activity
20092025
most citedSensor Selection for Estimation with Correlated Measurement Noise

198 citations · 2.1k across the 126 of their papers we have counts for

collaborators

131 papers

cs.LG2025

One-bit Compressed Sensing using Generative Models

Swatantra Kafle, Geethu Joseph, Pramod K. Varshney

This paper addresses the classical problem of one-bit compressed sensing using a deep learning-based reconstruction algorithm that leverages a trained generative model to enhance t…

eess.SP2023

On Distributed and Asynchronous Sampling of Gaussian Processes for Sequential Binary Hypothesis Testing

Nandan Sriranga, Saikiran Bulusu, Baocheng Geng +1

In this work, we consider a binary sequential hypothesis testing problem with distributed and asynchronous measurements. The aim is to analyze the effect of sampling times of joint…

eess.SY2023

On Gibbs Sampling Architecture for Labeled Random Finite Sets Multi-Object Tracking

Anthony Trezza, Donald J. Bucci, Pramod K. Varshney

Gibbs sampling is one of the most popular Markov chain Monte Carlo algorithms because of its simplicity, scalability, and wide applicability within many fields of statistics, scien…

eess.SP2023

Distributed Quantized Detection of Sparse Signals Under Byzantine Attacks

Chen Quan, Yunghsiang S. Han, Baocheng Geng +1

This paper investigates distributed detection of sparse stochastic signals with quantized measurements under Byzantine attacks. Under this type of attack, sensors in the networks m…

eess.IV2023

COMIC: An Unsupervised Change Detection Method for Heterogeneous Remote Sensing Images Based on Copula Mixtures and Cycle-Consistent Adversarial Networks

Chengxi Li, Gang Li, Zhuoyue Wang +2

In this paper, we consider the problem of change detection (CD) with two heterogeneous remote sensing (RS) images. For this problem, an unsupervised change detection method has bee…

cs.IT2023

On Communication-Efficient Multisensor Track Association via Measurement Transformation (Extended Version)

Haiqi Liu, Jiajie Sun, Xuqi Zhang +3

Multisensor track-to-track fusion for target tracking involves two primary operations: track association and estimation fusion. For estimation fusion, lossless measurement transfor…