| Social-stgcnn: A social spatio-temporal graph convolutional neural network for human trajectory prediction A Mohamed, K Qian, M Elhoseiny, C Claudel Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 965 | 2020 |
| Social-implicit: Rethinking trajectory prediction evaluation and the effectiveness of implicit maximum likelihood estimation A Mohamed, D Zhu, W Vu, M Elhoseiny, C Claudel European Conference on Computer Vision, 463-479, 2022 | 79 | 2022 |
| Physics informed data driven model for flood prediction: Application of deep learning in prediction of urban flood development K Qian, A Mohamed, C Claudel arXiv preprint arXiv:1908.10312, 2019 | 36 | 2019 |
| An IMU-based traffic and road condition monitoring system T Lei, AA Mohamed, C Claudel HardwareX 4, e00045, 2018 | 32 | 2018 |
| HAR-GCNN: Deep graph CNNs for human activity recognition from highly unlabeled mobile sensor data A Mohamed, F Lejarza, S Cahail, C Claudel, E Thomaz 2022 IEEE International Conference on Pervasive Computing and Communications …, 2022 | 30 | 2022 |
| A review of deep learning for video captioning M Abdar, M Kollati, S Kuraparthi, F Pourpanah, D McDuff, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 20 | 2024 |
| Skeleton-graph: long-term 3d motion prediction from 2d observations using deep spatio-temporal graph cnns A Mohamed, H Chen, Z Wang, C Claudel arXiv preprint arXiv:2109.10257, 2021 | 10 | 2021 |
| Putting safety of intended functionality sotif into practice A Abdulazim, M Elbahaey, A Mohamed SAE Technical Paper, 2021 | 9 | 2021 |
| Phase 2-Bringing Smart Transport to Texans: Ensuring the Benefits of a Connected and Autonomous Transport System in Texas KM Kockelman, S Boyles, C Claudel, P Stone, L Loftus-Otway, P Sturgeon, ... | 3 | 2018 |
| iMotion-LLM: Motion Prediction Instruction Tuning A Felemban, EM Bakr, X Shen, J Ding, A Mohamed, M Elhoseiny arXiv preprint arXiv:2406.06211, 2024 | 1 | 2024 |
| Inner Ensemble Networks: Average Ensemble as an Effective Regularizer A Mohamed, MM Sadiq, E AlBadawy, M Elhoseiny, C Claudel arXiv preprint arXiv:2006.08305, 2020 | 1* | 2020 |
| MCRM: Mother compact recurrent memory AA Mohamed, C Claudel arXiv preprint arXiv:1808.02016, 2018 | 1 | 2018 |
| FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle Settings A Mohamed, J Liu, LN Boyle, C Claudel arXiv preprint arXiv:2304.06121, 2023 | | 2023 |
| On the motion and action prediction using deep graph models AAO Mohamed The University of Texas at Austin, 2022 | | 2022 |
| abduallahmohamed/Social-Implicit: Code for:" Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation … A Mohamed Github, 2021 | | 2021 |
| Deep-Learning Based Trajectory Forecast for Safety of Intersections with Multimodal Traffic (Phase II) A Mohamed, K Qian, C Claudel University of North Carolina at Charlotte. Center for Advanced Multimodal …, 2020 | | 2020 |
| abduallahmohamed/inner_ensemble_nets: Code for" Inner Ensemble Nets" A Mohamed, MM Sadiq, E AlBadawy, M Elhoseiny, C Claudel Github, 2020 | | 2020 |
| abduallahmohamed/Social-STGCNN: Code for" Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020 A Mohamed, K Qian, M Elhoseiny, C Claudel Github, 2020 | | 2020 |
| Weather-Savvy Roads: Sensors and Data for Enhancing Road Weather Management CR Bhat, C Claudel, N Ruiz-Juri, KA Perrine, T Lei, K Long, A Mohamed University of Texas at Austin. Center for Transportation Research, 2019 | | 2019 |
| Predicting crowd trajectories using deep Graph Convolution Neural Networks AAO Mohamed | | 2019 |
Christian ClaudelUT AustinAdresă de e-mail confirmată pe utexas.edu
