RI | People | Sanjiv Kumar

Text only version of this site

Sanjiv Kumar
PhD Student

No longer a member of RI.

Jump to: Labs & Groups | Projects | Publications

Past Labs & Groups

Vision and Mobile Robotics Lab - Our group studies fundamental problems of Computer Vision and ground mobile robotics.

Past Projects

Automated Material Transport System

MARS2020 - This project seeks to develop softwares needed to program autonomous mobile robots in partially known, changing, and unpredictable environments.

Publications

Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.

• Discriminative Random Fields
  S. Kumar and M. Hebert
  International Journal of Computer Vision, Vol. 68, No. 2, 2006, pp. 179-202. [Abstract]
  Download: pdf [939 KB] copyrighted

• A Hierarchical Field Framework for Unified Context-Based Classification
  S. Kumar and M. Hebert
  Tenth IEEE International Conference on Computer Vision (ICCV '05), Vol. 2, October, 2005, pp. 1284 - 1291. [Abstract]
  Download: pdf [343 KB] copyrighted

• Models for Learning Spatial Interactions in Natural Images for Context-Based Classification
  S. Kumar
  tech. report CMU-CS-05-28, Robotics Institute, Carnegie Mellon University, August, 2005. [Abstract]
  Download: pdf [5396 KB] copyrighted

• Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study
  S. Kumar, J. August, and M. Hebert
  Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2005. [Abstract]
  Download: pdf [298 KB] copyrighted

• Path Planning with Hallucinated Worlds
  B. Nabbe, S. Kumar, and M. Hebert
  Proceedings: IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, Vol. 4, October, 2004, pp. 3123 - 3130. [Abstract]
  Download: pdf [639 KB] copyrighted

• Discriminative Fields for Modeling Spatial Dependencies in Natural Images
  S. Kumar and M. Hebert
  in proc. advances in Neural Information Processing Systems (NIPS), December, 2003.
  Download: pdf [169 KB], ps.gz [622 KB] copyrighted

• An Observation-Constrained Generative Approach for Probabilistic Classification of Image Regions
  S. Kumar, A.C. Loui, and M. Hebert
  Image and Vision Computing, Vol. 21, 2003, pp. 87-97.
  Download: pdf [658 KB] copyrighted

• Discriminative Random Fields: A Discriminative Framework for Contextual Interaction in Classification
  S. Kumar and M. Hebert
  Proceedings of the 2003 IEEE International Conference on Computer Vision (ICCV '03), Vol. 2, 2003, pp. 1150-1157.
  Download: pdf [245 KB] copyrighted

• Man-Made Structure Detection in Natural Images using a Causal Multiscale Random Field
  S. Kumar and M. Hebert
  in proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Vol. 1, 2003, pp. 119-126.
  Download: pdf [307 KB] copyrighted

• Probabilistic Classification of Image Regions using an Observation-Constrained Generative Approach
  S. Kumar, A.C. Loui, and M. Hebert
  ECCV Workshop on Generative Models based Vision (GMBV), 2002, pp. 91 - 99.
  Download: pdf [664 KB] copyrighted