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Ahmed Elgammal
Ahmed Elgammal
Verified email at cs.rutgers.edu - Homepage
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
35392000
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
22452002
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
5732017
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
5582004
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
4472018
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
3662013
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
3422016
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
2942003
Art, creativity, and the potential of artificial intelligence
M Mazzone, A Elgammal
Arts 8 (1), 26, 2019
2892019
Probabilistic framework for segmenting people under occlusion
AE Elgammal, LS Davis
Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001
2872001
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
2862015
Probabilistic tracking in joint feature-spatial spaces
A Elgammal, R Duraiswami, LS Davis
2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003
2602003
Separating style and content on a nonlinear manifold
A Elgammal, CS Lee
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004
2582004
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
2382019
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
2202020
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
2052004
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
1792005
Method for detecting a face in a digital image
M Abdel-Mottaleb, A Elgammal
US Patent 6,263,113, 2001
1752001
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
1652019
Modeling view and posture manifolds for tracking
CS Lee, A Elgammal
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007
1622007
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Articles 1–20