To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
In this paper we apply state-of-the-art approach to object detection and localisation by incorporating local descriptors and their spatial configuration into a generative probabil...
Joni-Kristian Kamarainen, Miroslav Hamouz, Josef K...
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...
Volume rendering is a flexible technique for visualizing dense 3D volumetric datasets. A central element of volume rendering is the conversion between data values and observable q...
Aaron E. Lefohn, Charles D. Hansen, Emil Praun, Jo...
We propose Satisfiability Checking (SAT) techniques that lead to a consistent performance improvement of up to 3x over state-ofthe-art SAT solvers like Chaff on important problem ...
Malay K. Ganai, Pranav Ashar, Aarti Gupta, Lintao ...