RadProPoser uses a variational encoder-decoder with spectral attention to predict 3D poses and aleatoric uncertainties from radar tensors, achieving 6.425 cm MPJPE on a new benchmark and 5.042 cm on HuPR with calibrated uncertainties.
A survey on radar-based continuous human activity recognition,
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The work identifies bands at 497 nm, 607 nm, and 895 nm that deliver large gains in material dissimilarity and perceptual separability on the H-City dataset compared with RGB.
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RadProPoser: Probabilistic Radar Tensor Human Pose Estimation That Knows Its Limits
RadProPoser uses a variational encoder-decoder with spectral attention to predict 3D poses and aleatoric uncertainties from radar tensors, achieving 6.425 cm MPJPE on a new benchmark and 5.042 cm on HuPR with calibrated uncertainties.
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CSNR and JMIM Based Spectral Band Selection for Reducing Metamerism in Urban Driving
The work identifies bands at 497 nm, 607 nm, and 895 nm that deliver large gains in material dissimilarity and perceptual separability on the H-City dataset compared with RGB.