42 citations · 80 across the 20 of their papers we have counts for
21 papers
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…
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…
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…
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…
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…
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…
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…
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…
Scalable underwater assembly with reconfigurable visual fiducials
Samuel Lensgraf, Ankita Sarkar, Adithya Pediredla +2
We present a scalable combined localization infrastructure deployment and task planning algorithm for underwater assembly. Infrastructure is autonomously modified to suit the needs…
Doppler Time-of-Flight Rendering
Juhyeon Kim, Wojciech Jarosz, Ioannis Gkioulekas +1
We introduce Doppler time-of-flight (D-ToF) rendering, an extension of ToF rendering for dynamic scenes, with applications in simulating D-ToF cameras. D-ToF cameras use high-frequ…
Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonar
Albert W. Reed, Juhyeon Kim, Thomas Blanford +3
Synthetic aperture sonar (SAS) measures a scene from multiple views in order to increase the resolution of reconstructed imagery. Image reconstruction methods for SAS coherently co…
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…
Signal Processing Based Pile-up Compensation for Gated Single-Photon Avalanche Diodes
Adithya K. Pediredla, Aswin C. Sankaranarayanan, Mauro Buttafava +2
Single-photon avalanche diode (SPAD) based transient imaging suffers from an aberration called pile-up. When multiple photons arrive within a single repetition period of the illumi…
Deep Imaging in Scattering Media with Single Photon Selective Plane Illumination Microscopy (SPIM)
Adithya Kumar Pediredla, Shizheng Zhang, Ben Avants +6
In most biological tissues, light scattering due to small differences in refractive index limits the depth of optical imaging systems. Two-photon microscopy (2PM), which significan…
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…