Daniele Fantin

According to our database, Daniele Fantin authored at least 5 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction From LiDAR Data With Limited Annotations.

Anuja Vats, David Völgyes, Martijn Vermeer, Marius Pedersen, Kiran B. Raja, Daniele S. M. Fantin, Jacob Alexander Hay

IEEE Trans. Geosci. Remote. Sens., 2024

Lidar-based Norwegian tree species detection using deep learning.

Martijn Vermeer, Jacob Alexander Hay, David Völgyes, Zsófia Koma, Johannes Breidenbach, Daniele Fantin

Proceedings of the Northern Lights Deep Learning Conference, 2024

2023

Solutions for the commercialization challenges of Horizon Europe and earth observation consortia: co-creation, innovation, decision-making, tech-transfer, and sustainability actions.

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

Electron. Commer. Res., September, 2023

Semi- and weak-supervised learning for Norwegian tree species detection.

Martijn Vermeer, David Völgyes, Tord Kriznik Sørensen, Heidrun Miller, Daniele Fantin

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

2022

CryoSat-2 waveform classification for melt event monitoring.

Martijn Vermeer, David Völgyes, Malcolm McMillan, Daniele Fantin

Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022