ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.19237
  4. Cited By
Context-based Interpretable Spatio-Temporal Graph Convolutional Network
  for Human Motion Forecasting

Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion Forecasting

21 February 2024
Edgar Medina
Leyong Loh
Namrata Gurung
Kyung Hun Oh
Niels Heller
    3DH
ArXivPDFHTML

Papers citing "Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion Forecasting"

6 / 6 papers shown
Title
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks
Edgar Medina
Leyong Loh
AAML
27
0
0
07 Mar 2024
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder
  Analysis
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
Hejie Cui
Wei Dai
Yanqiao Zhu
Xiaoxiao Li
Lifang He
Carl Yang
57
77
0
30 Jun 2022
Explainability in Graph Neural Networks: A Taxonomic Survey
Explainability in Graph Neural Networks: A Taxonomic Survey
Hao Yuan
Haiyang Yu
Shurui Gui
Shuiwang Ji
159
463
0
31 Dec 2020
A Survey on Neural Network Interpretability
A Survey on Neural Network Interpretability
Yu Zhang
Peter Tiño
A. Leonardis
K. Tang
FaML
XAI
129
494
0
28 Dec 2020
History Repeats Itself: Human Motion Prediction via Motion Attention
History Repeats Itself: Human Motion Prediction via Motion Attention
Wei Mao
Miaomiao Liu
Mathieu Salzmann
58
247
0
23 Jul 2020
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human
  Motion Prediction
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction
Maosen Li
Siheng Chen
Yangheng Zhao
Ya-Qin Zhang
Yanfeng Wang
Qi Tian
AI4CE
3DH
85
267
0
17 Mar 2020
1