50 citations · 84 across the 20 of their papers we have counts for
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cs.CV2017
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…
cs.CV2017
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…