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Graph2Kernel Grid-LSTM: A Multi-Cued Model for Pedestrian Trajectory
  Prediction by Learning Adaptive Neighborhoods

Graph2Kernel Grid-LSTM: A Multi-Cued Model for Pedestrian Trajectory Prediction by Learning Adaptive Neighborhoods

3 July 2020
Sirin Haddad
S. Lam
ArXivPDFHTML

Papers citing "Graph2Kernel Grid-LSTM: A Multi-Cued Model for Pedestrian Trajectory Prediction by Learning Adaptive Neighborhoods"

1 / 1 papers shown
Title
Graph-based Spatial Transformer with Memory Replay for Multi-future
  Pedestrian Trajectory Prediction
Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction
Lihuan Li
M. Pagnucco
Yang Song
23
57
0
12 Jun 2022
1