HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction-Reference-Cited by-同舟云学术

HiVT: Hierarchical Vector Transformer for Multi-Agent Motion 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:

Zhou Zikang¹,Ye Luyao¹,Wang Jianping¹,Wu Kui²,Lu Kejie³

Affiliation:

1. City University of Hong Kong

2. University of Victoria

3. University of Puerto Rico at Mayaguez

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09878832.pdf?arnumber=9878832

Reference52 articles.

1. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

2. Scene transformer: A unified architecture for predicting mul-tiple agent trajectories;ngiam;Proceedings of the International Conference on Learning Representations (ICLR),0

3. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

4. Multimodal Motion Prediction with Stacked Transformers

5. Learning lane graph representations for motion forecasting;liang;Proceedings of the European Conference on Computer Vision (ECCV),0

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