2 papers
cs.CV2026
Noise-Robust Conditional Flow Matching: Generating Clean Samples from Noisy Datasets
Adrian UrbaÅski, Adrian Urbański, Gabriel della Maggiora +1
Generative models learn the statistical properties of their training data, so high-quality generation depends on clean and representative datasets. In scientific imaging, acquisiti…
cs.CV2025
Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects
Trina De, Adrian Urbanski, Artur Yakimovich
Biomedical images often contain objects known to be spatially correlated or nested due to their inherent properties, leading to semantic relations. Examples include cell nuclei bei…