| Incremental learning for semantic segmentation of large-scale remote sensing data O Tasar, Y Tarabalka, P Alliez IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 137 | 2019 |
| ColorMapGAN: Unsupervised domain adaptation for semantic segmentation using color mapping generative adversarial networks O Tasar, SL Happy, Y Tarabalka, P Alliez IEEE Transactions on Geoscience and Remote Sensing 58 (10), 7178-7193, 2020 | 123 | 2020 |
| DAugNet: Unsupervised, multisource, multitarget, and life-long domain adaptation for semantic segmentation of satellite images O Tasar, A Giros, Y Tarabalka, P Alliez, S Clerc IEEE Transactions on Geoscience and Remote Sensing 59 (2), 1067-1081, 2020 | 63 | 2020 |
| StandardGAN: Multi-source domain adaptation for semantic segmentation of very high resolution satellite images by data standardization O Tasar, Y Tarabalka, A Giros, P Alliez, S Clerc Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 61 | 2020 |
| SemI2I: Semantically consistent image-to-image translation for domain adaptation of remote sensing data O Tasar, SL Happy, Y Tarabalka, P Alliez IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 29 | 2020 |
| Automatic fault mapping in remote optical images and topographic data with deep learning L Mattéo, I Manighetti, Y Tarabalka, J Gaucel, M van den Ende, A Mercier, ... Journal of Geophysical Research: Solid Earth 126 (4), e2020JB021269, 2021 | 17 | 2021 |
| Multi-task deep learning for satellite image pansharpening and segmentation A Khalel, O Tasar, G Charpiat, Y Tarabalka IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 14 | 2019 |
| Polygonization of binary classification maps using mesh approximation with right angle regularity O Tasar, E Maggiori, P Alliez, Y Tarabalka IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 11 | 2018 |
| Deep domain adaptation in earth observation B Kellenberger, O Tasar, B Bhushan Damodaran, N Courty, D Tuia Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote …, 2021 | 9 | 2021 |
| Continual learning for dense labeling of satellite images O Tasar, Y Tarabalka, P Alliez IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 8 | 2019 |
| A Generic Framework for Combining Multiple Segmentations in Geographic Object-Based Image Analysis S Lefèvre, D Sheeren, O Tasar ISPRS international journal of geo-information 8 (2), 70, 2019 | 6 | 2019 |
| Evaluation of Joint Multi-Instance Multi-Label Learning For Breast Cancer Diagnosis B Gecer, O Yalcinkaya, O Tasar, S Aksoy arXiv preprint arXiv:1510.02942, 2015 | 1 | 2015 |
| Data Augmentation by Generative Adversarial Networks for Semantic Segmentation of Satellite Images O Tasar, A Giros, Y Tarabalka, P Alliez, S Clerc SophIA Summit, 2020 | | 2020 |
| Des images satellites aux cartes vectorielles O Tasar Université Côte d'Azur, 2020 | | 2020 |
| From satellite images to vector maps O Tasar Université Côte d'Azur, 2020 | | 2020 |
| Automatic mapping of fractures and faults in optical images and Digital Surface Models with deep learning L Mattéo, I Manighetti, O Tasar, F Leclerc, N Girard, Y Tarabalka, ... AGU Fall Meeting Abstracts 2019, S54A-06, 2019 | | 2019 |
| From Satellite Images to Vector Representations O Tasar, Y Tarabalka, P Alliez, A Giros, S Clerc JC2-14èmes Journées CNES Jeunes Chercheurs, 2019 | | 2019 |
| Combining multiple segmentations through a flexible framework S Lefèvre, O Tasar, D Sheeren GEOBIA 2018-From pixels to ecosystems and global sustainability, 2018 | | 2018 |
