I am a computer vision engineer at Meta's Reality Labs with a background in particle physics.

During my postdoc at EPFL, my research focused on the perception and prediction of pedestrians for self-driving to make autonomous cars behave more like human drivers. Selected publications:

  • MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation.
    Bertoni, Kreiss, Alahi. Presented at ICCV2019 in Seoul.
    paper   code    Follow ups ICRA2021    ITS 2021 (arXiv).
  • PifPaf: Composite Fields for Human Pose Estimation.
    Kreiss, Bertoni, Alahi. Presented at CVPR2019 in Los Angeles.
    paper   code    Follow ups ITS 2021 (arXiv)    ICCV2021.
  • Deep Social Force.
    Kreiss. Funded by the SNSF with a Spark project grant. 2021.
    paper   code
  • Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning.
    Chen, Liu, Kreiss, Alahi. Presented at ICRA2019 in Montreal.
    paper   code

Before my postdoc, I was the Senior Data Scientist at Sidewalk Labs (Alphabet) in New York City where I focused on machine learning for urban environments. My background is in particle physics where I hold a PhD from NYU and where I worked with Kyle Cranmer on physics and statistical analyses for ATLAS at CERN. I was on the core team that discovered the Higgs boson and the first person to see the 5σ threshold crossed. Selected publications:

  • Higgs Discovery: Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC.
    The ATLAS collaboration. Physics Letters B 716 (1), 2012, 1-29.
    paper   Science Breakthrough of the Year   my PhD thesis
    New York Times   New Yorker
  • The RooStats Project: The standard High Energy Physics statistics package.
    Moneta, Belasco, Cranmer, Kreiss, Lazzaro, Piparo, Schott, Verkerke, Wolf.
    PoS ACAT2010 057, 2010.
    paper   web

Me elsewhere: Google Scholar   GitHub   Twitter   LinkedIn

Email: me@svenkreiss.com