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Sylvain Lobry
Sylvain Lobry
Associate professor, Université Paris Cité
Verified email at u-paris.fr - Homepage
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Cited by
Cited by
Year
RSVQA: Visual question answering for remote sensing data
S Lobry, D Marcos, J Murray, D Tuia
IEEE Transactions on Geoscience and Remote Sensing 58 (12), 8555-8566, 2020
1362020
Half a percent of labels is enough: Efficient animal detection in UAV imagery using deep CNNs and active learning
B Kellenberger, D Marcos, S Lobry, D Tuia
IEEE Transactions on Geoscience and Remote Sensing 57 (12), 9524-9533, 2019
1262019
A deep learning framework for matching of SAR and optical imagery
LH Hughes, D Marcos, S Lobry, D Tuia, M Schmitt
ISPRS Journal of Photogrammetry and Remote Sensing 169, 166-179, 2020
972020
Fine-grained landuse characterization using ground-based pictures: a deep learning solution based on globally available data
S Srivastava, JE Vargas Munoz, S Lobry, D Tuia
International Journal of Geographical Information Science 34 (6), 1117-1136, 2020
742020
Correcting rural building annotations in OpenStreetMap using convolutional neural networks
JE Vargas-Muñoz, S Lobry, AX Falcão, D Tuia
ISPRS journal of photogrammetry and remote sensing 147, 283-293, 2019
602019
Scale equivariance in CNNs with vector fields
D Marcos, B Kellenberger, S Lobry, D Tuia
arXiv preprint arXiv:1807.11783, 2018
592018
Prompt-RSVQA: Prompting visual context to a language model for remote sensing visual question answering
C Chappuis, V Zermatten, S Lobry, B Le Saux, D Tuia
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
362022
Wasserstein adversarial regularization for learning with label noise
K Fatras, BB Damodaran, S Lobry, R Flamary, D Tuia, N Courty
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 7296 …, 2021
33*2021
Shrub decline and expansion of wetland vegetation revealed by very high resolution land cover change detection in the Siberian lowland tundra
RÍ Magnússon, J Limpens, D Kleijn, K van Huissteden, TC Maximov, ...
Science of the Total Environment 782, 146877, 2021
312021
Contextual semantic interpretability
D Marcos, R Fong, S Lobry, R Flamary, N Courty, D Tuia
Proceedings of the Asian Conference on Computer Vision, 2020
292020
RSVQA meets BigEarthNet: a new, large-scale, visual question answering dataset for remote sensing
S Lobry, B Demir, D Tuia
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 1218 …, 2021
282021
Multitemporal SAR image decomposition into strong scatterers, background, and speckle
S Lobry, L Denis, F Tupin
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
272016
Semantically Interpretable Activation Maps: what-where-how explanations within CNNs
D Marcos, S Lobry, D Tuia
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
252019
Learning multi-label aerial image classification under label noise: A regularization approach using word embeddings
Y Hua, S Lobry, L Mou, D Tuia, XX Zhu
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
242020
How to find a good image-text embedding for remote sensing visual question answering?
C Chappuis, S Lobry, B Kellenberger, BL Saux, D Tuia
arXiv preprint arXiv:2109.11848, 2021
222021
Visual question answering from remote sensing images
S Lobry, J Murray, D Marcos, D Tuia
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
172019
Land-use characterisation using Google Street View pictures and OpenStreetMap
S Srivastava, S Lobry, D Tuia, J Vargas-Muñoz
AGILE International Conference on Geographic Information Science, 2018
172018
Better generic objects counting when asking questions to images: A multitask approach for remote sensing visual question answering
S Lobry, D Marcos, B Kellenberger, D Tuia
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020
112020
Language transformers for remote sensing visual question answering
C Chappuis, V Mendez, E Walt, S Lobry, B Le Saux, D Tuia
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
102022
Correcting misaligned rural building annotations in open street map using convolutional neural networks evidence
JE Vargas-Munoz, D Marcos, S Lobry, JA dos Santos, AX Falcao, D Tuia
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
82018
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