16 citations · 19 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
SINR: Deconvolving Circular SAS Images Using Implicit Neural Representations
Albert Reed, Thomas Blanford, Daniel C. Brown +1
Circular Synthetic aperture sonars (CSAS) capture multiple observations of a scene to reconstruct high-resolution images. We can characterize resolution by modeling CSAS imaging as…
Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields
Albert W. Reed, Hyojin Kim, Rushil Anirudh +4
Reconstructing dynamic, time-varying scenes with computed tomography (4D-CT) is a challenging and ill-posed problem common to industrial and medical settings. Existing 4D-CT recons…
Coupling Rendering and Generative Adversarial Networks for Artificial SAS Image Generation
Albert Reed, Isaac Gerg, John McKay +3
Acquisition of Synthetic Aperture Sonar (SAS) datasets is bottlenecked by the costly deployment of SAS imaging systems, and even when data acquisition is possible,the data is often…