Iterative algorithms for envelope constrained filter design. - Ba-Ngu Vo; Antonio Cantoni; Kok Lay Teo (ICASSP, 1995)

Improved Recursive Procedures for Envelope-Constrained Filtering. - Wei Xing Zheng 001; Ba-Ngu Vo; Antonio Cantoni; Kok Lay Teo (ISCAS, 1995)

Applications of discrete-time Laguerre networks to envelope constrained filter design. - Zhuquan Zang; Ba-Ngu Vo; Antonio Cantoni; Kok Lay Teo (ICASSP, 1996)

FIR filters in continuous-time envelope constrained filter design. - Ba-Ngu Vo; Thi-Ngoc Ho; Antonio Cantoni; Victor Sreeram (ICASSP, 1997)

Envelope constrained filter with linear interpolator. - Ba-Ngu Vo; Antonio Cantoni; Kok Lay Teo (IEEE Trans. Signal Process., 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)

Continuous-time envelope constrained filter design with input uncertainty. - Ba-Ngu Vo; Antonio Cantoni (ICASSP, 1998)

Robust design of Transmit Pulse Shape. - Ba-Ngu Vo; Antonio Cantoni (EUSIPCO, 2000)

Stochastic approximation for optimal observer trajectory planning. - Sumeetpal S. Singh; Ba-Ngu Vo; Arnaud Doucet; Robin J. Evans 001 (CDC, 2003)

Adaptive envelope-constrained filtering. - Ba-Ngu Vo; Sumeetpal S. Singh; Vladislav Z. B. Tadic (ICASSP (6), 2003)

Joint detection and tracking of multiple maneuvering targets in clutter using random finite sets. - Ba-Ngu Vo; Wing-Kin Ma (ICARCV, 2004)

Blind symbol identifiability of orthogonal space-time block codes. - Wing-Kin Ma; P. C. Ching; Timothy N. Davidson; Ba-Ngu Vo (ICASSP (4), 2004)

Tracking multiple speakers using random sets. - Ba-Ngu Vo; Sumeetpal S. Singh; Wing-Kin Ma (ICASSP (2), 2004)

Analog envelop constrained filter with input uncertainty. - Ba-Ngu Vo; Alex S. Leong; Pok Iu (ISCAS (1), 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)

On implementing the blind ML receiver for orthogonal space-time block codes. - Wing-Kin Ma; Ba-Ngu Vo; Timothy N. Davidson; Pak-Chung Ching (ICASSP (3), 2005)

LMI characterization for the convex hull of trigonometric curves and applications. - Hoang Duong Tuan; Tran Thai Son; Ba-Ngu Vo; Truong Q. Nguyen (ICASSP (4), 2005)

Localizing an unknown time-varying number of speakers: a Bayesian random finite set approach. - Ba-Ngu Vo; Wing-Kin Ma; Sumeetpal S. Singh (ICASSP (4), 2005)

Mask constrained beam pattern synthesis for large arrays. - Hung Gia Hoang; Ba-Ngu Vo; Hoang Duong Tuan; Tran Thai Son (ISSPA, 2005)

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 (CDC, 2006)

A Gaussian Mixture PHD Filter for Nonlinear Jump Markov Models. - Ba-Ngu Vo; Ahmed Pasha; Hoang Duong Tuan (CDC, 2006)

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

The GM-PHD Filter Multiple Target Tracker. - Daniel E. Clark; Kusha Panta; Ba-Ngu Vo (FUSION, 2006)

Closed Form PHD Filtering for Linear Jump Markov Models. - Ahmed Pasha; Ba-Ngu Vo; Hoang Duong Tuan; Wing-Kin Ma (FUSION, 2006)

Performance of PHD Based Multi-Target Filters. - Ba-Tuong Vo; Ba-Ngu Vo; Antonio Cantoni (FUSION, 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 (ICASSP (2), 2006)

Jointly Optimal Precoding/Postcoding for Colored MIMO Systems. - Duong-Hung Pham; Hoang Duong Tuan; Ba-Ngu Vo; Truong Q. Nguyen (ICASSP (4), 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)

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)

The Gaussian Mixture Probability Hypothesis Density Filter. - Ba-Ngu Vo; Wing-Kin Ma (IEEE Trans. Signal Process., 2006)

A Bayesian Approach to Target Tracking with Finite-Set-Valued Observations. - Ba-Tuong Vo; Ba-Ngu Vo; Antonio Cantoni (ISIC, 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 (ICASSP (3), 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 001 (Autom., 2007)

Convergence Analysis of the Gaussian Mixture PHD Filter. - Daniel E. Clark; Ba-Ngu Vo (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)

