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CoMoGCN: Coherent Motion Aware Trajectory Prediction with Graph
  Representation
v1v2 (latest)

CoMoGCN: Coherent Motion Aware Trajectory Prediction with Graph Representation

2 May 2020
Yong Chen
Congcong Liu
Bertram Shi
Ming-Yuan Liu
ArXiv (abs)PDFHTML

Papers citing "CoMoGCN: Coherent Motion Aware Trajectory Prediction with Graph Representation"

4 / 4 papers shown
Title
Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with
  Masked Autoencoders
Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders
Jie Cheng
Xiaodong Mei
Ming-Yuan Liu
96
60
0
19 Aug 2023
Implicit Neural Representations for Variable Length Human Motion
  Generation
Implicit Neural Representations for Variable Length Human Motion Generation
Pablo Cervantes
Yusuke Sekikawa
Ikuro Sato
Koichi Shinoda
89
61
0
25 Mar 2022
AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided
  by Human Attention
AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention
Congcong Liu
Yuying Chen
Ming-Yuan Liu
Bertram E. Shi
75
24
0
14 Jan 2021
HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint
  Sampling for Trajectory Prediction
HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction
Yuying Chen
Congcong Liu
Xiaodong Mei
Bertram E. Shi
Ming-Yuan Liu
98
11
0
15 Sep 2020
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