David Völgyes

According to our database, David Völgyes authored at least 7 papers between 2018 and 2024.

Collaborative distances:

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

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

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

CoRR, 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

Mitral Annulus Segmentation and Anatomical Orientation Detection in TEE Images Using Periodic 3D CNN.

Børge Solli Andreassen, David Völgyes, Eigil Samset, Anne H. Schistad Solberg

IEEE Access, 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

2018

A Weighted Histogram-Based Tone Mapping Algorithm for CT Images.

David Völgyes, Anne Catrine Trægde Martinsen, Arne Stray-Pedersen, Dag Waaler, Marius Pedersen

Algorithms, 2018

Image De-Quantization Using Plate Bending Model.

David Völgyes, Anne Catrine Trægde Martinsen, Arne Stray-Pedersen, Dag Waaler, Marius Pedersen

Algorithms, 2018