We address the problem of reconstructing 3D face models from large unstructured photo collections, e.g., obtained by Google image search or from personal photo collections in iPho...
In this paper we present a new compressed sensing model and reconstruction method for multi-detector signal acquisition. We extend the concept of the famous single-pixel camera to...
Torsten Edeler, Kevin Ohliger, Stephan Hussmann, A...
This paper addresses the problem of superresolution from low resolution spherical images that are not perfectly registered. Such a problem is typically encountered in omnidirectio...
We present a physical phantom designed for fibre tractography validation and use it to evaluate tracking algorithms that employ (a) the classic diffusion tensor model of diffusion...
Jennifer S. W. Campbell, Peter Savadjiev, Kaleem S...
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...