NeFT-Net: N-window extended frequency transformer for rhythmic motion prediction
Authors:
- Adeyemi AdemolaAAAdeyemi Ademola
- David SinclairDSDavid Sinclair
- Babis KoniarisBKBabis Koniaris
- Samantha HannahSHSamantha Hannah
- Kenny MitchellKMKenny Mitchell
Open Access
- 17 May 2025
- journal article
- Published by Elsevier in Computers & Graphics
- Vol. 129
Abstract
No abstract availableFunding Information
- Horizon 2020 Framework Programme
- H2020 Future and Emerging Technologies (101017779)
This publication has 14 references indexed in Scilit:
- MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction2021
- Learning Dynamic Relationships for 3D Human Motion Prediction2020
- Structured Prediction Helps 3D Human Motion Modelling2019
- Learning Trajectory Dependencies for Human Motion Prediction2019
- Human Motion Prediction via Spatio-Temporal Inpainting2019
- Adversarial Geometry-Aware Human Motion Prediction2018
- Convolutional Sequence to Sequence Model for Human Dynamics2018
- Deep Representation Learning for Human Motion Prediction and Classification2017
- Structural-RNN: Deep Learning on Spatio-Temporal Graphs2016
- Recurrent Network Models for Human Dynamics2015