Spremljaj
Ahmed Elgammal
Ahmed Elgammal
Rutgers University
Preverjeni e-poštni naslov na cs.rutgers.edu - Domača stran
Naslov
Navedeno
Navedeno
Leto
Non-parametric model for background subtraction
A Elgammal, D Harwood, L Davis
Computer Vision—ECCV 2000: 6th European Conference on Computer Vision …, 2000
35782000
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
22902002
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
7932017
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
5592004
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
4932018
Art, creativity, and the potential of artificial intelligence
M Mazzone, A Elgammal
Arts 8 (1), 26, 2019
4872019
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
3902013
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
3752015
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
3702016
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis.
B Liu, Y Zhu, K Song, A Elgammal
iclr, 2021
3062021
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
2962003
Probabilistic framework for segmenting people under occlusion
AE Elgammal, LS Davis
Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001
2842001
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
2762019
Separating style and content on a nonlinear manifold
A Elgammal, CS Lee
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004
2602004
Probabilistic tracking in joint feature-spatial spaces
A Elgammal, R Duraiswami, LS Davis
2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003
2582003
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
2062004
Method for detecting a face in a digital image
M Abdel-Mottaleb, A Elgammal
US Patent 6,263,113, 2001
1852001
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
1832005
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
1822019
The shape of art history in the eyes of the machine
A Elgammal, B Liu, D Kim, M Elhoseiny, M Mazzone
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
1782018
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