Ba-Ngu Vo

According to our database, Ba-Ngu Vo authored at least 161 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

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

Track initialization and re-identification for 3D multi-view multi-object tracking.

Linh Van Ma, Tran Thien Dat Nguyen, Ba-Ngu Vo, Hyunsung Jang, Moongu Jeon

Inf. Fusion, 2024

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

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

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

2022

Multi-Scan Multi-Sensor Multi-Object State Estimation.

Diluka Moratuwage, Ba-Ngu Vo, Ba-Tuong Vo, Changbeom Shim

IEEE Trans. Signal Process., 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

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

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

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

Proceedings of the 11th International Conference on Control, 2022

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

Distributed Multi-Object Tracking Under Limited Field of View Sensors.

Hoa Van Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Damith C. Ranasinghe

IEEE Trans. Signal Process., 2021

2020

A Solution for Large-Scale Multi-Object Tracking.

Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo

IEEE Trans. Signal Process., 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

CoRR, 2020

A Bayesian 3D Multi-view Multi-object Tracking Filter.

Jonah Ong, Ba-Tuong Vo, Ba-Ngu Vo, Du Yong Kim, Sven Nordholm

CoRR, 2020

Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Objects.

Hoa Van Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Damith Chinthana Ranasinghe

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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 Multi-Scan Labeled Random Finite Set Model for Multi-Object State Estimation.

Ba-Ngu Vo, Ba-Tuong Vo

IEEE Trans. Signal Process., 2019

Online UAV Path Planning for Joint Detection and Tracking of Multiple Radio-Tagged Objects.

Hoa Van Nguyen, Seyed Hamid Rezatofighi, Ba-Ngu Vo, Damith Chinthana Ranasinghe

IEEE Trans. Signal Process., 2019

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

Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Object.

Hoa Van Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Damith Chinthana Ranasinghe

CoRR, 2019

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 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

Robust Fusion for Multisensor Multiobject Tracking.

Claudio Fantacci, Ba-Ngu Vo, Ba-Tuong Vo, Giorgio Battistelli, Luigi Chisci

IEEE Signal Process. Lett., 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

Multi-Scan Generalized Labeled Multi-Bernoulli Filter.

Ba-Tuong Vo, Ba-Ngu Vo

Proceedings of the 21st International Conference on Information Fusion, 2018

Performance Evaluation for Large-Scale Multi-Target Tracking Algorithms.

Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo

Proceedings of the 21st International Conference on Information Fusion, 2018

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

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

Model-based Classification and Novelty Detection For Point Pattern Data.

Ba-Ngu Vo, Quang N. Tran, Dinh Q. Phung, Ba-Tuong Vo

CoRR, 2017

Model-Based Multiple Instance Learning.

Ba-Ngu Vo, Dinh Q. Phung, Quang N. Tran, 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

Clustering For Point Pattern Data.

Quang N. Tran, Ba-Ngu Vo, Dinh Q. Phung, Ba-Tuong Vo

CoRR, 2017

A generalized labeled multi-Bernoulli tracker for time lapse cell migration.

Du Yong Kim, Ba-Ngu Vo, Aurelne Thian, Yu Suk Choi

Proceedings of the International Conference on Control, 2017

A labeled random finite set spawning model.

Daniel S. Bryant, Ba-Tuong Vo, Ba-Ngu Vo, Brandon A. Jones

Proceedings of the International Conference on Control, 2017

OSPA⁽²⁾: Using the OSPA metric to evaluate multi-target tracking performance.

Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo

Proceedings of the International Conference on Control, 2017

An implementation of the multi-sensor generalized labeled multi-Bernoulli filter via Gibbs sampling.

Ba-Ngu Vo, Ba-Tuong Vo

Proceedings of the 20th International Conference on Information Fusion, 2017

Forward-Backward Smoothing for Hidden Markov Models of Point Pattern Data.

Nhan Dam, Dinh Q. Phung, Ba-Ngu Vo, Viet Huynh

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

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

Online Visual Multi-Object Tracking via Labeled Random Finite Set Filtering.

