1 citations · 1 across the 2 of their papers we have counts for
3 papers
Stitching and dimensionality effects on large artificially generated volume datasets
Lucas von Chamier, Jan Philipp Albrecht, Dagmar Kainmüller
Generating large images via deep learning requires patching input data to accommodate hardware memory limitations, then assembling output patches, a process that can introduce stit…
Crowd Sourcing Image Segmentation with iaSTAPLE
Dmitrij Schlesinger, Florian Jug, Gene Myers +2
We propose a novel label fusion technique as well as a crowdsourcing protocol to efficiently obtain accurate epithelial cell segmentations from non-expert crowd workers. Our label…
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching
Paul Swoboda, Carsten Rother, Hassan Abu Alhaija +2
We study the quadratic assignment problem, in computer vision also known as graph matching. Two leading solvers for this problem optimize the Lagrange decomposition duals with sub-…