| 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 | 59 | 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 | 43 | 2020 |
| 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 | 42 | 2019 |
| Scale equivariance in CNNs with vector fields D Marcos, B Kellenberger, S Lobry, D Tuia arXiv preprint arXiv:1807.11783, 2018 | 38 | 2018 |
| 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 | 34 | 2020 |
| 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 | 30 | 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 | 23 | 2016 |
| 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 | 18 | 2019 |
| 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 | 13 | 2018 |
| Contextual semantic interpretability D Marcos, R Fong, S Lobry, R Flamary, N Courty, D Tuia Proceedings of the Asian Conference on Computer Vision, 2020 | 11 | 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 | 9 | 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 | 7 | 2018 |
| Wasserstein adversarial regularization (WAR) on label noise B Damodaran, K Fatras, S Lobry, R Flamary, D Tuia, N Courty | 6 | 2019 |
| 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 | 5 | 2020 |
| 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 | 5 | 2019 |
| 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 | 4 | 2021 |
| 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 | 4 | 2020 |
| Pushing the right boundaries matters! wasserstein adversarial training for label noise BB Damodaran, K Fatras, S Lobry, R Flamary, D Tuia, N Courty | 3 | 2019 |
| Double MRF for water classification in SAR images by joint detection and reflectivity estimation S Lobry, L Denis, F Tupin, R Fj 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 3 | 2017 |
| 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 | 3 | 2016 |
Devis TuiaEcole Polytechnique Fédérale de Lausanne (EPFL)Adresse e-mail validée de epfl.ch