Du Yong Kim, Ba-Ngu Vo, Ba-Tuong Vo

CoRR, 2016

Model-based classification and novelty detection for point pattern data.

Ba-Ngu Vo, Nhat-Quang Tran, Dinh Q. Phung, Ba-Tuong Vo

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Clustering for point pattern data.

Nhat-Quang Tran, Ba-Ngu Vo, Dinh Q. Phung, Ba-Tuong Vo

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Multi-object particle filter revisited.

Du Yong Kim, Ba-Ngu Vo, Ba-Tuong Vo

Proceedings of the 2016 International Conference on Control, 2016

A Generalized Labeled Multi-Bernoulli filter for maneuvering targets.

Yuthika Punchihewa, Ba-Ngu Vo, Ba-Tuong Vo

Proceedings of the 19th International Conference on Information Fusion, 2016

Generalised labelled multi-Bernoulli forward-backward smoothing.

Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo

Proceedings of the 19th International Conference on Information Fusion, 2016

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

Derivation of the PHD and CPHD Filters Based on Direct Kullback-Leibler Divergence Minimization.

Ángel F. García-Fernández, Ba-Ngu Vo

IEEE Trans. Signal Process., 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

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

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

A Generalized Labeled Multi-Bernoulli Filter Implementation using Gibbs Sampling.

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

CoRR, 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

Derivation of the PHD filter based on direct Kullback-Leibler divergence minimisation.

Ángel F. García-Fernández, Ba-Ngu Vo

Proceedings of the 2015 International Conference on Control, 2015

Challenges of multi-target tracking for space situational awareness.

Brandon A. Jones, Daniel S. Bryant, Ba-Tuong Vo, Ba-Ngu Vo

Proceedings of the 18th International Conference on Information 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

Proceedings of the 18th International Conference on Information Fusion, 2015

Sensor control for multi-target tracking using Cauchy-Schwarz divergence.

Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam

Proceedings of the 18th International Conference on Information Fusion, 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

Proceedings of the 18th International Conference on Information Fusion, 2015

Average Kullback-Leibler divergence for random finite sets.

Giorgio Battistelli, Luigi Chisci, Claudio Fantacci, Alfonso Farina, Ba-Ngu Vo

Proceedings of the 18th International Conference on Information Fusion, 2015

Environment Perception for Companion Systems.

Stephan Reuter, Alexander Scheel, Michael Beard, Karl Granström, Ba-Tuong Vo, Ba-Ngu Vo, Klaus Dietmayer

Proceedings of the 1st International Symposium on Companion-Technology (ISCT 2015), 2015

2014

A Particle Marginal Metropolis-Hastings Multi-Target Tracker.

Anh-Tuyet Vu, Ba-Ngu Vo, Robin J. Evans

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

The Labeled Multi-Bernoulli Filter.

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

IEEE Trans. Signal Process., 2014

SLAM Gets a PHD: New Concepts in Map Estimation.

Martin Adams, Ba-Ngu Vo, Ronald P. S. Mahler, John Mullane

IEEE Robotics Autom. Mag., 2014

Advances in Probabilistic Modeling: Applications of Stochastic Geometry [From the Guest Editors].

Martin Adams, Ba-Ngu Vo, Ronald P. S. Mahler

IEEE Robotics Autom. Mag., 2014

A stochastic geometric approach to sensor array processing.

Ba-Ngu Vo, Ba-Tuong Vo

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Multi-object tracking using labeled multi-Bernoulli random finite sets.

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

Proceedings of the 17th International Conference on Information Fusion, 2014

A random finite set model for data clustering.

Dinh Q. Phung, Ba-Ngu Vo

Proceedings of the 17th International Conference on Information Fusion, 2014

MCMC-based posterior independence approximation for RFS multitarget particle filters.

Ángel F. García-Fernández, Ba-Ngu Vo, Ba-Tuong Vo

Proceedings of the 17th International Conference on Information Fusion, 2014

Multi-target tracking with merged measurements using labelled random finite sets.

Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo

Proceedings of the 17th International Conference on Information Fusion, 2014

2013

Labeled Random Finite Sets and Multi-Object Conjugate Priors.

