![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)
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
![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 - microsoft/singleshotpose: This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR GitHub - microsoft/singleshotpose: This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR](https://btekin.github.io/single_shot_pose.png)
GitHub - microsoft/singleshotpose: This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR
![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)