The Cardinalized Probability Hypothesis Density Filter for Linear Gaussian Multi-Target Models. - Ba-Tuong Vo; Ba-Ngu Vo; Antonio Cantoni (CISS, 2006)

Performance of PHD Based Multi-Target Filters. - Ba-Tuong Vo; Ba-Ngu Vo; Antonio Cantoni (FUSION, 2006)

A Bayesian Approach to Target Tracking with Finite-Set-Valued Observations. - Ba-Tuong Vo; Ba-Ngu Vo; Antonio Cantoni (ISIC, 2007)

Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter. - Ba-Tuong Vo; Ba-Ngu Vo; Antonio Cantoni (IEEE Trans. Signal Process., 2007)

On performance evaluation of multi-object filters. - Dominic Schuhmacher; Ba-Tuong Vo; Ba-Ngu Vo (FUSION, 2008)

A Consistent Metric for Performance Evaluation of Multi-Object Filters. - Dominic Schuhmacher; Ba-Tuong Vo; Ba-Ngu Vo (IEEE Trans. Signal Process., 2008)

Bayesian Filtering With Random Finite Set Observations. - Ba-Tuong Vo; Ba-Ngu Vo; Antonio Cantoni (IEEE Trans. Signal Process., 2008)

Forward-backward sequential Monte Carlo smoothing for joint target detection and tracking. - Daniel E. Clark; Ba-Tuong Vo; Ba-Ngu Vo (FUSION, 2009)

Bayesian multi-object estimation from image observations. - Ba-Ngu Vo; Ba-Tuong Vo; Nam-Trung Pham; David Suter (FUSION, 2009)

The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations. - Ba-Tuong Vo; Ba-Ngu Vo; Antonio Cantoni (IEEE Trans. Signal Process., 2009)

The forward-backward Probability Hypothesis Density smoother. - Ronald P. S. Mahler; Ba-Ngu Vo; Ba-Tuong Vo (FUSION, 2010)

A closed form solution to the Probability Hypothesis Density Smoother. - Ba-Ngu Vo; Ba-Tuong Vo; Ronald P. S. Mahler (FUSION, 2010)

Multi-object filtering from image sequence without detection. - Reza Hoseinnezhad; Ba-Ngu Vo; David Suter; Ba-Tuong Vo (ICASSP, 2010)

Bayesian multi-object filtering with amplitude feature likelihood for unknown object SNR. - Daniel E. Clark; Branko Ristic 001; Ba-Ngu Vo; Ba-Tuong Vo (IEEE Trans. Signal Process., 2010)

Joint detection and estimation of multiple objects from image observations. - Ba-Ngu Vo; Ba-Tuong Vo; Nam-Trung Pham; David Suter (IEEE Trans. Signal Process., 2010)

Random Finite Sets for Robot Mapping and SLAM - New Concepts in Autonomous Robotic Map Representations - John Mullane; Ba-Ngu Vo; Martin Adams; Ba-Tuong Vo (Springer, 2011)

Multi-Bernoulli filtering with unknown clutter intensity and sensor field-of-view. - Ba-Tuong Vo; Ba-Ngu Vo; Reza Hoseinnezhad; Ronald P. S. Mahler (CISS, 2011)

Bayesian integration of audio and visual information for multi-target tracking using a CB-member filter. - Reza Hoseinnezhad; Ba-Ngu Vo; Ba-Tuong Vo; David Suter (ICASSP, 2011)

Mobile Robotics in a Random Finite Set Framework. - John Mullane; Ba-Ngu Vo; Martin Adams; Ba-Tuong Vo (ICSI (2), 2011)

A Random-Finite-Set Approach to Bayesian SLAM. - John Mullane; Ba-Ngu Vo; Martin David Adams; Ba-Tuong Vo (IEEE Trans. Robotics, 2011)

CPHD Filtering With Unknown Clutter Rate and Detection Profile. - Ronald P. S. Mahler; Ba-Tuong Vo; Ba-Ngu Vo (IEEE Trans. Signal Process., 2011)

A Metric for Performance Evaluation of Multi-Target Tracking Algorithms. - Branko Ristic 001; Ba-Ngu Vo; Daniel E. Clark; Ba-Tuong Vo (IEEE Trans. Signal Process., 2011)

Bernoulli Forward-Backward Smoothing for Joint Target Detection and Tracking. - Ba-Tuong Vo; Daniel E. Clark; Ba-Ngu Vo; Branko Ristic 001 (IEEE Trans. Signal Process., 2011)

