5 citations · 6 across the 3 of their papers we have counts for
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Spot the Difference: Detection of Topological Changes via Geometric Alignment
Steffen Czolbe, Aasa Feragen, Oswin Krause
Geometric alignment appears in a variety of applications, ranging from domain adaptation, optimal transport, and normalizing flows in machine learning; optical flow and learned aug…
Is segmentation uncertainty useful?
Steffen Czolbe, Kasra Arnavaz, Oswin Krause +1
Probabilistic image segmentation encodes varying prediction confidence and inherent ambiguity in the segmentation problem. While different probabilistic segmentation models are des…
DeepSim: Semantic similarity metrics for learned image registration
Steffen Czolbe, Oswin Krause, Aasa Feragen
We propose a semantic similarity metric for image registration. Existing metrics like euclidean distance or normalized cross-correlation focus on aligning intensity values, giving…