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Diego Marcos
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Rotation equivariant vector field networks
D Marcos, M Volpi, N Komodakis, D Tuia
International Conference on Computer Vision (ICCV), 2017
1882017
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
1712018
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
1532018
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
1382016
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
1212018
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
622019
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
512016
Scale equivariance in CNNs with vector fields
D Marcos, B Kellenberger, S Lobry, D Tuia
ICML Workshops, 2018
392018
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
352020
Geospatial Correspondences for Multimodal Registration
D Marcos, R Hamid, D Tuia
Computer Vision and Pattern Recognition (CVPR), 2016
322016
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
312020
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
272021
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
182019
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
162018
Learning Decision Trees Recurrently through Communication
S Alaniz, D Marcos, Z Akata
ICML XXAI Workshop, 2020
15*2020
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
152019
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
132020
Compressed imaging by sparse random convolution
D Marcos, T Lasser, A López, A Bourquard
Optics Express 24 (2), 1269-1290, 2016
132016
Contextual Semantic Interpretability
D Marcos, R Fong, S Lobry, R Flamary, N Courty, D Tuia
ACCV 2020, 2020
112020
Self-supervised pre-training enhances change detection in Sentinel-2 imagery
M Leenstra, D Marcos, F Bovolo, D Tuia
International Conference on Pattern Recognition, 578-590, 2021
102021
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