On Bayesian filtering for multi-object systems. - Ba-Tuong Vo (CISS, 2012)

Gaussian mixture PHD and CPHD filtering with partially uniform target birth. - Michael Beard; Ba-Tuong Vo; Ba-Ngu Vo; Sanjeev Arulampalam (FUSION, 2012)

The para-normal Bayes multi-target filter and the spooky effect. - Ba-Tuong Vo; Ba-Ngu Vo (FUSION, 2012)

Multi-Bernoulli based track-before-detect with road constraints. - Shanhung Wong; Ba-Tuong Vo; Ba-Ngu Vo; Reza Hoseinnezhad (FUSION, 2012)

Visual tracking of numerous targets via multi-Bernoulli filtering of image data. - Reza Hoseinnezhad; Ba-Ngu Vo; Ba-Tuong Vo; David Suter (Pattern Recognit., 2012)

Forward-Backward Probability Hypothesis Density Smoothing. - Ronald P. S. Mahler; Ba-Tuong Vo; Ba-Ngu Vo (IEEE Trans. Aerosp. Electron. Syst., 2012)

Adaptive Target Birth Intensity for PHD and CPHD Filters. - Branko Ristic 001; Daniel E. Clark; Ba-Ngu Vo; Ba-Tuong Vo (IEEE Trans. Aerosp. Electron. Syst., 2012)

Multi-Sensor Joint Detection and Tracking with the Bernoulli Filter. - Ba-Tuong Vo; Chong Meng Samson See; Ning Ma; Wee Teck Ng (IEEE Trans. Aerosp. Electron. Syst., 2012)

Closed-Form Solutions to Forward-Backward Smoothing. - Ba-Ngu Vo; Ba-Tuong Vo; Ronald P. S. Mahler (IEEE Trans. Signal Process., 2012)

Reply to "Comments on 'Joint Detection and Estimation of Multiple Objects from Image Observations'". - Ba-Ngu Vo; Ba-Tuong Vo; Nam-Trung Pham; David Suter (IEEE Trans. Signal Process., 2012)

Control of sensor with unknown clutter and detection profile using Multi-Bernoulli filter. - Amirali Khodadadian Gostar; Reza Hoseinnezhad; Alireza Bab-Hadiashar; Ba-Tuong Vo (FUSION, 2013)

Divergence detectors for the δ-generalized labeled multi-Bernoulli filter. - Stephan Reuter; Ba-Tuong Vo; Benjamin Wilking; Daniel Alexander Meissner; Klaus Dietmayer (SDF, 2013)

Robust Multi-Bernoulli Filtering. - Ba-Tuong Vo; Ba-Ngu Vo; Reza Hoseinnezhad; Ronald P. S. Mahler (IEEE J. Sel. Top. Signal Process., 2013)

Multitarget Filtering With Unknown Clutter Density Using a Bootstrap GMCPHD Filter. - Michael Beard; Ba-Tuong Vo; Ba-Ngu Vo (IEEE Signal Process. Lett., 2013)

A Partially Uniform Target Birth Model for Gaussian Mixture PHD/CPHD Filtering. - Michael Beard; Ba-Tuong Vo; Ba-Ngu Vo; Sanjeev Arulampalam (IEEE Trans. Aerosp. Electron. Syst., 2013)

Visual Tracking in Background Subtracted Image Sequences via Multi-Bernoulli Filtering. - Reza Hoseinnezhad; Ba-Ngu Vo; Ba-Tuong Vo (IEEE Trans. Signal Process., 2013)

A Tutorial on Bernoulli Filters: Theory, Implementation and Applications. - Branko Ristic 001; Ba-Tuong Vo; Ba-Ngu Vo; Alfonso Farina (IEEE Trans. Signal Process., 2013)

Labeled Random Finite Sets and Multi-Object Conjugate Priors. - Ba-Tuong Vo; Ba-Ngu Vo (IEEE Trans. Signal Process., 2013)

Multi-target tracking with merged measurements using labelled random finite sets. - Michael Beard; Ba-Tuong Vo; Ba-Ngu Vo (FUSION, 2014)

MCMC-based posterior independence approximation for RFS multitarget particle filters. - Ángel F. García-Fernández; Ba-Ngu Vo; Ba-Tuong Vo (FUSION, 2014)

Multi-object tracking using labeled multi-Bernoulli random finite sets. - Stephan Reuter; Ba-Tuong Vo; Ba-Ngu Vo; Klaus Dietmayer (FUSION, 2014)

