Jamie Shotton

Jamie Shotton

I am a Senior Researcher in the Computer Vision and Machine Learning and Perception groups at Microsoft Research in Cambridge, UK.  My research focuses at the intersection of machine learning, vision, and graphics, with particular emphasis on human pose estimation.


Research Highlights


For work before I joined MSR, please see my external site.

Short Biography

Jamie Shotton studied Computer Science at the University of Cambridge, where he remained for his PhD in Computer Vision and Visual Object Recognition. He joined Microsoft Research in 2008 where he is now a Senior Researcher in the Machine Learning & Perception group. His research focuses at the intersection of vision, graphics, and machine learning, with particular interests including human pose and shape estimation, object recognition, gesture and action recognition, and medical imaging. He has received multiple Best Paper and Best Demo awards at top academic conferences. His work on machine learning for body part recognition for Kinect was awarded the Royal Academy of Engineering's gold medal MacRobert Award 2011, and he shares Microsoft's Outstanding Technical Achievement Award for 2012 with the Kinect engineering team. In 2014 he received the PAMI Young Researcher Award.