Introduces the first heterogeneous multi-source mmWave point cloud HAR dataset and DAP-Net architecture with Doppler reparameterization and text alignment for cross-source robustness.
M4human: A large-scale mul- timodal mmwave radar benchmark for human mesh reconstruction
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DGHMesh supplies a large-scale dual-radar mmWave dataset and generalization benchmark for human mesh reconstruction, together with the mmPTM multi-radar fusion model that reports strong accuracy and cross-configuration performance.
A two-stage mmWave radar framework extracts confidence-weighted human volumes then reconstructs meshes via per-frame geometry and inter-frame dynamics, outperforming prior end-to-end regression.
citing papers explorer
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DAP: Doppler-aware Point Network for Heterogeneous mmWave Action Recognition
Introduces the first heterogeneous multi-source mmWave point cloud HAR dataset and DAP-Net architecture with Doppler reparameterization and text alignment for cross-source robustness.
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DGHMesh: A Large-scale Dual-radar mmWave Dataset and Generalization-focused Benchmark for Human Mesh Reconstruction
DGHMesh supplies a large-scale dual-radar mmWave dataset and generalization benchmark for human mesh reconstruction, together with the mmPTM multi-radar fusion model that reports strong accuracy and cross-configuration performance.
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A Two-Stage Motion-Aware Framework for mmWave-based Human Mesh Recovery
A two-stage mmWave radar framework extracts confidence-weighted human volumes then reconstructs meshes via per-frame geometry and inter-frame dynamics, outperforming prior end-to-end regression.