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ORCIDAhmed Abobakr
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2020 – today
- 2023
[j4]Khaled Saleh
, Mohammed Hossny, Ahmed Abobakr, Mohammed Hassan Attia, Julie Iskander:
VoxelScape: Large Scale Simulated 3D Point Cloud Dataset of Urban Traffic Environments. IEEE Trans. Intell. Transp. Syst. 24(9): 9435-9448 (2023)- 2022
- [j3]Marwa Ahmed, Ahmed Abobakr, Chee Peng Lim, Saeid Nahavandi:
Policy-Based Reinforcement Learning for Training Autonomous Driving Agents in Urban Areas With Affordance Learning. IEEE Trans. Intell. Transp. Syst. 23(8): 12562-12571 (2022) - 2021
- [j2]Khaled Saleh, Ahmed Abobakr, Mohammed Hossny, Darius Nahavandi, Julie Iskander, Mohammed Hassan Attia, Saeid Nahavandi:
Fast intent prediction of multi-cyclists in 3D point cloud data using deep neural networks. Neurocomputing 465: 205-214 (2021) - 2020
- [i3]Mohammed Hossny, Khaled Saleh, Mohammed Hassan Attia, Ahmed Abobakr, Julie Iskander:
Fast Synthetic LiDAR Rendering via Spherical UV Unwrapping of Equirectangular Z-Buffer Images. CoRR abs/2006.04345 (2020)
2010 – 2019
- 2019
- [c17]Syed Moshfeq Salaken, Saeid Nahavandi, Conor McGinn, Mohammed Hossny, Kevin Kelly, Ahmed Abobakr, Darius Nahavandi, Julie Iskander:
Development of a Cloud-based Computational Framework for an Empathetic Robot. ICCAE 2019: 102-108 - [c16]Khaled Saleh, Ahmed Abobakr, Mohammed Hassan Attia, Julie Iskander, Darius Nahavandi, Mohammed Hossny, Saeid Nahavandi:
Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point Cloud Data. ICCV Workshops 2019: 3235-3242 - [c15]Khaled Saleh, Ahmed Abobakr, Darius Nahavandi, Julie Iskander, Mohammed Hassan Attia, Mostafa Hossny, Saeid Nahavandi:
Cyclist Intent Prediction using 3D LIDAR Sensors for Fully Automated Vehicles. ITSC 2019: 2020-2026 - [c14]Ahmed Abobakr, Mohammed Hossny, Saeid Nahavandi:
SSIMLayer: Towards Robust Deep Representation Learning via Nonlinear Structural Similarity. SMC 2019: 1234-1238 - [c13]Marwa Ahmed, Khaled Saleh, Ahmed Abobakr, Saeid Nahavandi:
Scenario Generation-Based Training in Simulation: Pilot Study. SMC 2019: 1239-1244 - [c12]Julie Iskander, Ahmed Abobakr, Mohammed Hassan Attia, Khaled Saleh, Darius Nahavandi, Mohammed Hossny, Saeid Nahavandi:
A k-NN Classification based VR User Verification using Eye Movement and Ocular Biomechanics. SMC 2019: 1844-1848 - [c11]Julie Iskander, Mohammed Hassan Attia, Khaled Saleh, Ahmed Abobakr, Darius Nahavandi, Mohammed Hossny, Saeid Nahavandi:
Exploring the Effect of Virtual Depth on Pupil Diameter. SMC 2019: 1849-1854 - [c10]Mohammed Hassan Attia, MennattAllah H. Attia, Julie Iskander, Khaled Saleh, Darius Nahavandi, Ahmed Abobakr, Mohammed Hossny, Saeid Nahavandi:
Fingerprint Synthesis Via Latent Space Representation. SMC 2019: 1855-1861 - [c9]Ahmed Abobakr, Hala Abdelkader, Julie Iskander, Darius Nahavandi, Khaled Saleh, Mohammed Hassan Attia, Mohammed Hossny, Saeid Nahavandi:
SSDPose: A Single Shot Deep Pose Estimation and Analysis. SMC 2019: 1862-1868 - [c8]Mohammed Hassan Attia, Ahmed Abobakr, Lei Wei, Khaled Saleh, Julie Iskander, H. Zhou, Darius Nahavandi, Mostafa Hossny, Saeid Nahavandi:
High Frame Rate Photorealistic Flame Rendering via Generative Adversarial Networks. SMC 2019: 2391-2396 - [i2]Khaled Saleh, Ahmed Abobakr, Mohammed Hassan Attia, Julie Iskander, Darius Nahavandi, Mohammed Hossny:
Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point Cloud Data. CoRR abs/1905.08955 (2019) - 2018
- [j1]Ahmed Abobakr, Mohammed Hossny, Saeid Nahavandi:
A Skeleton-Free Fall Detection System From Depth Images Using Random Decision Forest. IEEE Syst. J. 12(3): 2994-3005 (2018) - [c7]Ahmed Abobakr, Mohammed Hossny, Hala Abdelkader, Saeid Nahavandi:
RGB-D Fall Detection via Deep Residual Convolutional LSTM Networks. DICTA 2018: 1-7 - [c6]Darius Nahavandi, Ahmed Abobakr, Julie Iskander, Mohammed Hossny:
A Pilot Study on Footprint Posture Classification of Passengers in Light Rail Public Transport via Deep Convolutional Neural Networks. ITSC 2018: 2724-2728 - [c5]Darius Nahavandi, Ahmed Abobakr, Hussein Haggag, Mohammed Hossny:
A Low Cost Anthropometric Body Scanning System Using Depth Cameras. SMC 2018: 3486-3491 - [i1]Ahmed Abobakr, Mohammed Hossny, Saeid Nahavandi:
SSIMLayer: Towards Robust Deep Representation Learning via Nonlinear Structural Similarity. CoRR abs/1806.09152 (2018) - 2017
- [c4]Darius Nahavandi, Ahmed Abobakr, Hussein Haggag, Mohammed Hossny:
A skeleton-free body surface area estimation from depth images using deep neural networks. SMC 2017: 2707-2711 - [c3]Ahmed Abobakr, Darius Nahavandi, Julie Iskander, Mohammed Hossny, Saeid Nahavandi, Marty Smets:
RGB-D human posture analysis for ergonomie studies using deep convolutional neural network. SMC 2017: 2885-2890 - 2016
- [c2]Hussein Haggag, Ahmed Abobakr, Mohammed Hossny, Saeid Nahavandi:
Semantic body parts segmentation for quadrupedal animals. SMC 2016: 855-860 - [c1]Ahmed Abobakr, Mohammed Hossny, Saeid Nahavandi:
Body joints regression using deep convolutional neural networks. SMC 2016: 3281-3287
Coauthor Index
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