Kavli Affiliate: Wei Gao| Summary:Millimeter-wave (mmWave) radar enables privacy-friendly human sensing, but its sparse point clouds are physical measurements of view-dependent electromagnetic reflections and only indirectly characterize body articulation. Recovering a complete 3D pose from such partial, geometry-dependent observations is therefore under-constrained. Existing methods directly regress joint coordinates from paired radar-pose data, relying on the […]
Continue.. Wave2Body: Rethinking mmWave Human Pose Estimation as Radar-to-Body Token Translation