Ba-Tuong Vo

ORCID

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 53

Top Venues

IEEE Trans. Signal Process.

CoRR

FUSION

ICCAIS

Publications

Tran Thien Dat Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Ba-Tuong Vo, Silvio Savarese, Ian D. Reid
How Trustworthy are Performance Evaluations for Basic Vision Tasks? IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Changbeom Shim, Ba-Tuong Vo, Ba-Ngu Vo, Jonah Ong, Diluka Moratuwage
Linear Complexity Gibbs Sampling for Generalized Labeled Multi-Bernoulli Filtering. IEEE Trans. Signal Process. 71 (2023)
Hoa Van Nguyen, Ba-Ngu Vo, Ba-Tuong Vo, Hamid Rezatofighi, Damith C. Ranasinghe
Multi-Objective Multi-Agent Planning for Discovering and Tracking Unknown and Varying Number of Mobile Objects. CoRR (2022)
Jonah Ong, Ba-Tuong Vo, Ba-Ngu Vo, Du Yong Kim, Sven Nordholm
A Bayesian Filter for Multi-View 3D Multi-Object Tracking With Occlusion Handling. IEEE Trans. Pattern Anal. Mach. Intell. 44 (5) (2022)
Diluka Moratuwage, Ba-Ngu Vo, Ba-Tuong Vo, Changbeom Shim
Multi-Scan Multi-Sensor Multi-Object State Estimation. IEEE Trans. Signal Process. 70 (2022)
Yuthika Punchihewa, Ba-Tuong Vo, Ba-Ngu Vo, Amanda Bessell, Sanjeev Arulampalam, Jessica Irons, Samuel J. Davey
Target Motion Analysis via Hard and Soft Data Fusion. ICCAIS (2022)
Jonah Ong, Ba-Tuong Vo, Sven Nordholm, Ba-Ngu Vo, Diluka Moratuwage, Changbeom Shim
Audio-Visual Based Online Multi-Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Jonah Ong, Ba-Tuong Vo, Sven Nordholm
Blind Separation for Multiple Moving Sources With Labeled Random Finite Sets. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Tran Thien Dat Nguyen, Ba-Ngu Vo, Ba-Tuong Vo, Du Yong Kim, Yu Suk Choi
Tracking Cells and Their Lineages Via Labeled Random Finite Sets. IEEE Trans. Signal Process. 69 (2021)
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo
A Solution for Large-Scale Multi-Object Tracking. IEEE Trans. Signal Process. 68 (2020)
Jonah Ong, Ba-Tuong Vo, Ba-Ngu Vo, Du Yong Kim, Sven Nordholm
A Bayesian 3D Multi-view Multi-object Tracking Filter. CoRR (2020)
Hamid Rezatofighi, Tran Thien Dat Nguyen, Ba-Ngu Vo, Ba-Tuong Vo, Silvio Savarese, Ian D. Reid
How Trustworthy are the Existing Performance Evaluations for Basic Vision Tasks? CoRR (2020)
Du Yong Kim, Ba-Ngu Vo, Ba-Tuong Vo, Moongu Jeon
A labeled random finite set online multi-object tracker for video data. Pattern Recognit. 90 (2019)
Ba-Ngu Vo, Ba-Tuong Vo
A Multi-Scan Labeled Random Finite Set Model for Multi-Object State Estimation. IEEE Trans. Signal Process. 67 (19) (2019)
Ba-Ngu Vo, Ba-Tuong Vo, Michael Beard
Multi-Sensor Multi-Object Tracking With the Generalized Labeled Multi-Bernoulli Filter. IEEE Trans. Signal Process. 67 (23) (2019)
Claudio Fantacci, Ba-Ngu Vo, Ba-Tuong Vo, Giorgio Battistelli, Luigi Chisci
Robust Fusion for Multisensor Multiobject Tracking. IEEE Signal Process. Lett. 25 (5) (2018)
Ba-Ngu Vo, Nhan Dam, Dinh Q. Phung, Quang N. Tran, Ba-Tuong Vo
Model-based learning for point pattern data. Pattern Recognit. 84 (2018)
Daniel S. Bryant, Ba-Tuong Vo, Ba-Ngu Vo, Brandon A. Jones
