2026 Ba-Tuong Vo: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	47	6314	6131	198	197	135	15573

Overview

Ba-Tuong Vo is affiliated with Curtin University in Australia and specializes in the field of computer science. Their research contributions primarily focus on artificial intelligence, computer vision and pattern recognition, signal processing, computer networks and communications, and control and systems engineering.

The scientist's publication record includes 29 works in computer science, with specific emphasis on 12 in artificial intelligence and 8 in computer vision and pattern recognition. Additional subfields they engage with are signal processing, computer networks and communications, and control and systems engineering.

Key research topics covered in their work include:

Target tracking and data fusion in sensor networks
Video surveillance and tracking methods
Distributed sensor networks and detection algorithms
Fault detection and control systems
Advanced neural network applications
Adversarial robustness in machine learning
Gaussian processes and Bayesian inference

Ba-Tuong Vo has published extensively in several scientific venues. Frequent venues include:

IEEE Transactions on Signal Processing
arXiv (Cornell University)
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE/ACM Transactions on Audio Speech and Language Processing
2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)

Selected recent papers by Ba-Tuong Vo present a snapshot of the scientist's active research areas:

"A Bayesian Filter for Multi-View 3D Multi-Object Tracking With Occlusion Handling" (2020), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
"Multi-Scan Multi-Sensor Multi-Object State Estimation" (2022), published in IEEE Transactions on Signal Processing
"How Trustworthy are Performance Evaluations for Basic Vision Tasks?" (2022), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
"Linear Complexity Gibbs Sampling for Generalized Labeled Multi-Bernoulli Filtering" (2023), published in IEEE Transactions on Signal Processing
"Multi-Objective Multi-Agent Planning for Discovering and Tracking Multiple Mobile Objects" (2024), published in IEEE Transactions on Signal Processing

The scientist frequently collaborates with other researchers, including Ba-Ngu Vo, Changbeom Shim, Jonah Ong, Tran Thien Dat Nguyen, and Diluka Moratuwage. These collaborations reflect a consistent presence in multi-author research initiatives focused on related technical fields and applications.

Best Publications

A Consistent Metric for Performance Evaluation of Multi-Object Filters

D. Schuhmacher;B.-T. Vo;B.-N. Vo

2379
Citations
Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter

Ba-Tuong Vo;Ba-Ngu Vo;A. Cantoni

1027
Citations
Labeled Random Finite Sets and Multi-Object Conjugate Priors

Ba-Tuong Vo;Ba-Ngu Vo

1021
Citations
The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations

Ba-Tuong Vo;Ba-Ngu Vo;A. Cantoni

1014
Citations
The Labeled Multi-Bernoulli Filter

Stephan Reuter;Ba-Tuong Vo;Ba-Ngu Vo;Klaus Dietmayer

882
Citations
Labeled Random Finite Sets and the Bayes Multi-Target Tracking Filter

Ba-Ngu Vo;Ba-Tuong Vo;Dinh Phung

851
Citations
On performance evaluation of multi-object filters

D. Schuhmacher;Ba Tuong Vo;Ba Ngu Vo

618
Citations
Joint Detection and Estimation of Multiple Objects From Image Observations

Ba-Ngu Vo;Ba-Tuong Vo;Nam-Trung Pham;David Suter

446
Citations
An Efficient Implementation of the Generalized Labeled Multi-Bernoulli Filter

Ba-Ngu Vo;Ba-Tuong Vo;Hung Gia Hoang

410
Citations
A Metric for Performance Evaluation of Multi-Target Tracking Algorithms

B Ristic;Ba-Ngu Vo;D Clark;Ba-Tuong Vo

403
Citations
Adaptive Target Birth Intensity for PHD and CPHD Filters

B. Ristic;D. Clark;Ba-Ngu Vo;Ba-Tuong Vo

377
Citations
A Random-Finite-Set Approach to Bayesian SLAM

J Mullane;Ba-Ngu Vo;M D Adams;Ba-Tuong Vo

364
Citations
A Tutorial on Bernoulli Filters: Theory, Implementation and Applications

B. Ristic;Ba-Tuong Vo;Ba-Ngu Vo;A. Farina

363
Citations
CPHD Filtering With Unknown Clutter Rate and Detection Profile

R. P. S. Mahler;Ba-Tuong Vo;Ba-Ngu Vo

290
Citations
Multiple Extended Target Tracking With Labeled Random Finite Sets

Michael Beard;Stephan Reuter;Karl Granstrom;Ba-Tuong Vo

253
Citations
Generalized Labeled Multi-Bernoulli Approximation of Multi-Object Densities

Francesco Papi;Ba-Ngu Vo;Ba-Tuong Vo;Claudio Fantacci

234
Citations
Bayesian Filtering With Random Finite Set Observations

Ba-Tuong Vo;Ba-Ngu Vo;A. Cantoni

222
Citations
Visual tracking of numerous targets via multi-Bernoulli filtering of image data

Reza Hoseinnezhad;Ba-Ngu Vo;Ba-Tuong Vo;David Suter

195
Citations
Visual Tracking in Background Subtracted Image Sequences via Multi-Bernoulli Filtering

Reza Hoseinnezhad;Ba-Ngu Vo;Ba-Tuong Vo

179
Citations
Robust Multi-Bernoulli Filtering

Ba-Tuong Vo;Ba-Ngu Vo;Reza Hoseinnezhad;Ronald P. S. Mahler

174
Citations

Frequent Co-Authors

Ba-Ngu Vo Curtin University

Reza Hoseinnezhad RMIT University

Dinh Phung Monash University

David Suter Edith Cowan University

Klaus Dietmayer University of Ulm

Branko Ristic RMIT University

Antonio Cantoni University of Western Australia

Sven Nordholm Curtin University

Karl Granstrom Chalmers University of Technology

Arindam Ghosh Curtin University

External Links

Personal website of Ba-Tuong Vo Google Scholar page

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