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Ahmed Elgammal
Ahmed Elgammal
Rutgers University
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
35352000
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
22272002
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
5602004
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
5322017
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
4362018
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
3592013
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
3332016
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
2892003
Probabilistic framework for segmenting people under occlusion
AE Elgammal, LS Davis
Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001
2862001
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
2642015
Separating style and content on a nonlinear manifold
A Elgammal, CS Lee
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004
2572004
Probabilistic tracking in joint feature-spatial spaces
A Elgammal, R Duraiswami, LS Davis
2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003
2572003
Art, creativity, and the potential of artificial intelligence
M Mazzone, A Elgammal
Arts 8 (1), 26, 2019
2202019
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
2202019
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
2042004
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
1842020
Modeling view and posture manifolds for tracking
CS Lee, A Elgammal
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007
1842007
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
1802005
Method for detecting a face in a digital image
M Abdel-Mottaleb, A Elgammal
US Patent 6,263,113, 2001
1722001
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
1612019
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