Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
Abstract. In the classic approach to logic model checking, software verification requires a manually constructed artifact (the model) to be written in the language that is accepted...
“Ghosts” arise in traditional background subtraction when an object starts to move, causing the exposed background to be labelled as a ghost foreground. With background model ...
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
In this paper the problem of obtaining 3D models from image sequences is addressed. The proposed method deals with uncalibrated monocular image sequences. No prior knowledge about...