Sameh Khamis

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I am a Researcher in the Interactive 3D Technologies (I3D) group at Microsoft Research Redmond.

I received a PhD in computer science from the University of Maryland, where I worked with Larry Davis at the Institute for Advanced Computer Studies (UMIACS). In my thesis, I focused on modeling the contextual and spatiotemporal structure in activity recognition. During my PhD, I was a research intern at SRI International, Microsoft Research Cambridge, IST Austria, and Siemens Corporate Research. Before that, I received a MSc in computer science from the University of Western Ontario, where I was advised by Yuri Boykov.

I am interested in applying all aspects of statistical learning, probabilistic models, and discrete and continuous optimization in building large-scale, data-driven solutions for real-world computer vision and machine learning problems.

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Elsewhere:

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Links:

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Publications

Conference

Workshop

Talks

  • Learning an Efficient Model of Hand Shape Variation from Depth Images.
    UMD Computer Vision Student Seminars, College Park, MD. April, 2015.
  • What Recognizing Activities and Tracking Hands Have in Common.
    Microsoft Research, Redmond, WA. February, 2015.
  • Learning a Model of Hand Shape Variation from Depth Images.
    Microsoft Research, Cambridge, UK. September, 2014.
  • Combining Per-Frame and Per-Track Cues for Multi-Person Action Recognition.
    KU Leuven VISICS Group Seminar, Heverlee, Belgium. March, 2013.
  • Combining Per-Frame and Per-Track Cues for Multi-Person Action Recognition.
    IST Austria CV&ML Seminar, Klosterneuburg, Austria. March, 2013.
  • Combining Per-Frame and Per-Track Cues for Multi-Person Action Recognition.
    UMD Computer Vision Student Seminars, College Park, MD. September, 2012.
  • Person Re-Identification in Surveillance Scenarios via Attributes.
    Siemens Corporate Research, Princeton, NJ. August, 2012.
  • Energy Minimization with Graph Cuts.
    UMD Computer Vision Student Seminars, College Park, MD. February, 2012.
  • A Flow Model for Joint Action Recognition and Identity Maintenance.
    Siemens Corporate Research, Princeton, NJ. November, 2011.

Teaching

University of Maryland

  • [CMSC498F] Machine Learning - Lilyana Mihalkova (Fall '10)

University of Western Ontario

  • [CS1037a] Computer Science Fundamentals II (C++) - Yuri Boykov (Fall '09)
  • [CS1027a] Computer Science Fundamentals II (Java) - Aija Downing and Steven Beauchemin (Spring '08)
  • [CS1032a] Information Systems and Design - Diane Goldstein (Fall '08)
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