7/15/11: Keynote Talk at UAI 2011
6/13/11: Keynote Talk at MVA 2011
9/24/10: Yu-Ying Liu finalist for MICCAI 10 Young Scientist Award
9/04/10: David Tsai and Matthew Flagg awarded Best Student Paper Prize at BMVC 2010
8/19/10: Georgia Tech awarded $10M NSF Expedition in Computational Behavioral Science
J. Wu and J. M. Rehg. "CENTRIST: A Visual Descriptor for Scene Categorization." To appear in IEEE Trans. PAMI. Accepted for publication.
[ PDF ] : [ Project Webpage ]
M. J. Schuster, J. K. Okerman, H. Nguyen, J. M. Rehg, and C. Kemp. "Perceiving Clutter and Surfaces for Object Placement in Indoor Environments."In Proc. HUMANOIDS 2010, Nashville, TN, 2010.
[ PDF ]
H. Zhou, T. Hermans, A. Karandikar, and J. M. Rehg. "Movie Genre Classification via Scene Categorization." In Proc. ACM Multimedia 2010, Firenze, Italy. Short paper
[ PDF ]
D. Tsai, M. Flagg, and J. M. Rehg. "Motion Coherent Tracking with Multi-label MRF Optimization."In Proc. British Machine Vision Conference (BMVC 2010), Aberystwyth, UK. Winner Best Student Paper Award
[ PDF ] : [ Project Webpage ]
Y.-Y. Liu, M. Chen, H. Ishikawa, G. Wollstein, J. Schuman, and J. M. Rehg. "Automated Macular Pathology Diagnosis in Retinal OCT Images Using Multi-Scale Spatial Pyramid with Local Binary Patterns." In Proc. MICCAI 2010, Beijing, China. Oral presentation
[ PDF ]
K. Prabhakar, S. Oh, P. Wang, G. Abowd, and J. M. Rehg. "Temporal Causality for the Analysis of Visual Events." In CVPR 2010, San Francisco, CA. Oral presentation
[ PDF ]
Fall 2011
Introduction to Probabilistic Graphical Models (CS 8803 PGM)
MWF 3:00-4:00
CCB 102
Spring 2011
Introduction to Behavior Imaging (CS 4803/8803 BHI)
MWF 2:00 - 3:00
ES&T L1175
Fall 2010
Computer Vision (CS 4495/7495)
Tu-Th 4:30 - 6:00
CCB 16
The best way to reach me is by email.
rehg@cc.gatech.edu
Phone: 404-894-9105
Office: CCB 315 (Directions)
co-Director, Computational Perception Lab
Associate Director of Research, Center for Robotics and Intelligent Machines (RIM@GT)
Health Systems Institute
GVU Center
Dr. Rehg has an active consulting practice based upon his expertise and experience in computer vision, robotics, medical imaging, machine learning, pattern recognition, and human-computer interaction. Some of his current and past clients include Disney, Intel, iRobot, Mitsubishi, and Mobile Intelligence.