Multiple moving speaker tracking via degenerate unmixing estimation technique and Cardinality Balanced Multi-target Multi-Bernoulli Filter (DUET-CBMeMBer). - Nicholas Chong; Shanhung Wong; Ba-Tuong Vo; Sven Nordholm; Iain Murray 002 (ISSNIP, 2014)

A stochastic geometric approach to sensor array processing. - Ba-Ngu Vo; Ba-Tuong Vo (SSP, 2014)

Sensor management for multi-target tracking via multi-Bernoulli filtering. - Hung Gia Hoang; Ba-Tuong Vo (Autom., 2014)

Bernoulli Forward-Backward Smoothing for Track-Before-Detect. - Shanhung Wong; Ba-Tuong Vo; Francesco Papi (IEEE Signal Process. Lett., 2014)

The Labeled Multi-Bernoulli Filter. - Stephan Reuter; Ba-Tuong Vo; Ba-Ngu Vo; Klaus Dietmayer (IEEE Trans. Signal Process., 2014)

Labeled Random Finite Sets and the Bayes Multi-Target Tracking Filter. - Ba-Ngu Vo; Ba-Tuong Vo; Dinh Q. Phung (IEEE Trans. Signal Process., 2014)

Environment Perception for Companion Systems. - Stephan Reuter; Alexander Scheel; Michael Beard; Karl Granström; Ba-Tuong Vo; Ba-Ngu Vo; Klaus Dietmayer (ISCT, 2015)

A generalised labelled multi-Bernoulli filter for extended multi-target tracking. - Michael Beard; Stephan Reuter; Karl Granström; Ba-Tuong Vo; Ba-Ngu Vo; Alexander Scheel (FUSION, 2015)

Sensor control for multi-target tracking using Cauchy-Schwarz divergence. - Michael Beard; Ba-Tuong Vo; Ba-Ngu Vo; Sanjeev Arulampalam (FUSION, 2015)

A fast implementation of the generalized labeled multi-Bernoulli filter with joint prediction and update. - Hung Gia Hoang; Ba-Tuong Vo; Ba-Ngu Vo (FUSION, 2015)

Challenges of multi-target tracking for space situational awareness. - Brandon A. Jones; Daniel S. Bryant; Ba-Tuong Vo; Ba-Ngu Vo (FUSION, 2015)

Consensus Labeled Random Finite Set Filtering for Distributed Multi-Object Tracking. - Claudio Fantacci; Ba-Ngu Vo; Ba-Tuong Vo; Giorgio Battistelli; Luigi Chisci (CoRR, 2015)

A Generalized Labeled Multi-Bernoulli Filter Implementation using Gibbs Sampling. - Hung Gia Hoang; Ba-Tuong Vo; Ba-Ngu Vo (CoRR, 2015)

The Cauchy-Schwarz Divergence for Poisson Point Processes. - Hung Gia Hoang; Ba-Ngu Vo; Ba-Tuong Vo; Ronald P. S. Mahler (IEEE Trans. Inf. Theory, 2015)

Multi-Target Tracking With Time-Varying Clutter Rate and Detection Profile: Application to Time-Lapse Cell Microscopy Sequences. - Seyed Hamid Rezatofighi; Stephen Gould; Ba-Tuong Vo; Ba-Ngu Vo; Katarina Mele; Richard I. Hartley (IEEE Trans. Medical Imaging, 2015)

Bayesian Multi-Target Tracking With Merged Measurements Using Labelled Random Finite Sets. - Michael Beard; Ba-Tuong Vo; Ba-Ngu Vo (IEEE Trans. Signal Process., 2015)

Generalized Labeled Multi-Bernoulli Approximation of Multi-Object Densities. - Francesco Papi; Ba-Ngu Vo; Ba-Tuong Vo; Claudio Fantacci; Michael Beard (IEEE Trans. Signal Process., 2015)

Generalised labelled multi-Bernoulli forward-backward smoothing. - Michael Beard; Ba-Tuong Vo; Ba-Ngu Vo (FUSION, 2016)

A Generalized Labeled Multi-Bernoulli filter for maneuvering targets. - Yuthika Punchihewa; Ba-Ngu Vo; Ba-Tuong Vo (FUSION, 2016)

