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Hiya Roy
Hiya Roy
Verified email at hal.t.u-tokyo.ac.jp - Homepage
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Cited by
Cited by
Year
Maars: Machine learning-based analytics for automated rover systems
M Ono, B Rothrock, K Otsu, S Higa, Y Iwashita, A Didier, T Islam, ...
2020 IEEE aerospace conference, 1-17, 2020
372020
Can fully convolutional networks perform well for general image restoration problems?
S Chaudhury, H Roy
2017 Fifteenth IAPR International Conference on Machine Vision Applications …, 2017
332017
Image inpainting using frequency-domain priors
H Roy, S Chaudhury, T Yamasaki, T Hashimoto
Journal of Electronic Imaging 30 (2), 023016-023016, 2021
132021
Predicting image aesthetics using objects in the scene
H Roy, T Yamasaki, T Hashimoto
Proceedings of the 2018 International Joint Workshop on Multimedia Artworks …, 2018
132018
An early history of the Philippine space development program
Q Verspieren, G Coral, B Pyne, H Roy
Acta Astronautica 151, 919-927, 2018
102018
Lunar surface image restoration using U-net based deep neural networks
H Roy, S Chaudhury, T Yamasaki, D DeLatte, M Ohtake, T Hashimoto
arXiv preprint arXiv:1904.06683, 2019
82019
Adversarial training time attack against discriminative and generative convolutional models
S Chaudhury, H Roy, S Mishra, T Yamasaki
IEEE Access 9, 109241-109259, 2021
32021
Toward Better Planetary Surface Exploration by Orbital Imagery Inpainting
H Roy, S Chaudhury, T Yamasaki, T Hashimoto
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020
22020
Planetary image inpainting by learning mode-specific regression models
H Roy, S Chaudhury, T Yamasaki, T Hashimoto
Machine Learning for Planetary Science, 111-129, 2022
2022
Retrieving Interesting Planetary Images based on Captions
H Roy, T Yamasaki, T Hashimoto
IEICE Technical Report; IEICE Tech. Rep. 120 (409), 151-156, 2021
2021
Image compression by colorization
H Roy, S Chaudhury, T Yamasaki, T Hashimoto
IEICE Technical Report; IEICE Tech. Rep. 119 (481), 107-108, 2020
2020
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