This paper addresses scene understanding in the context of a moving camera, integrating semantic reasoning ideas from monocular vision with 3D information available through struct...
The Kahn Process Network (KPN) model is a widely used modelof-computation to specify and map streaming applications onto multiprocessor systems-on-chips. In general, KPNs are difï...
We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference...
—We propose a novel method to evaluate table segmentation results based on a table image ground truther. In the ground-truthing process, we ï¬rst extract connected components fr...
— A very fast but nevertheless accurate approach for surface extraction from noisy 3D point clouds is presented. It consists of two parts, namely a plane ï¬tting and a polygonal...
Jann Poppinga, Narunas Vaskevicius, Andreas Birk 0...