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ORCIDKhaled Saleh
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2020 – today
- 2024
[j14]Artur Grigorev
, Adriana Simona Mihaita, Khaled Saleh, Fang Chen:
Automatic Accident Detection, Segmentation and Duration Prediction Using Machine Learning. IEEE Trans. Intell. Transp. Syst. 25(2): 1547-1568 (2024)- [i10]Artur Grigorev, Khaled Saleh, Yuming Ou, Adriana Simona Mihaita:
Integrating Large Language Models for Severity Classification in Traffic Incident Management: A Machine Learning Approach. CoRR abs/2403.13547 (2024) - [i9]Artur Grigorev, Khaled Saleh, Yuming Ou:
IncidentResponseGPT: Generating Traffic Incident Response Plans with Generative Artificial Intelligence. CoRR abs/2404.18550 (2024) - 2023
- [j13]Christophe Berthon, Manuel Jesús Castro Díaz, Arnaud Duran, Tomás Morales de Luna, Khaled Saleh:
Artificial Viscosity to Get Both Robustness and Discrete Entropy Inequalities. J. Sci. Comput. 97(3) (2023) - [j12]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) - [c31]Khaled Saleh, Adriana Simona Mihaita, Yuming Ou:
Metro Ridership Forecasting using Inter-Station-Aware Transformer Networks. ITSC 2023: 1215-1220 - [c30]Artur Grigorev, Khaled Saleh, Adriana Simona Mihaita:
Traffic Accident Risk Forecasting using Contextual Vision Transformers with Static Map Generation and Coarse-Fine-Coarse Transformers. ITSC 2023: 4762-4769 - 2022
- [j11]Khaled Saleh:
Pedestrian Trajectory Prediction for Real-Time Autonomous Systems via Context-Augmented Transformer Networks. Sensors 22(19): 7495 (2022) - [j10]Charlotte Perrin, Khaled Saleh:
Numerical Staggered Schemes for the Free-Congested Navier-Stokes Equations. SIAM J. Numer. Anal. 60(4): 1824-1852 (2022) - [c29]Khaled Saleh, Kun Yu, Fang Chen:
Video-Based Student Engagement Estimation via Time Convolution Neural Networks for Remote Learning. AI 2022: 658-667 - [c28]Khaled Saleh:
Hybrid Seq2Seq Architecture for 3D Co-Speech Gesture Generation. ICMI 2022: 748-752 - [c27]Khaled Saleh, Adriana Simona Mihaita, Kun Yu, Fang Chen:
Real-time Attention-Augmented Spatio-Temporal Networks for Video-based Driver Activity Recognition. ITSC 2022: 1579-1585 - [c26]Artur Grigorev, Adriana Simona Mihaita, Khaled Saleh, Massimo Piccardi:
Traffic incident duration prediction via a deep learning framework for text description encoding. ITSC 2022: 1770-1777 - [c25]Khaled Saleh, Artur Grigorev, Adriana Simona Mihaita:
Traffic Accident Risk Forecasting using Contextual Vision Transformers. ITSC 2022: 2086-2092 - [i8]Artur Grigorev, Adriana Simona Mihaita, Khaled Saleh, Massimo Piccardi:
Traffic incident duration prediction via a deep learning framework for text description encoding. CoRR abs/2209.08735 (2022) - [i7]Khaled Saleh, Artur Grigorev, Adriana Simona Mihaita:
Traffic Accident Risk Forecasting using Contextual Vision Transformers. CoRR abs/2209.11180 (2022) - 2021
- [j9]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) - [c24]Khaled Saleh, Kun Yu, Fang Chen:
Improving Users Engagement Detection using End-to-End Spatio-Temporal Convolutional Neural Networks. HRI (Companion) 2021: 190-194 - 2020
- [j8]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Spatio-temporal DenseNet for real-time intent prediction of pedestrians in urban traffic environments. Neurocomputing 386: 317-324 (2020) - [j7]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Contextual Recurrent Predictive Model for Long-Term Intent Prediction of Vulnerable Road Users. IEEE Trans. Intell. Transp. Syst. 21(8): 3398-3408 (2020) - [i6]Mohammed Hossny, Julie Iskander, Mohammed Hassan Attia, Khaled Saleh:
Refined Continuous Control of DDPG Actors via Parametrised Activation. CoRR abs/2006.02818 (2020) - [i5]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) - [i4]Khaled Saleh:
Pedestrian Trajectory Prediction using Context-Augmented Transformer Networks. CoRR abs/2012.01757 (2020)
2010 – 2019
- 2019
- [j6]Raja Jayaraman, Khaled Saleh, Nelson King:
Improving Opportunities in Healthcare Supply Chain Processes via the Internet of Things and Blockchain Technology. Int. J. Heal. Inf. Syst. Informatics 14(2): 49-65 (2019) - [j5]Christophe Berthon, Arnaud Duran, Françoise Foucher, Khaled Saleh, Jean de Dieu Zabsonré:
Improvement of the Hydrostatic Reconstruction Scheme to Get Fully Discrete Entropy Inequalities. J. Sci. Comput. 80(2): 924-956 (2019) - [c23]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 - [c22]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Real-time Intent Prediction of Pedestrians for Autonomous Ground Vehicles via Spatio-Temporal DenseNet. ICRA 2019: 9704-9710 - [c21]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 - [c20]Seyed Mohammad Jafar Jalali, Parham M. Kebria, Abbas Khosravi, Khaled Saleh, Darius Nahavandi, Saeid Nahavandi:
