Abstract. We propose a novel method for unsupervised class segmentation on a set of images. It alternates between segmenting object instances and learning a class model. The method...
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...
Abstract— This paper presents an experimental evaluation of the latency performance of several implementations of Simple Object Access Protocol (SOAP) operating over HTTP, and co...
Abstract— Families of differential operators, like those defining affine, generally nonlinear, control systems are known to have natural Hopf algebra structures. These provide ...
Abstract. We present an active surface model designed for the segmentation of Drosophila Schneider cell nuclei and nucleoli from wide-field microscopic data. The imaging technique...
Margret Keuper, Jan Padeken, Patrick Heun, Hans Bu...