Carl Doersch
Scholar

Carl Doersch

Google Scholar ID: SBTxvCoAAAAJ
Google DeepMind
Computer VisionMachine Learning
Citations & Impact
All-time
Citations
22,960
 
H-index
29
 
i10-index
33
 
Publications
20
 
Co-authors
55
list available
Resume (English only)
Academic Achievements
  • Received a Google Fellowship to support his Ph.D. studies.
Research Experience
  • Currently a staff research scientist at DeepMind, working closely with Andrew Zisserman. During his Ph.D., he conducted research on computer vision at CMU.
Education
  • Graduated from Carnegie Mellon University (CMU) in 2010 with a B.S. in Computer Science and Cognitive Science, minoring in Neural Computation; completed his Ph.D. at the Machine Learning Department of CMU, advised by Alyosha Efros and Abhinav Gupta.
Background
  • Interested in computer vision, self-supervised learning, motion understanding, and robotics applications. Aims to learn better representations from large-scale real-world and synthetic data, particularly through point tracking in videos for 3D and physics understanding.