Khaled Saleh

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 55

Top Topics

Monocular Camera

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

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) (2024)
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 (2024)
Artur Grigorev, Khaled Saleh, Yuming Ou
IncidentResponseGPT: Generating Traffic Incident Response Plans with Generative Artificial Intelligence. CoRR (2024)
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)
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)
Khaled Saleh, Adriana Simona Mihaita, Yuming Ou
Metro Ridership Forecasting using Inter-Station-Aware Transformer Networks. ITSC (2023)
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) (2023)
Khaled Saleh, Artur Grigorev, Adriana Simona Mihaita
Traffic Accident Risk Forecasting using Contextual Vision Transformers. CoRR (2022)
Artur Grigorev, Adriana Simona Mihaita, Khaled Saleh, Massimo Piccardi
Traffic incident duration prediction via a deep learning framework for text description encoding. CoRR (2022)
Charlotte Perrin, Khaled Saleh
Numerical Staggered Schemes for the Free-Congested Navier-Stokes Equations. SIAM J. Numer. Anal. 60 (4) (2022)
Khaled Saleh, Artur Grigorev, Adriana Simona Mihaita
Traffic Accident Risk Forecasting using Contextual Vision Transformers. ITSC (2022)
Khaled Saleh
Hybrid Seq2Seq Architecture for 3D Co-Speech Gesture Generation. ICMI (2022)
Khaled Saleh
Pedestrian Trajectory Prediction for Real-Time Autonomous Systems via Context-Augmented Transformer Networks. Sensors 22 (19) (2022)
Khaled Saleh, Adriana Simona Mihaita, Kun Yu, Fang Chen
Real-time Attention-Augmented Spatio-Temporal Networks for Video-based Driver Activity Recognition. ITSC (2022)
Artur Grigorev, Adriana Simona Mihaita, Khaled Saleh, Massimo Piccardi
Traffic incident duration prediction via a deep learning framework for text description encoding. ITSC (2022)
Khaled Saleh, Kun Yu, Fang Chen
Video-Based Student Engagement Estimation via Time Convolution Neural Networks for Remote Learning. AI (2022)
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 (2021)
Khaled Saleh, Kun Yu, Fang Chen
Improving Users Engagement Detection using End-to-End Spatio-Temporal Convolutional Neural Networks. HRI (Companion) (2021)
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) (2020)
Khaled Saleh, Mohammed Hossny, Saeid Nahavandi
Spatio-temporal DenseNet for real-time intent prediction of pedestrians in urban traffic environments. Neurocomputing 386 (2020)
Mohammed Hossny, Julie Iskander, Mohammed Hassan Attia, Khaled Saleh
Refined Continuous Control of DDPG Actors via Parametrised Activation. CoRR (2020)
Khaled Saleh
Pedestrian Trajectory Prediction using Context-Augmented Transformer Networks. CoRR (2020)
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 (2020)
Mohammed Hassan Attia, Ahmed Abobakr, L. 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)
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)
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)
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)
Marwa Ahmed, Khaled Saleh, Ahmed Abobakr, Saeid Nahavandi
Scenario Generation-Based Training in Simulation: Pilot Study. SMC (2019)
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)
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)
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 (2019)
Charlotte Perrin, Khaled Saleh
A convergent FV-FEM scheme for the stationary compressible Navier-Stokes equations. CoRR (2019)
Khaled Saleh, Mohammed Hossny, Saeid Nahavandi
Real-time Intent Prediction of Pedestrians for Autonomous Ground Vehicles via Spatio-Temporal DenseNet. ICRA (2019)
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)
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) (2019)
Khaled Saleh, Mohammed Hossny, Saeid Nahavandi
Real-time Intent Prediction of Pedestrians for Autonomous Ground Vehicles via Spatio-Temporal DenseNet. CoRR (2019)
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)
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) (2019)
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)
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)
Khaled Saleh, Mohammed Hossny, Saeid Nahavandi
Long-Term Recurrent Predictive Model for Intent Prediction of Pedestrians via Inverse Reinforcement Learning. DICTA (2018)
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)
Khaled Saleh, Mohammed Hossny, Saeid Nahavandi
Intent Prediction of Pedestrians via Motion Trajectories Using Stacked Recurrent Neural Networks. IEEE Trans. Intell. Veh. 3 (4) (2018)
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)
Kamalini Ramdas, Khaled Saleh, Steven Stern, Haiyan Liu
Variety and Experience: Learning and Forgetting in the Use of Surgical Devices. Manag. Sci. 64 (6) (2018)
Khaled Saleh, Mohammed Hossny, Saeid Nahavandi
Cyclist Trajectory Prediction Using Bidirectional Recurrent Neural Networks. Australasian Conference on Artificial Intelligence (2018)
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)
Khaled Saleh, Mohammed Hossny, Saeid Nahavandi
Effective Vehicle-Based Kangaroo Detection for Collision Warning Systems Using Region-Based Convolutional Networks. Sensors 18 (6) (2018)
Frédéric Coquel, Jean-Marc Hérard, Khaled Saleh
A positive and entropy-satisfying finite volume scheme for the Baer-Nunziato model. J. Comput. Phys. 330 (2017)
Khaled Saleh, Mohammed Hossny, Saeid Nahavandi
Towards trusted autonomous vehicles from vulnerable road users perspective. SysCon (2017)
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)
Khaled Saleh, Mohammed Hossny, Saeid Nahavandi
Intent prediction of vulnerable road users from motion trajectories using stacked LSTM network. ITSC (2017)
Khaled Saleh, Mohammed Hossny, Saeid Nahavandi
Early intent prediction of vulnerable road users from visual attributes using multi-task learning network. SMC (2017)
Khaled Saleh, Mohammed Hossny, Ahmed Hossny, Saeid Nahavandi
Cyclist detection in LIDAR scans using faster R-CNN and synthetic depth images. ITSC (2017)
Khaled Saleh, Mohammed Hossny, Saeid Nahavandi
Kangaroo Vehicle Collision Detection Using Deep Semantic Segmentation Convolutional Neural Network. DICTA (2016)