Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
Many modern visual recognition algorithms incorporate a step of spatial `pooling', where the outputs of several nearby feature detectors are combined into a local or global `...
— Despite its low-complexity, the zero-forcing receiver is known to suffer from noise enhancement to restore the spatially multiplexed data in a single-user MIMO system. Neverthe...
Abstract. As part of an architectural modeling project, this paper investigates the problem of understanding and manipulating images of buildings. Our primary motivation is to auto...
It is well known that a compression trade-off exists between the spatial and temporal video quality. Various temporal scalability techniques have been considered for lowering the ...
Mark A. J. Barzilay, Jacco R. Taal, Reginald L. La...