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20242026
most citedBoosting Few-Shot Detection with Large Language Models and Layout-to-Image Synthesis

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cs.CV2026

SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification

Alexander Musiat, Nikolas Ebert, Oliver Wasenmüller

Hyperspectral imaging enables fine-grained recognition of materials by capturing rich spectral signatures, but learning robust classifiers is challenging due to high dimensionality…

cs.CV2026

Spatial self-supervised Peak Learning and correlation-based Evaluation of peak picking in Mass Spectrometry Imaging

Philipp Weigand, Nikolas Ebert, Shad A. Mohammed +3

Mass spectrometry imaging (MSI) enables label-free visualization of molecular distributions across tissue samples but generates large and complex datasets that require effective pe…