Haitham Al Hassanieh

2 accepted papers

2026

Seeing through boxes: Non-Line-of-Sight 3D Reconstruction from Radar Signals

Jiachen Lu, Hailan Shanbhag, Haitham Al Hassanieh

CVPR 2026

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 resolution and high noise. Unlike light signals, RF signals can penetrate occlusions and thus capture information about hidden sc

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2025

GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals

Jiachen Lu, Hailan Shanbhag, Haitham Al Hassanieh

NeurIPS 2025spotlight

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 can see through occlusion but suffers from low resolution and noise due to its lens-less imaging nature. While lenses i…

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