Ahmed Elgammal

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Citations	17389	6202
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i10-index	141	81

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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
Bingchen LiuResearch Scientist, Playground AI.Verified email at playgroundai.com
Babak SalehAI ResearcherVerified email at rutgers.edu
Yizhe ZhuSenior Research Scientist at Bytedance/TiktokVerified email at bytedance.com
Ramani DuraiswamiComputer Science and UMIACS, University of Maryland, College ParkVerified email at umd.edu
Marian MazzoneCollege of Charleston, Art & Architectural HistoryVerified email at cofc.edu
Dimitris N. MetaxasDistinguished Professor of Computer Science, Rutgers UniversityVerified email at cs.rutgers.edu
Sheng HuangSchool of Big Data and Software Engineering, Chongqing UniversityVerified email at cqu.edu.cn
KUNPENG SONGRutgers UniversityVerified email at cs.rutgers.edu
Ji ZhangGoogle DeepMindVerified email at deepmind.com
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
Xi PengAssistant Professor, Computer Science, University of DelawareVerified email at udel.edu
Turgay Senlet, PhDSoftware EngineerVerified email at google.com
Sharon X. HuangProfessor in College of Information Sciences and Technology at Penn State UniversityVerified email at psu.edu

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	3540	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	2245	2002
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	575	2017
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	558	2004
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	448	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	367	2013
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	342	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	295	2003
Art, creativity, and the potential of artificial intelligence M Mazzone, A Elgammal Arts 8 (1), 26, 2019	290	2019
Probabilistic framework for segmenting people under occlusion AE Elgammal, LS Davis Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001	287	2001
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	286	2015
Probabilistic tracking in joint feature-spatial spaces A Elgammal, R Duraiswami, LS Davis 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003	260	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	258	2004
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	238	2019
Towards faster and stabilized gan training for high-fidelity few-shot image synthesis B Liu, Y Zhu, K Song, A Elgammal International Conference on Learning Representations, 2020	220	2020
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	205	2004
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	179	2005
Method for detecting a face in a digital image M Abdel-Mottaleb, A Elgammal US Patent 6,263,113, 2001	175	2001
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	165	2019
Modeling view and posture manifolds for tracking CS Lee, A Elgammal 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007	162	2007

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