A Generalized Labeled Multi-Bernoulli Filter With Object Spawning. IEEE Trans. Signal Process. 66 (23) (2018)
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo
Performance Evaluation for Large-Scale Multi-Target Tracking Algorithms. FUSION (2018)
Ba-Tuong Vo, Ba-Ngu Vo
Multi-Scan Generalized Labeled Multi-Bernoulli Filter. FUSION (2018)
Yuthika Gardiyawasam Punchihewa, Ba-Tuong Vo, Ba-Ngu Vo, Du Yong Kim
Multiple Object Tracking in Unknown Backgrounds With Labeled Random Finite Sets. IEEE Trans. Signal Process. 66 (11) (2018)
Ba-Ngu Vo, Dinh Q. Phung, Quang N. Tran, Ba-Tuong Vo
Model-Based Multiple Instance Learning. CoRR (2017)
Du Yong Kim, Ba-Tuong Vo, Sven Nordholm
Multiple speaker tracking with the GLMB filter. ICCAIS (2017)
Quang N. Tran, Ba-Ngu Vo, Dinh Q. Phung, Ba-Tuong Vo
Clustering For Point Pattern Data. CoRR (2017)
Ba-Ngu Vo, Ba-Tuong Vo, Hung Gia Hoang
An Efficient Implementation of the Generalized Labeled Multi-Bernoulli Filter. IEEE Trans. Signal Process. 65 (8) (2017)
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam
Void Probabilities and Cauchy-Schwarz Divergence for Generalized Labeled Multi-Bernoulli Models. IEEE Trans. Signal Process. 65 (19) (2017)
Ba-Ngu Vo, Quang N. Tran, Dinh Q. Phung, Ba-Tuong Vo
Model-based Classification and Novelty Detection For Point Pattern Data. CoRR (2017)
Ba-Ngu Vo, Ba-Tuong Vo
An implementation of the multi-sensor generalized labeled multi-Bernoulli filter via Gibbs sampling. FUSION (2017)
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo
: Using the OSPA metric to evaluate multi-target tracking performance. ICCAIS (2017)
Daniel S. Bryant, Ba-Tuong Vo, Ba-Ngu Vo, Brandon A. Jones
A labeled random finite set spawning model. ICCAIS (2017)
Quang N. Tran, Ba-Ngu Vo, Dinh Q. Phung, Ba-Tuong Vo, Nguyen Cong Thuong
Multiple Instance Learning with the Optimal Sub-Pattern Assignment Metric. CoRR (2017)
Shoufeng Lin, Ba-Tuong Vo, Sven E. Nordholm
Measurement driven birth model for the generalized labeled multi-Bernoulli filter. ICCAIS (2016)
Michael Beard, Stephan Reuter, Karl Granström, Ba-Tuong Vo, Ba-Ngu Vo, Alexander Scheel
Multiple Extended Target Tracking With Labeled Random Finite Sets. IEEE Trans. Signal Process. 64 (7) (2016)
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo
Generalised labelled multi-Bernoulli forward-backward smoothing. FUSION (2016)
Du Yong Kim, Ba-Ngu Vo, Ba-Tuong Vo
Multi-object particle filter revisited. ICCAIS (2016)
Du Yong Kim, Ba-Ngu Vo, Ba-Tuong Vo
Online Visual Multi-Object Tracking via Labeled Random Finite Set Filtering. CoRR (2016)
Ba-Ngu Vo, Nhat-Quang Tran, Dinh Q. Phung, Ba-Tuong Vo
Model-based classification and novelty detection for point pattern data. ICPR (2016)
Nhat-Quang Tran, Ba-Ngu Vo, Dinh Q. Phung, Ba-Tuong Vo
Clustering for point pattern data. ICPR (2016)
Nicholas Chong, Sven Nordholm, Ba-Tuong Vo, Iain Murray
Tracking and separation of multiple moving speech sources via cardinality balanced multi-target multi Bernoulli (CBMeMBer) filter and time frequency masking. ICCAIS (2016)
Yuthika Punchihewa, Ba-Ngu Vo, Ba-Tuong Vo
