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20242026
most citedImaging Hidden Objects with Consumer LiDAR via Motion Induced Sampling

1 citations · 1 across the 2 of their papers we have counts for

collaborators

9 papers

cs.CV20261 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.GR2026

ToF ReSTIR: Time-of-Flight Rendering with Spatio-temporal Reservoir Resampling

Juhyeon Kim, Wojciech Jarosz, Adithya Pediredla

We present a novel spatio-temporal reuse framework for time-resolved light transport, enabling efficient Monte Carlo rendering of time-of-flight (ToF) phenomena such as time-gated…

cs.CV2026

High-speed Imaging through Turbulence with Event-based Light Fields

Yu-Hsiang Huang, Levi Burner, Sachin Shah +3

This work introduces and demonstrates the first system capable of imaging fast-moving extended non-rigid objects through strong atmospheric turbulence at high frame rate. Event cam…

eess.SP2025

Acoustic Neural 3D Reconstruction Under Pose Drift

Tianxiang Lin, Mohamad Qadri, Kevin Zhang +3

We consider the problem of optimizing neural implicit surfaces for 3D reconstruction using acoustic images collected with drifting sensor poses. The accuracy of current state-of-th…

cs.GR2025

SH-SAS: An Implicit Neural Representation for Complex Spherical-Harmonic Scattering Fields for 3D Synthetic Aperture Sonar

Omkar Shailendra Vengurlekar, Adithya Pediredla, Suren Jayasuriya

Synthetic aperture sonar (SAS) reconstruction requires recovering both the spatial distribution of acoustic scatterers and their direction-dependent response. Time-domain backproje…

cs.CV2025

Structured light with a million light planes per second

Dhawal Sirikonda, Praneeth Chakravarthula, Ioannis Gkioulekas +1

We introduce a structured light system that enables full-frame 3D scanning at speeds of , four times faster than the previous fastest systems. Our key innovation i…