DT-Pose reformulates WiFi HPE as domain-consistent representation learning via temporal contrastive masked pretraining plus hybrid topology-constrained decoding to yield more accurate and realistic 2D/3D poses.
Timemae: Self-supervised rep- resentations of time series with decoupled masked autoen- coders
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Towards Robust and Realistic Human Pose Estimation via WiFi Signals
DT-Pose reformulates WiFi HPE as domain-consistent representation learning via temporal contrastive masked pretraining plus hybrid topology-constrained decoding to yield more accurate and realistic 2D/3D poses.
- Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs