From the 1 of 2 linked papers with an AI index.
2 papers
cs.CV2026
Quasi-SVD: Learning a Lie-constrained matrix factorisation for real-time imaging
Christopher Hahne
The paper proposes Quasi‑SVD, a differentiable matrix factorisation that enforces orthogonality on a single Lie‑parameterized factor, enabling fully parallel GPU computation and ac…
cs.CV2025
Physically Consistent Image Augmentation for Deep Learning in Mueller Matrix Polarimetry
Christopher Hahne, Omar Rodriguez-Nunez, Ãléa 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…