M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction-Reference-Cited by-同舟云学术

M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Sun Qiao¹,Huang Xin²,Gu Junru¹,Williams Brian C.²,Zhao Hang¹

Affiliation:

1. Tsinghua University,IIIS

2. Massachusetts Institute of Technology,CSAIL

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879119.pdf?arnumber=9879119

Reference47 articles.

1. Identifying Driver Interactions via Conditional Behavior Prediction

2. Multiple futures prediction;tang;Advances in neural information processing systems,2019

3. Multi-agent trajectory prediction with fuzzy query attention;nitin;Advances in Neural IInformation Processing Systems,2020

4. Scene Transformer: A unified architecture for predicting multiple agent trajectories;ngiam;International Conference on Learning Representations (ICLR),0

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

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