Pushmeet Kohli

From Wikipedia, the free encyclopedia
Pushmeet Kohli
Alma materTrinity Hall, University of Cambridge
Oxford Brookes University
National Institute of Technology, Warangal
OccupationComputer scientist

Pushmeet Kohli is a computer scientist at Google DeepMind where he heads the "Robust and Reliable AI" and "AI for Science" teams. Before joining DeepMind, he was partner scientist and director of research at Microsoft Research. Pushmeet conducts research in the field of machine learning and computer vision. However, he has also made contributions in game theory, discrete algorithms and psychometrics.[1] He is the recipient of the Sullivan Prize. His papers have received awards at UAI 2018,[2] CVPR 2015, WWW 2014,[3] ISMAR 2011 and ECCV 2010.[4]

Some Notable Projects[]

  • Robust and Reliable AI [5]
  • Neural Program Synthesis [6]
  • Probabilistic Programming [7]
  • 3D scene reconstruction and understanding.
  • MAP Inference in Higher Order Graphical Models.
  • Community based Crowdsourcing of Data for Training AI Models[8]
  • Behavioral analysis and Personality prediction using on Online networks[9][10]
  • Human Pose Estimation using the Kinect[11]
  • Video Editing (Unwrap Mosaics)[12]

References[]

  1. ^ Parmy Olson (12 October 2011). "Microsoft Uses Facebook As Giant 'Lab' To Study Game Theory". Forbes.
  2. ^ "Uncertainty in Artificial Intelligence". UAI. Retrieved 2019-12-26.
  3. ^ "안녕하세요!". www2014.
  4. ^ "ECCV 2010, 11th European Conference on Computer Vision - awards". forth.gr.
  5. ^ "Towards Robust and Verified AI: Specification Testing, Robust Training, and Formal Verification". Deepmind. Retrieved 2019-12-26.
  6. ^ "Neural Program Synthesis". Microsoft Research. Retrieved 2019-12-26.
  7. ^ "Picture: A Probabilistic Programming Language for Scene Perception". mrkulk.github.io. Retrieved 1 August 2015.
  8. ^ "MSDN Blogs". Microsoft.
  9. ^ "Research Games - Microsoft Research". microsoft.com. Microsoft.
  10. ^ http://research.microsoft.com/en-us/um/people/pkohli/papers/kskbg_acmwebsci_2012.pdf
  11. ^ "Human Pose Estimation for Kinect".
  12. ^ "Unwrap Mosaics". microsoft.com. Microsoft.
Retrieved from ""