Ba-Tuong Vo, Ba-Ngu Vo

IEEE Trans. Signal Process., 2013

A Tutorial on Bernoulli Filters: Theory, Implementation and Applications.

Branko Ristic, Ba-Tuong Vo, Ba-Ngu Vo, Alfonso Farina

IEEE Trans. Signal Process., 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 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

Multitarget Filtering With Unknown Clutter Density Using a Bootstrap GMCPHD Filter.

Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo

IEEE Signal Process. Lett., 2013

Robust Multi-Bernoulli Filtering.

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

IEEE J. Sel. Top. Signal Process., 2013

Introduction to the issue on multitarget tracking.

Mahendra Mallick, Ba-Ngu Vo, Thia Kirubarajan, Sanjeev Arulampalam

IEEE J. Sel. Top. Signal Process., 2013

Circumventing the Feature Association Problem in SLAM.

Martin Adams, John Mullane, Ba-Ngu Vo

IEEE Intell. Transp. Syst. Mag., 2013

A Multiple Model Probability Hypothesis Density Tracker for Time-Lapse Cell Microscopy Sequences.

Seyed Hamid Rezatofighi, Stephen Gould, Ba-Ngu Vo, Katarina Mele, William E. Hughes, Richard I. Hartley

Proceedings of the Information Processing in Medical Imaging, 2013

Keynote speaker II: Multi-object systems and their applications.

Ba-Ngu Vo

Proceedings of the 2013 IEEE International Conference on Signal and Image Processing Applications, 2013

Collaborative Multi-vehicle SLAM with moving object tracking.

Diluka Moratuwage, Ba-Ngu Vo, Danwei Wang

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

An introduction to force and measurement modeling for space object tracking.

Mahendra Mallick, Steve Rubin, Ba-Ngu Vo

Proceedings of the 16th International Conference on Information Fusion, 2013

An overview of space situational awareness.

John A. Kennewell, Ba-Ngu Vo

Proceedings of the 16th International Conference on Information Fusion, 2013

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

Closed-Form Solutions to Forward-Backward Smoothing.

Ba-Ngu Vo, Ba-Tuong Vo, Ronald P. S. Mahler

IEEE Trans. Signal Process., 2012

Adaptive Target Birth Intensity for PHD and CPHD Filters.

Branko Ristic, Daniel E. Clark, Ba-Ngu Vo, Ba-Tuong Vo

IEEE Trans. Aerosp. Electron. Syst., 2012

Forward-Backward Probability Hypothesis Density Smoothing.

Ronald P. S. Mahler, Ba-Tuong Vo, Ba-Ngu Vo

IEEE Trans. Aerosp. Electron. Syst., 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

Extending Bayesian RFS SLAM to multi-vehicle SLAM.

Diluka Moratuwage, Ba-Ngu Vo, Danwei Wang, Han Wang

Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

Multi-Bernoulli based track-before-detect with road constraints.

Shanhung Wong, Ba-Tuong Vo, Ba-Ngu Vo, Reza Hoseinnezhad

Proceedings of the 15th International Conference on Information Fusion, 2012

The para-normal Bayes multi-target filter and the spooky effect.

Ba-Tuong Vo, Ba-Ngu Vo

Proceedings of the 15th International Conference on Information Fusion, 2012

A hierarchical approach to the Multi-Vehicle SLAM problem.

Diluka Moratuwage, Ba-Ngu Vo, Danwei Wang

Proceedings of the 15th International Conference on Information Fusion, 2012

Gaussian mixture PHD and CPHD filtering with partially uniform target birth.

Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam

Proceedings of the 15th International Conference on Information Fusion, 2012

2011

Bernoulli Forward-Backward Smoothing for Joint Target Detection and Tracking.

Ba-Tuong Vo, Daniel E. Clark, Ba-Ngu Vo, Branko Ristic

IEEE Trans. Signal Process., 2011

A Metric for Performance Evaluation of Multi-Target Tracking Algorithms.

