Pascal Fua, Mathieu Salzmann, Raquel Urtasun, Aydin Varol
Latent variable models provide valuable compact representations for learning and inference in many computer vision tasks. However, most existing models cannot directly encode prior knowledge about the specific problem at hand. In this paper, we introduce a ...
Ieee2012