11 citations · 11 across the 5 of their papers we have counts for
5 papers
Cross-Domain Transfer of Hyperspectral Foundation Models
Nick Theisen, Peer Neubert
Hyperspectral imaging (HSI) semantic segmentation typically relies on in-domain training, but limited data availability often restricts model performance in real-world applications…
Data-Efficient Spectral Classification of Hyperspectral Data Using MiniROCKET and HDC-MiniROCKET
Nick Theisen, Kenny Schlegel, Dietrich Paulus +1
The classification of pixel spectra of hyperspectral images, i.e. spectral classification, is used in many fields ranging from agricultural, over medical to remote sensing applicat…
Towards Zero-Shot Terrain Traversability Estimation: Challenges and Opportunities
Ida Germann, Mark O. Mints, Peer Neubert
Terrain traversability estimation is crucial for autonomous robots, especially in unstructured environments where visual cues and reasoning play a key role. While vision-language m…
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios
Nick Theisen, Robin Bartsch, Dietrich Paulus +1
Semantic segmentation is an essential step for many vision applications in order to understand a scene and the objects within. Recent progress in hyperspectral imaging technology e…
HealthWalk: Promoting Health and Mobility through Sensor-Based Rollator Walker Assistance
Ivanna Kramer, Kevin Weirauch, Sabine Bauer +2
Rollator walkers allow people with physical limitations to increase their mobility and give them the confidence and independence to participate in society for longer. However, roll…