| 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 | 201 | 2020 |
| 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 | 135 | 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 | 117 | 2020 |
| 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 | 87 | 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 | 69 | 2019 |
| Scale equivariance in CNNs with vector fields D Marcos, B Kellenberger, S Lobry, D Tuia arXiv preprint arXiv:1807.11783, 2018 | 64 | 2018 |
| 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 | 54 | 2022 |
| 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 | 46 | 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 | 38 | 2021 |
| Contextual semantic interpretability D Marcos, R Fong, S Lobry, R Flamary, N Courty, D Tuia Proceedings of the Asian Conference on Computer Vision, 2020 | 34 | 2020 |
| 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 | 33 | 2019 |
| 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 | 32 | 2021 |
| 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 | 32 | 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 | 28 | 2016 |
| 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 | 24 | 2021 |
| Visual question answering on remote sensing images S Lobry, D Tuia Advances in Machine Learning and Image Analysis for GeoAI, 237-254, 2024 | 20 | 2024 |
| 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 | 15 | 2022 |
| 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 | 14 | 2020 |
| 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 | 9 | 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 | 9 | 2019 |
Devis TuiaEcole Polytechnique Fédérale de Lausanne (EPFL)epfl.ch의 이메일 확인됨