LiDAR-based 3D detection methods currently use bird's-eye view (BEV) or range view (RV)
as their primary basis. The former relies on voxelization and 3D convolutions, resulting in …

Flowed time of flight radiance fields (F-TöRF) is a method to correct for motion artifacts in
continuous-wave time of flight imaging (C-ToF). As C-ToF cameras must capture multiple …

Abstract 3D reconstruction from a single-view is challenging because of the ambiguity from
monocular cues and lack of information about occluded regions. Neural radiance fields …

The goal of non-line-of-sight (NLOS) imaging is to image objects occluded from the camera's
field of view using multiply scattered light. Recent works have demonstrated the feasibility of …

We propose methods that use specular, multibounce LiDAR returns to detect and map
specular surfaces that might be invisible to conventional LiDAR systems that rely on direct …

Single-pixel three-dimensional (3D) imaging is of great potential to the light detection and
ranging (Lidar) system. Combining high-precision ranging with compressed sensing (CS) …

We introduce Omni-LOS, a neural computational imaging method for conducting holistic
shape reconstruction (HSR) of complex objects utilizing a Single-Photon Avalanche Diode …

The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes
the refereed proceedings of the 18th European Conference on Computer Vision, ECCV …