Research
My PhD advisor is Daphne Koller. I am a member of the DAGS Research Group, and have interests in:

• Machine learning
• Artificial intelligence
• Probabilistic models
• Convex optimization
• Robotics and active computer vision

I also do a lot of work on the STAIR project with Andrew Ng.

Publications
Projected Subgradient Methods for Learning Sparse Gaussians, John Duchi, Stephen Gould, Daphne Koller. In Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI), 2008. [pdf | bib]

Multi-Class Segmentation with Relative Location Prior, Stephen Gould, Jim Rodgers, David Cohen, Gal Elidan, Daphne Koller. In International Journal of Computer Vision (IJCV), 2008. [pdf | bib]

Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video, Stephen Gould, Joakim Arfvidsson, Adrian Kaehler, Benjamin Sapp, Marius Meissner, Gary Bradski, Paul Baumstarck, Sukwon Chung and Andrew Y. Ng. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI), 2007. [pdf | ps | videos | bib]

Demonstrations
Holistic Scene Understanding from Visual and Range Data, Stephen Gould, Paul Baumstarck, Morgan Quigley, Andrew Y. Ng and Daphne Koller. In NIPS, 2007. [videos | poster]

Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video, Stephen Gould, Benjamin Sapp, Morgan Quigley and Andrew Y. Ng. In NIPS, 2006. [videos | poster]

Software
STAIR Vision Library: A platform independent C++ toolkit for computer vision research (building on top of OpenCV). Also includes many machine learning and probabilistic graphical models alogorithms. Released under the BSD license. [wiki | download]

Teaching (at Stanford)
Teaching assistant for CS294A: STAIR: STanford AI Robot Project (Winter 2008)
Teaching assistant for CS228: Probabilistic Models in AI (Winter 2008)
Teaching assistant for CS228: Probabilistic Models in AI (Winter 2007)

Useful Links

• Google, Google Scholar
• SGI's STL reference
• OpenCV wiki