| Non-parametric model for background subtraction A Elgammal, D Harwood, L Davis Computer Vision—ECCV 2000: 6th European Conference on Computer Vision …, 2000 | 3581 | 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 | 2288 | 2002 |
| Can: Creative adversarial networks, generating “art” by learning about styles and deviating from style norms A Elgammal arXiv preprint arXiv:1706.07068 6, 2017, 2017 | 786 | 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 | 564 | 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 | 494 | 2018 |
| Art, creativity, and the potential of artificial intelligence M Mazzone, A Elgammal Arts 8 (1), 26, 2019 | 476 | 2019 |
| 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 | 396 | 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 | 371 | 2016 |
| 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 | 363 | 2015 |
| 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 | 305 | 2020 |
| 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 | 298 | 2003 |
| Probabilistic framework for segmenting people under occlusion AE Elgammal, LS Davis Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001 | 285 | 2001 |
| 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 | 276 | 2019 |
| Probabilistic tracking in joint feature-spatial spaces A Elgammal, R Duraiswami, LS Davis 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003 | 261 | 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 | 260 | 2004 |
| 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 | 183 | 2005 |
| Method for detecting a face in a digital image M Abdel-Mottaleb, A Elgammal US Patent 6,263,113, 2001 | 183 | 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 | 182 | 2019 |
| 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 | 177 | 2018 |
Mohamed Elhoseiny, Ph.D.Associate Professor, KAUST (hiring postdocs & grad students)確認したメール アドレス: kaust.edu.sa