2 papers
cs.CV2025
ShapeEmbed: a self-supervised learning framework for 2D contour quantification
Anna Foix Romero, Craig Russell, Alexander Krull +1
The shape of objects is an important source of visual information in a wide range of applications. One of the core challenges of shape quantification is to ensure that the extracte…
eess.IV2025
Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise
Benjamin Salmon, Alexander Krull
Accurate analysis of microscopy images is hindered by the presence of noise. This noise is usually signal-dependent and often additionally correlated along rows or columns of pixel…