low cost and computational requirements. However, mmWave data point cloud, the primary
input to processing algorithms, is highly sparse and carries significantly less information
than other alternatives such as video frames. Furthermore, the scarce labeled mmWave data
impedes the development of machine learning (ML) models that can generalize to unseen
scenarios. We propose a fast and scalable human pose estimation (FUSE) framework that …