I am a Associate Professor in Machine learning and Computer Vision t the University of Surrey,I am passionate about enabling and exploring how to make intelligent machines or computers that can be creative or understand their world. This ranges from research in intelligent creative arts such as style aware Inpainting and 4D performance capture. Through enabling machines to perceive and understand their surroundings with real-time accurate 3D human pose estimation for large-scale markerless motion capture for use both indoors and outdoors, complex realistic activity recognition and early work on tracking people on vast surveillance networks.I am interested in employing state of the art technologies using minimal specialist hardware by employing the latest modelling and learning techniques. I see this as a key enabler for future AR and VR experiences, allowing users to create, develop and enjoy immersive technologies through all the devices they own. I have published over 40 articles in the leading international vision conferences and journals, providing state of the art advancements in this field. Most recently, I've worked on the InnovateUK projects REFRAME and TotalCapture, leading advances in video-rate actor performance capture for use in film and games production. I'm also a member of the British Machine Vision Association (BMVA) Executive Committee and coordinate the national BMVA technical meetings. bringing together key expert from industry and academia to discuss and identify solutions to current problems in specialist areas of the computer vision and machine learning field