no code implementations • 14 Aug 2021 • Dina Tantawy, Mohamed Zahran, Amr Wassal
Thus, the architecture and numeric precision of the network affect the quality and speed of the solution.
no code implementations • 1 Jan 2021 • Deyao Zhu, Mohamed Zahran, Li Erran Li, Mohamed Elhoseiny
We propose a new objective, unlikelihood training, which forces generated trajectories that conflicts with contextual information to be assigned a lower probability by our model.
no code implementations • ICLR 2021 • Deyao Zhu, Mohamed Zahran, Li Erran Li, Mohamed Elhoseiny
Our model's learned representation leads to better and more semantically meaningful coverage of the trajectory distribution.
no code implementations • 27 Apr 2020 • Kevin Weston, Vahid Jafanza, Arnav Kansal, Abhishek Taur, Mohamed Zahran, Abdullah Muzahid
During the execution of an unseen application, the model uses the learned knowledge to reconfigure hardware resources in order to maximize energy efficiency.
no code implementations • 24 Nov 2019 • Ahmad El Sallab, Ibrahim Sobh, Mohamed Zahran, Mohamed Shawky
Evaluation is performed on unseen real LiDAR frames from KITTI dataset, with different amounts of simulated data augmentation using the two proposed approaches, showing improvement of 6% mAP for the object detection task, in favor of the augmenting LiDAR point clouds adapted with the proposed neural sensor models over the raw simulated LiDAR.
no code implementations • 17 Jul 2019 • Khaled Elmadawi, Moemen Abdel-Razek, Mohamed Elsobky, Hesham M. Eraqi, Mohamed Zahran
The major problem with such approaches is that the amount of training data required for generalizing a machine learning model is big, and on the other hand LiDAR data annotation is very costly compared to other car sensors.
1 code implementation • 17 May 2019 • Ahmad El Sallab, Ibrahim Sobh, Mohamed Zahran, Nader Essam
Simulators are often used for data augmentation, which requires realistic sensor models that are hard to formulate and model in closed forms.
3 code implementations • 7 Aug 2018 • Waleed Ali, Sherif Abdelkarim, Mohamed Zahran, Mahmoud Zidan, Ahmad El Sallab
LiDAR sensors are employed to provide the 3D point cloud reconstruction of the surrounding environment, while the task of 3D object bounding box detection in real time remains a strong algorithmic challenge.
no code implementations • 14 Sep 2017 • Mennatullah Siam, Heba Mahgoub, Mohamed Zahran, Senthil Yogamani, Martin Jagersand, Ahmad El-Sallab
Our experiments show that the proposed method outperforms state of the art methods that utilize motion cue only with 21. 5% in mAP on KITTI MOD.