Social Transformer: A Pedestrian Trajectory Prediction Method based on Social Feature Processing Using Transformer-Reference-Cited by-同舟云学术

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Social Transformer: A Pedestrian Trajectory Prediction Method based on Social Feature Processing Using Transformer

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
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Author:

Wen Fan¹,Li Ming¹,Wang Ruiyang¹

Affiliation:

1. School of Computer Science Wuhan University,Wuhan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9891857/9889787/09891949.pdf?arnumber=9891949

Reference14 articles.

1. Improving Data Association by Joint Modeling of Pedestrian Trajectories and Groupings

2. Crowds by Example

3. Sophie: An attentive gan for predicting paths compliant to social and physical constraints;sadeghian;2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),2020

4. Peeking into the future: Predicting future person activities and locations in videos;liang;IEEE,2019

5. Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories With GANs

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Learn to Encode Heterogeneous Data: A Heterogeneous Aware Network for Multi-Future Trajectory Prediction;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

2. SATNet: Upgraded LSTM Network For Mining Time Series Correlation Utilizing The Self-Attention Mechanism;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

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