A Generalized Labeled Multi-Bernoulli Filter for Maneuvering Targets. CoRR (2016)
Yuthika Punchihewa, Ba-Ngu Vo, Ba-Tuong Vo
A Generalized Labeled Multi-Bernoulli filter for maneuvering targets. FUSION (2016)
Stephan Reuter, Alexander Scheel, Michael Beard, Karl Granström, Ba-Tuong Vo, Ba-Ngu Vo, Klaus Dietmayer
Environment Perception for Companion Systems. ISCT (2015)
Seyed Hamid Rezatofighi, Stephen Gould, Ba-Tuong Vo, Ba-Ngu Vo, Katarina Mele, Richard I. Hartley
Multi-Target Tracking with Time-Varying Clutter Rate and Detection Profile: Application to Time-lapse Cell Microscopy Sequences. CoRR (2015)
Brandon A. Jones, Daniel S. Bryant, Ba-Tuong Vo, Ba-Ngu Vo
Challenges of multi-target tracking for space situational awareness. FUSION (2015)
Claudio Fantacci, Ba-Ngu Vo, Ba-Tuong Vo, Giorgio Battistelli, Luigi Chisci
Consensus Labeled Random Finite Set Filtering for Distributed Multi-Object Tracking. CoRR (2015)
Francesco Papi, Ba-Ngu Vo, Ba-Tuong Vo, Claudio Fantacci, Michael Beard
Generalized Labeled Multi-Bernoulli Approximation of Multi-Object Densities. IEEE Trans. Signal Process. 63 (20) (2015)
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo
Bayesian Multi-Target Tracking With Merged Measurements Using Labelled Random Finite Sets. IEEE Trans. Signal Process. 63 (6) (2015)
Seyed Hamid Rezatofighi, Stephen Gould, Ba-Tuong Vo, Ba-Ngu Vo, Katarina Mele, Richard I. Hartley
Multi-Target Tracking With Time-Varying Clutter Rate and Detection Profile: Application to Time-Lapse Cell Microscopy Sequences. IEEE Trans. Medical Imaging 34 (6) (2015)
Michael Beard, Stephan Reuter, Karl Granström, Ba-Tuong Vo, Ba-Ngu Vo, Alexander Scheel
A generalised labelled multi-Bernoulli filter for extended multi-target tracking. FUSION (2015)
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam
Sensor control for multi-target tracking using Cauchy-Schwarz divergence. FUSION (2015)
Hung Gia Hoang, Ba-Tuong Vo, Ba-Ngu Vo
A Generalized Labeled Multi-Bernoulli Filter Implementation using Gibbs Sampling. CoRR (2015)
Hung Gia Hoang, Ba-Ngu Vo, Ba-Tuong Vo, Ronald P. S. Mahler
The Cauchy-Schwarz Divergence for Poisson Point Processes. IEEE Trans. Inf. Theory 61 (8) (2015)
Hung Gia Hoang, Ba-Tuong Vo, Ba-Ngu Vo
A fast implementation of the generalized labeled multi-Bernoulli filter with joint prediction and update. FUSION (2015)
Ba-Ngu Vo, Ba-Tuong Vo
A stochastic geometric approach to sensor array processing. SSP (2014)
Stephan Reuter, Ba-Tuong Vo, Ba-Ngu Vo, Klaus Dietmayer
The Labeled Multi-Bernoulli Filter. IEEE Trans. Signal Process. 62 (12) (2014)
Shanhung Wong, Ba-Tuong Vo, Francesco Papi
Bernoulli Forward-Backward Smoothing for Track-Before-Detect. IEEE Signal Process. Lett. 21 (6) (2014)
Hung Gia Hoang, Ba-Ngu Vo, Ba-Tuong Vo, Ronald P. S. Mahler
The Cauchy-Schwarz divergence for poisson point processes. SSP (2014)
Hung Gia Hoang, Ba-Tuong Vo
Sensor management for multi-target tracking via multi-Bernoulli filtering. Autom. 50 (4) (2014)
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo
Multi-target tracking with merged measurements using labelled random finite sets. FUSION (2014)
