James M. Rehg

           Professor
           School of Interactive Computing
           College of Computing
           Georgia Institute of Technology

 

 

News:

4/15/2013: Zhefan Ye wins second place in the UROC symposium for his research on "Detecting Eye Contact Using Wearable Eye-Tracking Glasses".

12/27/2012: Method of the Year Award from Nature Methods: Paper with Matt Crane and Hang Lu was selected as a Method to Watch for 2012.

Nov 2012: Fuxin Li joined our group as a research scientist

9/12/12: Call for Abstracts for the AAAI 2013 Spring Symposium on Weakly Supervised Learning from Multimedia

Fall 2012: Post-doc posititions available for research in autonomous robotics and activity recognition.

                      Currently hiring PhD, Masters, and Undergrads for credit or pay.

Nov. 2012: Keynote Talk at ACML 2012, Singapore

Nov. 2012: Program co-Chair, ACCV 2012, Daejeon, Korea

June 2012: Organizing Committee, Second IEEE Workshop on Egocentric Vision, Providence, RI

12/15/11: Yushi Jing successfully defended his Ph.D. dissertation

10/10/11: Grant Awarded from Intel Science and Technology Center in Pervasive Computing for "Understanding Social Behaviors"

9/23/111: Grant Awarded from Intel Science and Technology Center in Embedded Computing for "Resource-Aware Scene Analysis"

7/15/11: Keynote Talk at UAI 2011

6/13/11: Keynote Talk at MVA 2011

4/26/11: Senior Faculty Distinguished Research Award, Georgia Institute of Technology.


Recent Publications   [Google Scholar | Microsoft Academic]

A. Fathi, and J. M. Rehg. "Modeling Actions through State Changes." In Proc of CVPR 2013, Portland, OR.
[ PDF ]

T. Hermans, J. M. Rehg, and A. Bobick. "Decoupling Behavior, Perception, and Control for Autonomous Learning of Affordances." In Proc of ICRA 2013, Vilamoura, Portugal.
[ PDF ] : [ Video ]

M. M. Crane, J. N. Stirman, C.-Y. Ou, P. T. Kurshan, J. M. Rehg, K. Shen, and H. Lu. "Autonomous screening of C. elegans identifies genes implicated in synaptogenesis." In Nature Methods, 2012. DOI: 10.1038/NMETH.2141.
[ Nature Methods Link ] : [ Method to Watch for 2012 ]

K. Prabhakar, and J. M. Rehg. "Categorizing Turn-Taking Interactions." In Proc of ECCV 2012, Florence, Italy.
[ PDF ]

A. Fathi, Y. Li, and J. M. Rehg. "Learning to Recognize Daily Actions using Gaze." In Proc of ECCV 2012, Florence, Italy.
[ PDF ] : [ Project Webpage ]

T. Bhattacharjee, J. M. Rehg, and C. C. Kemp. "Haptic Classification and Recognition of Objects Using a Tactile Sensing Forearm." In Proc of IROS 2012, Vilamoura, Portugal.
[ PDF ]

T. Hermans, J. M. Rehg, and A. Bobick. "Guided Pushing for Object Singulation." In Proc of IROS 2012, Vilamoura, Portugal.
[ PDF ]

Y.-Y. Liu, M. Chen, H. Ishikawa, G. Wollstein, J. S. Schuman, and J. M. Rehg. "Automated Foveola Localization in Retinal 3D-OCT Images Using Structural Support Vector Machine Prediction." In Proc of MICCAI 2012, Nice, France.
[ PDF ] : [ Project Webpage ]

A. Fathi, J. K. Hodgins, and J. M. Rehg. "Social Interactions: A First-Person Perspective." In Proc of CVPR 2012, Providence, RI.
[ PDF ] : [ Project Webpage ]

L. Wang, Y. Li, J. Jia, J. Sun, D. P. Wipf, and J. M. Rehg. "Learning Sparse Covariance Patterns for Natural Scenes." In Proc of CVPR 2012, Providence, RI.
[ PDF ]

A. Matic, P. Mehta, J. M. Rehg, V. Osmani, and O. Mayora. "Monitoring Dressing Activity Failures through RFID and Video." In Methods of Information in Medicine, Issue 1, 2012 (Vol. 51).
[ PDF ]

D. Tsai, M. Flagg, A. Nakazawa, and J. M. Rehg. "Motion Coherent Tracking Using Multi-label MRF Optimization." In International Journal of Computer Vision, 2012.
[ Springer Link ]

J. Wu, W.-C. Tan, and J. M. Rehg. "Efficient and Effective Visual Codebook Generation Using Additive Kernels." In Journal of Machine Learning Research, Nov. 2011 (Vol. 12).
[ JMLR Link ]

D. Tsai, Y. Jing, Y. Liu, H. A. Rowley, S. Ioffe, and J. M. Rehg. "Large-Scale Image Annotation using Visual Synset." In Proc of ICCV 2011, Barcelona, Spain.
[ PDF ] : [ Project Webpage ]

A. Fathi, A. Farhadi, and J. M. Rehg. "Understanding Egocentric Activities." In Proc of ICCV 2011, Barcelona, Spain.
[ PDF ]

Y.-Y. Liu, H. Ishikawa, M. Chen, G. Wollstein, J. S. Duker, J. G. Fujimoto, J. S. Schuman, and J. M. Rehg. "Computerized Macular Pathology Diagnosis in Spectral Domain Optical Coherence Tomography Scans Based on Multiscale Texture and Shape Features." In Investigative Ophthalmology and Visual Science, Oct. Number 11, 2011 (Vol. 52).
[ IOVS Link ]

Y.-Y. Liu, M. Chen, H. Ishikawa, G. Wollstein, J. S. Schuman, and J. M. Rehg. "Automated Macular Pathology Diagnosis in Retinal OCT Images using Multi-scale Spatial Pyramid and Local Binary Patterns in Texture and Shape Encoding." In Medical Image Analysis, Oct. Issue 5, 2011 (Vol. 15).
[ PDF ]

A. Fathi, M. F. Balcan, X. Ren, and J. M. Rehg. "Combining Self Training and Active Learning for Video Segmentation." In Proc. of BMVC 2011, Dundee, United Kingdom
[ BMVC Proceedings ]

J. Wu and J. M. Rehg. "CENTRIST: A Visual Descriptor for Scene Categorization." In IEEE Trans. PAMI, Issue 8, 2011 (Vol. 33).
[ PDF ] : [ Project Webpage ]

A. Fathi, X. Ren, and J. M. Rehg. "Learning to Recognize Objects in Egocentric Activities." In Proc. of CVPR 2011, Colorado Springs, CO.
[ PDF ] : [ Project Webpage ]

J. Wu, C. Geyer, and J. M. Rehg. "Real-Time Human Detection Using Contour Cues." In Proc. of ICRA 2011, Shanghai, China.
[ PDF ] : [ Project Webpage ]


Projects


Teaching

Spring 2013
Introduction to Probabilistic Graphical Models (CS 8803 PGM)
MWF 2:00-3:00
ES&T L1105

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


Research Scientist


Ph.D. Students

Alumni


Contact

The best way to reach me is by email.
rehg@cc.gatech.edu
Phone: 404-894-9105

Office: CCB 315 (Directions)

Affiliations

co-Director, Computational Perception Lab
Associate Director of Research, Center for Robotics and Intelligent Machines (RIM@GT)
Health Systems Institute
GVU Center


Sponsors and Programs


Biography

Short Bio

Long Bio


Consulting

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.