GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory Prediction-Reference-Cited by-同舟云学术

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GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory Prediction

Published:2021-01 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Winter Conference on Applications of Computer Vision (WACV)
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Author:

Wang Chengxin,Cai Shaofeng,Tan Gary

Funder

National Research Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9423008/9423028/09423351.pdf?arnumber=9423351

Cited by 39 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. Modeling the Uncertainty in Pedestrians Trajectory Prediction;Tehnicki vjesnik - Technical Gazette;2024-10-15

2. IMGCN: interpretable masked graph convolution network for pedestrian trajectory prediction;Transportmetrica B: Transport Dynamics;2024-08-13

3. Robot Navigation in Human-Robot Shared Environments Based on Social Interaction Model;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

4. DSTCNN: Deformable spatial-temporal convolutional neural network for pedestrian trajectory prediction;Information Sciences;2024-05

5. MapFlow: Multi-Agent Pedestrian Trajectory Prediction Using Normalizing Flow;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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