James M. Rehg

           Associate Professor
           College of Computing
           Georgia Institute of Technology

Research       Group         Publications         Teaching        Vita        Biography        Contact Info        Private

I joined the College of Computing in Fall 2001. From 1995-2001 I worked at Compaq's Cambridge Research Laboratory (CRL) in Cambridge, MA, where I led a research project on vision-based human sensing. I recently co-organized the First IEEE International Workshop on Projector-Camera Systems (PROCAMS 2003) and Models Versus Exemplars in Computer Vision in 2001. I was guest editor of the July 2003 special issue of IEEE PAMI on Graphical Models in Computer Vision. I am currently on the editorial board of the International Journal of Computer Vision. I am the Courses Chair for ICCV 05 in Beijing, China. My research interests include computer vision, machine learning, computer graphics, HCI, and computer systems.

Research Projects

• Rare Event Detection - Fast on-line learning of cascade classifiers. Applications include visual object detection and recognition and network intrusion detection.
• Motion Capture from Movies - How can we unlock the vast corpus of existing video footage (movies, sports broadcasts, etc.) and  learn useful models of human movement and behavior?
• Audio-visual Sensing of Activities - Use of microphone and camera arrays for sensing and learning models of human activity. Primary focus is activity recognition in the Aware Home.
• Boosting Bayesian networks - Bayesian networks have proven to be a useful tool in representing complex probability distributions. How can we use them to build effective classifers?
• Projected Light Displays - How can we build flexible, interactive wall-sized displays using LCD projectors and cameras? video
• Machine Learning for Software Engineering - Active learning methods for modeling software behavior from measurements of program execution.

My publications are available for download.

Research Group (Wall Lab)

• Visitors
  • Dr. Young Ki Ryu
• Research Scientists
  • Matthew Mullin
• Ph.D. Students
  • Charlie Brubaker
  • Matthew Flagg
  • Yushi Jing
  • Dong Shin Kim
  • Woo Young Kim
  • Sang Min Oh (Samsung Lee Kun Hee Fellow, joint with Prof. Dellaert)
  • Adebola Osuntogun (NSF Fellow)
  • Gallagher Pryor (NSF Fellow, joint with Prof. Tannenbaum)
  • Jay Summet (joint with Prof. Abowd)
  • Jie Sun (joint with Prof. Bobick)
  • Ping Wang
  • Jianxin Wu
  • Howard Zhou (NSF Fellow, joint with Prof. Turk)
• Masters Students
  • Qiushuang Zhang
• Undergraduate Students
• Alumni

Teaching

Spring 2007

• Pattern Recognition (CS 4616) Meets MWF 1:05-1:55 PM in CCB 102
• Introduction to Probabilistic Graphical Models (CS 8803 PGM) Meets MWF 3:05-3:55 PM in Klaus 1447

Spring 2006

• Pattern Recognition (CS 4803/8803 PAR) Meets MWF 4:05-4:55 PM in CCB 102
• Computer Graphics (CS 4451-B) Meets MWF 2:05-2:55 PM in ES&T L1-105

Spring 2005

• Introduction to Probabilistic Graphical Models (CS 8803 PGM) Meets MW 4:05-5:25 PM in ES&T L1-118 (note that this is classroom 118 on Level 1, go down one flight of stairs from the street level entrance).
• Computing for Engineers (CS 1371) Meets MWF 1:35-2:25 PM in Management (Tech Square) 100.

Fall 2004

• N/A

Spring 2004

• Computational Perception (CS 7636) Meets WMF 2:05-2:55 PM in ES&T L1-125 (note that this is classroom 125 on Level 1, go down one flight of stairs from the street level entrance).
• Computing for Engineers (CS 1371) Meets TTh 8:05-8:55 AM in Howey-Physics L4.

Teaching in Previous Semesters

Affiliations

• Computational Perception Lab
• GVU Center
• Future Computing Environments (particularly the Aware Home)
• Intelligent Systems Group

Contact Info

My office is Room 230B, Technology Square Research Building (TSRB). My lab is TSRB 230.