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Hiroyasu Akada
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Self-supervised learning of domain invariant features for depth estimation
H Akada, SF Bhat, I Alhashim, P Wonka
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer íK, 2022
142022
UnrealEgo: A new dataset for robust egocentric 3d human motion capture
H Akada, J Wang, S Shimada, M Takahashi, C Theobalt, V Golyanik
European Conference on Computer Vision, 1-17, 2022
112022
AN EXAMPLE OF CLUSTER ENERGY MANAGEMENT SYSTEM IN AGING SOCIETY
K Terashima, H Akada, Y Kobayashi, H Sato, T Ikaga
Grand Renewable Energy proceedings Japan council for Renewable Energy (2018 íK, 2018
12018
Dynamic Object Removal from Unpaired Images for Agricultural Autonomous Robots
H Akada, M Takahashi
International Conference on Intelligent Autonomous Systems, 641-653, 2021
2021
WACV 2022
D Bashkirova, B Usman, K Saenko, P Guo, MA Bautista, A Colburn, ...
Supplementary Material: Self-Supervised Learning of Domain Invariant Features for Depth Estimation
H Akada, SF Bhat, I Alhashim, P Wonka, S Data
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)| 978-1-6654-0915-5/22/$31.00© 2022 IEEE| DOI: 10.1109/WACV51458. 2022.00414
A Abdelhamed, A Abdelreheem, S Abu-Hussein, A Abuolaim, M Afifi, ...
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