Multi-Person Extreme Motion Prediction-Reference-Cited by-同舟云学术

Multi-Person Extreme Motion Prediction

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

Guo Wen¹,Bie Xiaoyu¹,Alameda-Pineda Xavier¹,Moreno-Noguer Francesc²

Affiliation:

1. Inria, Univ. Grenoble Alpes, CNRS, Grenoble INP, LJK,Grenoble,France,38000

2. Institut de Robotica i Informatica Industrial, CSIC-UPC,Barcelona,Spain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879214.pdf?arnumber=9879214

Reference73 articles.

1. Auto-conditioned recurrent networks for ex-tended complex human motion synthesis;zhou;6th International Conference on Learning Representations ICLR 2018,2018

2. Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes: The Importance of Multiple Scene Constraints

3. Dlow: Diversifying latent flows for diverse human motion prediction;yuan;European Conference on Computer Vision,0

4. Mt-vae: Learning motion transformations to generate multimodal human dynamics;yan;Proceedings of the European Conference on Computer Vision (ECCV),0

5. Convolutional Sequence to Sequence Model for Human Dynamics

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