Global Temporal Attention Optimization for Human Trajectory Prediction
Author:
Affiliation:
1. Wuhan University of Technology
2. Wuhan University
3. Hubei University
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9945068/9945069/09945387.pdf?arnumber=9945387
Reference22 articles.
1. Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
2. STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction
3. Semantics-STGCNN: A Semantics-guided Spatial-Temporal Graph Convolutional Network for Multi-class Trajectory Prediction
4. SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints
5. Social-BiGAT: Multimodal trajectory forecasting using bicycle-GAN and graph attention networks;kosaraju;NeurIPS,2019
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