Sung Hee Park

  • Apple Inc.
    		•
    Vision and Imaging Architect
  • Stanford University
    		•
    Computer Graphics Laboratory, Electrical Engineering
  • Contact Info
    		•
    shpark7 [at] graphics [dot] stanford [dot] edu
    About Me
    As of August 2014, I'm working at Apple in Cupertino.
    While at Stanford, I was a PhD student in the Electrical Engineering Department at Stanford University, advised by Marc Levoy.
    My research interest lies in computational photography and computer vision.
    Education
  • Stanford University   CA, USA
    PhD Dissertation: Gyro-Based Multi-Image Deconvolution for Removing Handshake Blur
    PhD, Electrical Engineering, 2014.
    MS, Electrical Engineering, 2010.
  • Seoul National University   Seoul, Korea
    BS, Electrical Engineering, 2007.
    • Experience
  • Intel Labs Santa Clara   CA, USA
    Graduate technical intern
    Vision and Image Processing Research, IXR/XTL, 2011-2014.
    • Research
  • Gyro-Based Multi-Image Deconvolution for Removing Handshake Blur
    Sung Hee Park, Marc Levoy
    IEEE CVPR 2014
  • Handling Moving Objects and Over-Exposed Regions in Non-Blind Multi-Image Deconvolution
    Sung Hee Park, Marc Levoy
    Stanford Computer Graphics Laboratory Technical Report 2014
  • Noise and Dynamic Range Optimal Computational Imaging    [PDF]
    Kalpana Seshadrinathan, Sung Hee Park, Oscar Nestares
    IEEE ICCP 2012 (poster), IEEE ICIP 2012
  • The FCam API for Programmable Cameras    [PDF]
    Sung Hee Park, Andrew Adams, Eino-Ville Talvala
    ACM Multimedia 2011 (open source software competition)
  • Multi-exposure Imaging on Mobile Devices    [PDF]
    Natasha Gelfand, Andrew Adams, Sung Hee Park, Kari Pulli
    ACM Multimedia 2010 (short paper & technical demo)
  • The Frankencamera: An Experimental Platform for Computational Photography
    Andrew Adams, Eino-Ville Talvala, Sung Hee Park, David E. Jacobs, Boris Ajdin, Natasha Gelfand, Jennifer Dolson, Daniel Vaquero,
    Jongmin Baek, Marius Tico, Hendrik P. A. Lensch, Wojciech Matusik, Kari Pulli, Mark Horowitz, Marc Levoy
    ACM SIGGRAPH 2010
  • A Case for Denoising before Demosaicking Color Filter Array Data
    Sung Hee Park, Hyung Suk Kim, Steven Lansel, Manu Parmar, Brian Wandell
    Asilomar Conference on Signals, Systems, and Computers 2009
  • Classification with Axis-Aligned Rectangular Boundaries
    Sung Hee Park
    Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies, IGI Global, 2012. (book chapter)