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cs.CV2025
mmCounter: Static People Counting in Dense Indoor Scenarios Using mmWave Radar
Tarik Reza Toha, Shao-Jung, Lu +1
mmWave radars struggle to detect or count individuals in dense, static (non-moving) groups due to limitations in spatial resolution and reliance on movement for detection. We prese…
cs.CV2025
mmWEAVER: Environment-Specific mmWave Signal Synthesis from a Photo and Activity Description
Mahathir Monjur, Shahriar Nirjon
Realistic signal generation and dataset augmentation are essential for advancing mmWave radar applications such as activity recognition and pose estimation, which rely heavily on d…
cs.CV2025
mmJoints: Expanding Joint Representations Beyond (x,y,z) in mmWave-Based 3D Pose Estimation
Zhenyu Wang, Mahathir Monjur, Shahriar Nirjon
In mmWave-based pose estimation, sparse signals and weak reflections often cause models to infer body joints from statistical priors rather than sensor data. While prior knowledge…