Andrea Vedaldi, University of Oxford
In this talk, Andrea will give an overview of the artificial intelligence and computer vision research being done by the Oxford Visual Geometry Group. He will show examples of object recognition, counting, text spotting, face verification, and many others. He will also demonstrate how much of their research work is done using Parallel Computing Toolbox™ on a large cluster of GPU-equipped computation servers. The University of Oxford builds and maintains their MATLAB® based deep learning library, MatConvNet. A spiritual successor to their earlier VLFeat project, this toolbox has been widely used in the computer vision community for almost a decade.