Ahmed Elgammal

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Mohamed Elhoseiny, Ph.D.Assistant Professor, KAUST (hiring postdocs & grad students)Verified email at kaust.edu.sa
Chan-Su LeeAssociate Professor of Electronic Engineering, Yeungnam UniversityVerified email at ynu.ac.kr
Larry DavisProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
Ramani DuraiswamiComputer Science and UMIACS, University of Maryland, College ParkVerified email at umd.edu
Dimitris N. MetaxasDistinguished Professor of Computer Science, Rutgers UniversityVerified email at cs.rutgers.edu
Marwan TorkiComputer and Systems Engineering Department Alexandria UniversityVerified email at alexu.edu.eg
Toufiq ParagHarvard UniversityVerified email at g.harvard.edu
Amr BakryAppleVerified email at apple.com
Ali ElQurshRutgers UniversityVerified email at cs.rutgers.edu
Mohamed Abdel-MottalebProfessor of Electrical and Computer Engineering, University of MiamiVerified email at miami.edu
Sharon Xiaolei HuangProfessor in College of Information Sciences and Technology at Penn State UniversityVerified email at psu.edu
Turgay SenletSoftware EngineerVerified email at google.com
Liviu IftodeProfessor of Computer Science, Rutgers UniversityVerified email at cs.rutgers.edu
Vinay ShetDirector Product Management, LyftVerified email at lyft.com
Chetan TondeAmazonVerified email at scarletmail.rutgers.edu
Ishani ChakrabortyResearcher, Microsoft Cloud & AIVerified email at cs.rutgers.edu
Ali FarhadiProfessor, Computer Science and Engineering, University of WashingtonVerified email at cs.uw.edu
Dimitris SamarasStony Brook UniversityVerified email at cs.stonybrook.edu
Russ GreinerProfessor of Computer Science, University of AlbertaVerified email at ualberta.ca
Maneesh SinghMotive TechnologiesVerified email at ieee.org

Ahmed Elgammal

Rutgers University

Verified email at cs.rutgers.edu - Homepage

Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Non-parametric model for background subtraction A Elgammal, D Harwood, L Davis Computer Vision—ECCV 2000: 6th European Conference on Computer Vision …, 2000	3482	2000
Background and foreground modeling using nonparametric kernel density estimation for visual surveillance A Elgammal, R Duraiswami, D Harwood, LS Davis Proceedings of the IEEE 90 (7), 1151-1163, 2002	2194	2002
Inferring 3D body pose from silhouettes using activity manifold learning A Elgammal, CS Lee Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004	554	2004
Can: Creative adversarial networks, generating" art" by learning about styles and deviating from style norms A Elgammal, B Liu, M Elhoseiny, M Mazzone arXiv preprint arXiv:1706.07068, 2017	414	2017
A generative adversarial approach for zero-shot learning from noisy texts Y Zhu, M Elhoseiny, B Liu, X Peng, A Elgammal Proceedings of the IEEE conference on computer vision and pattern …, 2018	389	2018
Write a classifier: Zero-shot learning using purely textual descriptions M Elhoseiny, B Saleh, A Elgammal Proceedings of the IEEE International Conference on Computer Vision, 2584-2591, 2013	325	2013
Probabilistic framework for segmenting people under occlusion AE Elgammal, LS Davis Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001	286	2001
Spda-cnn: Unifying semantic part detection and abstraction for fine-grained recognition H Zhang, T Xu, M Elhoseiny, X Huang, S Zhang, A Elgammal, D Metaxas Proceedings of the IEEE conference on computer vision and pattern …, 2016	284	2016
Efficient kernel density estimation using the fast gauss transform with applications to color modeling and tracking A Elgammal, R Duraiswami, LS Davis Pattern Analysis and Machine Intelligence, IEEE Transactions on 25 (11 …, 2003	281	2003
Probabilistic tracking in joint feature-spatial spaces A Elgammal, R Duraiswami, LS Davis 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003	255	2003
Separating style and content on a nonlinear manifold A Elgammal, CS Lee Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004	250	2004
Large-scale classification of fine-art paintings: Learning the right metric on the right feature B Saleh, A Elgammal arXiv preprint arXiv:1505.00855, 2015	200	2015
High resolution acquisition, learning and transfer of dynamic 3‐D facial expressions Y Wang, X Huang, CS Lee, S Zhang, Z Li, D Samaras, D Metaxas, ... Computer Graphics Forum 23 (3), 677-686, 2004	199	2004
Modeling view and posture manifolds for tracking CS Lee, A Elgammal 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007	184	2007
Graphical contrastive losses for scene graph parsing J Zhang, KJ Shih, A Elgammal, A Tao, B Catanzaro Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	178	2019
Indoor localization using camera phones N Ravi, P Shankar, A Frankel, A Elgammal, L Iftode Seventh IEEE Workshop on Mobile Computing Systems & Applications (WMCSA'06 …, 2005	175	2005
Method for detecting a face in a digital image M Abdel-Mottaleb, A Elgammal US Patent 6,263,113, 2001	170	2001
Learning dynamics for exemplar-based gesture recognition A Elgammal, V Shet, Y Yacoob, LS Davis 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003	146	2003
Large-scale visual relationship understanding J Zhang, Y Kalantidis, M Rohrbach, M Paluri, A Elgammal, M Elhoseiny Proceedings of the AAAI conference on artificial intelligence 33 (01), 9185-9194, 2019	144	2019
Skin detection-a short tutorial A Elgammal, C Muang, D Hu Encyclopedia of Biometrics 4, 1218-1224, 2009	138	2009

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