Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving-Reference-Cited by-同舟云学术

Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving

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

Zheng Jingxiao¹,Shi Xinwei¹,Gorban Alexander¹,Mao Junhua¹,Song Yang¹,Qi Charles R.¹,Liu Ting²,Chari Visesh¹,Cornman Andre¹,Zhou Yin¹,Li Congcong¹,Anguelov Dragomir¹

Affiliation:

1. Waymo LLC

2. Google Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9856930/9856648/09857271.pdf?arnumber=9857271

Reference48 articles.

1. SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach

2. Rgb-D Fusion For Point-Cloud-Based 3d Human Pose Estimation

3. Robust Estimation of 3D Human Poses from a Single Image

4. RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation

5. Posenet3d: Unsupervised 3d human shape and pose estimation;tripathi,2020

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