![J. Imaging | Free Full-Text | 3D Pose Estimation and Tracking in Handball Actions Using a Monocular Camera J. Imaging | Free Full-Text | 3D Pose Estimation and Tracking in Handball Actions Using a Monocular Camera](https://www.mdpi.com/jimaging/jimaging-08-00308/article_deploy/html/images/jimaging-08-00308-g001-550.jpg)
J. Imaging | Free Full-Text | 3D Pose Estimation and Tracking in Handball Actions Using a Monocular Camera
GitHub - SangbumChoi/MobileHumanPose: This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).
![Human Pose Comparison and Action Scoring using Deep Learning,OpenCV & Python | by Krishna Raj R | Analytics Vidhya | Medium Human Pose Comparison and Action Scoring using Deep Learning,OpenCV & Python | by Krishna Raj R | Analytics Vidhya | Medium](https://miro.medium.com/v2/resize:fit:1200/1*iot4AHNjJw0pgQW6zFgfTA.png)
Human Pose Comparison and Action Scoring using Deep Learning,OpenCV & Python | by Krishna Raj R | Analytics Vidhya | Medium
![Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation | This is the project page for our ACCV2020 oral paper titled “Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation” Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation | This is the project page for our ACCV2020 oral paper titled “Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation”](https://sjenni.github.io/multiview-sync-ssl/assets/model.png)
Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation | This is the project page for our ACCV2020 oral paper titled “Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation”
![GitHub - FORTH-ModelBasedTracker/MocapNET: We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating GitHub - FORTH-ModelBasedTracker/MocapNET: We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating](https://raw.githubusercontent.com/FORTH-ModelBasedTracker/MocapNET/mnet4/doc/method.png)