Dr Christian Rupprecht is a Departmental Lecturer in Computer Vision at the Visual Geometry Group at the Department for Engineering Science.
He received his PhD from the Technical University of Munich in Germany advised by Nassir Navab and Gregory D. Hager (JHU) where he also spent some time at the Mila Institute in Montreal working on AI safety with Christopher Pal.
Dr Rupprecht is interested in self-supervised and minimally supervised learning for computer vision. More specifically, his focus is on reducing the amount of human supervision that is needed to train neural networks for various tasks such as geometry estimation and representation learning.
Awards and Prizes
We recieved the Best Paper Awared at the Conference on Coputer Vision and Pattern Recognition (CVPR) 2020 with out paper
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
Shangzhe Wu (University of Oxford), Christian Rupprecht (University of Oxford); Andrea Vedaldi (University of Oxford)