activity
20152022
most citedMapping oil palm density at country scale: An active learning approach

41 citations · 109 across the 14 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 1 cited

Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations

Nando Metzger, Mehmet Ozgur Turkoglu, Stefano D'Aronco +2

Optical satellite sensors cannot see the Earth's surface through clouds. Despite the periodic revisit cycle, image sequences acquired by Earth observation satellites are therefore…

cs.CV2020★ 20 cited

Deep Active Learning in Remote Sensing for data efficient Change Detection

Vít Růžička, Stefano D'Aronco, Jan Dirk Wegner +1

We investigate active learning in the context of deep neural network models for change detection and map updating. Active learning is a natural choice for a number of remote sensin…

cs.CV2020

Water level prediction from social media images with a multi-task ranking approach

P. Chaudhary, S. D'Aronco, J. P. Leitao +2

Floods are among the most frequent and catastrophic natural disasters and affect millions of people worldwide. It is important to create accurate flood maps to plan (offline) and c…

cs.CV2020★ 1 cited

GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end

Ahmed Samy Nassar, Stefano D'Aronco, Sébastien Lefèvre +1

In this paper we propose an end-to-end learnable approach that detects static urban objects from multiple views, re-identifies instances, and finally assigns a geographic position…

cs.CV2020

Fine-grained Species Recognition with Privileged Pooling: Better Sample Efficiency Through Supervised Attention

Andres C. Rodriguez, Stefano D'Aronco, Konrad Schindler +1

We propose a scheme for supervised image classification that uses privileged information, in the form of keypoint annotations for the training data, to learn strong models from sma…