GAT-POSE: Graph Autoencoder-Transformer Fusion for Future Pose Prediction.

Armin Danesh PazhoGabriel MaldonadoHamed Tabkhi
Published in: ROBOVIS (2024)
Keyphrases
  • pose estimation
  • d objects
  • fuzzy logic
  • prediction accuracy
  • social networks
  • long term
  • structured data
  • graph model
  • real world
  • fault diagnosis
  • data fusion
  • directed graph
  • position and orientation
  • spanning tree