In this paper we propose a practical and efficient method for finding the globally optimal solution to the problem of pose estimation of a known object. We present a framework tha...
In this paper, we present a new framework to compress the geometry of images. This framework generalizes the standard quad partitioning approaches in compression of image geometry ...
Pre-processing algorithms improve the quality of a compression system by removing unimportant data before encoding. This enhances both the visual quality and coding efficiency of ...
C. Andrew Segall, Passant V. Karunaratne, Aggelos ...
Learning to rank is becoming an increasingly popular research area in machine learning. The ranking problem aims to induce an ordering or preference relations among a set of insta...
Although preliminary analysis frameworks point out the performance speed-ups achievable by on-chip networks with respect to state-of-the-art interconnects, the area concern remain...
Alberto Ferrante, Simone Medardoni, Davide Bertozz...