| A multi-modal driver fatigue and distraction assessment system C Craye, A Rashwan, MS Kamel, F Karray International Journal of Intelligent Transportation Systems Research 14, 173-194, 2016 | 96 | 2016 |
| TensorFlow model garden H Yu, C Chen, X Du, Y Li, A Rashwan, L Hou, P Jin, F Yang, F Liu, J Kim, ... Model Garden for TensorFlow., 2020 | 89* | 2020 |
| Online and distributed bayesian moment matching for parameter learning in sum-product networks A Rashwan, H Zhao, P Poupart Artificial intelligence and statistics, 1469-1477, 2016 | 60 | 2016 |
| Matrix Nets: A new deep architecture for object detection A Rashwan, A Kalra, P Poupart Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 33 | 2019 |
| Online algorithms for sum-product networks with continuous variables P Jaini, A Rashwan, H Zhao, Y Liu, E Banijamali, Z Chen, P Poupart Conference on probabilistic graphical models, 228-239, 2016 | 29 | 2016 |
| Online structure learning for feed-forward and recurrent sum-product networks A Kalra, A Rashwan, WS Hsu, P Poupart, P Doshi, G Trimponias Advances in Neural Information Processing Systems 31, 2018 | 27 | 2018 |
| Discriminative training of sum-product networks by extended Baum-Welch A Rashwan, P Poupart, C Zhitang International Conference on Probabilistic Graphical Models, 356-367, 2018 | 20 | 2018 |
| Dataseg: Taming a universal multi-dataset multi-task segmentation model X Gu, Y Cui, J Huang, A Rashwan, X Yang, X Zhou, G Ghiasi, W Kuo, ... Advances in Neural Information Processing Systems 36, 2024 | 12 | 2024 |
| Dilated SpineNet for semantic segmentation A Rashwan, X Du, X Yin, J Li arXiv preprint arXiv:2103.12270, 2021 | 11 | 2021 |
| Matrixnets: A new scale and aspect ratio aware architecture for object detection A Rashwan, R Agarwal, A Kalra, P Poupart arXiv preprint arXiv:2001.03194, 2020 | 11 | 2020 |
| Car driver fatigue monitoring using hidden markov models and bayesian networks AM Rashwan, MS Kamel, F Karray 2013 International Conference on Connected Vehicles and Expo (ICCVE), 247-251, 2013 | 10 | 2013 |
| Fully connected network for HEVC CU split decision equipped with Laplacian transparent composite model H Amer, A Rashwan, E Yang 2018 Picture Coding Symposium (PCS), 189-193, 2018 | 9 | 2018 |
| Batch norm with entropic regularization turns deterministic autoencoders into generative models A Ghose, A Rashwan, P Poupart Conference on Uncertainty in Artificial Intelligence, 1079-1088, 2020 | 7 | 2020 |
| Adamv-moe: Adaptive multi-task vision mixture-of-experts T Chen, X Chen, X Du, A Rashwan, F Yang, H Chen, Z Wang, Y Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5 | 2023 |
| Discriminative training of feed-forward and recurrent sum-product networks by extended Baum-Welch H Duan, A Rashwan, P Poupart, Z Chen International Journal of Approximate Reasoning 124, 66-81, 2020 | 4 | 2020 |
| A robust omnifont open-vocabulary Arabic OCR system using pseudo-2D-HMM AM Rashwan, MA Rashwan, A Abdel-Hameed, S Abdou, AH Khalil Document Recognition and Retrieval XIX 8297, 44-51, 2012 | 4 | 2012 |
| Maskconver: A universal panoptic and semantic segmentation model with pure convolutions A Rashwan, Y Li, X Zhou, J Zhang, F Yang | 2* | 2022 |
| Automatic driver fatigue monitoring using hidden markov models and bayesian networks A Rashwan University of Waterloo, 2013 | 2 | 2013 |
| Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling K Yu, S Albro, G DeSalvo, S Kothawade, A Rashwan, S Tavakkol, ... arXiv preprint arXiv:2309.16139, 2023 | | 2023 |
| Parameter and Structure Learning Techniques for Sum Product Networks A Rashwan University of Waterloo, 2019 | | 2019 |
Pascal PoupartUniversity of WaterlooVerified email at uwaterloo.ca
