50 citations · 86 across the 7 of their papers we have counts for
3 papers · 1 filter
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems
Adam Kortylewski, Bernhard Egger, Andreas Schneider +3
It is unknown what kind of biases modern in the wild face datasets have because of their lack of annotation. A direct consequence of this is that total recognition rates alone only…
Morphable Face Models - An Open Framework
Thomas Gerig, Andreas Morel-Forster, Clemens Blumer +4
In this paper, we present a novel open-source pipeline for face registration based on Gaussian processes as well as an application to face image analysis. Non-rigid registration of…
Greedy Structure Learning of Hierarchical Compositional Models
Adam Kortylewski, Aleksander Wieczorek, Mario Wieser +5
In this work, we consider the problem of learning a hierarchical generative model of an object from a set of images which show examples of the object in the presence of variable ba…