Modulated Graph Convolutional Network for 3D Human Pose Estimation-Reference-Cited by-同舟云学术

Modulated Graph Convolutional Network for 3D Human Pose Estimation

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Zou Zhiming¹,Tang Wei¹

Affiliation:

1. University of Illinois at Chicago

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09710217.pdf?arnumber=9710217

Reference63 articles.

1. Exploiting Temporal Information for 3D Human Pose Estimation

2. 3d human pose estimation in video with temporal convolutions and semi-supervised training;pavllof;Conference on Computer Vision and Pattern Recognition (CVPR),2019

3. Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision

4. Structured sparsity and generalization;maurer;Journal of Machine Learning Research,2012

5. A Simple Yet Effective Baseline for 3d Human Pose Estimation

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