Building a spatially consistent model is a key functionality to endow a mobile robot with autonomy. Without an initial map or an absolute localization means, it requires to concurr...
Thomas Lemaire, Cyrille Berger, Il-Kyun Jung, Simo...
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
We propose a new loss function for discriminative learning of Markov random fields, which is an intermediate loss function between the sequential loss and the pointwise loss. We s...
A method is proposed to detect multi-part man-made or natural objects in complex images. It consists in first extracting simple curves and straight lines from the edge map. Then, ...
In this paper a completely automatic face recognition system is presented. It consists of two main modules: in the first, the facial fiducial points are localized, and in the seco...