Scholar
Jan Eric Lenssen
Google Scholar ID: enXCzCgAAAAJ
Max Planck Institute for Informatics; Kumo.ai
Citations & Impact
Citations
11,239
H-index
20
i10-index
28
Publications
20
Co-authors
36
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Recipient of the DAGM German Pattern Recognition Award (2025), Emmy Noether Grant (2025), and ECVA PhD Award (2024). Multiple papers accepted by top conferences such as NeurIPS, ICCV, CVPR, ICML, etc.
Research Experience
- Senior Researcher at Max-Planck-Institute for Informatics, leading the Geometric Representation Learning (GRL) group. Research areas include efficient neural fields for volumetric representation, processing of irregular structured and sparse data, generative models for spatial reasoning, etc.
Background
- Research interests lie at the intersection of computer vision, computer graphics, and machine learning, focusing on representations and algorithms for perception and inference in the 3D world. Aims to replicate human ability to derive complete representations from incomplete observations through efficient machine learning algorithms that compress information from large datasets and use it for inference.
Miscellany
- Offers PhD positions, Master thesis topics, and HiWi positions for students from University of Saarland.
