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20242026
most citedAcoustic Neural 3D Reconstruction Under Pose Drift

4 citations · 5 across the 4 of their papers we have counts for

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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.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…

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…

cs.CV2025

High-Speed Dynamic 3D Imaging with Sensor Fusion Splatting

Zihao Zou, Ziyuan Qu, Xi Peng +3

Capturing and reconstructing high-speed dynamic 3D scenes has numerous applications in computer graphics, vision, and interdisciplinary fields such as robotics, aerodynamics, and e…

cs.CV2024

Event fields: Capturing light fields at high speed, resolution, and dynamic range

Ziyuan Qu, Zihao Zou, Vivek Boominathan +2

Event cameras, which feature pixels that independently respond to changes in brightness, are becoming increasingly popular in high-speed applications due to their lower latency, re…

cs.CV2024

AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion

Mohamad Qadri, Kevin Zhang, Akshay Hinduja +3

Underwater perception and 3D surface reconstruction are challenging problems with broad applications in construction, security, marine archaeology, and environmental monitoring. Tr…