GitHub

DAGSfM: Distributed and Graph-Based Structure-from-Motion Library

@misc{chen2019graphbased, title={Graph-Based Parallel Large Scale Structure from Motion}, author={Yu Chen and Shuhan Shen and Yisong Chen and Guoping Wang}, year ...
IEEE

3D Skeleton-Based Human Motion Prediction Using Dynamic Multi-Scale Spatiotemporal Graph Recurrent Neural Networks

Abstract: A dynamic multi-scale spatiotemporal graph recurrent neural network (DMST-GRNN) model has been introduced, which is leveraged to use human motion prediction on a 3D skeleton-based human ...
IEEE

Body Motion Segmentation via Multilayer Graph Processing for Wearable Sensor Signals

Abstract: Human body motion segmentation plays a major role in many applications, ranging from computer vision to robotics. Among a variety of algorithms, graph-based approaches have demonstrated ...
GitHub

Graph Structure from Motion (GraphSfM)

Our Structure from Motion approach, named Graph Structure from Motion (GraphSfM), is aimed at large scale 3D reconstruction. Besides, we aimed at exploring the computation ability of computer and ...