Showing results 1 to 20 of 26
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| Issue Date | Title | Author(s) |
| 2019 | A k-NN Classification based VR User Verification using Eye Movement and Ocular Biomechanics | Iskander, J; Abobakr, A; Attia, M; Saleh, K; Nahavandi, D; Hossny, M; Nahavandi, S |
| 2020 | Contextual Recurrent Predictive Model for Long-Term Intent Prediction of Vulnerable Road Users | Saleh, K; Hossny, M; Nahavandi, S |
| 2019 | Cyclist Intent Prediction using 3D LIDAR Sensors for Fully Automated Vehicles | Saleh, K; Abobakr, A; Nahavandi, D; Iskander, J; Attia, M; Hossny, M; Nahavandi, S |
| 2020 | Domain adaptation for vehicle detection from bird's eye view lidar point cloud data | Saleh, K; Abobakr, A; Attia, M; Iskander, J; Nahavandi, D; Hossny, M; Nahvandi, S |
| 2018 | Effective Vehicle-Based Kangaroo Detection for Collision Warning Systems Using Region-Based Convolutional Networks. | Saleh, K; Hossny, M; Nahavandi, S |
| 2019 | Exploring the Effect of Virtual Depth on Pupil Diameter | Iskander, J; Attia, M; Saleh, K; Abobakr, A; Nahavandi, D; Hossny, M; Nahavandi, S |
| 2021-11-20 | Fast intent prediction of multi-cyclists in 3D point cloud data using deep neural networks | Saleh, K; Abobakr, A; Hossny, M; Nahavandi, D; Iskander, J; Attia, M; Nahavandi, S |
| 2019 | Fingerprint Synthesis Via Latent Space Representation | Attia, M; Attia, MH; Iskander, J; Saleh, K; Nahavandi, D; Abobakr, A; Hossny, M; Nahavandi, S |
| 2019 | From car sickness to autonomous car sickness: A review | Iskander, J; Attia, M; Saleh, K; Nahavandi, D; Abobakr, A; Mohamed, S; Asadi, H; Khosravi, A; Lim, CP; Hossny, M |
| 2019 | High Frame Rate Photorealistic Flame Rendering via Generative Adversarial Networks | Attia, M; Abobakr, A; Wei, L; Saleh, K; Iskander, J; Zhou, H; Nahavandi, D; Hossny, M; Nahavandi, S |
| 2022-11-07 | Hybrid Seq2Seq Architecture for 3D Co-Speech Gesture Generation | Saleh, K |
| 2021-03-08 | Improving Users Engagement Detection using End-to-End Spatio-Temporal Convolutional Neural Networks | Saleh, K; Yu, K; Chen, F |
| 2018 | Intent prediction of pedestrians via motion trajectories using stacked recurrent neural networks | Saleh, K; Hossny, M; Nahavandi, S |
| 2019 | Optimal Autonomous Driving Through Deep Imitation Learning and Neuroevolution | Jalali, SMJ; Kebria, PM; Khosravi, A; Saleh, K; Nahavandi, D; Nahavandi, S |
| 2022-10-02 | Pedestrian Trajectory Prediction for Real-Time Autonomous Systems via Context-Augmented Transformer Networks. | Saleh, K |
| 2022-10-12 | Real-time Attention-Augmented Spatio-Temporal Networks for Video-based Driver Activity Recognition | Saleh, K; Mihaita, A-S; Yu, K; Chen, F |
| 2019 | Real-time intent prediction of pedestrians for autonomous ground vehicles via spatio-temporal densenet | Saleh, K; Hossny, M; Nahavandi, S |
| 2021-09-29 | Refined Continuous Control of DDPG Actors via Parametrised Activation | Hossny, M; Iskander, J; Attia, M; Saleh, K; Abobakr, A |
| 2019 | Scenario Generation-Based Training in Simulation: Pilot Study | Ahmed, M; Saleh, K; Abobakr, A; Nahavandi, S |
| 2020-04-21 | Spatio-temporal DenseNet for real-time intent prediction of pedestrians in urban traffic environments | Saleh, K; Hossny, M; Nahavandi, S |
