A SAT-based incremental, inductive algorithm for model checking CTL properties is proposed. As in classic CTL model checking, the parse graph of the property shapes the analysis. H...
Matching patches between two images, also known as computing nearest-neighbor fields, has been proven a useful technique in various computer vision/graphics algorithms. But this ...
Image blur and noise are difficult to avoid in many situations
and can often ruin a photograph. We present a novel
image deconvolution algorithm that deblurs and denoises
an ima...
C. Lawrence Zitnick, David J. Kriegman, Neel Joshi...
Kernel machines have recently been considered as a promising solution for implicit surface modelling. A key challenge of machine learning solutions is how to fit implicit shape mo...
We present a new Gaussian Process inference algorithm, called Online Sparse Matrix Gaussian Processes (OSMGP), and demonstrate its merits with a few vision applications. The OSMGP ...