Scholar
Lukas Drees
Google Scholar ID: NMoxWdsAAAAJ
University of Zurich
Citations & Impact
Citations
211
H-index
8
i10-index
7
Publications
19
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- During his PhD, his research focused on efficient learning on large-scale 3D point clouds and superpoint-based learning for scalable 3D semantic and panoptic segmentation.
Research Experience
- Joined the EcoVision Lab as a PostDoctoral researcher in February 2024; prior to this, he spent 2 years in industry working on 3D and 2D computer vision.
Education
- Received his PhD in 3D Deep Learning from Gustave Eiffel University in January 2024, where he worked at IGN (French mapping agency) and ENGIE lab CRIGEN.
Background
- His main interest is in leveraging remote sensing data for forest structure analysis and species distribution modeling, as well as 3D point cloud and 2D image analysis.
Co-authors