The full list of publications in which I've been involved can be found in Google Scholar.
Marcos, D., Potze, A., Xu, W., Tuia, D. and Akata, Z.; Attribute Prediction as Multiple Instance Learning. Transactions on Machine Learning Research, (2022) [pdf]
Alaniz, S., Mancini, M., Dutta, A., Marcos, D. and Akata, Z.; Abstracting sketches through simple primitives. European Conference on Computer Vision (ECCV), (2022) [pdf]
Havinga, I., Marcos, D., Bogaart, P.W., Hein, L. and Tuia, D.; Social media and deep learning capture the aesthetic quality of the landscape. Scientific reports, 11(1), p.20000, (2021) [pdf]
Alaniz, S., Marcos, D., Schiele, B. and Akata, Z.; Learning decision trees recurrently through communication. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (2021).
Masolele, R.N., De Sy, V., Herold, M., Marcos, D., Verbesselt, J., Gieseke, F., Mullissa, A.G. and Martius, C.; Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series. Remote Sensing of Environment, 264, p.112600, (2021) [pdf]
Kellenberger, B., Marcos, D., Lobry, S. and Tuia, D.; Half a percent of labels is enough: Efficient animal detection in UAV imagery using deep CNNs and active learning. IEEE Transactions on Geoscience and Remote Sensing, 57(12), pp.9524-9533, (2019) [pdf]
Marcos, D., Tuia, D., Kellenberger, B., Zhang, L., Bai, M., Liao, R., Urtasun, R.; Learning deep structured active contours end-to-end, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (2018) [pdf]
Marcos, D., Volpi, M., Kelenberger, B., Tuia, D.; Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models, ISPRS Journal of Photogrametry and Remote Sensing, (2018) [pdf]
Marcos, D., Volpi, M., Komodakis, N., Tuia, D.; Rotation equivariant vector field networks, IEEE/CVF International Conference on Computer Vision (ICCV), (2017) [pdf]
Marcos, D., Volpi, M., Tuia, D.; Learning rotation invariant convolutional filters for texture classification, IEEE International Conference on Pattern Recognition (ICPR), (2016) [pdf]
Marcos, D., Hamid, R., Tuia, D.; Geospatial Correspondences for Multimodal Registration, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (2016) [pdf]
Marcos, D., Volpi, M., Tuia, D.; Solving structured segmentation of aerial images as puzzles, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), (2016) [pdf]
Marcos, D., Lasser, T. , López, A., Bourquard, A.; Compressed imaging by sparse random convolution, Optics Express, Vol. 24, Issue 2, pp. 1269-1290 (2016) [pdf]