Tracking and separation of multiple moving speech sources via cardinality balanced multi-target multi Bernoulli (CBMeMBer) filter and time frequency masking. - Nicholas Chong; Sven Nordholm; Ba-Tuong Vo; Iain Murray 002 (ICCAIS, 2016)

Multi-object particle filter revisited. - Du Yong Kim; Ba-Ngu Vo; Ba-Tuong Vo (ICCAIS, 2016)

Measurement driven birth model for the generalized labeled multi-Bernoulli filter. - Shoufeng Lin; Ba-Tuong Vo; Sven E. Nordholm (ICCAIS, 2016)

Clustering for point pattern data. - Nhat-Quang Tran; Ba-Ngu Vo; Dinh Q. Phung; Ba-Tuong Vo (ICPR, 2016)

Model-based classification and novelty detection for point pattern data. - Ba-Ngu Vo; Nhat-Quang Tran; Dinh Q. Phung; Ba-Tuong Vo (ICPR, 2016)

Online Visual Multi-Object Tracking via Labeled Random Finite Set Filtering. - Du Yong Kim; Ba-Ngu Vo; Ba-Tuong Vo (CoRR, 2016)

Multiple Extended Target Tracking With Labeled Random Finite Sets. - Michael Beard; Stephan Reuter; Karl Granström; Ba-Tuong Vo; Ba-Ngu Vo; Alexander Scheel (IEEE Trans. Signal Process., 2016)

An implementation of the multi-sensor generalized labeled multi-Bernoulli filter via Gibbs sampling. - Ba-Ngu Vo; Ba-Tuong Vo (FUSION, 2017)

OSPA(2): Using the OSPA metric to evaluate multi-target tracking performance. - Michael Beard; Ba-Tuong Vo; Ba-Ngu Vo (ICCAIS, 2017)

A labeled random finite set spawning model. - Daniel S. Bryant; Ba-Tuong Vo; Ba-Ngu Vo; Brandon A. Jones (ICCAIS, 2017)

Multiple speaker tracking with the GLMB filter. - Du Yong Kim; Ba-Tuong Vo; Sven Nordholm (ICCAIS, 2017)

Clustering For Point Pattern Data. - Quang N. Tran; Ba-Ngu Vo; Dinh Q. Phung; Ba-Tuong Vo (CoRR, 2017)

Multiple Instance Learning with the Optimal Sub-Pattern Assignment Metric. - Quang N. Tran; Ba-Ngu Vo; Dinh Q. Phung; Ba-Tuong Vo; Nguyen Cong Thuong (CoRR, 2017)

Model-Based Multiple Instance Learning. - Ba-Ngu Vo; Dinh Q. Phung; Quang N. Tran; Ba-Tuong Vo (CoRR, 2017)

Model-based Classification and Novelty Detection For Point Pattern Data. - Ba-Ngu Vo; Quang N. Tran; Dinh Q. Phung; Ba-Tuong Vo (CoRR, 2017)

Void Probabilities and Cauchy-Schwarz Divergence for Generalized Labeled Multi-Bernoulli Models. - Michael Beard; Ba-Tuong Vo; Ba-Ngu Vo; Sanjeev Arulampalam (IEEE Trans. Signal Process., 2017)

An Efficient Implementation of the Generalized Labeled Multi-Bernoulli Filter. - Ba-Ngu Vo; Ba-Tuong Vo; Hung Gia Hoang (IEEE Trans. Signal Process., 2017)

Performance Evaluation for Large-Scale Multi-Target Tracking Algorithms. - Michael Beard; Ba-Tuong Vo; Ba-Ngu Vo (FUSION, 2018)

Multi-Scan Generalized Labeled Multi-Bernoulli Filter. - Ba-Tuong Vo; Ba-Ngu Vo (FUSION, 2018)

Model-based learning for point pattern data. - Ba-Ngu Vo; Nhan Dam; Dinh Q. Phung; Quang N. Tran; Ba-Tuong Vo (Pattern Recognit., 2018)

Robust Fusion for Multisensor Multiobject Tracking. - Claudio Fantacci; Ba-Ngu Vo; Ba-Tuong Vo; Giorgio Battistelli; Luigi Chisci (IEEE Signal Process. Lett., 2018)

A Generalized Labeled Multi-Bernoulli Filter With Object Spawning. - Daniel S. Bryant; Ba-Tuong Vo; Ba-Ngu Vo; Brandon A. Jones (IEEE Trans. Signal Process., 2018)

