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Found 4 papers, 3 papers with code
Pose-based Modular Network for Human-Object Interaction Detection
We contribute a Pose-based Modular Network (PMN) which explores the absolute pose features and relative spatial pose features to improve HOI detection and is fully compatible with existing networks.
Ranked #23 on
Human-Object Interaction Detection
on V-COCO
A Graph Attention Spatio-temporal Convolutional Network for 3D Human Pose Estimation in Video
Spatio-temporal information is key to resolve occlusion and depth ambiguity in 3D pose estimation.
Ranked #11 on
3D Human Pose Estimation
on HumanEva-I
Visual-Semantic Graph Attention Networks for Human-Object Interaction Detection
Few works have studied the disambiguating contribution of subsidiary relations made available via graph networks.
Large-scale Multi-modal Person Identification in Real Unconstrained Environments
Person identification (P-ID) under real unconstrained noisy environments is a huge challenge.
