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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2021-12-16
10:30
Online Online Utilization of Synthetic Data for Mud Stain Removal from Single Image
Shusaku Asada, Yoshihito Kokubo (Aisin Corp.), Masaru Koide (MACNICA, Inc.), Kohei Yamamoto (Corpy&Co., Inc.), Yoshihisa Suetsugu (Aisin Corp.) PRMU2021-24
Mud stains on the lens can cause serious damage to the various image recognition systems. Compared to raindrops, mud sta... [more] PRMU2021-24
pp.1-6
PRMU 2019-10-18
14:35
Tokyo   Parking Space Estimation using Lightweight Model
Yoshihito Kokubo, Koki Ueda, Jun Adachi, Yoshihisa Suetsugu (Aisin Seiki) PRMU2019-37
 [more] PRMU2019-37
pp.29-34
PRMU, CNR 2017-02-18
14:10
Hokkaido   Fine-grained Pedestrian Classification by Fusing Multiple CNN Models
Yoshihito Kokubo, Yu Wang, Jien Kato, Kenji Mase (Nagoya Univ.) PRMU2016-166 CNR2016-33
Fine-grained categories of pedestrians lead to higher level understanding on pedestrians as well as their activities, th... [more] PRMU2016-166 CNR2016-33
pp.81-85
PRMU, IPSJ-CVIM, MVE [detail] 2016-01-22
10:00
Osaka   Fine-Grained Classification of Pedestrian using Statistical Information
Yoshihito Kokubo, Yu Wang, Jien Kato, Kenji Mase (NU) PRMU2015-124 MVE2015-46
The purpose of this study is fine-grained classification of sex(2 classes), age(5 classes), weight(3 classes), clothing(... [more] PRMU2015-124 MVE2015-46
pp.169-173
PRMU, MI, IE, SIP 2015-05-14
13:00
Mie   Ground Plane Estimation from Monocular Camera using the Surface Layout
Yoshihito Kokubo, Yu Wang, Jien Kato, Kenji Mase (Nagoya Univ.) SIP2015-4 IE2015-4 PRMU2015-4 MI2015-4
Ground plane orientation is useful in many computer vision tasks. In this work, we propose a coarse-to-fine approach to ... [more] SIP2015-4 IE2015-4 PRMU2015-4 MI2015-4
pp.19-22
 Results 1 - 5 of 5  /   
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