Abstract: Model based testing promises systematic test coverage in a continuous testing process. However, in practice, model based testing struggles with informal specifications, d...
A well-built dataset is a necessary starting point for advanced computer vision research. It plays a crucial role in evaluation and provides a continuous challenge to stateof-the-...
Reference picture selection (RPS) is the most common error resilience method for robust transmission over lossy networks. However, RPS has been studied for use in realtime encodin...
Abstract. We propose a hierarchical process for inferring the 3D pose of a person from monocular images. First we infer a learned view-based 2D body model from a single image using...
Domain specific aspect languages (DSALs) are becoming more popular because they can be designed to represent recurring concerns in a way that is optimized for a specific domain. H...