GraphEnet: Event-driven Human Pose Estimation with a Graph Neural Network

arXiv:2510.07990 · cs.CV · Submitted 2025-10-09 · Read on arXiv

cs.CV

Submitted: 2025-10-09

Updated: 2025-10-09

Terminology

• Accuracy — 16× in this paper · explained in 1 episode
• Graph Neural Network — 15× in this paper
• GNNs — 10× in this paper · explained in 2 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Benchmark — 5× in this paper · explained in 2 episodes
• Ablation study — 4× in this paper · explained in 1 episode
• Core — 3× in this paper · explained in 2 episodes
• Distillation — 3× in this paper · explained in 2 episodes
• Optical Flow — 3× in this paper · explained in 2 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Calibration — 2× in this paper · explained in 7 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Graph Neural Network (GNN) — 1× in this paper · explained in 3 episodes
• Graph Neural Networks (GNNs) — 1× in this paper · explained in 7 episodes
• Heterogeneous Graph — 1× in this paper · explained in 2 episodes
• Mean Per Joint Position Error — 1× in this paper
• Robustness — 1× in this paper · explained in 5 episodes
• Set of Centre Active Receptive Fields — 1× in this paper
• Visual Human Pose Estimation — 1× in this paper

Sources

• High Speed Event Camera TRacking
• Efficient Human Pose Estimation via 3D Event Point Cloud
• A Dynamic Graph CNN with Cross-Representation Distillation for Event-Based Recognition
• Survey of Image Based Graph Neural Networks
• Single Person Pose Estimation: A Survey

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