Raghuraman Gopalan, Ph.D.

Affiliations: 
2011 Electrical Engineering University of Maryland, College Park, College Park, MD 
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"Raghuraman Gopalan"

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Rama Chellappa grad student 2011 University of Maryland
 (Model-driven and Data-driven Approaches for some Object Recognition Problems.)
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Publications

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Gopalan R, Li R, Patel VM, et al. (2015) Introduction: Domain adaptation for visual recognition Foundations and Trends in Computer Graphics and Vision. 8: 286-378
Patel VM, Gopalan R, Li R, et al. (2015) Visual Domain Adaptation: A survey of recent advances Ieee Signal Processing Magazine. 32: 53-69
Gopalan R, Ruonan Li, Chellappa R. (2014) Unsupervised Adaptation Across Domain Shifts by Generating Intermediate Data Representations. Ieee Transactions On Pattern Analysis and Machine Intelligence. 36: 2288-302
Ho HT, Gopalan R. (2014) Model-driven domain adaptation on product manifolds for unconstrained face recognition International Journal of Computer Vision. 109: 110-125
Gopalan R, Li R, Chellappa R. (2013) Unsupervised Adaptation Across Domain Shifts By Generating Intermediate Data Representations. Ieee Transactions On Pattern Analysis and Machine Intelligence
Begeja L, Zavesky E, Liu Z, et al. (2013) VidCat: An image and video analysis service for personal media management Proceedings of Spie - the International Society For Optical Engineering. 8667
Gopalan R. (2013) Learning cross-domain information transfer for location recognition and clustering Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 731-738
Sapkota A, Gopalan R, Zavesky E, et al. (2013) Appearance, context and co-occurrence ensembles for identity recognition in personal photo collections Ieee 6th International Conference On Biometrics: Theory, Applications and Systems, Btas 2013
Gopalan R, Taheri S, Turaga P, et al. (2012) A blur-robust descriptor with applications to face recognition. Ieee Transactions On Pattern Analysis and Machine Intelligence. 34: 1220-6
Gopalan R, Hong T, Shneier M, et al. (2012) A Learning Approach Towards Detection and Tracking of Lane Markings Ieee Transactions On Intelligent Transportation Systems
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