Runze Gan

Orcid: 0000-0001-6694-6198

According to our database1, Runze Gan authored at least 16 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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Links

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Bibliography

2025
Decentralized Variational Inference Frameworks for Multi-Object Tracking on Sensor Networks.
IEEE Trans. Signal Process., 2025

A Machine Learning-Based Approach to Cross-Application of Computer Vision and Visual Communication Design for Automatic Labelling and Classification.
Informatica (Slovenia), 2025

Distributed Expectation Propagation for Multi-Object Tracking over Sensor Networks.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2025

2024
Variational Tracking and Redetection for Closely-Spaced Objects in Heavy Clutter.
IEEE Trans. Aerosp. Electron. Syst., August, 2024

Decentralised Gradient-based Variational Inference for Multi-sensor Fusion and Tracking in Clutter.
Proceedings of the 27th International Conference on Information Fusion, 2024

Implementation of Non-Gaussian Motion Models Within Stone Soup.
Proceedings of the 27th International Conference on Information Fusion, 2024

2023
An Adaptive and Scalable Multi-Object Tracker Based on the Non-Homogeneous Poisson Process.
IEEE Trans. Signal Process., 2023

Consensus-based Distributed Variational Multi-object Tracker in Multi-Sensor Network.
CoRR, 2023

DR-Pose: A Two-Stage Deformation-and-Registration Pipeline for Category-Level 6D Object Pose Estimation.
IROS, 2023

A Scalable Rao-Blackwellised Sequential MCMC Sampler for Joint Detection and Tracking in Clutter.
Proceedings of the 26th International Conference on Information Fusion, 2023

2022
Conditionally Factorized Variational Bayes with Importance Sampling.
Proceedings of the IEEE International Conference on Acoustics, 2022

A Variational Bayes Association-based Multi-object Tracker under the Non-homogeneous Poisson Measurement Process.
Proceedings of the 25th International Conference on Information Fusion, 2022

2021
Lévy State-Space Models for Tracking and Intent Prediction of Highly Maneuverable Objects.
IEEE Trans. Aerosp. Electron. Syst., 2021

2020
$\alpha$ -Stable Lévy State-space Models for Manoeuvring Object Tracking.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2019
On Destination Prediction Based on Markov Bridging Distributions.
IEEE Signal Process. Lett., 2019

Bayesian Intent Prediction for Fast Maneuvering Objects using Variable Rate Particle Filters.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019


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