Search Results for author:
Found 2 papers, 1 papers with code
Learning a Deep Motion Interpolation Network for Human Skeleton Animations
In this work, we propose a novel carefully designed deep learning framework, named deep motion interpolation network (DMIN), to learn human movement habits from a real dataset and then to perform the interpolation function specific for human motions.
Persistence B-Spline Grids: Stable Vector Representation of Persistence Diagrams Based on Data Fitting
Many attempts have been made in recent decades to integrate machine learning (ML) and topological data analysis.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
