Publications

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Agrawal A, Chellappa R.  2006.  Robust ego-motion estimation and 3-D model refinement using surface parallax. Image Processing, IEEE Transactions on. 15(5):1215-1225.
Agrawal A, Raskar R, Chellappa R.  2006.  Edge Suppression by Gradient Field Transformation Using Cross-Projection Tensors. Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on. 2:2301-2308.
Agrawal G, Sussman A, Saltz J.  1994.  Efficient runtime support for parallelizing block structured applications. Scalable High-Performance Computing Conference, 1994., Proceedings of the. :158-167.
Agrawal M, Doermann D.  2009.  Voronoi++: ADynamic Page Segmentation approach based on Voronoi and Docstrum features. International Conference on Document Analysis and Recognition (ICDAR '09). :1011-1015.
Agrawal A, Raskar R, Chellappa R.  2006.  What Is the Range of Surface Reconstructions from a Gradient Field? Computer Vision – ECCV 2006Computer Vision – ECCV 2006. 3951:578-591.
Agrawal M, Davis LS.  2003.  Complete camera calibration using spheres: Dual space approach. IEEE. 206:782-789.
Agrawal M, Mittal A, Davis LS.  2006.  Multi-view Reconstruction of Static and Dynamic Scenes. Handbook of Mathematical Models in Computer Vision. :405-422.
Agrawal G, Sussman A, Saltz J.  1995.  An integrated runtime and compile-time approach for parallelizing structured and block structured applications. IEEE Transactions on Parallel and Distributed Systems. 6(7):747-754.
Agrawal M, Doermann D.  2009.  Clutter Noise Removal in Binary Document Images. International Conference on Document Analysis and Recognition (ICDAR '09). :556-560.
Agrawal A, Chellappa R, Raskar R.  2005.  An algebraic approach to surface reconstruction from gradient fields. Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on. 1:174-181Vol.1-174-181Vol.1.
Agrawal M, Doermann D.  2010.  Context-Aware and Content-Based Dynamic Voronoi Page Segmentation. The Nineth IAPRInternational Workshop on Document Analysis Systems. :73-80.
Agrawal A, Chellappa R.  2005.  Fusing Depth and Video Using Rao-Blackwellized Particle Filter. Pattern Recognition and Machine IntelligencePattern Recognition and Machine Intelligence. 3776:521-526.
Agrawal M, Doermann D.  2011.  Stroke-like Pattern Noise Removal in Binary Document Images. International Conference on Document Analysis and Recognition. :17-21.
Agrawal M, Doermann D.  2008.  Re-Targetable OCR with Intelligent Character Segmentation. DAS '08: Proceedings of the 2008 The Eighth IAPRInternational Workshop on Document Analysis Systems. :183-190.
Agrawal AK, Chellappa R.  2005.  Ego-Motion Estimation and 3D Model Refinement in Scenes with Varying Illumination. Application of Computer Vision, 2005. WACV/MOTIONS '05 Volume 1. Seventh IEEE Workshops on. 2:140-146.
Agrawal M, Davis LS.  2003.  Camera calibration using spheres: a semi-definite programming approach. Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on. :782-789vol.2-782-789vol.2.
Agrawal M, Doermann D.  2013.  Clutter noise removal in binary document images. International Journal on Document Analysis and Recognition (IJDAR). 16(4):351-369.
Agrawal A, Raskar R, Chellappa R.  2009.  Surface reconstruction from gradient fields via gradient transformations. International Journal of Computer Vision.
Agrawala AK, Youssef M A, Shahamat L.  2005.  Method and system for providing physical security in an area of interest. 10/916,545
Agrawala AK, Mohr JM.  1977.  The relationship between the pattern recognition problem and the workload characterization problem. 1977 CMG Conference.
Agrawala AK, Varshney A, Almazan CB.  2009.  System and Method for Spatio-Temporal-Context Aware Interaction of Users .... 12/267,921
Agrawala AK, Tripathi SK.  1996.  MARUTI at ARDEC..
Agrawala AK, Rauscher TG.  1976.  Foundations of microprogramming: architecture, software, and applications.
Agrawala AK.  2001.  Revolutionary Advances in Ubiquitious, Real-Time Multicomputers and Runtime Environments. A340293:225-225.
Agrawala AK, Ricart G.  1980.  The Effect of the Future in Work Distribution..

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