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)

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

PHD Filtering with target amplitude feature. - Daniel E. Clark; Branko Ristic 001; Ba-Ngu Vo (FUSION, 2008)

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

A random set formulation for Bayesian SLAM. - John Mullane; Ba-Ngu Vo; Martin David Adams; Wijerupage Sardha Wijesoma (IROS, 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)

Filters for Spatial Point Processes. - Sumeetpal S. Singh; Ba-Ngu Vo; Adrian J. Baddeley; Sergei A. Zuyev (SIAM J. Control. Optim., 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)

Improved SMC implementation of the PHD filter. - Branko Ristic 001; Daniel E. Clark; Ba-Ngu Vo (FUSION, 2010)

Performance evaluation of multi-target tracking using the OSPA metric. - Branko Ristic 001; Ba-Ngu Vo; Daniel E. Clark (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)

Rao-Blackwellised PHD SLAM. - John Mullane; Ba-Ngu Vo; Martin David Adams (ICRA, 2010)

Sensor control for multi-object state-space estimation using random finite sets. - Branko Ristic 001; Ba-Ngu Vo (Autom., 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)

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)

Nonlinear Bayesian filtering using the unscented linear fractional transformation model. - Syed Ahmed Pasha; Hoang Duong Tuan; Ba-Ngu Vo (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)

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)

Particle Markov Chain Monte Carlo for Bayesian multi-target tracking. - Anh-Tuyet Vu; Ba-Ngu Vo; Robin J. Evans 001 (FUSION, 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)

Visual Tracking of Multiple Targets by Multi-Bernoulli Filtering of Background Subtracted Image Data. - Reza Hoseinnezhad; Ba-Ngu Vo; Truong Nguyen Vu (ICSI (2), 2011)

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

A Note on the Reward Function for PHD Filters with Sensor Control. - Branko Ristic 001; Ba-Ngu Vo; Daniel E. Clark (IEEE Trans. Aerosp. Electron. Syst., 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)

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

A hierarchical approach to the Multi-Vehicle SLAM problem. - Diluka Moratuwage; Ba-Ngu Vo; Danwei Wang (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)

Extending Bayesian RFS SLAM to multi-vehicle SLAM. - Diluka Moratuwage; Ba-Ngu Vo; Danwei Wang; Han Wang 001 (ICARCV, 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)

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)

An overview of space situational awareness. - John A. Kennewell; Ba-Ngu Vo (FUSION, 2013)

An introduction to force and measurement modeling for space object tracking. - Mahendra Mallick; Steve Rubin; Ba-Ngu Vo (FUSION, 2013)

Collaborative Multi-vehicle SLAM with moving object tracking. - Diluka Moratuwage; Ba-Ngu Vo; Danwei Wang (ICRA, 2013)

Keynote speaker II: Multi-object systems and their applications. - Ba-Ngu Vo (ICSIPA, 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 (IPMI, 2013)

Circumventing the Feature Association Problem in SLAM. - Martin Adams; John Mullane; Ba-Ngu Vo (IEEE Intell. Transp. Syst. Mag., 2013)

Introduction to the issue on multitarget tracking. - Mahendra Mallick; Ba-Ngu Vo; Thia Kirubarajan; Sanjeev Arulampalam (IEEE J. Sel. Top. Signal Process., 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)

A random finite set model for data clustering. - Dinh Q. Phung; Ba-Ngu 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)

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

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)

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)

A Particle Marginal Metropolis-Hastings Multi-Target Tracker. - Anh-Tuyet Vu; Ba-Ngu Vo; Robin J. Evans 001 (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)

Average Kullback-Leibler divergence for random finite sets. - Giorgio Battistelli; Luigi Chisci; Claudio Fantacci; Alfonso Farina; Ba-Ngu Vo (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 (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)

Derivation of the PHD filter based on direct Kullback-Leibler divergence minimisation. - Ángel F. García-Fernández; Ba-Ngu Vo (ICCAIS, 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)

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)

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)

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

Forward-Backward Smoothing for Hidden Markov Models of Point Pattern Data. - Nhan Dam; Dinh Q. Phung; Ba-Ngu Vo; Viet Huynh (DSAA, 2017)

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)

A generalized labeled multi-Bernoulli tracker for time lapse cell migration. - Du Yong Kim; Ba-Ngu Vo; Aurelne Thian; Yu Suk Choi (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)

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)

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)

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 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)

Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Objects. - Hoa Van Nguyen; Hamid Rezatofighi; Ba-Ngu Vo; Damith Chinthana Ranasinghe (AAAI, 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)

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)

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)

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)

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)

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)