3 papers
cs.LG2024
Open Problem: Active Representation Learning
Nikola Milosevic, Gesine Müller, Jan Huisken +1
In this work, we introduce the concept of Active Representation Learning, a novel class of problems that intertwines exploration and representation learning within partially observ…
cs.CV2023
Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image Restoration
Tomáš Chobola, Gesine Müller, Veit Dausmann +4
Non-blind deconvolution aims to restore a sharp image from its blurred counterpart given an obtained kernel. Existing deep neural architectures are often built based on large datas…
eess.IV2023
BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior
Yu Liu, Gesine Muller, Nassir Navab +3
Light-sheet fluorescence microscopy (LSFM), a planar illumination technique that enables high-resolution imaging of samples, experiences defocused image quality caused by light sca…