Multiple Object Tracking in Unknown Backgrounds With Labeled Random Finite Sets. - Yuthika Gardiyawasam Punchihewa; Ba-Tuong Vo; Ba-Ngu Vo; Du Yong Kim (IEEE Trans. Signal Process., 2018)

A labeled random finite set online multi-object tracker for video data. - Du Yong Kim; Ba-Ngu Vo; Ba-Tuong Vo; Moongu Jeon (Pattern Recognit., 2019)

A Multi-Scan Labeled Random Finite Set Model for Multi-Object State Estimation. - Ba-Ngu Vo; Ba-Tuong Vo (IEEE Trans. Signal Process., 2019)

Multi-Sensor Multi-Object Tracking With the Generalized Labeled Multi-Bernoulli Filter. - Ba-Ngu Vo; Ba-Tuong Vo; Michael Beard (IEEE Trans. Signal Process., 2019)

A Bayesian 3D Multi-view Multi-object Tracking Filter. - Jonah Ong; Ba-Tuong Vo; Ba-Ngu Vo; Du Yong Kim; Sven Nordholm (CoRR, 2020)

How Trustworthy are the Existing Performance Evaluations for Basic Vision Tasks? - Hamid Rezatofighi; Tran Thien Dat Nguyen; Ba-Ngu Vo; Ba-Tuong Vo; Silvio Savarese; Ian D. Reid 001 (CoRR, 2020)

A Solution for Large-Scale Multi-Object Tracking. - Michael Beard; Ba-Tuong Vo; Ba-Ngu Vo (IEEE Trans. Signal Process., 2020)

Blind Separation for Multiple Moving Sources With Labeled Random Finite Sets. - Jonah Ong; Ba-Tuong Vo; Sven Nordholm (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Tracking Cells and Their Lineages Via Labeled Random Finite Sets. - Tran Thien Dat Nguyen; Ba-Ngu Vo; Ba-Tuong Vo; Du Yong Kim; Yu Suk Choi (IEEE Trans. Signal Process., 2021)

Target Motion Analysis via Hard and Soft Data Fusion. - Yuthika Punchihewa; Ba-Tuong Vo; Ba-Ngu Vo; Amanda Bessell; Sanjeev Arulampalam; Jessica Irons; Samuel J. Davey (ICCAIS, 2022)

Multi-Objective Multi-Agent Planning for Discovering and Tracking Unknown and Varying Number of Mobile Objects. - Hoa Van Nguyen; Ba-Ngu Vo; Ba-Tuong Vo; Hamid Rezatofighi; Damith C. Ranasinghe (CoRR, 2022)

A Bayesian Filter for Multi-View 3D Multi-Object Tracking With Occlusion Handling. - Jonah Ong; Ba-Tuong Vo; Ba-Ngu Vo; Du Yong Kim; Sven Nordholm (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Audio-Visual Based Online Multi-Source Separation. - Jonah Ong; Ba-Tuong Vo; Sven Nordholm; Ba-Ngu Vo; Diluka Moratuwage; Changbeom Shim (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Multi-Scan Multi-Sensor Multi-Object State Estimation. - Diluka Moratuwage; Ba-Ngu Vo; Ba-Tuong Vo; Changbeom Shim (IEEE Trans. Signal Process., 2022)

Linear Complexity Gibbs Sampling for Generalized Labeled Multi-Bernoulli Filtering. - Changbeom Shim; Ba-Tuong Vo; Ba-Ngu Vo; Jonah Ong; Diluka Moratuwage (IEEE Trans. Signal Process., 2023)

How Trustworthy are Performance Evaluations for Basic Vision Tasks? - Tran Thien Dat Nguyen; Hamid Rezatofighi; Ba-Ngu Vo; Ba-Tuong Vo; Silvio Savarese; Ian D. Reid 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Multi-Objective Multi-Agent Planning for Discovering and Tracking Multiple Mobile Objects. - Hoa Van Nguyen; Ba-Ngu Vo; Ba-Tuong Vo; Hamid Rezatofighi; Damith C. Ranasinghe (IEEE Trans. Signal Process., 2024)

An Overview of Multi-Object Estimation via Labeled Random Finite Set. - Ba-Ngu Vo; Ba-Tuong Vo; Tran Thien Dat Nguyen; Changbeom Shim (IEEE Trans. Signal Process., 2024)

The Mean of Multi-Object Trajectories. - Tran Thien Dat Nguyen; Ba-Tuong Vo; Ba-Ngu Vo; Hoa Van Nguyen; Changbeom Shim (CoRR, 2025)