activity
20152026
most citedPhysics Assisted Deep Learning for Indoor Imaging using Phaseless Wi-Fi Measurements

21 citations · 54 across the 9 of their papers we have counts for

collaborators

10 papers

eess.IV2026

A 3D Formulation of the Extended Phaseless Rytov Approximation

Wanqin Ma, Zan Li, Amartansh Dubey +4

The extended Phaseless Rytov Approximation (xPRA) is a recently proposed device-free RF imaging technique that provides high-resolution reconstructions of the imaging region using…

cs.CV2024

WiFi-GEN: High-Resolution Indoor Imaging from WiFi Signals Using Generative AI

Jianyang Shi, Bowen Zhang, Amartansh Dubey +2

Indoor imaging is a critical task for robotics and internet-ofthings. WiFi as an omnipresent signal is a promising candidate for carrying out passive imaging and synchronizing the…

physics.app-ph2023

Reconciling Radio Tomographic Imaging with Phaseless Inverse Scattering

Amartansh Dubey, Zan Li, Ross Murch

Radio Tomographic Imaging (RTI) is a phaseless imaging approach that can provide shape reconstruction and localization of objects using received signal strength (RSS) measurements.…

eess.SP2022★ 9 cited

Unrolled Optimization with Deep Learning-based Priors for Phaseless Inverse Scattering Problems

Samruddhi Deshmukh, Amartansh Dubey, Ross Murch

Inverse scattering problems, such as those in electromagnetic imaging using phaseless data (PD-ISPs), involve imaging objects using phaseless measurements of wave scattering. Such…

physics.app-ph2022

Distorted Wave Extended Phaseless Rytov Iterative Method for Inverse Scattering Problems

Amartansh Dubey, Ross Murch

In this work we present a novel linear iterative solution to an electromagnetic inverse scattering problem with phaseless data for strongly scattering, lossy media. It is based on…

physics.comp-ph2022★ 12 cited

A New Correction to the Rytov Approximation for Strongly Scattering Lossy Media

Amartansh Dubey, Xudong Chen, Ross Murch

We propose a correction to the conventional Rytov approximation (RA) and investigate its performance for predicting wave scattering under strong scattering conditions. An important…

eess.SP2021★ 21 cited

Physics Assisted Deep Learning for Indoor Imaging using Phaseless Wi-Fi Measurements

Samruddhi Deshmukh, Amartansh Dubey, Dingfei Ma +2

A physics assisted deep learning framework to perform accurate indoor imaging using phaseless Wi-Fi measurements is proposed. It is able to image objects that are large (compared t…

physics.app-ph2021★ 4 cited

Accurate Indoor Radio Frequency Imaging using a New Extended Rytov Approximation for Lossy Media

Amartansh Dubey, Samruddhi Deshmukh, Li Pan +2

Imaging objects with high relative permittivity and large electrical size remains a challenging problem in the field of inverse scattering. In this work we present a phaseless inve…

stat.ME2019★ 2 cited

Improved Covariance Matrix Estimator using Shrinkage Transformation and Random Matrix Theory

Samruddhi Deshmukh, Amartansh Dubey

One of the major challenges in multivariate analysis is the estimation of population covariance matrix from sample covariance matrix (SCM). Most recent covariance matrix estimators…

cs.CV2015★ 6 cited

Robust and Real Time Detection of Curvy Lanes (Curves) with Desired Slopes for Driving Assistance and Autonomous Vehicles

Amartansh Dubey, K. M. Bhurchandi

One of the biggest reasons for road accidents is curvy lanes and blind turns. Even one of the biggest hurdles for new autonomous vehicles is to detect curvy lanes, multiple lanes a…