| Memory Aware Synapses: Learning what (not) to forget R Aljundi, F Babiloni, M Elhoseiny, M Rohrbach, T Tuytelaars European Conference on Computer Vision (ECCV), 2018 | 1231 | 2018 |
| Efficient Lifelong Learning with A-GEM A Chaudhry, MA Ranzato, M Rohrbach, M Elhoseiny International Conference on Learning Representations (ICLR), 2019 | 1104 | 2019 |
| Continual learning with tiny episodic memories A Chaudhry, M Rohrbach, M Elhoseiny, T Ajanthan, P Dokania, P Torr, ... Workshop on Multi-Task and Lifelong Reinforcement Learning, 2019 | 621* | 2019 |
| Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction A Mohamed, K Qian, M *Elhoseiny, C *Claudel, * EqualAdvising 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 611 | 2020 |
| CAN: Creative Adversarial Networks, Generating" Art" by Learning About Styles and Deviating from Style Norms A Elgammal, B Liu, M Elhoseiny, M Mazzone International Conference on Computational Creativity (ICCC), 2017 | 582* | 2017 |
| Imagine it for me: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts Y Zhu, M Elhoseiny, B Liu, A Elgammal CVPR, 2018 | 436* | 2018 |
| Minigpt-4: Enhancing vision-language understanding with advanced large language models D Zhu, J Chen, X Shen, X Li, M Elhoseiny arXiv preprint arXiv:2304.10592, 2023 | 378 | 2023 |
| 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 | 359 | 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 CVPR, 2016 | 334 | 2016 |
| PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies G Qian, Y Li, H Peng, J Mai, HAAK Hammoud, M Elhoseiny, B Ghanem Thirty-Sixth Conference on Neural Information Processing Systems. NeurIPS 2022, 2022 | 206 | 2022 |
| Uncertainty-guided Continual Learning with Bayesian Neural Networks S Ebrahimi, M Elhoseiny, T Darrell, M Rohrbach International Conference on Learning Representations (ICLR), 2020 | 200 | 2020 |
| Large-Scale Visual Relationship Understanding J Zhang, Y Kalantidis, M Rohrbach, M Paluri, A Elgammal, M Elhoseiny AAAI, 2019 | 160 | 2019 |
| ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes P Achlioptas, A Abdelreheem, F Xia, M Elhoseiny, L Guibas 16th European Conference on Computer Vision (ECCV), 2020 | 139 | 2020 |
| Learning hypergraph-regularized attribute predictors S Huang, M Elhoseiny, A Elgammal, D Yang Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 134 | 2015 |
| Adversarial Generation of Continuous Images I Skorokhodov, S Ignatyev, M Elhoseiny 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 133 | 2021 |
| Link the head to the" beak": Zero shot learning from noisy text description at part precision M Elhoseiny, Y Zhu, H Zhang, A Elgammal Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 132 | 2017 |
| The Shape of Art History in the Eyes of the Machine A Elgammal, M Mazzone, B Liu, D Kim, M Elhoseiny AAAI, 2018 | 130 | 2018 |
| Weather classification with deep convolutional neural networks M Elhoseiny, S Huang, A Elgammal 2015 IEEE international conference on image processing (ICIP), 3349-3353, 2015 | 126 | 2015 |
| StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2 I Skorokhodov, S Tulyakov, M Elhoseiny 2022 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 125 | 2022 |
| Relationship Proposal Networks J Zhang*, M Elhoseiny*, S Cohen, W Chang, A Elgammal, ... Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017 | 124 | 2017 |
Ahmed ElgammalRutgers UniversityVerified email at cs.rutgers.edu
