11 citations · 11 across the 1 of their papers we have counts for
2 papers
cs.CV2018★ 11 cited
Can Synthetic Faces Undo the Damage of Dataset Bias to Face Recognition and Facial Landmark Detection?
Adam Kortylewski, Bernhard Egger, Andreas Morel-Forster +5
It is well known that deep learning approaches to face recognition and facial landmark detection suffer from biases in modern training datasets. In this work, we propose to use syn…
cs.CV2017
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…