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cs.CV2026
EgoTraj: Real-World Egocentric Human Trajectory Dataset for Multimodal Prediction
Ahmad Yehia, Abduallah Mohamed, Tianyi Wang +4
Accurately forecasting human trajectories from an egocentric perspective plays a central role in applications such as humanoid robotics, wearable sensing systems, and assistive nav…
cs.CV2020
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
Abduallah Mohamed, Kun Qian, Mohamed Elhoseiny +1
Better machine understanding of pedestrian behaviors enables faster progress in modeling interactions between agents such as autonomous vehicles and humans. Pedestrian trajectories…