Social-stgcnn: A social spatio-temporal graph convolutional neural network for human trajectory prediction

A Mohamed, K Qian, M Elhoseiny… - Proceedings of the …, 2020 - openaccess.thecvf.com
Better machine understanding of pedestrian behaviors enables faster progress in modeling
interactions between agents such as autonomous vehicles and humans. Pedestrian …

[PDF][PDF] Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction

A Mohamed, K Qian, M Elhoseiny, C Claudel - scholar.archive.org
Better machine understanding of pedestrian behaviors enables faster progress in modeling
interactions between agents such as autonomous vehicles and humans. Pedestrian …

[PDF][PDF] Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction

A Mohamed, K Qian, M Elhoseiny, C Claudel - researchgate.net
Better machine understanding of pedestrian behaviors enables faster progress in modeling
interactions between agents such as autonomous vehicles and humans. Pedestrian …

Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction

A Mohamed, K Qian, M Elhoseiny… - 2020 IEEE/CVF …, 2020 - computer.org
Better machine understanding of pedestrian behaviors enables faster progress in modeling
interactions between agents such as autonomous vehicles and humans. Pedestrian …

[PDF][PDF] Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction

A Mohamed, K Qian, M Elhoseiny, C Claudel - academia.edu
Better machine understanding of pedestrian behaviors enables faster progress in modeling
interactions between agents such as autonomous vehicles and humans. Pedestrian …

Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction

A Mohamed, K Qian, M Elhoseiny, C Claudel - 2020 - repository.kaust.edu.sa
Better machine understanding of pedestrian behaviors enables faster progress in modeling
interactions between agents such as autonomous vehicles and humans. Pedestrian …

Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction

A Mohamed, K Qian, M Elhoseiny… - IEEE Conference on …, 2020 - par.nsf.gov
Better machine understanding of pedestrian behaviors enables faster progress in modeling
interactions between agents such as autonomous vehicles and humans. Pedestrian …

Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction

A Mohamed, K Qian, M Elhoseiny… - arXiv preprint arXiv …, 2020 - arxiv.org
Better machine understanding of pedestrian behaviors enables faster progress in modeling
interactions between agents such as autonomous vehicles and humans. Pedestrian …

Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction

A Mohamed, K Qian, M Elhoseiny, C Claudel - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Better machine understanding of pedestrian behaviors enables faster progress in modeling
interactions between agents such as autonomous vehicles and humans. Pedestrian …

[引用][C] Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction

A Mohamed, K Qian, M Elhoseiny… - 2020 IEEE/CVF …, 2020 - cir.nii.ac.jp
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human
Trajectory Prediction | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 論文 …