42 citations · 80 across the 20 of their papers we have counts for
12 papers · 1 filter
Adapting Vision Foundation Models to Acoustics for Pose-Free 3D Sonar Reconstruction
Kevin Zhang, Jingxi Chen, Mohamad Qadri +5
Vision foundation models trained on Internet-scale RGB datasets enable remarkable capabilities across a range of tasks, from text-to-video generation to few-shot 3D scene reconstru…
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…
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…
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…
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…
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…
Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion
Ziyuan Qu, Omkar Vengurlekar, Mohamad Qadri +5
Differentiable 3D-Gaussian splatting (GS) is emerging as a prominent technique in computer vision and graphics for reconstructing 3D scenes. GS represents a scene as a set of 3D Ga…
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…
Adaptive Gating for Single-Photon 3D Imaging
Ryan Po, Adithya Pediredla, Ioannis Gkioulekas
Single-photon avalanche diodes (SPADs) are growing in popularity for depth sensing tasks. However, SPADs still struggle in the presence of high ambient light due to the effects of…
Spatial Phase-Sweep: Increasing temporal resolution of transient imaging using a light source array
Ryuichi Tadano, Adithya Kumar Pediredla, Kaushik Mitra +1
Transient imaging or light-in-flight techniques capture the propagation of an ultra-short pulse of light through a scene, which in effect captures the optical impulse response of t…
Depth Fields: Extending Light Field Techniques to Time-of-Flight Imaging
Suren Jayasuriya, Adithya Pediredla, Sriram Sivaramakrishnan +2
A variety of techniques such as light field, structured illumination, and time-of-flight (TOF) are commonly used for depth acquisition in consumer imaging, robotics and many other…
Template-Based Active Contours
Jayanth Krishna Mogali, Adithya Kumar Pediredla, Chandra Sekhar Seelamantula
We develop a generalized active contour formalism for image segmentation based on shape templates. The shape template is subjected to a restricted affine transformation (RAT) in or…