In the task of visual object categorization, semantic context can play the very important role of reducing ambiguity in objects' visual appearance. In this work we propose to...
Andrew Rabinovich, Andrea Vedaldi, Carolina Galleg...
As research in context recognition moves towards more maturity and real life applications, appropriate and reliable performance metrics gain importance. This paper focuses on the ...
We recently proposed a new and efficient next-bestview algorithm for 3D reconstruction of indoor scenes using active range sensing. We overcome the computation difficulty of evalu...
In this paper, we present an approach to improve the software architecture evaluation process by systematically extracting and appropriately documenting architecturally significan...
A new algorithm for context modeling of binary sources with application to video compression is presented. Our proposed method is based on a tree rearrangement and tree selection ...