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Abduallah Mohamed
Abduallah Mohamed
Applied Research Scientist, Meta Reality Labs
Email confirmado em fb.com - Página inicial
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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
7042020
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
362022
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
292019
An IMU-based traffic and road condition monitoring system
T Lei, AA Mohamed, C Claudel
HardwareX 4, e00045, 2018
232018
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
202022
Putting safety of intended functionality sotif into practice
A Abdulazim, M Elbahaey, A Mohamed
SAE Technical Paper, 2021
92021
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
62021
A review of deep learning for video captioning
M Abdar, M Kollati, S Kuraparthi, F Pourpanah, D McDuff, ...
arXiv preprint arXiv:2304.11431, 2023
42023
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, ...
32018
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
12018
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
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
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
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