Branko Ristic, Ba-Ngu Vo, Daniel E. Clark, Ba-Tuong Vo

IEEE Trans. Signal Process., 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 Random-Finite-Set Approach to Bayesian SLAM.

John Mullane, Ba-Ngu Vo, Martin David Adams, Ba-Tuong Vo

IEEE Trans. Robotics, 2011

A Note on the Reward Function for PHD Filters with Sensor Control.

Branko Ristic, Ba-Ngu Vo, Daniel E. Clark

IEEE Trans. Aerosp. Electron. Syst., 2011

Mobile Robotics in a Random Finite Set Framework.

John Mullane, Ba-Ngu Vo, Martin Adams, Ba-Tuong Vo

Proceedings of the Advances in Swarm Intelligence - Second International Conference, 2011

Visual Tracking of Multiple Targets by Multi-Bernoulli Filtering of Background Subtracted Image Data.

Reza Hoseinnezhad, Ba-Ngu Vo, Truong Nguyen Vu

Proceedings of the Advances in Swarm Intelligence - Second International Conference, 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

Proceedings of the IEEE International Conference on Acoustics, 2011

Particle Markov Chain Monte Carlo for Bayesian multi-target tracking.

Anh-Tuyet Vu, Ba-Ngu Vo, Robin J. Evans

Proceedings of the 14th International Conference on Information Fusion, 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

Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

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 Tracts in Advanced Robotics 72, Springer, ISBN: 978-3-642-21389-2, 2011

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

Error bounds for joint detection and estimation of a single object with random finite set observation.

Mohammad Rezaeian, Ba-Ngu Vo

IEEE Trans. Signal Process., 2010

Nonlinear Bayesian filtering using the unscented linear fractional transformation model.

Syed Ahmed Pasha, Hoang Duong Tuan, Ba-Ngu Vo

IEEE Trans. Signal Process., 2010

Bayesian multi-object filtering with amplitude feature likelihood for unknown object SNR.

Daniel E. Clark, Branko Ristic, Ba-Ngu Vo, Ba-Tuong Vo

IEEE Trans. Signal Process., 2010

The Optimal Observability of Partially Observable Markov Decision Processes: Discrete State Space.

Mohammad Rezaeian, Ba-Ngu Vo, Jamie S. Evans

IEEE Trans. Autom. Control., 2010

Sensor control for multi-object state-space estimation using random finite sets.

Branko Ristic, Ba-Ngu Vo

Autom., 2010

Rao-Blackwellised PHD SLAM.

John Mullane, Ba-Ngu Vo, Martin David Adams

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Multi-object filtering from image sequence without detection.

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

Proceedings of the IEEE International Conference on Acoustics, 2010

A closed form solution to the Probability Hypothesis Density Smoother.

Ba-Ngu Vo, Ba-Tuong Vo, Ronald P. S. Mahler

Proceedings of the 13th Conference on Information Fusion, 2010

Performance evaluation of multi-target tracking using the OSPA metric.

Branko Ristic, Ba-Ngu Vo, Daniel E. Clark

Proceedings of the 13th Conference on Information Fusion, 2010

Improved SMC implementation of the PHD filter.

Branko Ristic, Daniel E. Clark, Ba-Ngu Vo

Proceedings of the 13th Conference on Information Fusion, 2010

The forward-backward Probability Hypothesis Density smoother.

Ronald P. S. Mahler, Ba-Ngu Vo, Ba-Tuong Vo

Proceedings of the 13th Conference on Information Fusion, 2010

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

Filters for Spatial Point Processes.

Sumeetpal S. Singh, Ba-Ngu Vo, Adrian J. Baddeley, Sergei A. Zuyev

SIAM J. Control. Optim., 2009

Bayesian multi-object estimation from image observations.

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

Proceedings of the 12th International Conference on Information Fusion, 2009

Forward-backward sequential Monte Carlo smoothing for joint target detection and tracking.

Daniel E. Clark, Ba-Tuong Vo, Ba-Ngu Vo

Proceedings of the 12th International Conference on Information Fusion, 2009

2008

Bayesian Filtering With Random Finite Set Observations.

