activity
20162026
most citedAdaptive Kernel Kalman Filter

52 citations · 52 across the 6 of their papers we have counts for

collaborators

8 papers

eess.IV2026

Self-Supervised Multibeam Sonar Restoration via Coherent Forward Modeling

Zixin Wang, James Hopgood, Mike Davies

Multibeam imaging sonar produces intensity images degraded by coherent speckle and system-induced blur, while clean reflectivity targets are rarely available. Existing despeckling…

cs.LG2026

PiVoT: A Variational Solution for Real-time Large-scale Multi-object Detection and Tracking under Heavy Clutter

Runze Gan, Qing Li, Simon J. Godsill +2

Multi-object detection and tracking from noisy point clouds remain challenging in many data-scarce radar applications. Current Bayesian trackers based on Poisson measurement models…

eess.SP2025

Distributed Expectation Propagation for Multi-Object Tracking over Sensor Networks

Qing Li, Runze Gan, James R. Hopgood +2

In this paper, we present a novel distributed expectation propagation algorithm for multiple sensors, multiple objects tracking in cluttered environments. The proposed framework en…

stat.ML2024

Data-Driven Approaches for Modelling Target Behaviour

Isabel Schlangen, André Brandenburger, Mengwei Sun +1

The performance of tracking algorithms strongly depends on the chosen model assumptions regarding the target dynamics. If there is a strong mismatch between the chosen model and th…

eess.SP2022

A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking

Mengwei Sun, Mike E. Davies, Ian K. Proudler +1

Maneuvering target tracking is a challenging problem for sensor systems because of the unpredictability of the targets' motions. This paper proposes a novel data-driven method for…

eess.SP2022★ 52 cited

Adaptive Kernel Kalman Filter

Mengwei Sun, Mike E. Davies, Ian K. Proudler +1

Sequential Bayesian filters in non-linear dynamic systems require the recursive estimation of the predictive and posterior distributions. This paper introduces a Bayesian filter ca…

eess.IV2022

Deep Learning-Assisted Co-registration of Full-Spectral Autofluorescence Lifetime Microscopic Images with H&E-Stained Histology Images

Qiang Wang, Susan Fernandes, Gareth O. S. Williams +5

Autofluorescence lifetime images reveal unique characteristics of endogenous fluorescence in biological samples. Comprehensive understanding and clinical diagnosis rely on co-regis…

physics.optics2016

Anomaly Detection in Clutter using Spectrally Enhanced Ladar

Puneet S Chhabra, Andrew M Wallace, James R Hopgood

Discrete return (DR) Laser Detection and Ranging (Ladar) systems provide a series of echoes that reflect from objects in a scene. These can be first, last or multi-echo returns. In…