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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM 2020-03-16
11:15
Kyoto
(Cancelled but technical report was issued)
Image Synthesis Based on Style Features and Mask Images Using a Ramen Style Encoder
Jaehyeong Cho, Wataru Shimoda, Keiji Yanai (UEC) PRMU2019-71
(To be available after the conference date) [more] PRMU2019-71
pp.33-38
HCS 2019-10-26
15:05
Tokyo Nihon Univ. Weakly-supervised dish segmentation
Wataru Shimoda, Keiji Yanai (UEC) HCS2019-49
(To be available after the conference date) [more] HCS2019-49
pp.53-58
PRMU, BioX 2019-03-18
10:15
Tokyo   Estimation of changing regions for highly accurate weakly-supervised semantic segmentation
Wataru Shimoda, Keiji Yanai (UEC) BioX2018-49 PRMU2018-153
 [more] BioX2018-49 PRMU2018-153
pp.119-124
PRMU, IPSJ-CVIM, IBISML [detail] 2016-09-06
16:15
Toyama   Webly-supervised Automatic Construction of Food Detectors
Wataru Shimoda, Keiji Yanai (Univ. of Electro-Communications) PRMU2016-88 IBISML2016-43
 [more] PRMU2016-88 IBISML2016-43
pp.263-268
PRMU, IPSJ-CVIM, IBISML [detail] 2016-09-06
16:45
Toyama   Partial style transfer for texture image using weakly supervised segmentation
Shin Matsuo, Wataru Shimoda, Keiji Yanai (UEC) PRMU2016-89 IBISML2016-44
 [more] PRMU2016-89 IBISML2016-44
pp.269-274
DE 2015-09-25
15:40
Kanagawa   Estimation of Food Calorie Intake with CNN-based Food Image Segmentation
Wataru Shimoda, Keiji Yanai (UEC) DE2015-31
 [more] DE2015-31
pp.65-70
PRMU, IBISML, IPSJ-CVIM [detail] 2015-09-15
15:00
Ehime   Region Segmentation with Convolutional Neural Network by Weakly-Supervised Training
Wataru Shimoda, Keiji Yanai (UEC) PRMU2015-88 IBISML2015-48
 [more] PRMU2015-88 IBISML2015-48
pp.149-154
PRMU, IPSJ-CVIM, MVE [detail] 2015-01-22
15:50
Nara   Gathering and Analyzing Material Images on the Web with DCNN features
Wataru Shimoda, Keiji Yanai (UEC) PRMU2014-89 MVE2014-51
(To be available after the conference date) [more] PRMU2014-89 MVE2014-51
pp.67-72
 Results 1 - 8 of 8  /   
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