Machine Learning for Earth Observation
In Conjunction with the ECML/PKDD 2021
Virtual, September 17, 2021
The workshop will be fully virtual via Zoom platform.
The workshop will be fully virtual via Zoom platform.
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FULL PROGRAM - Friday, September 17, 2021
FULL PROGRAM - Friday, September 17, 2021
9h15 - 9h30 Welcome
9h15 - 9h30 Welcome
9h30 - 10h45 Invited Talk: Prof. Begüm Demir, Deep Earth Query: Information Discovery from Big Earth Observation Data Archives [slides]
9h30 - 10h45 Invited Talk: Prof. Begüm Demir, Deep Earth Query: Information Discovery from Big Earth Observation Data Archives [slides]
10h45 - 11h00 Break
10h45 - 11h00 Break
11h00 - 12h00 First Session
11h00 - 12h00 First Session
Christel Chappuis, Sylvain Lobry, Benjamin Kellenberger, Bertrand Le Saux and Devis Tuia. How to find a good image-text embedding for remote sensing visual question answering? [paper] [slides]
Sudipan Saha, Lichao Mou, Muhammad Shahzad and Xiao Xiang Zhu. Segmentation of VHR EO Images using Unsupervised Learning [paper]
14h30 - 15h30 Second Session
14h30 - 15h30 Second Session
Mihailo Obrenović, Thomas Lampert, François Monde-Kossi, Miloš Ivanovic and Pierre Gançarski. SS-HIDA: Semi-Supervised Heterogeneous Image Domain Adaptation [paper] [slides]
Matthew Gibson and Arcot Sowmya. Semi-supervised Siamese Networks for Change Recognition with VHR Imagery [paper] [slides]
15h30 - 15h45 Break
15h30 - 15h45 Break
15h45 - 17h00 Prof. Gustau Camps-Valls, Fitting is not enough: Interpretability and causal inference for the Earth sciences [slides]
15h45 - 17h00 Prof. Gustau Camps-Valls, Fitting is not enough: Interpretability and causal inference for the Earth sciences [slides]
17h00 - 17h15 Discussion and Closing
17h00 - 17h15 Discussion and Closing