WiFlow achieves 97.25% PCK@20 and 99.48% PCK@50 on continuous pose estimation from WiFi CSI using a 2.23M-parameter network trained on 360,000 synchronized samples from 5 subjects.
Openpose: Realtime multi-person 2d pose estimation using part affinity fields,
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A skeleton-based zero-shot VAD method distills LLM knowledge for action typicality during training and performs test-time context uniqueness analysis to derive scene-adaptive normality boundaries, claiming SOTA results on four datasets with over 100 unseen scenes.
citing papers explorer
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WiFlow: A Lightweight WiFi-based Continuous Human Pose Estimation Network with Spatio-Temporal Feature Decoupling
WiFlow achieves 97.25% PCK@20 and 99.48% PCK@50 on continuous pose estimation from WiFi CSI using a 2.23M-parameter network trained on 360,000 synchronized samples from 5 subjects.
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Action Hints: Semantic Typicality and Context Uniqueness for Generalizable Skeleton-based Video Anomaly Detection
A skeleton-based zero-shot VAD method distills LLM knowledge for action typicality during training and performs test-time context uniqueness analysis to derive scene-adaptive normality boundaries, claiming SOTA results on four datasets with over 100 unseen scenes.