Scholar
Jamie Shotton
Google Scholar ID: eSOXB6IAAAAJ
Wayve
Citations & Impact
Citations
23,720
H-index
54
i10-index
136
Publications
20
Co-authors
40
list available
Contact
Resume (English only)
Academic Achievements
- Recipient of multiple Best Paper and Best Demo awards at top-tier academic conferences; Longuet-Higgins Prize (test-of-time award) at CVPR 2021; Royal Academy of Engineering's MacRobert Award in 2011 for work on Kinect; shared Microsoft’s Outstanding Technical Achievement Award for 2012 with the Kinect engineering team; PAMI Young Researcher Award in 2014; MIT Technology Review Innovator Under 35 Award in 2015; Royal Academy of Engineering Silver Medal in 2020; Elected Fellow of the Royal Academy of Engineering in 2021.
Research Experience
- Former Partner Director of Science at Microsoft and head of the Mixed Reality & AI Labs, where he shipped key features such as body tracking for Kinect and hand- and eye-tracking for HoloLens 2.
Education
- PhD in Computer Vision and Machine Learning from the Department of Engineering, University of Cambridge, 2007; MA in Computer Science from Queens' College, University of Cambridge, 2001.
Background
- Research interests include Artificial Intelligence, Computer Vision, Machine Learning, Autonomous Driving, Robotics, Mixed Reality, and Graphics. Currently the Chief Scientist at Wayve, working on developing foundational models for safe and adaptable autonomous vehicles.
