Devis Tuia
Identifiers
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Papers (25)
- Adaptive Compression-based Lifelong Learning cs.CV · 2019 · author #4
- Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning cs.CV · 2019 · author #4
- Understanding urban landuse from the above and ground perspectives: a deep learning, multimodal solution cs.CV · 2019 · author #3
- Correcting rural building annotations in OpenStreetMap using convolutional neural networks cs.CV · 2019 · author #4
- Decision fusion with multiple spatial supports by conditional random fields eess.IV · 2018 · author #1
- Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images cs.CV · 2018 · author #2
- Scale equivariance in CNNs with vector fields cs.CV · 2018 · author #4
- Change Detection between Multimodal Remote Sensing Data Using Siamese CNN cs.CV · 2018 · author #4
- Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning cs.CV · 2018 · author #3
- DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images cs.CV · 2018 · author #8
- DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation cs.CV · 2018 · author #4
- Learning deep structured active contours end-to-end cs.CV · 2018 · author #2
- Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models cs.CV · 2018 · author #4
- Optimal Transport for Multi-source Domain Adaptation under Target Shift stat.ML · 2018 · author #4
- Deep learning in remote sensing: a review cs.CV · 2017 · author #2
- Detecting animals in African Savanna with UAVs and the crowds cs.CV · 2017 · author #4
- Towards seamless multi-view scene analysis from satellite to street-level cs.CV · 2017 · author #2
- Rotation equivariant vector field networks cs.CV · 2016 · author #4
- Dense semantic labeling of sub-decimeter resolution images with convolutional neural networks cs.CV · 2016 · author #2
- Non-convex regularization in remote sensing stat.ML · 2016 · author #1
- Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions stat.ML · 2016 · author #1
- Learning rotation invariant convolutional filters for texture classification cs.CV · 2016 · author #3
- Principal Polynomial Analysis stat.ML · 2016 · author #3
- Kernel Manifold Alignment stat.ML · 2015 · author #1
- Advances in Hyperspectral Image Classification: Earth monitoring with statistical learning methods cs.CV · 2013 · author #2
Mentions
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Frequent Coauthors
- Diego Marcos 7 shared papers
- Michele Volpi 7 shared papers
- Benjamin Kellenberger 6 shared papers
- Nicolas Courty 3 shared papers
- R\'emi Flamary 3 shared papers
- Sylvain Lobry 3 shared papers
- Gustau Camps-Valls 2 shared papers
- John E. Vargas-Mu\~noz 2 shared papers
- Shivangi Srivastava 2 shared papers
- Ahmed Samy Nassar 1 shared papers
- Alexandre X. Falc\~ao 1 shared papers
- Bharath Bhushan Damodaran 1 shared papers
- David Lindenbaum 1 shared papers
- Feng Xu 1 shared papers
- Forest Hughes 1 shared papers
- Friedrich Fraundorfer 1 shared papers
- Gabriele Moser 1 shared papers
- George Vosselman 1 shared papers
- Guan Pang 1 shared papers
- Gui-Song Xia 1 shared papers