017-76		 Type 1 diabetes patients, whoes body doesn't produce enough inslin to control their blood glucose levels,
estimate th... [more]		 IMQ2017-34 IE2017-126 MVE2017-76
pp.53-57
CQ, MVE, IE, IMQ
(Joint) [detail]		 2018-03-09
11:15		 Okinawa Okinawa Industry Support Center Generate images from food photos by Conditional GAN
Yoshifumi Ito, Ryosuke Tanno, Keiji Yanai (UEC) IMQ2017-50 IE2017-142 MVE2017-92		 Making images using Generative Adversarial Network (GANs) has been actively conducted recently.
In this paper, we propo... [more]		 IMQ2017-50 IE2017-142 MVE2017-92
pp.137-142
PRMU, CNR 2017-02-19
10:45		 Hokkaido   Incremental Personalization of Image Classifiers
Shota Horiguchi, Sosuke Amano, Kiyoharu Aizawa (UTokyo), Makoto Ogawa (foo.log) PRMU2016-178 CNR2016-45		 (To be available after the conference date) [more] PRMU2016-178 CNR2016-45
pp.149-154
ITS, IE, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2016-02-23
09:45		 Hokkaido Hokkaido Univ. General Food Recognition Based on Hierarchical Deep Learning with Metadata
Hokuto Kagaya, Kiyoharu Aizawa (UTokyo), Makoto Ogawa (foo.log) ITS2015-74 IE2015-116		 Food image analysis is one of the key technology to record everyday meal automatically. FoodLog, the system we have been... [more] ITS2015-74 IE2015-116
pp.229-234
DE 2015-09-25
15:10		 Kanagawa   A Study on Hierarchical Food Classification
Hokuto Kagaya, Shota Horiguchi (The Univ. of Tokyo), Sosuke Amano (foo.log), Kiyoharu Aizawa (The Univ. of Tokyo), Makoto Ogawa (foo.log) DE2015-30		 Automatic food recognition or classification is very challenging task. One of the reason is that the number of food item... [more] DE2015-30
pp.59-64
PRMU, BioX 2015-03-19
17:10		 Kanagawa   Log-normal distribution of objects' size in images and its applications to object detection -- Comparing general images and food images --
Shota Horiguchi, Kiyoharu Aizawa (UTokyo), Makoto Ogawa (foo.log) BioX2014-61 PRMU2014-181		 When detecting objects in images by which classifying many location hypotheses, it is necessary to define aspect ratio a... [more] BioX2014-61 PRMU2014-181
pp.135-140
DE 2014-09-11
14:15		 Tokyo NII、12F Room1208, 1210 Applying Distribution of Food Item Positions in An Image to Food Image Retrieval
Yukihiro Takamatsu, Kiyoharu Aizawa (Univ. of Tokyo), Makoto Ogawa (foo.log) DE2014-32		 We have released a smartphone application, in iOS and Android, named FoodLog for personal food recording purposes. In Fo... [more] DE2014-32
pp.53-56
MBE 2014-01-24
15:10		 Saga Saga University Evaluation system for nutrientintake using image processing
Rie Takahashi, Masayuki Nambu, Miho Asano (Osaka Electro-Comm. Univ.) MBE2013-100		 Many trials of the nutrition evaluation using a picture have been reported. However, almost of them are evaluation of am... [more] MBE2013-100
pp.35-38
PRMU 2013-10-04
17:40		 Chiba   Ramen vs Curry -- Twitter Food Photo Analysis with Two-year log data and rapid food recognition engine --
Yoshiyuki Kawano, Keiji Yanai (UEC) PRMU2013-67		 (To be available after the conference date) [more] PRMU2013-67
pp.59-64
DE 2013-09-12
16:10		 Tokyo NII、12F Room1208, 1210 FoodCam: A Food Recording System on a Smartphone Using a Real-time Food Photo Recognition Engine
Yoshiyuki Kawano, Keiji Yanai (UEC) DE2013-35		 (To be available after the conference date) [more] DE2013-35
pp.13-18
LOIS 2013-03-08
14:20		 Okinawa   Normalization technique for meal pictures using feature points of the tablecloth
Katsuyoshi Tanabe, Shogo Sawada (Meio Univ.) LOIS2012-101		 Good meal balance is important for health. But it is difficult to always eat a balanced meal. In this research, the tech... [more] LOIS2012-101
pp.185-190
DE 2012-06-06
10:00		 Tokyo NII、12F Room1208, 1210 Clustering of FoodLog images
Sosuke Amano, Chaminda de Silva, Kiyoharu Aizawa (Tokyo Univ.) DE2012-7		 Because of the increase of social networking services, a large number of food images are continuously uploaded. In FoodL... [more] DE2012-7
pp.37-42
PRMU, FM 2011-12-16
10:00		 Shizuoka Hamamatsu Campus, Shizuoka Univ. Food region detection using Deformable Part Model
Yuji Matsuda, Keiji Yanai (UEC) PRMU2011-133		 (To be available after the conference date) [more] PRMU2011-133
pp.47-51
 Results 1 - 14 of 14  /   
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