Nicholas Chong, Shanhung Wong, Ba-Tuong Vo, Sven Nordholm, Iain Murray
Multiple moving speaker tracking via degenerate unmixing estimation technique and Cardinality Balanced Multi-target Multi-Bernoulli Filter (DUET-CBMeMBer). ISSNIP (2014)
Stephan Reuter, Ba-Tuong Vo, Ba-Ngu Vo, Klaus C. J. Dietmayer
Multi-object tracking using labeled multi-Bernoulli random finite sets. FUSION (2014)
Ba-Ngu Vo, Ba-Tuong Vo, Dinh Q. Phung
Labeled Random Finite Sets and the Bayes Multi-Target Tracking Filter. IEEE Trans. Signal Process. 62 (24) (2014)
Ángel F. García-Fernández, Ba-Ngu Vo, Ba-Tuong Vo
MCMC-based posterior independence approximation for RFS multitarget particle filters. FUSION (2014)
Hung Gia Hoang, Ba-Ngu Vo, Ba-Tuong Vo, Ronald P. S. Mahler
The Cauchy-Schwarz divergence for Poisson point processes. CoRR (2013)
Branko Ristic, Ba-Tuong Vo, Ba-Ngu Vo, Alfonso Farina
A Tutorial on Bernoulli Filters: Theory, Implementation and Applications. IEEE Trans. Signal Process. 61 (13) (2013)
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam
A Partially Uniform Target Birth Model for Gaussian Mixture PHD/CPHD Filtering. IEEE Trans. Aerosp. Electron. Syst. 49 (4) (2013)
Hung Gia Hoang, Ba-Tuong Vo
Sensor management for multi-target tracking via Multi-Bernoulli filtering. CoRR (2013)
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo
Multitarget Filtering With Unknown Clutter Density Using a Bootstrap GMCPHD Filter. IEEE Signal Process. Lett. 20 (4) (2013)
Amirali Khodadadian Gostar, Reza Hoseinnezhad, Alireza Bab-Hadiashar, Ba-Tuong Vo
Control of sensor with unknown clutter and detection profile using Multi-Bernoulli filter. FUSION (2013)
Ba-Tuong Vo, Ba-Ngu Vo
Labeled Random Finite Sets and Multi-Object Conjugate Priors. IEEE Trans. Signal Process. 61 (13) (2013)
Stephan Reuter, Ba-Tuong Vo, Benjamin Wilking, Daniel Alexander Meissner, Klaus Dietmayer
Divergence detectors for the δ-generalized labeled multi-Bernoulli filter. SDF (2013)
Reza Hoseinnezhad, Ba-Ngu Vo, Ba-Tuong Vo
Visual Tracking in Background Subtracted Image Sequences via Multi-Bernoulli Filtering. IEEE Trans. Signal Process. 61 (2) (2013)
Ba-Tuong Vo, Ba-Ngu Vo, Reza Hoseinnezhad, Ronald P. S. Mahler
Robust Multi-Bernoulli Filtering. IEEE J. Sel. Top. Signal Process. 7 (3) (2013)
Ba-Tuong Vo
On Bayesian filtering for multi-object systems. CISS (2012)
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam
Gaussian mixture PHD and CPHD filtering with partially uniform target birth. FUSION (2012)
Ba-Ngu Vo, Ba-Tuong Vo, Nam-Trung Pham, David Suter
Reply to "Comments on 'Joint Detection and Estimation of Multiple Objects from Image Observations'". IEEE Trans. Signal Process. 60 (3) (2012)
Ba-Tuong Vo, Ba-Ngu Vo
The para-normal Bayes multi-target filter and the spooky effect. FUSION (2012)
Reza Hoseinnezhad, Ba-Ngu Vo, Ba-Tuong Vo, David Suter
Visual tracking of numerous targets via multi-Bernoulli filtering of image data. Pattern Recognit. 45 (10) (2012)
Branko Ristic, Daniel E. Clark, Ba-Ngu Vo, Ba-Tuong Vo
Adaptive Target Birth Intensity for PHD and CPHD Filters. IEEE Trans. Aerosp. Electron. Syst. 48 (2) (2012)
