Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction-Reference-Cited by-同舟云学术

Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human 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:

Ma Tiezheng¹,Nie Yongwei¹,Long Chengjiang²,Zhang Qing³,Li Guiqing¹

Affiliation:

1. School of Computer Science and Engineering, South China University of Technology,China

2. Meta Reality Labs,USA

3. School of Computer Science and Engineering, Sun Yat-sen University,China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879362.pdf?arnumber=9879362

Reference47 articles.

1. Spatiotemporal co-attention recurrent neural networks for human-skeleton motion prediction;shu;IEEE Transactions on Pattern Analysis and Machine Intelligence,2021

2. Sgcn: Sparse graph convolution for pedestrian trajectory prediction;shi;Proc IEEE Conf Computer Vision and Pattern Recognition,0

3. Learning Trajectory Dependencies for Human Motion Prediction

4. History repeats itself: Human motion prediction via motion attention;mao;in European Conference on Computer Vision,0

5. Towards Natural and Accurate Future Motion Prediction of Humans and Animals

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