Patrick J. Flynn

Affiliations: 
University of Notre Dame, Notre Dame, IN, United States 
Area:
computer vision, biometrics, pattern recognition
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"Patrick Flynn"

Parents

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Anil K. Jain grad student 1986-1990 Michigan State (MathTree)

Children

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Damon Woodard grad student Notre Dame
Kyong I. Chang grad student 2004 Notre Dame
Timothy C. Faltemier grad student 2008 Notre Dame
Christopher B. Boehnen grad student 2009 Notre Dame
Karen P. Hollingsworth grad student 2010 Notre Dame
Ryan Connaughton grad student 2012 Notre Dame
Alexandri G. Zavodny grad student 2012 Notre Dame
Jeffrey R. Paone grad student 2013 Notre Dame
Joel R Brogan grad student 2014-2018 Notre Dame (Neurotree)
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Publications

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Brogan J, Bharati A, Moreira D, et al. (2021) Fast Local Spatial Verification for Feature-Agnostic Large-Scale Image Retrieval. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society
Boyd A, Yadav S, Swearingen T, et al. (2020) Post-Mortem Iris Recognition—A Survey and Assessment of the State of the Art Ieee Access. 8: 136570-136593
Li P, Prieto L, Mery D, et al. (2019) On Low-Resolution Face Recognition in the Wild: Comparisons and New Techniques Ieee Transactions On Information Forensics and Security. 14: 2000-2012
Thompson J, Flynn P, Boehnen C, et al. (2019) Assessing the Impact of Corneal Refraction and Iris Tissue Non-Planarity on Iris Recognition Ieee Transactions On Information Forensics and Security. 14: 2102-2112
Moreira D, Bharati A, Brogan J, et al. (2018) Image Provenance Analysis at Scale. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society
Li P, Prieto ML, Flynn PJ, et al. (2017) Learning face similarity for re-identification from real surveillance video: A deep metric solution International Journal of Central Banking. 243-252
Banerjee S, Bernhard JS, Scheirer WJ, et al. (2017) SREFI: Synthesis of realistic example face images International Journal of Central Banking. 37-45
Srinivas N, Flynn PJ, Vorder Bruegge RW. (2016) Human Identification Using Automatic and Semi-Automatically Detected Facial Marks. Journal of Forensic Sciences. 61: S117-S130
Chen J, Shen F, Chen DZ, et al. (2016) Iris Recognition Based on Human-Interpretable Features Ieee Transactions On Information Forensics and Security. 11: 1476-1485
Ortiz E, Bowyer KW, Flynn PJ. (2016) Dilation-aware enrolment for iris recognition Iet Biometrics. 5: 92-99
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