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, and remained at Cambridge 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 interests include human pose and shape estimation, object recognition, machine learning, gesture and action recognition, and medical imaging. His work on machine learning for body part recognition for Kinect was awarded the Best Paper award at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2011, and the Royal Academy of Engineering's MacRobert Award 2011. He and the Kinect team received Microsoft's Outstanding Technical Achievement Award in 2012.