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.
Microsoft PhD Scholarship available at UCL.
The topic is "Vision-based Tracking of Quadrupeds", and will be an interdisciplinary project aimed at creating state of the art computer vision algorithms to enable real scientific advances in our understanding of animal locomotion. The student will be based at University College London, with close interactions with the Royal Veterinary College and Microsoft Research Cambridge. The ideal candidate will have: a strong mathematics background; solid programming skills; experience of 3D computer graphics, vision, continuous optimization, and ideally machine learning. More details including how to apply here.
CVPR 2014 Best Demo Honorable Mention Award for
Learning to be a Depth Camera (pdf coming soon)
Three papers at CVPR 2014:
- Our RetroDepth paper wins Best Paper Award at CHI 2014!
- Decision Jungles paper at NIPS 2013.
- Tutorial on Decision Forests and Fields at ICCV 2013.
- 7-Scenes RGB-D camera relocalization dataset now available!
- Decision Forests book including tutorial and software available here.
For work before I joined MSR, please see my external site.
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.