Ba-Tuong Vo, Ba-Ngu Vo, Antonio Cantoni

IEEE Trans. Signal Process., 2008

A Consistent Metric for Performance Evaluation of Multi-Object Filters.

Dominic Schuhmacher, Ba-Tuong Vo, Ba-Ngu Vo

IEEE Trans. Signal Process., 2008

A random set formulation for Bayesian SLAM.

John Mullane, Ba-Ngu Vo, Martin David Adams, Wijerupage Sardha Wijesoma

Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

On performance evaluation of multi-object filters.

Dominic Schuhmacher, Ba-Tuong Vo, Ba-Ngu Vo

Proceedings of the 11th International Conference on Information Fusion, 2008

PHD Filtering with target amplitude feature.

Daniel E. Clark, Branko Ristic, Ba-Ngu Vo

Proceedings of the 11th International Conference on Information Fusion, 2008

2007

Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter.

Ba-Tuong Vo, Ba-Ngu Vo, Antonio Cantoni

IEEE Trans. Signal Process., 2007

Efficient Large-Scale Filter/Filterbank Design via LMI Characterization of Trigonometric Curves.

Hoang Duong Tuan, Tran Thai Son, Ba-Ngu Vo, Truong Q. Nguyen

IEEE Trans. Signal Process., 2007

Symmetric Orthogonal Complex-Valued Filter Bank Design by Semidefinite Programming.

Ha Hoang Kha, Hoang Duong Tuan, Ba-Ngu Vo, Truong Q. Nguyen

IEEE Trans. Signal Process., 2007

Convergence Analysis of the Gaussian Mixture PHD Filter.

Daniel E. Clark, Ba-Ngu Vo

IEEE Trans. Signal Process., 2007

Simulation-based optimal sensor scheduling with application to observer trajectory planning.

Sumeetpal S. Singh, Nikolaos Kantas, Ba-Ngu Vo, Arnaud Doucet, Robin J. Evans

Autom., 2007

Entropy of General Gaussian Distributions and MIMO Channel Capacity Maximizing Precoder and Decoder.

Hoang Duong Tuan, Duong-Hung Pham, Ba-Ngu Vo, Truong Q. Nguyen

Proceedings of the IEEE International Conference on Acoustics, 2007

A Bayesian Approach to Target Tracking with Finite-Set-Valued Observations.

Ba-Tuong Vo, Ba-Ngu Vo, Antonio Cantoni

Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007

2006

The Gaussian Mixture Probability Hypothesis Density Filter.

Ba-Ngu Vo, Wing-Kin Ma

IEEE Trans. Signal Process., 2006

Tracking an unknown time-varying number of speakers using TDOA measurements: a random finite set approach.

Wing-Kin Ma, Ba-Ngu Vo, Sumeetpal S. Singh, Adrian J. Baddeley

IEEE Trans. Signal Process., 2006

Blind ML detection of orthogonal space-time block codes: efficient high-performance implementations.

Wing-Kin Ma, Ba-Ngu Vo, Timothy N. Davidson, Pak-Chung Ching

IEEE Trans. Signal Process., 2006

Jointly Optimal Precoding/Postcoding for Colored MIMO Systems.

Duong-Hung Pham, Hoang Duong Tuan, Ba-Ngu Vo, Truong Q. Nguyen

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

SDP for 2-d Filter Design: General Formulation and Dimension Reduction Techniques.

T. Q. Hung, Hoang Duong Tuan, Ba-Ngu Vo, Truong Q. Nguyen

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Performance of PHD Based Multi-Target Filters.

Ba-Tuong Vo, Ba-Ngu Vo, Antonio Cantoni

Proceedings of the 9th International Conference on Information Fusion, 2006

Closed Form PHD Filtering for Linear Jump Markov Models.

Ahmed Pasha, Ba-Ngu Vo, Hoang Duong Tuan, Wing-Kin Ma

Proceedings of the 9th International Conference on Information Fusion, 2006

The GM-PHD Filter Multiple Target Tracker.

