| 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 | 420 | 2020 |
| 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 | 19 | 2019 |
| An IMU-based traffic and road condition monitoring system T Lei, AA Mohamed, C Claudel HardwareX 4, e00045, 2018 | 15 | 2018 |
| Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation A Mohamed, D Zhu, W Vu, M Elhoseiny, C Claudel Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 5 | 2022 |
| Putting safety of intended functionality sotif into practice A Abdulazim, M Elbahaey, A Mohamed SAE Technical Paper, 2021 | 4 | 2021 |
| 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) A Mohamed, K Qian, M Elhoseiny, C Claudel IEEE, 2020 | 4 | 2020 |
| 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 | 3 | 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 |
| 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 | 2 | 2022 |
| 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 |
| On the motion and action prediction using deep graph models AAO Mohamed | | 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 |
| Predicting crowd trajectories using deep Graph Convolution Neural Networks AAO Mohamed | | 2019 |
| 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 |
| Phase 2-Bringing Smart Transport to Texans: Ensuring the Benefits of a Connected and Autonomous Transport System in Texas–Final Report KM Kockelman, S Boyles, C Claudel, P Stone, L Loftus-Otway, P Sturgeon, ... | | 2018 |
| Bringing Smart Transport to Texans: Ensuring the Benefits of a Connected and Autonomous Transport System in Texas (Phase 2) K Kockelman, WW Otway, D Duncan Stewart, D Guni Sharon, ... University of Texas at Austin. Center for Transportation Research, 2018 | | 2018 |
Christian ClaudelUT AustinEmail confirmado em utexas.edu
