This paper discusses non-parametric regression between Riemannian manifolds. This learning problem arises frequently in many application areas ranging from signal processing, comp...
In order to deal with the heavy trend in size increase of volumetric datasets, research in isosurface extraction has focused in the past few years on related aspects such as surfa...
Guilhem Dupuy, Bruno Jobard, Sebastien Guillon, No...
Convex and continuous energy formulations for low level
vision problems enable efficient search procedures for the
corresponding globally optimal solutions. In this work we
exte...
Christopher Zach (UNC Chapel Hill), Marc Niethamme...
This paper demonstrates how to reduce the hand labeling effort considerably by 3D information in an object detection task. In particular, we demonstrate how an efficient car detec...
Stefan Kluckner, Georg Pacher, Helmut Grabner, Hor...
Segmentation has gained in popularity in stereo matching. However, it is not trivial to incorporate it in optical flow estimation due to the possible non-rigid motion problem. In t...