Ba-Ngu Vo, Ba-Tuong Vo, Ronald P. S. Mahler
Closed-Form Solutions to Forward-Backward Smoothing. IEEE Trans. Signal Process. 60 (1) (2012)
Ba-Tuong Vo, Chong Meng Samson See, Ning Ma, Wee Teck Ng
Multi-Sensor Joint Detection and Tracking with the Bernoulli Filter. IEEE Trans. Aerosp. Electron. Syst. 48 (2) (2012)
Shanhung Wong, Ba-Tuong Vo, Ba-Ngu Vo, Reza Hoseinnezhad
Multi-Bernoulli based track-before-detect with road constraints. FUSION (2012)
Ronald P. S. Mahler, Ba-Tuong Vo, Ba-Ngu Vo
Forward-Backward Probability Hypothesis Density Smoothing. IEEE Trans. Aerosp. Electron. Syst. 48 (1) (2012)
Branko Ristic, Ba-Ngu Vo, Daniel E. Clark, Ba-Tuong Vo
A Metric for Performance Evaluation of Multi-Target Tracking Algorithms. IEEE Trans. Signal Process. 59 (7) (2011)
Ba-Tuong Vo, Ba-Ngu Vo, Reza Hoseinnezhad, Ronald P. S. Mahler
Multi-Bernoulli filtering with unknown clutter intensity and sensor field-of-view. CISS (2011)
John Mullane, Ba-Ngu Vo, Martin Adams, Ba-Tuong Vo
Mobile Robotics in a Random Finite Set Framework. ICSI (2) (2011)
Ba-Tuong Vo, Daniel E. Clark, Ba-Ngu Vo, Branko Ristic
Bernoulli Forward-Backward Smoothing for Joint Target Detection and Tracking. IEEE Trans. Signal Process. 59 (9) (2011)
Reza Hoseinnezhad, Ba-Ngu Vo, Ba-Tuong Vo, David Suter
Bayesian integration of audio and visual information for multi-target tracking using a CB-member filter. ICASSP (2011)
Ronald P. S. Mahler, Ba-Tuong Vo, Ba-Ngu Vo
CPHD filtering with unknown clutter rate and detection profile. FUSION (2011)
Ronald P. S. Mahler, Ba-Tuong Vo, Ba-Ngu Vo
CPHD Filtering With Unknown Clutter Rate and Detection Profile. IEEE Trans. Signal Process. 59 (8) (2011)
John Mullane, Ba-Ngu Vo, Martin David Adams, Ba-Tuong Vo
A Random-Finite-Set Approach to Bayesian SLAM. IEEE Trans. Robotics 27 (2) (2011)
Ba-Ngu Vo, Ba-Tuong Vo, Nam-Trung Pham, David Suter
Joint detection and estimation of multiple objects from image observations. IEEE Trans. Signal Process. 58 (10) (2010)
Daniel E. Clark, Branko Ristic, Ba-Ngu Vo, Ba-Tuong Vo
Bayesian multi-object filtering with amplitude feature likelihood for unknown object SNR. IEEE Trans. Signal Process. 58 (1) (2010)
Reza Hoseinnezhad, Ba-Ngu Vo, David Suter, Ba-Tuong Vo
Multi-object filtering from image sequence without detection. ICASSP (2010)
Ronald P. S. Mahler, Ba-Ngu Vo, Ba-Tuong Vo
The forward-backward Probability Hypothesis Density smoother. FUSION (2010)
Ba-Ngu Vo, Ba-Tuong Vo, Ronald P. S. Mahler
A closed form solution to the Probability Hypothesis Density Smoother. FUSION (2010)
Ba-Ngu Vo, Ba-Tuong Vo, Nam-Trung Pham, David Suter
Bayesian multi-object estimation from image observations. FUSION (2009)
Ba-Tuong Vo, Ba-Ngu Vo, Antonio Cantoni
The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations. IEEE Trans. Signal Process. 57 (2) (2009)
Daniel E. Clark, Ba-Tuong Vo, Ba-Ngu Vo
Forward-backward sequential Monte Carlo smoothing for joint target detection and tracking. FUSION (2009)
Dominic Schuhmacher, Ba-Tuong Vo, Ba-Ngu Vo
On performance evaluation of multi-object filters. FUSION (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ba-Tuong Vo