Welcome to Hailin Jin's Homepage


a picture of Hailin Jin Hailin Jin, Ph.D.

Principal Scientist
Adobe Research
Adobe Systems Incorporated
Email: Email


Publications

Education
  • Ph.D. August 2000 - August 2003.
    Department of Electrical Engineering, Washington University, Saint Louis, Missouri.
  • M.S. August 1998 - May 2000.
    Department of Electrical Engineering, Washington University, Saint Louis, Missouri.
  • B.S. September 1993 - July 1998.
    Department of Automation, Tsinghua University, Beijing, P. R. China.
Professional experiences
  • Research Scientist. October 2004 - present.
    Adobe Systems Incorporated.
  • Post-graduate Research Scientist. August 2003 - September 2004.
    Computer Science Department, University of California, Los Angeles.
  • Research assistant. August 1998 - May 2003.
    Electrical Engineering Department, Washington University, Saint Louis.
Research Interests
Deep learning; Machine learning; Structure from motion; Stereo; Optical flow; Tracking; Video stabilization; 3D reconstruction; Image-based modeling and rendering; Level set methods; Shape from shading;
Brief Bio
Dr. Hailin Jin received his Bachelor's degree in Automation from Tsinghua University, Beijing, China in 1998. He then received his Master of Science and Doctor of Science degrees in Electrical Engineering from Washington University in Saint Louis in 2000 and 2003 repectively. Between fall 2003 and fall 2004, he was a postdoctoral researcher at the Computer Science Department, University of California at Los Angeles. Since October 2004, he has been with Adobe Systems Incorporated. He is a member of the IEEE and the IEEE Computer Society.
Generic Image Library
Generic Image Library (GIL) is an open source C++ image-processing library that I wrote together with Lubomir Bourdev at Adobe Systems Incorporated. GIL abstracts image presentations from image-processing algorithms. It is designed such that its performance is on par with hand-written code for particular image formats. GIL is part of Boost. GIL is freely available in a stand-alone version at http://opensource.adobe.com/gil or with Boost at http://www.boost.org.
My GIL tutorial slides for the Open Source Vision Software, Introduction and Training tutorial at CVPR 2010 are available here.

Last updated on November 26, 2014.