2 papers
cs.LG2026
Data-Efficient Self-Supervised Algorithms for Fine-Grained Birdsong Analysis
Houtan Ghaffari, Lukas Rauch, Paul Devos
Research in bioacoustics, neuroscience, and linguistics often uses birdsong as a proxy to acquire knowledge across diverse areas. This requires audio models to annotate and parse t…
cs.CV2025
Multi-dataset synergistic in supervised learning to pre-label structural components in point clouds from shell construction scenes
Lukas Rauch, Thomas Braml
The significant effort required to annotate data for new training datasets hinders computer vision research and machine learning in the construction industry. This work explores ad…