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Jie Sun |
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Biography I am a PhD candidate in College of Computing, Georgia Institute of Technology. My research focuses on applying machine learning to computer vision and robot perception. My PhD thesis is "Object Categorization for Affordance Prediction" and my advisors are James M. Rehg and Aaron Bobick. |
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Publications 1.
S. C. Brubaker, J. Wu, J. Sun, M. D. Mullin,
and J. M. Rehg, On the Design of Cascades of Boosted Ensembles for Face
Detection, Int. J. of Computer Vision, Special Issue
on Learning for Vision 2007 2. Howard Zhou, Jie Sun, Greg Turk, and James Rehg, Terrain Synthesis from Digital Elevation Models, IEEE Trans. Visualization and Computer Graphics (TVCG) 2007 (PDF) 3. Jie Sun, Tejas Mehta, Dave Wooden, Matt Powers, James Regh, Tucker Balch, and Magnus Egerstedt, Learning from Examples in Unstructured, Outdoor Environments, J. of Field Robotics (JFR) 2006 (PDF) 4. Dongshin Kim, Jie Sun, Sangmin Oh, James Rehg, Aaron Bobick, Traversability Classification Using Unsupervised On-Line Visual Learning for Outdoor Robot Navigation, IEEE ICRA 2006 (PDF) 5. Jie Sun, James Rehg, Aaron Bobick, Automatic Cascade Training with Perturbation Bias, IEEE CVPR 2004 (PDF) (Oral Presentation Talk slides) 6. Amos Johnson, Jie Sun, Aaron Bobick, Using Similarity Scores from a Small Gallery to Estimate Recognition Performance for Larger Galleries, IEEE Int. Workshop on Analysis and Modeling of Faces and Gestures, 2003. (PDF) 7. Amos Johnson, Jie Sun, Aaron Bobick, Predicting Large Population Data Cumulative Match Characteristic Performance from Small Population Data, the 4th International Conference on Audio and Video Based Biometric Person Authentication (AVBPA) 2003 (PDF) |
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