Emerging single-photon-sensitive sensors produce picosecond-accurate time-stamped
photon counts. Applying advanced inverse methods to process these data has resulted in …

Imaging objects outside a camera's direct line of sight has important applications in robotic
vision, remote sensing, and many other domains. Time-of-flight-based non-line-of-sight …

As an emerging technology that has attracted huge attention, non-line-ofsight (NLOS)
imaging can reconstruct hidden objects by analyzing the diffuse reflection on a relay surface …

Objects obscured by occluders are considered lost in the images acquired by conventional
camera systems, prohibiting both visualization and understanding of such hidden objects …

We present a neural modeling framework for non-line-of-sight (NLOS) imaging. Previous
solutions have sought to explicitly recover the 3D geometry (eg, as point clouds) or voxel …

Abstract Non-line-of-sight (NLOS) imaging aims to reconstruct scenes outside the field of
view of an imaging system. A common approach is to measure the so-called light transients …

Computational approach to imaging around the corner, or non-line-of-sight (NLOS) imaging,
is becoming a reality thanks to major advances in imaging hardware and reconstruction …

Time-correlated imaging is an emerging sensing modality that has been shown to enable
promising application scenarios, including lidar ranging, fluorescence lifetime imaging, and …

The recent years have seen a surge of interest in methods for imaging beyond the direct line
of sight. The most prominent techniques rely on time-resolved optical impulse responses …

Abstract Non-line-of-sight (NLOS) imaging is a rapidly growing field seeking to form images
of objects outside the field of view, with potential applications in autonomous navigation …