DR‐Net: denoising and reconstruction network for 3D human pose estimation from monocular RGB videos-Reference-Cited by-同舟云学术

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DR‐Net: denoising and reconstruction network for 3D human pose estimation from monocular RGB videos

Published:2018-01 Issue:2 Volume:54 Page:70-72
ISSN:0013-5194
Container-title:Electronics Letters
language:en
Short-container-title:Electron. lett.

Author:

Chang J.Y.¹

Affiliation:

1. Department of Electronics and Communications EngineeringKwangwoon UniversitySeoulRepublic of Korea

Funder

Kwangwoon University

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2017.3830

Reference9 articles.

1. Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Practical Study of Basketball Teaching Reform in Colleges and Universities Based on Big Data;Applied Mathematics and Nonlinear Sciences;2023-12-05

2. Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks;Sensors;2022-03-23

3. Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision;2020 IEEE Winter Conference on Applications of Computer Vision (WACV);2020-03

4. Extraction method of position and posture information of robot arm picking up target based on RGB-D data;Thermal Science;2020

5. DVSNet: deep variance‐stabilised network robust to spatially variant characteristics in imaging;Electronics Letters;2019-05

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