Runze Gan

According to our database, Runze Gan authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

An Adaptive and Scalable Multi-Object Tracker Based on the Non-Homogeneous Poisson Process.

Qing Li, Runze Gan, Jiaming Liang, Simon J. Godsill

IEEE Trans. Signal Process., 2023

Consensus-based Distributed Variational Multi-object Tracker in Multi-Sensor Network.

Qing Li, Runze Gan, Simon J. Godsill

CoRR, 2023

DR-Pose: A Two-Stage Deformation-and-Registration Pipeline for Category-Level 6D Object Pose Estimation.

Lei Zhou, Zhiyang Liu, Runze Gan, Haozhe Wang, Marcelo H. Ang

IROS, 2023

A Scalable Rao-Blackwellised Sequential MCMC Sampler for Joint Detection and Tracking in Clutter.

Qing Li, Runze Gan, Simon J. Godsill

Proceedings of the 26th International Conference on Information Fusion, 2023

2022

Conditionally Factorized Variational Bayes with Importance Sampling.

Runze Gan, Simon J. Godsill

Proceedings of the IEEE International Conference on Acoustics, 2022

A Variational Bayes Association-based Multi-object Tracker under the Non-homogeneous Poisson Measurement Process.

Runze Gan, Qing Li, Simon J. Godsill

Proceedings of the 25th International Conference on Information Fusion, 2022

2021

Lévy State-Space Models for Tracking and Intent Prediction of Highly Maneuverable Objects.

Runze Gan, Bashar I. Ahmad, Simon J. Godsill

IEEE Trans. Aerosp. Electron. Syst., 2021

2020

$\alpha$ -Stable Lévy State-space Models for Manoeuvring Object Tracking.

Runze Gan, Simon J. Godsill

Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2019

On Destination Prediction Based on Markov Bridging Distributions.

Jiaming Liang, Bashar I. Ahmad, Runze Gan, Pat Langdon, Robert Hardy, Simon J. Godsill

IEEE Signal Process. Lett., 2019

Bayesian Intent Prediction for Fast Maneuvering Objects using Variable Rate Particle Filters.

Runze Gan, Jiaming Liang, Bashar I. Ahmad, Simon J. Godsill

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019