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 | 38 | 2020 |
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 | 32 | 2017 |
Image inpainting using frequency-domain priors H Roy, S Chaudhury, T Yamasaki, T Hashimoto Journal of Electronic Imaging 30 (2), 023016-023016, 2021 | 14 | 2021 |
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 | 13 | 2018 |
An early history of the Philippine space development program Q Verspieren, G Coral, B Pyne, H Roy Acta Astronautica 151, 919-927, 2018 | 12 | 2018 |
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 | 8 | 2019 |
Adversarial training time attack against discriminative and generative convolutional models S Chaudhury, H Roy, S Mishra, T Yamasaki IEEE Access 9, 109241-109259, 2021 | 4 | 2021 |
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 | 2 | 2020 |
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 |