In this paper we present a new architecture for face recognition with a single reference image, which completely separates the training process from the recognition process. In th...
We propose a new method to quickly and accurately predict 3D positions of body joints from a single depth image, using no temporal information. We take an object recognition appro...
Jamie Shotton, Andrew Fitzgibbon, Mat Cook, Andrew...
The choice of the over-complete dictionary that sparsely represents data is of prime importance for sparse codingbased image super-resolution. Sparse coding is a typical unsupervi...
Abstract--In this paper we introduce a probabilistic approach of building extraction in remotely sensed images. To cope with data heterogeneity we construct a flexible hierarchical...
Three-dimensional depth information of a surface can be encoded in a two-dimensional image called single-image random-dotstereograms or, more widely known, autostereograms. It is ...