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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 13:00 |
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 pp.31-36 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 10:45 |
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 pp.127-132 |
| PRMU, IPSJ-CVIM | 2020-03-16 16:20 |
Kyoto | (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 pp.99-100 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-27 14:15 |
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 pp.201-206 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2019-02-19 14:45 |
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 pp.91-96 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2018-02-16 10:45 |
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 pp.239-244 |
| MVE | 2017-09-22 14:10 |
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) |
[more] | |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2017-02-21 09:00 |
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 11:15 |
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 pp.259-264 |
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