We present a machine learning framework that automatically generates a model set of landmarks for some class of registered 3D objects: here we use human faces. The aim is to repla...
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
Software systems are often complex in the number of features that are available through the user interface and consequently, the number of interactions that can occur. Such system...
We conducted two studies that demonstrate automatically generated interfaces can be more usable than interfaces created by human designers. The first study shows that users of aut...
Testing model transformations requires input models which are graphs of inter-connected objects that must conform to a meta-model and meta-constraints from heterogeneous sources su...