Daniel E. Clark, Kusha Panta, Ba-Ngu Vo

Proceedings of the 9th International Conference on Information Fusion, 2006

The Cardinalized Probability Hypothesis Density Filter for Linear Gaussian Multi-Target Models.

Ba-Tuong Vo, Ba-Ngu Vo, Antonio Cantoni

Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006

A Gaussian Mixture PHD Filter for Nonlinear Jump Markov Models.

Ba-Ngu Vo, Ahmed Pasha, Hoang Duong Tuan

Proceedings of the 45th IEEE Conference on Decision and Control, 2006

A dual frequency-selective bounded real lemma and its applications to IIR filter design.

Hoang Duong Tuan, Nguyen Thien Hoang, Hung Q. Ngo, Hoang Tuy, Ba-Ngu Vo

Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005

Mask constrained beam pattern synthesis for large arrays.

Hung Gia Hoang, Ba-Ngu Vo, Hoang Duong Tuan, Tran Thai Son

Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005

Localizing an unknown time-varying number of speakers: a Bayesian random finite set approach.

Ba-Ngu Vo, Wing-Kin Ma, Sumeetpal S. Singh

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

LMI characterization for the convex hull of trigonometric curves and applications.

Hoang Duong Tuan, Tran Thai Son, Ba-Ngu Vo, Truong Q. Nguyen

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

On implementing the blind ML receiver for orthogonal space-time block codes.

Wing-Kin Ma, Ba-Ngu Vo, Timothy N. Davidson, Pak-Chung Ching

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

Crosstalk resilient interference cancellation in microphone arrays using Capon beamforming.

Wing-Kin Ma, Pak-Chung Ching, Ba-Ngu Vo

IEEE Trans. Speech Audio Process., 2004

Analog envelop constrained filter with input uncertainty.

Ba-Ngu Vo, Alex S. Leong, Pok Iu

Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

Tracking multiple speakers using random sets.

Ba-Ngu Vo, Sumeetpal S. Singh, Wing-Kin Ma

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Blind symbol identifiability of orthogonal space-time block codes.

Wing-Kin Ma, P. C. Ching, Timothy N. Davidson, Ba-Ngu Vo

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Joint detection and tracking of multiple maneuvering targets in clutter using random finite sets.

Ba-Ngu Vo, Wing-Kin Ma

Proceedings of the 8th International Conference on Control, 2004

2003

Adaptive envelope-constrained filtering.

Ba-Ngu Vo, Sumeetpal S. Singh, Vladislav Z. B. Tadic

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Stochastic approximation for optimal observer trajectory planning.

Sumeetpal S. Singh, Ba-Ngu Vo, Arnaud Doucet, Robin J. Evans

Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2000

Robust design of Transmit Pulse Shape.

Ba-Ngu Vo, Antonio Cantoni

Proceedings of the 10th European Signal Processing Conference, 2000

1998

Continuous-time envelope constrained filter design with input uncertainty.

Ba-Ngu Vo, Antonio Cantoni

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997

A penalty approach to iterative algorithms for envelope constrained filter design.

Ba-Ngu Vo, Antonio Cantoni, Kok Lay Teo

IEEE Trans. Signal Process., 1997

Envelope constrained filter with linear interpolator.

Ba-Ngu Vo, Antonio Cantoni, Kok Lay Teo

IEEE Trans. Signal Process., 1997

FIR filters in continuous-time envelope constrained filter design.

Ba-Ngu Vo, Thi-Ngoc Ho, Antonio Cantoni, Victor Sreeram

Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996

Applications of discrete-time Laguerre networks to envelope constrained filter design.

Zhuquan Zang, Ba-Ngu Vo, Antonio Cantoni, Kok Lay Teo

Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995

Improved Recursive Procedures for Envelope-Constrained Filtering.

Wei Xing Zheng, Ba-Ngu Vo, Antonio Cantoni, Kok Lay Teo

Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995

Iterative algorithms for envelope constrained filter design.

Ba-Ngu Vo, Antonio Cantoni, Kok Lay Teo

Proceedings of the 1995 International Conference on Acoustics, 1995