Sylvain Lobry
Sylvain Lobry
Associate professor, Université de Paris
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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
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
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
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
Scale equivariance in CNNs with vector fields
D Marcos, B Kellenberger, S Lobry, D Tuia
arXiv preprint arXiv:1807.11783, 2018
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
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
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
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
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
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
Pushing the right boundaries matters! wasserstein adversarial training for label noise
BB Damodaran, K Fatras, S Lobry, R Flamary, D Tuia, N Courty
Deep learning models to count buildings in high-resolution overhead images
S Lobry, D Tuia
2019 Joint Urban Remote Sensing Event (JURSE), 1-4, 2019
Non-uniform markov random fields for classification of SAR images
S Lobry, F Tupin, R Fjortoft
Proceedings of EUSAR 2016: 11th European Conference on Synthetic Aperture …, 2016
Sparse+ smooth decomposition models for multi-temporal SAR images
S Lobry, L Denis, F Tupin
2015 8th International Workshop on the Analysis of Multitemporal Remote …, 2015
Speckle reduction in PolSAR by multi-channel variance stabilization and Gaussian denoising: MuLoG
CA Deledalle, L Denis, F Tupin, S Lobry
EUSAR 2018; 12th European Conference on Synthetic Aperture Radar, 1-5, 2018
Unsupervised detection of thin water surfaces in SWOT images based on segment detection and connection
S Lobry, F Tupin, R Fj
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
Interpretable Scenicness from Sentinel-2 Imagery
A Levering, D Marcos, S Lobry, D Tuia
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
Learning multi-label aerial image classification under label noise: a regularization approach using word embeddings
Y Hua, S Lobry, LC Mou, D Tuia, XX Zhu
Contextual Semantic Interpretability
D Marcos, R Fong, S Lobry, R Flamary, N Courty, D Tuia
Proceedings of the Asian Conference on Computer Vision, 2020
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