2 papers
cs.CV2026
SWITi: Quantifying and Reducing Tiling Artifacts with Sliding Window Inner Tiling
Federico Carrara, Aman Kukde, Melisande Croft +2
SWITi is a test-time method for reducing artifacts in tiled predictions, particularly for neural networks that learn posterior distributions from which solutions are sampled at inf…
cs.CV2026
λSplit: Self-Supervised Content-Aware Spectral Unmixing for Fluorescence Microscopy
Federico Carrara, Talley Lambert, Mehdi Seifi +1
In fluorescence microscopy, spectral unmixing aims to recover individual fluorophore concentrations from spectral images that capture mixed fluorophore emissions. Since classical m…