IEEE

Matrix-Inversion-Free Sparse Bayesian Learning for High-Resolution Radar Imagery via Improved Variational Inference

Abstract: Sparse Bayesian learning (SBL) is an advanced statistical framework that dominantly enhances the sparse features of targets of interest in radar imagery. A widely adopted strategy for ...
www.cs.utexas.edu

Multistep Inverse Is Not All You Need

Multistep Inverse Is Not All You Need. Alexander Levine, Peter Stone, and Amy Zhang. @Article{alexander_levine_RLC_2024, author = {Alexander Levine and Peter Stone and Amy Zhang}, title = {Multistep ...
GitHub

Frequency differencing method that generates low-frequency data for kickstarting full-waveform inversion

Ultrasound tomography (UST) is a medical imaging system that uses the transmission of ultrasound through tissue to create images of the speed of sound. Currently, the main algorithm used to provide ...
GitHub

The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing (CVPR 2024)

The task of manipulating real image attributes through StyleGAN inversion has been extensively researched. This process involves searching latent variables from a well-trained StyleGAN generator that ...
IEEE

Exponential Function Singular Value Correction Regularization Method for MSBAS InSAR Deformation Inversion

Abstract: Multidimensional small baseline subset interferometric synthetic aperture radar (MSBAS InSAR) is a multidimensional deformation time series inversion method that integrates multiorbit SAR ...
Frontiers

Methods for seismic sedimentology and inversion using physics-driven convolutional model-based artificial intelligence

1 Research Institute of Exploration and Development, Daqing Oilfield Company Ltd., Daqing, China 2 Beijing Jia’an Huitong Petroleum Technology Co., Ltd., Beijing, China Seismic inversion is vital for ...