We propose novel algorithms for the detection, segmentation, recognition, and pose estimation of threedimensional objects. Our approach initially infers geometric primitives to de...
In this paper we propose a novel method for generic object localization. The method is based on modeling the object as a graph at two levels: a local substructural representation ...
We present the first tool that offers dynamic verification of extended traints on UML models. It translates a UML model into an Abstract State (ASM) which is transformed by an AS...
Abstract. Collections are omnipresent within models: collections of references can represent relations between objects, and collections of values can represent object attributes. C...
Salient areas in natural scenes are generally regarded as the candidates of attention focus in human eyes, which is the key stage in object detection. In computer vision, many mod...