RI | People | Rahul Sukthankar

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Rahul Sukthankar Adjunct Faculty (Adjunct) Email address: rahuls@cs.cmu.edu Office: CIC 410 Phone: (412) 297-4025 Fax: 412-297-4110 Mailing address: Carnegie Mellon University Robotics Institute 5000 Forbes Avenue Pittsburgh, PA 15213 For more information, see my personal homepage.

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Research interests

I am currently working on ideas in computer vision and machine learning, with applications to face recognition and intelligent user interfaces. Earlier research at the Robotics Institute includes work in agent architectures, simulation and autonomous navigation.

This section last updated - January 1999.

Research interest keywords

artificial intelligence, computer vision, machine learning, mobile robots, and multi-agent systems

Current Projects [Past projects]

Event Detection in Videos - Our event detection method can detect a wide range of actions in video by correlating spatio-temporal shapes to over-segmented videos without background subtraction.

Recent publications [View all 48 publications]

• Fast Motion Consistency Through Matrix Quantization
  P. Matikainen, M. Hebert, R. Sukthankar, and Y. Ke
  Proceedings of the British Machine Vision Conference, September, 2008, pp. 1055-1064. [Abstract]
  Download: pdf [1534 KB] copyrighted

• Decentralized Estimation and Control of Graph Connectivity in Mobile Sensor Networks
  P. Yang, R.A. Freeman, G. Gordon, K. Lynch, S. Srinivasa, and R. Sukthankar
  American Control Conference, June, 2008. [Abstract]
  Download: pdf [177 KB] copyrighted

• Event Detection in Crowded Videos
  Y. Ke, R. Sukthankar, and M. Hebert
  IEEE International Conference on Computer Vision, October, 2007. [Abstract]
  Download: pdf [1712 KB] copyrighted

• Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features
  M. Leordeanu, M. Hebert, and R. Sukthankar
  Proceedings of CVPR, June, 2007. [Abstract]
  Download: pdf [5404 KB] copyrighted

• Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data
  L. Yang, R. Jin, C. Pantofaru, and R. Sukthankar
  Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, June, 2007. [Abstract]
  Download: pdf [191 KB] copyrighted

• Spatio-temporal Shape and Flow Correlation for Action Recognition
  Y. Ke, R. Sukthankar, and M. Hebert
  Visual Surveillance Workshop, June, 2007. [Abstract]
  Download: pdf [1204 KB] copyrighted

• Distributed Inference in Dynamical Systems
  S. Funiak, C.E. Guestrin, M. Paskin, and R. Sukthankar
  Advances in Neural Information Processing Systems 19, MIT Press, December, 2006. [Abstract]
  Download: pdf [379 KB] copyrighted

• Semantic Learning for Audio Applications: A Computer Vision Approach
  R. Sukthankar, Y. Ke, and D. Hoiem
  2006 Conference on Computer Vision and Pattern Recognition Workshop, June, 2006, pp. 112. [Abstract]
  Download: pdf [398 KB] copyrighted

• Distributed Localization of Networked Cameras
  S. Funiak, C.E. Guestrin, R. Sukthankar, and M. Paskin
  Fifth International Conference on Information Processing in Sensor Networks (IPSN'06), April, 2006, pp. 34 - 42. [Abstract]
  Download: pdf [777 KB] copyrighted

• Efficient Visual Event Detection using Volumetric Features
  Y. Ke, R. Sukthankar, and M. Hebert
  International Conference on Computer Vision, Vol. 1, October, 2005, pp. 166 - 173. [Abstract]
  Download: pdf [602 KB] copyrighted