5 citations · 6 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts
Svetlana Kutuzova, Oswin Krause, Douglas McCloskey +2
Multimodal generative models should be able to learn a meaningful latent representation that enables a coherent joint generation of all modalities (e.g., images and text). Many app…
A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model
Steffen Czolbe, Oswin Krause, Ingemar Cox +1
To train Variational Autoencoders (VAEs) to generate realistic imagery requires a loss function that reflects human perception of image similarity. We propose such a loss function…
The Hessian Estimation Evolution Strategy
Tobias Glasmachers, Oswin Krause
We present a novel black box optimization algorithm called Hessian Estimation Evolution Strategy. The algorithm updates the covariance matrix of its sampling distribution by direct…