11 citations · 11 across the 5 of their papers we have counts for
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cs.CV2026
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…
cs.CV2025
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…
cs.CV2024★ 11 cited
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…