Onur Tasar
Onur Tasar
Verified email at inria.fr - Homepage
Title
Cited by
Cited by
Year
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
452019
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
292020
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
112020
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
102018
SemI2I: Semantically consistent image-to-image translation for domain adaptation of remote sensing data
O Tasar, SL Happy, Y Tarabalka, P Alliez
arXiv preprint arXiv:2002.05925, 2020
62020
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
52019
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
52019
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, 2020
42020
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
42019
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, 2021
2021
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
INRIA Sophia Antipolis-Méditerranée; Universite cote 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
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
2015
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Articles 1–17