| Yolo3d: End-to-end real-time 3d oriented object bounding box detection from lidar point cloud W Ali, S Abdelkarim, M Zidan, M Zahran, A El Sallab Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 174 | 2018 |
| Modnet: Motion and appearance based moving object detection network for autonomous driving M Siam, H Mahgoub, M Zahran, S Yogamani, M Jagersand, A El-Sallab 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 101 | 2018 |
| Modnet: Moving object detection network with motion and appearance for autonomous driving M Siam, H Mahgoub, M Zahran, S Yogamani, M Jagersand, A El-Sallab arXiv preprint arXiv:1709.04821, 2017 | 48 | 2017 |
| Lidar sensor modeling and data augmentation with gans for autonomous driving AE Sallab, I Sobh, M Zahran, N Essam arXiv preprint arXiv:1905.07290, 2019 | 47 | 2019 |
| Yolo4d: A spatio-temporal approach for real-time multi-object detection and classification from lidar point clouds A El Sallab, I Sobh, M Zidan, M Zahran, S Abdelkarim | 32 | 2018 |
| Unsupervised neural sensor models for synthetic lidar data augmentation AE Sallab, I Sobh, M Zahran, M Shawky arXiv preprint arXiv:1911.10575, 2019 | 15 | 2019 |
| Motion forecasting with unlikelihood training in continuous space D Zhu, M Zahran, LE Li, M Elhoseiny Conference on Robot Learning, 1003-1012, 2022 | 14 | 2022 |
| End-to-end sensor modeling for LiDAR Point Cloud K Elmadawi, M Abdelrazek, M Elsobky, HM Eraqi, M Zahran 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1619-1624, 2019 | 8 | 2019 |
| Motion and appearance based moving object detection network for autonomous driving M Siam, H Mahgoub, M Zahran, S Yogamani, M Jagersand, AM El-Sallab Proceedings of the 2018 21st International Conference on Intelligent …, 2017 | 8 | 2017 |
| Halentnet: Multimodal trajectory forecasting with hallucinative intents D Zhu, M Zahran, LE Li, M Elhoseiny International Conference on Learning Representations, 2020 | 5 | 2020 |
| Motion and Appearance Based Multi-Task Learning Network for Autonomous Driving M Siam, H Mahgoub, M Zahran, S Yogamani, M Jagersand, A El-Sallab NIPS'17 workshop on Machine Learning for Intelligent Transportation Systems …, 2017 | 1 | 2017 |
| Training local artificial neural networks Mohamed Zahran, Ahmad El-Sallab, Waleed Ali DE Patent DE102020105485A1, 2021 | | 2021 |
| System und Verfahren zum Erfassen von Objekten in einer dreidimensionalen Umgebung eines Trägerfahrzeugs Mahmoud Elkhateeb, Mohamed Zahran, Ahmad El-Sallab DE Patent DE102019127306.4 A, 2021 | | 2021 |
| System and method for detecting an object in a three-dimensional environment of a carrier vehicle Hager Radi, Mohamed Zahran, Waleed Ali DE Patent DE102019127283.1 A, 2021 | | 2021 |
| Motion Forecasting with Unlikelihood Training D Zhu, M Zahran, LE Li, M Elhoseiny | | 2020 |
| System und Verfahren zum Analysieren einer durch eine Punktwolke dargestellten dreidimensionalen Umgebung durch tiefes Lernen MZ Ahmad El-Sallab DE Patent DE102018128531.0 A, 2020 | | 2020 |
Heba MahgoubTeaching Assistant, cairo universityVerified email at fci-cu.edu.eg
