The goal of this paper is to present a computational framework that enables us to generate elementary speech act sequences in a dialogue between an electronic assistant and a compu...
Abstract. Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Ny...
Music alignment links events in a score and points on the audio performance time axis. All the parts of a recording can be thus indexed according to score information. The automat...
Abstract. We address the problem of articulated human pose estimation by learning a coarse-to-fine cascade of pictorial structure models. While the fine-level state-space of pose...
This paper presents an integrated framework for mobile street-level tracking of multiple persons. In contrast to classic tracking-by-detection approaches, our framework employs an ...