2 papers
cs.CV2026
Seeing through boxes: Non-Line-of-Sight 3D Reconstruction from Radar Signals
Jiachen Lu, Hailan Shanbhag, Haitham Al Hassanieh
Reconstructing object geometry from radio frequency (RF) signals is fundamentally challenging due to the lensless imaging nature of RF sensing, which leads to low spatial resolutio…
cs.CV2026
GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals
Jiachen Lu, Hailan Shanbhag, Haitham Al Hassanieh
GeRaF is the first method to use neural implicit learning for near-range 3D geometry reconstruction from radio frequency (RF) signals. Unlike RGB or LiDAR-based methods, RF sensing…