Rama Chellappa
Affiliations: | Electrical and Computer Engineering | University of Maryland, College Park, College Park, MD |
Website:
https://ece.umd.edu/clark/faculty/369/Rama-ChellappaGoogle:
"Ramalingam Chellappa" OR "Rama Chellappa"Bio:
https://ipst.umd.edu/people/ramalingam-chellappa
https://rama.umiacs.io/ProfChellappa_CV.pdf
https://docs.lib.purdue.edu/dissertations/AAI8200655/
https://www.proquest.com/openview/8183edff4561f8fca54b8ffe6f87ab2a/1
Parents
Sign in to add mentorRangasami L. Kashyap | grad student | 1981 | Purdue | |
(Stochastic models in image analysis and processing) |
Children
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Publications
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Strat TM, Chellappa R, Patel VM. (2020) Vision and Robotics Ai Magazine. 41: 49-65 |
Xu H, Lv X, Wang X, et al. (2019) Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection. Ieee Transactions On Pattern Analysis and Machine Intelligence |
Liu L, Pietikainen M, Chen J, et al. (2019) Guest Editors’ Introduction to the Special Section on Compact and Efficient Feature Representation and Learning in Computer Vision Ieee Transactions On Pattern Analysis and Machine Intelligence. 41: 2287-2290 |
Lu B, Chen J, Castillo CD, et al. (2019) An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification Ieee Transactions On Biometrics, Behavior, and Identity Science. 1: 42-55 |
Mahbub U, Sarkar S, Chellappa R. (2019) Segment-based Methods for Facial Attribute Detection from Partial Faces Ieee Transactions On Affective Computing. 1-1 |
Mahbub U, Sarkar S, Chellappa R. (2019) Partial face detection in the mobile domain Image and Vision Computing. 82: 1-17 |
Loy CC, Liu X, Kim T, et al. (2019) Editorial: Special Issue on Deep Learning for Face Analysis International Journal of Computer Vision. 127: 533-536 |
Liu L, Chen J, Fieguth PW, et al. (2019) From BoW to CNN: Two Decades of Texture Representation for Texture Classification International Journal of Computer Vision. 127: 74-109 |
O'Toole AJ, Castillo CD, Parde CJ, et al. (2018) Face Space Representations in Deep Convolutional Neural Networks. Trends in Cognitive Sciences |
Phillips PJ, Yates AN, Hu Y, et al. (2018) Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms. Proceedings of the National Academy of Sciences of the United States of America |