April-GCN: Adjacency Position-velocity Relationship Interaction Learning GCN for Human motion prediction-Reference-Cited by-同舟云学术

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April-GCN: Adjacency Position-velocity Relationship Interaction Learning GCN for Human motion prediction

Published:2024-05 Issue: Volume:292 Page:111613
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Gu Baoxuan^ORCID,Tang Jin^ORCID,Ding Rui^ORCID,Liu Xiaoli^ORCID,Yin Jianqin^ORCID,Zhang Zhicheng^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference44 articles.

1. Anticipating human activities for reactive robotic response;Koppula,2013

2. A survey of motion planning and control techniques for self-driving urban vehicles;Paden;IEEE Trans. Intell. Veh.,2016

3. ActiveMoCap: Optimized viewpoint selection for active human motion capture;Kiciroglu,2020

4. Learning trajectory dependencies for human motion prediction;Mao,2019

5. Motion prediction using temporal inception module;Lebailly,2021

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1. Tacking over-smoothing: Target-guide progressive dynamic graph learning for 3D skeleton-based human motion prediction;Expert Systems with Applications;2024-12

2. Malicious Traffic Detection in DNS Over HTTPS (DoH): Edge Prediction with Graph Convolutional Network;2024 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC);2024-07-02

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