Publications

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Author Title Type [ Year(Asc)]
Filters: Keyword is image recognition  [Clear All Filters]
2012
Zhuolin Jiang, Lin Z, Davis LS.  2012.  Recognizing Human Actions by Learning and Matching Shape-Motion Prototype Trees. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 34(3):533-547.
2011
Chellappa R.  2011.  The evolution of stochastic grammars for representation and recognition of activities in videos. 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops). :688-688.
Turaga P, Veeraraghavan A, Srivastava A, Chellappa R.  2011.  Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(11):2273-2286.
2010
Shroff N, Turaga P, Chellappa R.  2010.  Moving vistas: Exploiting motion for describing scenes. 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). :1911-1918.
2009
Pillai JK, Patel VM, Chellappa R.  2009.  Sparsity inspired selection and recognition of iris images. Biometrics: Theory, Applications, and Systems, 2009. BTAS '09. IEEE 3rd International Conference on. :1-6.
2006
Zhuolin Jiang, Li S-F, Gao D-F.  2006.  A Time Saving Method for Human Detection in Wide Angle Camera Images. Machine Learning and Cybernetics, 2006 International Conference on. :4029-4034.
2004
Zhou S K, Chellappa R, Moghaddam B.  2004.  Visual tracking and recognition using appearance-adaptive models in particle filters. IEEE Transactions on Image Processing. 13(11):1491-1506.
1996
Yacoob Y, Davis LS.  1996.  Recognizing human facial expressions from long image sequences using optical flow. IEEE Transactions on Pattern Analysis and Machine Intelligence. 18(6):636-642.
1992
Fermüller C, Kropatsch W.  1992.  Hierarchical curve representation. , 11th IAPR International Conference on Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings. :143-146.
1991
Huang L, Aloimonos Y.  1991.  Relative depth from motion using normal flow: an active and purposive solution. Proceedings of the IEEE Workshop on Visual Motion, 1991. :196-204.