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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
Online Online Domain Incremental Leaning with Adaptive Loss Functions
Takumi Kawashima (UTokyo), Go Irie, Daiki Ikami (NTT), Kiyoharu Aizawa (UTokyo) ITS2021-30 IE2021-39
During domain incremental learning of image classification task, the distribution of images continually change, and mode... [more] ITS2021-30 IE2021-39
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-22
Online Online ITS2021-46 IE2021-55 There has been a tremendous progress in unsupervised domain adaptation (UDA), which aims to transfer knowledge acquired ... [more] ITS2021-46 IE2021-55
PRMU, IPSJ-CVIM 2020-03-16
(Cancelled but technical report was issued)
[Short Paper] Aleatoric Uncertainty Estimation Based on Separate Formulation
Takumi Kawashima, Qing Yu (Tokyo Univ.), Akari Asai (.UW), Daiki Ikami (NTT/Tokyo Univ.), Kiyoharu Aizawa (Tokyo Univ.) PRMU2019-84
(To be available after the conference date) [more] PRMU2019-84
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
Hokkaido Hokkaido Univ.
(Cancelled but technical report was issued)
Translation from Line Drawings to Manga Using Deep Learning by Adding a Screentone Layer
Koki Tsubota, Daiki Ikami, Kiyoharu Aizawa (UTokyo) ITS2019-38 IE2019-76
The translation from line drawings to manga is one of the processes for creating manga and the automation of this proces... [more] ITS2019-38 IE2019-76
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2019-02-19
Hokkaido Hokkaido Univ. Data Augmentation via Transformer and Diverse QA Generation for Visual Question Answering
Masao Tsukiyama, Daiki Ikami (Tokyo Univ.), Go Irie (NTT), Kiyoharu Aizawa (Tokyo Univ.) ITS2018-68 IE2018-89
 [more] ITS2018-68 IE2018-89
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-16
Hokkaido Hokkaido Univ. Parallel feature pooling without information loss
Akito Takeki, Daiki Ikami (Univ. Tokyo), Go Irie (NTT), Kiyoharu Aizawa (Univ. Tokyo) ITS2017-80 IE2017-112
In convolutional neural networks for image recognition, the pooling layer plays a important role.
The pooling layer pe... [more]
ITS2017-80 IE2017-112
MVE 2017-09-22
Chiba Chiba Univ. Report on Food classification task award (Best precision award)/AI Technology Strategic Committee Chair award
Akito Takeki, Daiki Ikami (The Univ. of Tokyo)
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2017-02-21
Hokkaido Hokkaido Univ. A Comparative Evaluation of Deep Features -- Classifier-based Learning vs. Distance Metric Learning. --
Shota Horiguchi, Daiki Ikami, Kiyoharu Aizawa (UTokyo)
The extraction of useful deep features is important for many computer vision tasks. Deep features extracted from classif... [more]
ITS, IE, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2016-02-23
Hokkaido Hokkaido Univ. Fast and Robust Relative Pose Estimation Based on Eigen Values Minimization Problem
Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa (UT) ITS2015-79 IE2015-121
Relative pose estimation between two frames requires a robust method because extracted corresponding points can include ... [more] ITS2015-79 IE2015-121
 Results 1 - 9 of 9  /   
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