activity
20232026
most citedImaging Hidden Objects with Consumer LiDAR via Motion Induced Sampling

1 citations · 4 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CV2026★ 1 cited

Imaging Hidden Objects with Consumer LiDAR via Motion Induced Sampling

Siddharth Somasundaram, Aaron Young, Akshat Dave +2

LiDARs are being increasingly deployed for consumer imaging in handheld, wearable, and robotic applications. These sensors can capture the time-of-flight of light at picosecond res…

cs.RO2026

DENALI: A Dataset Enabling Non-Line-of-Sight Spatial Reasoning with Low-Cost LiDARs

Nikhil Behari, Diego Rivero, Luke Apostolides +3

Consumer LiDARs in mobile devices and robots typically output a single depth value per pixel. Yet internally, they record full time-resolved histograms containing direct and multi-…

cs.CV2026

Spatial Calibration of Diffuse LiDARs

Nikhil Behari, Ramesh Raskar

Diffuse direct time-of-flight LiDARs report per-pixel depth histograms formed by aggregating photon returns over a wide instantaneous field of view, violating the single-ray assump…

cs.CV2025

Shoot-Bounce-3D: Single-Shot Occlusion-Aware 3D from Lidar by Decomposing Two-Bounce Light

Tzofi Klinghoffer, Siddharth Somasundaram, Xiaoyu Xiang +5

3D scene reconstruction from a single measurement is challenging, especially in the presence of occluded regions and specular materials, such as mirrors. We address these challenge…

cs.CV2025

Task-Driven Implicit Representations for Automated Design of LiDAR Systems

Nikhil Behari, Aaron Young, Tzofi Klinghoffer +2

Imaging system design is a complex, time-consuming, and largely manual process; LiDAR design, ubiquitous in mobile devices, autonomous vehicles, and aerial imaging platforms, adds…

cs.AI2025★ 1 cited

What if Eye...? Computationally Recreating Vision Evolution

Kushagra Tiwary, Aaron Young, Zaid Tasneem +6

Vision systems in nature show remarkable diversity, from simple light-sensitive patches to complex camera eyes with lenses. While natural selection has produced these eyes through…

eess.IV2024

Blurred LiDAR for Sharper 3D: Robust Handheld 3D Scanning with Diffuse LiDAR and RGB

Nikhil Behari, Aaron Young, Siddharth Somasundaram +3

3D surface reconstruction is essential across applications of virtual reality, robotics, and mobile scanning. However, RGB-based reconstruction often fails in low-texture, low-ligh…

cs.RO2024★ 1 cited

Enhancing Autonomous Navigation by Imaging Hidden Objects using Single-Photon LiDAR

Aaron Young, Nevindu M. Batagoda, Harry Zhang +4

Robust autonomous navigation in environments with limited visibility remains a critical challenge in robotics. We present a novel approach that leverages Non-Line-of-Sight (NLOS) s…

eess.IV2024

Event Cameras Meet SPADs for High-Speed, Low-Bandwidth Imaging

Manasi Muglikar, Siddharth Somasundaram, Akshat Dave +3

Traditional cameras face a trade-off between low-light performance and high-speed imaging: longer exposure times to capture sufficient light results in motion blur, whereas shorter…

cs.CV2023★ 1 cited

PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar

Tzofi Klinghoffer, Xiaoyu Xiang, Siddharth Somasundaram +4

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 (NeRF), whil…

physics.optics2023

Measurement of Snowpack Density, Grain Size, and Black Carbon Concentration Using Time-domain Diffuse Optics

Connor Henley, Joseph Hollmann, Colin Meyer +1

Diffuse optical spectroscopy (DOS) techniques aim to characterize scattering media by examining their optical response to laser illumination. Time-domain DOS methods involve illumi…

cs.CV2023

Towards Viewpoint Robustness in Bird's Eye View Segmentation

Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen +6

Autonomous vehicles (AV) require that neural networks used for perception be robust to different viewpoints if they are to be deployed across many types of vehicles without the rep…