2 papers
cs.CV2026
Quasi-SVD: Learning a Lie-constrained matrix factorisation for real-time imaging
Christopher Hahne
Singular Value Decomposition (SVD) underlies matrix factorisation tasks across computational imaging, with medical applications increasingly demanding real-time processing. Yet SVD…
cs.CV2024
Physically Consistent Image Augmentation for Deep Learning in Mueller Matrix Polarimetry
Christopher Hahne, Omar Rodriguez-Nunez, Éléa Gros +6
Mueller matrix polarimetry captures essential information about polarized light interactions with a sample, presenting unique challenges for data augmentation in deep learning due…