| Rotation equivariant vector field networks D Marcos, M Volpi, N Komodakis, D Tuia International Conference on Computer Vision (ICCV), 2017 | 217 | 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 | 211 | 2018 |
| 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 | 180 | 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 | 158 | 2016 |
| 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 | 141 | 2018 |
| 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 | 83 | 2019 |
| 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 | 61 | 2020 |
| 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 | 58 | 2016 |
| 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 | 57 | 2020 |
| Semantic segmentation of remote sensing images with sparse annotations Y Hua, D Marcos, L Mou, XX Zhu, D Tuia IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 48 | 2021 |
| Scale equivariance in CNNs with vector fields D Marcos, B Kellenberger, S Lobry, D Tuia ICML Workshops, 2018 | 47 | 2018 |
| Geospatial Correspondences for Multimodal Registration D Marcos, R Hamid, D Tuia Computer Vision and Pattern Recognition (CVPR), 2016 | 34 | 2016 |
| Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series RN Masolele, V De Sy, M Herold, D Marcos, J Verbesselt, F Gieseke, ... Remote Sensing of Environment 264, 112600, 2021 | 28 | 2021 |
| DeSpeckNet: Generalizing deep learning-based SAR image despeckling AG Mullissa, D Marcos, D Tuia, M Herold, J Reiche IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2020 | 27 | 2020 |
| Self-supervised pre-training enhances change detection in Sentinel-2 imagery M Leenstra, D Marcos, F Bovolo, D Tuia Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 26 | 2021 |
| 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 | 21 | 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 | 21 | 2019 |
| Learning Decision Trees Recurrently through Communication S Alaniz, D Marcos, Z Akata ICML XXAI Workshop, 2020 | 17* | 2020 |
| Contextual Semantic Interpretability D Marcos, R Fong, S Lobry, R Flamary, N Courty, D Tuia ACCV 2020, 2020 | 16 | 2020 |
| 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 | 16 | 2018 |
Devis TuiaEcole Polytechnique Fédérale de Lausanne (EPFL)Потвърден имейл адрес: epfl.ch
