| Rotation equivariant vector field networks D Marcos, M Volpi, N Komodakis, D Tuia International Conference on Computer Vision (ICCV), 2017 | 139 | 2017 |
| Detecting mammals in UAV images: Best practices to address a substantially imbalanced dataset with deep learning B Kellenberger, D Marcos, D Tuia Remote sensing of environment 216, 139-153, 2018 | 108 | 2018 |
| Learning rotation invariant convolutional filters for texture classification D Marcos, M Volpi, D Tuia 2016 23rd International Conference on Pattern Recognition (ICPR), 2012-2017, 2016 | 94 | 2016 |
| Land cover mapping at very high resolution with rotation equivariant CNNs: Towards small yet accurate models D Marcos, M Volpi, B Kellenberger, D Tuia ISPRS journal of photogrammetry and remote sensing 145, 96-107, 2018 | 87 | 2018 |
| Learning deep structured active contours end-to-end D Marcos, D Tuia, B Kellenberger, L Zhang, M Bai, R Liao, R Urtasun Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 74 | 2018 |
| Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization D Tuia, D Marcos, G Camps-Valls ISPRS Journal of Photogrammetry and Remote Sensing 120, 1-12, 2016 | 38 | 2016 |
| 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 | 28 | 2019 |
| Geospatial Correspondences for Multimodal Registration D Marcos, R Hamid, D Tuia Computer Vision and Pattern Recognition (CVPR), 2016 | 27 | 2016 |
| Scale equivariance in CNNs with vector fields D Marcos, B Kellenberger, S Lobry, D Tuia ICML Workshops, 2018 | 20 | 2018 |
| Weakly supervised alignment of multisensor images DM Gonzalez, G Camps-Valls, D Tuia 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 9 | 2015 |
| Improving maps from CNNs trained with sparse, scribbled ground truths using fully connected CRFs L Maggiolo, D Marcos, G Moser, D Tuia IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 8 | 2018 |
| Compressed imaging by sparse random convolution D Marcos, T Lasser, A López, A Bourquard Optics express 24 (2), 1269-1290, 2016 | 7 | 2016 |
| Semantically Interpretable Activation Maps: what-where-how explanations within CNNs D Marcos, S Lobry, D Tuia 2019 ICCV Workshop on Interpreting and Explaining Visual Artificial …, 2019 | 6 | 2019 |
| When a few clicks make all the difference: Improving weakly-supervised wildlife detection in UAV images B Kellenberger, D Marcos, D Tuia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 6 | 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 | 6 | 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 | 5 | 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 | 5 | 2019 |
| Detecting animals in repeated UAV image acquisitions by matching CNN activations with optimal transport B Kellenberger, D Marcos, N Courty, D Tuia IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 4 | 2018 |
| Large-scale random features for kernel regression V Laparra, DM Gonzalez, D Tuia, G Camps-Valls 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 17-20, 2015 | 4 | 2015 |
| 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 | 3 | 2020 |
Devis TuiaEcole Polytechnique Fédérale de Lausanne (EPFL)Verified email at epfl.ch
