Greg Shakhnarovich
Location: (Chicago, IL)
Personal Research Web Page: http://ttic.uchicago.edu/~gregory
Keywords: Computer vision, Nearest neighbors, Recognition, Semi-supervised learning, Similarity learning, Distance learning, 3D scene understanding, Scene parsing, Motion, Active learning
Posted on: Monday, June 8th, 2009
Broad Research Area: AI / Machine Learning / Robotics / Vision
Research Interests:
I am interested in understanding 3D properties of visual scenes from 2D images and videos, and in active learning approaches to this problem. In particular, I would like to understand how a use of mobile visual platforms (robots with cameras) can help us collect better training data for statistical learning algorithms that address the problem of 3D scene recovery from 2D imagery.
I am also interested in bottom-up methods for parsing and recognition of motion in videos, with primary focus on articulated tracking, such as hand motion understanding.
More broadly I am interested in statistical learning methods for example-based learning and inference, and semi-supervised learning.
TTI-Chicago is an independent research institute dedicated to basic research and graduate education in computer science. We are located on the U. of Chicago campus, but are an independent organization with our own PhD program. We are currently primarily focused on machine learning, artificial intelligence and related applications (vision, robotics, speech, natural language), theory of computation, programming language, and scientific computing (signal processing, computational biology).
Contact Information:
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