Diego Marcos
Title
Cited by
Cited by
Year
Rotation equivariant vector field networks
D Marcos, M Volpi, N Komodakis, D Tuia
International Conference on Computer Vision (ICCV), 2017
1102017
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
822018
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
812016
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
742018
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
622018
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
342016
Geospatial Correspondences for Multimodal Registration
D Marcos, R Hamid, D Tuia
Computer Vision and Pattern Recognition (CVPR), 2016
232016
Scale equivariance in CNNs with vector fields
D Marcos, B Kellenberger, S Lobry, D Tuia
ICML Workshops, 2018
172018
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
132019
Weakly supervised alignment of multisensor images
DM Gonzalez, G Camps-Valls, D Tuia
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015
72015
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 Falcão, D Tuia
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
62018
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
62018
Compressed imaging by sparse random convolution
D Marcos, T Lasser, A López, A Bourquard
Optics express 24 (2), 1269-1290, 2016
62016
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
42019
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 Conference on Computer Vision and Pattern …, 2019
42019
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
42015
RSVQA: Visual Question Answering for Remote Sensing Data
S Lobry, D Marcos, J Murray, D Tuia
IEEE Transactions on Geoscience and Remote Sensing, 2020
32020
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
32018
Novelty detection in very high resolution urban scenes with Density Forests
C Wendl, D Marcos, D Tuia
2019 Joint Urban Remote Sensing Event (JURSE), 1-4, 2019
22019
Best practices to train deep models on imbalanced datasets—a case study on animal detection in aerial imagery
B Kellenberger, D Marcos, D Tuia
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
22018
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