Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...
Boosting is a remarkably simple and flexible classification algorithm with widespread applications in computer vision. However, the application of boosting to nonEuclidean, infini...
Compressed domain image processing techniques are becoming increasingly important. Compressed domain retrieval It allows the calculation of image features and hence content-based ...
In this paper we present a video communication system that integrates end-to-end buffer management and congestion control at the source with the playout adjustment mechanism at th...
Ivan V. Bajic, Omesh Tickoo, Anand Balan, Shivkuma...
Human interfaces for computer graphics systems are now evolving towards a total multi-modal approach. Information gathered using visual, audio and motion capture systems are now b...
Taro Goto, Marc Escher, Christian Zanardi, Nadia M...