Optimal Autonomous Driving Through Deep Imitation Learning and Neuroevolution. SMC 2019: 1215-1220 - [c19]Marwa Ahmed, Khaled Saleh, Ahmed Abobakr, Saeid Nahavandi:
Scenario Generation-Based Training in Simulation: Pilot Study. SMC 2019: 1239-1244 - [c18]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 - [c17]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 - [c16]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 - [c15]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 - [c14]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 - [i3]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Real-time Intent Prediction of Pedestrians for Autonomous Ground Vehicles via Spatio-Temporal DenseNet. CoRR abs/1904.09862 (2019) - [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) - [i1]Charlotte Perrin, Khaled Saleh:
A convergent FV-FEM scheme for the stationary compressible Navier-Stokes equations. CoRR abs/1907.03610 (2019) - 2018
- [j4]Kamalini Ramdas, Khaled Saleh, Steven Stern, Haiyan Liu:
Variety and Experience: Learning and Forgetting in the Use of Surgical Devices. Manag. Sci. 64(6): 2590-2608 (2018) - [j3]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Effective Vehicle-Based Kangaroo Detection for Collision Warning Systems Using Region-Based Convolutional Networks. Sensors 18(6): 1913 (2018) - [j2]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Intent Prediction of Pedestrians via Motion Trajectories Using Stacked Recurrent Neural Networks. IEEE Trans. Intell. Veh. 3(4): 414-424 (2018) - [c13]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Cyclist Trajectory Prediction Using Bidirectional Recurrent Neural Networks. Australasian Conference on Artificial Intelligence 2018: 284-295 - [c12]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Long-Term Recurrent Predictive Model for Intent Prediction of Pedestrians via Inverse Reinforcement Learning. DICTA 2018: 1-8 - [c11]Julie Iskander, Dawei Jia, Imali Hettiarachchi, Mohammed Hossny, Khaled Saleh, Saeid Nahavandi, Christopher J. Best, Simon G. Hosking, Benjamin Rice, Asim Bhatti, Samer Hanoun:
Age-Related Effects of Multi-screen Setup on Task Performance and Eye Movement Characteristics. SMC 2018: 3480-3485 - [c10]Khaled Saleh, Julie Iskander, Dawei Jia, Mohammed Hossny, Saeid Nahavandi, Christopher J. Best, Simon G. Hosking, Benjamin Rice, Asim Bhatti, Samer Hanoun:
Reliable Switching Mechanism for Low Cost Multi-screen Eye Tracking Devices via Deep Recurrent Neural Networks. SMC 2018: 3492-3497 - [c9]Khaled Saleh, Ramy A. Zeineldin, Mohammed Hossny, Saeid Nahavandi, Nawal A. El-Fishawy:
End-to-End Indoor Navigation Assistance for the Visually Impaired Using Monocular Camera. SMC 2018: 3504-3510 - [c8]Khaled Saleh, Mohammed Hassan Attia, Mohammed Hossny, Samer Hanoun, Syed Moshfeq Salaken, Saeid Nahavandi:
Local Motion Planning for Ground Mobile Robots via Deep Imitation Learning. SMC 2018: 4077-4082 - [c7]Julie Iskander, Samer Hanoun, Imali Hettiarachchi, Mostafa Hossny, Khaled Saleh, H. Zhou, Sofia Nahavandi, Asim Bhatti:
Eye behaviour as a hazard perception measure. SysCon 2018: 1-6 - 2017
- [j1]Frédéric Coquel, Jean-Marc Hérard, Khaled Saleh:
A positive and entropy-satisfying finite volume scheme for the Baer-Nunziato model. J. Comput. Phys. 330: 401-435 (2017) - [c6]Khaled Saleh, Mohammed Hossny, Ahmed Hossny, Saeid Nahavandi:
Cyclist detection in LIDAR scans using faster R-CNN and synthetic depth images. ITSC 2017: 1-6 - [c5]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Intent prediction of vulnerable road users from motion trajectories using stacked LSTM network. ITSC 2017: 327-332 - [c4]Khaled Saleh, Ramy A. Zeineldin, Mohammed Hossny, Saeid Nahavandi, Nawal A. El-Fishawy:
Navigational path detection for the visually impaired using fully convolutional networks. SMC 2017: 1399-1404 - [c3]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Early intent prediction of vulnerable road users from visual attributes using multi-task learning network. SMC 2017: 3367-3372 - [c2]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Towards trusted autonomous vehicles from vulnerable road users perspective. SysCon 2017: 1-7 - 2016
- [c1]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Kangaroo Vehicle Collision Detection Using Deep Semantic Segmentation Convolutional Neural Network. DICTA 2016: 1-7
Coauthor Index
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last updated on 2024-08-05 20:22 CEST by the dblp team
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