Khaled Saleh
Orcid: 0000-0002-2589-179X
According to our database1,
Khaled Saleh
authored at least 51 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Automatic Accident Detection, Segmentation and Duration Prediction Using Machine Learning.
IEEE Trans. Intell. Transp. Syst., February, 2024
Integrating Large Language Models for Severity Classification in Traffic Incident Management: A Machine Learning Approach.
CoRR, 2024
2023
J. Sci. Comput., December, 2023
VoxelScape: Large Scale Simulated 3D Point Cloud Dataset of Urban Traffic Environments.
IEEE Trans. Intell. Transp. Syst., September, 2023
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Traffic Accident Risk Forecasting using Contextual Vision Transformers with Static Map Generation and Coarse-Fine-Coarse Transformers.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
SIAM J. Numer. Anal., August, 2022
Pedestrian Trajectory Prediction for Real-Time Autonomous Systems via Context-Augmented Transformer Networks.
Sensors, 2022
Real-time Attention-Augmented Spatio-Temporal Networks for Video-based Driver Activity Recognition.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Traffic incident duration prediction via a deep learning framework for text description encoding.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Proceedings of the International Conference on Multimodal Interaction, 2022
Video-Based Student Engagement Estimation via Time Convolution Neural Networks for Remote Learning.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022
2021
Fast intent prediction of multi-cyclists in 3D point cloud data using deep neural networks.
Neurocomputing, 2021
Improving Users Engagement Detection using End-to-End Spatio-Temporal Convolutional Neural Networks.
Proceedings of the Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 2021
2020
Contextual Recurrent Predictive Model for Long-Term Intent Prediction of Vulnerable Road Users.
IEEE Trans. Intell. Transp. Syst., 2020
Spatio-temporal DenseNet for real-time intent prediction of pedestrians in urban traffic environments.
Neurocomputing, 2020
CoRR, 2020
Fast Synthetic LiDAR Rendering via Spherical UV Unwrapping of Equirectangular Z-Buffer Images.
CoRR, 2020
2019
Improvement of the Hydrostatic Reconstruction Scheme to Get Fully Discrete Entropy Inequalities.
J. Sci. Comput., 2019
Improving Opportunities in Healthcare Supply Chain Processes via the Internet of Things and Blockchain Technology.
Int. J. Heal. Inf. Syst. Informatics, 2019
CoRR, 2019
CoRR, 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
A k-NN Classification based VR User Verification using Eye Movement and Ocular Biomechanics.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Real-time Intent Prediction of Pedestrians for Autonomous Ground Vehicles via Spatio-Temporal DenseNet.
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
2018
Intent Prediction of Pedestrians via Motion Trajectories Using Stacked Recurrent Neural Networks.
IEEE Trans. Intell. Veh., 2018
Effective Vehicle-Based Kangaroo Detection for Collision Warning Systems Using Region-Based Convolutional Networks.
Sensors, 2018
Manag. Sci., 2018
Proceedings of the 2018 Annual IEEE International Systems Conference, 2018
End-to-End Indoor Navigation Assistance for the Visually Impaired Using Monocular Camera.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Reliable Switching Mechanism for Low Cost Multi-screen Eye Tracking Devices via Deep Recurrent Neural Networks.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Age-Related Effects of Multi-screen Setup on Task Performance and Eye Movement Characteristics.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Long-Term Recurrent Predictive Model for Intent Prediction of Pedestrians via Inverse Reinforcement Learning.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
2017
J. Comput. Phys., 2017
Proceedings of the 2017 Annual IEEE International Systems Conference, 2017
Navigational path detection for the visually impaired using fully convolutional networks.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Early intent prediction of vulnerable road users from visual attributes using multi-task learning network.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Intent prediction of vulnerable road users from motion trajectories using stacked LSTM network.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017
2016
Kangaroo Vehicle Collision Detection Using Deep Semantic Segmentation Convolutional Neural Network.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016