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2020 – today
- 2024
[j2]Anuja Vats
, David Völgyes, Martijn Vermeer, Marius Pedersen, Kiran B. Raja, Daniele S. M. Fantin, Jacob Alexander Hay:
Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction From LiDAR Data With Limited Annotations. IEEE Trans. Geosci. Remote. Sens. 62: 1-10 (2024)- [c3]Martijn Vermeer, Jacob Alexander Hay, David Völgyes, Zsófia Koma, Johannes Breidenbach, Daniele Fantin:
Lidar-based Norwegian tree species detection using deep learning. NLDL 2024: 228-234 - 2023
- [j1]Luis Filipe Lages, Nuno Catarino, Emanuel Gomes, Péter Tóh, Carlos Reis-Marques, Mario Mohr, Sebastian Max Borde, Omid Asgari, Ronnie Figueiredo, Nuno Grosso, David Perez, Ana Ponte, Sílvia Lopes Teixeira, Robin van der Schalie, Daniele Fantin, Jo Van Brusselen, Alireza Taravat, Gerd Schmidt:
Solutions for the commercialization challenges of Horizon Europe and earth observation consortia: co-creation, innovation, decision-making, tech-transfer, and sustainability actions. Electron. Commer. Res. 23(3): 1621-1663 (2023) - [c2]Martijn Vermeer, David Völgyes, Tord Kriznik Sørensen, Heidrun Miller, Daniele Fantin:
Semi- and weak-supervised learning for Norwegian tree species detection. NLDL 2023 - [i2]Anuja Vats, David Völgyes, Martijn Vermeer, Marius Pedersen, Kiran B. Raja, Daniele S. M. Fantin, Jacob Alexander Hay:
Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations. CoRR abs/2311.01188 (2023) - [i1]Martijn Vermeer, Jacob Alexander Hay, David Völgyes, Zsófia Koma, Johannes Breidenbach, Daniele Stefano Maria Fantin:
Lidar-based Norwegian tree species detection using deep learning. CoRR abs/2311.06066 (2023) - 2022
- [c1]Martijn Vermeer, David Völgyes, Malcolm McMillan, Daniele Fantin:
CryoSat-2 waveform classification for melt event monitoring. NLDL 2022
Coauthor Index
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