| Write a Classifier: Zero shot learning using purely textual descriptions M Elhoseiny, B Saleh, A Elgammal International Conference on Computer Vision (ICCV), 2013 | 388 | 2013 |
| Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature B Saleh, A Elgammal International Conference on Data Mining Workshops, 2015 | 336 | 2015 |
| Toward automated discovery of artistic influence B Saleh, K Abe, RS Arora, A Elgammal Multimedia Tools and Applications 75, 3565-3591, 2016 | 126 | 2016 |
| Quantifying Creativity in Art Networks A Elgammal, B Saleh International Conference on Computational Creativity (ICCC), 2015 | 110 | 2015 |
| Object-centeric anomaly detection by atribute-based reasoning B Saleh, A Farhadi, A Elgammal Conference on Computer Vision and Pattern Recognition (CVPR), 2013 | 94 | 2013 |
| Object-Centric Anomaly Detection by Attribute-Based Reasoning B Saleh, A Farhadi, A Elgammal Conference on Computer Vision and Pattern Recognition (CVPR), 2013 | 94 | 2013 |
| Learning Style Similarity for Searching Infographics B Saleh, M Dontcheva, A Hertzmann, Z Liu 41st annual conference on Graphics Interface (GI) 2015, 2015 | 56 | 2015 |
| Write a classifier: Predicting visual classifiers from unstructured text M Elhoseiny, A Elgammal, B Saleh IEEE transactions on pattern analysis and machine intelligence 39 (12), 2539 …, 2016 | 54 | 2016 |
| A unified framework for painting classification B Saleh, A Elgammal 2015 IEEE International Conference on Data Mining Workshop (ICDMW), 1254-1261, 2015 | 24 | 2015 |
| Knowledge Discovery of Artistic Influences: A Metric Learning Approach B Saleh, K Abe, A Elgammal International Conference on Computational Creativity (ICCC), 2014 | 17 | 2014 |
| Toward a Taxonomy and Computational Models of Abnormalities in Images B Saleh, A Elgammal, J Feldman, A Farhadi The Thirtieth AAAI Conference on Artificial Intelligence (AAAI), 2016 | 16 | 2016 |
| The role of typicality in object classification: Improving the generalization capacity of convolutional neural networks B Saleh, A Elgammal, J Feldman arXiv preprint arXiv:1602.02865, 2016 | 13 | 2016 |
| An Early Framework for Determining Artistic Influence K Abe, B Saleh, A Elgammal International Conference on Image Analysis and Processing (ICIAP), 2013 | 10 | 2013 |
| Quantifying creativity in auditory and visual mediums A Elgammal, B Saleh US Patent App. 15/612,771, 2017 | 4 | 2017 |
| Incorporating Prototype Theory in Convolutional Neural Networks. B Saleh, AM Elgammal, J Feldman IJCAI, 3446-3453, 2016 | 3 | 2016 |
| Tell and predict: Kernel classifier prediction for unseen visual classes from unstructured text descriptions M Elhoseiny, A Elgammal, B Saleh arXiv preprint arXiv:1506.08529, 2015 | 3 | 2015 |
| Heterogeneous domain adaptation: Learning visual classifiers from textual description M Elhoseiny, B Saleh, A Elgammal ICCVW, 2013 | 2 | 2013 |
| A novel framework for understanding atypical images B Saleh Rutgers University-Graduate School-New Brunswick, 2017 | 1 | 2017 |
| Wow! that looks strange: computational models for detection and reasoning about abnormalities in images B Saleh AI Matters 2 (3), 16-17, 2016 | | 2016 |
| Abnormal Object Recognition: A Comprehensive Study B Saleh, A Farhadi, A Elgammal arXiv preprint arXiv:1411.2214, 2014 | | 2014 |
Ahmed ElgammalRutgers UniversityEmail verificata su cs.rutgers.edu