Ba-Ngu Vo

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Antonio CantoniWinthrop Professor University of Western AustraliaVerified email at uwa.edu.au
Sumeetpal Sidhu SinghHead of the Signal Processing and Communications Group, Cambridge University Eng. Dept.Verified email at cam.ac.uk
Daniel ClarkInstitut Polytechnique de Paris, Telecom SudParis, Institut Mines TelecomVerified email at telecom-sudparis.eu
Wing-Kin MaDepartment of Electronic Engineering, The Chinese University of Hong KongVerified email at ieee.org
Martin AdamsProfessor of Electrical Engineering, Universidad de ChileVerified email at ing.uchile.cl
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk
Branko RisticRMIT UniversityVerified email at rmit.edu.au
Mahendra MallickIndependent Consultant, USAVerified email at ieee.org
Reza HoseinnezhadRMIT UniversityVerified email at rmit.edu.au
Vikram KrishnamurthyProfessor, Cornell UniversityVerified email at cornell.edu
Kusha PantaIP AustraliaVerified email at ipaustralia.gov.au
Du Yong KimLecturer (Vice-Chancellor's Research Fellow), RMIT UniversityVerified email at rmit.edu.au
David SuterProf. Edith Cowan UniversityVerified email at ecu.edu.au
Dinh PhungProfessor, Monash UniversityVerified email at monash.edu
Kok Lay TeoProfessor, Sunway University; John Curtin Distinguished Emeritus Professor, Curtin UniversityVerified email at sunway.edu.my
Stephan ReuterSensor Fusion for Urban Automated Driving, Robert Bosch GmbHVerified email at stephanreuter.de
Hung Gia HoangLecturer, VNU-UET, Vietnam National University, HanoiVerified email at vnu.edu.vn
Sanjeev ArulampalamDefence Science and TechnologyVerified email at ieee.org
Claudio FantacciRobotics Research Engineer @ DeepMindVerified email at google.com
Hamid RezatofighiAssistant Professor, Monash University, Melbourne, AustraliaVerified email at monash.edu

Ba-Ngu Vo

Curtin University

Verified email at curtin.edu.au - Homepage

statistical signal processing stochastic geometry random sets point process target tracking


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The Gaussian mixture probability hypothesis density filter BN Vo, WK Ma IEEE Transactions on signal processing 54 (11), 4091-4104, 2006	2164	2006
A consistent metric for performance evaluation of multi-object filters D Schuhmacher, BT Vo, BN Vo IEEE transactions on signal processing 56 (8), 3447-3457, 2008	1935	2008
Sequential Monte Carlo methods for multitarget filtering with random finite sets BN Vo, S Singh, A Doucet IEEE Transactions on Aerospace and electronic systems 41 (4), 1224-1245, 2005	1527	2005
Analytic implementations of the cardinalized probability hypothesis density filter BT Vo, BN Vo, A Cantoni IEEE transactions on signal processing 55 (7), 3553-3567, 2007	888	2007
The cardinality balanced multi-target multi-Bernoulli filter and its implementations BT Vo, BN Vo, A Cantoni IEEE Transactions on Signal Processing 57 (2), 409-423, 2009	832	2009
Labeled random finite sets and multi-object conjugate priors BT Vo, BN Vo IEEE Transactions on Signal Processing 61 (13), 3460-3475, 2013	748	2013
The labeled multi-Bernoulli filter S Reuter, BT Vo, BN Vo, K Dietmayer IEEE Transactions on Signal Processing 62 (12), 3246-3260, 2014	626	2014
Labeled random finite sets and the Bayes multi-target tracking filter BN Vo, BT Vo, D Phung IEEE Trans. Signal Processing, 62 (24), 6554-6567, 2014., 2014	614	2014
Sequential Monte Carlo implementation of the PHD filter for multi-target tracking BN Vo, S Singh, A Doucet Proc. Int’l Conf. on Information Fusion, 792-799, 2003	441	2003
Joint detection and estimation of multiple objects from image observations BN Vo, BT Vo, NT Pham, D Suter IEEE Transactions on Signal Processing 58 (10), 5129-5141, 2010	382	2010
A metric for performance evaluation of multi-target tracking algorithms B Ristic, BN Vo, D Clark, BT Vo IEEE Transactions on Signal Processing 59 (7), 3452-3457, 2011	350	2011
Stem cell migration and mechanotransduction on linear stiffness gradient hydrogels WJ Hadden, JL Young, AW Holle, ML McFetridge, DY Kim, P Wijesinghe, ... Proceedings of the National Academy of Sciences 114 (22), 5647-5652, 2017	325	2017
Adaptive target birth intensity for PHD and CPHD filters B Ristic, D Clark, BN Vo, BT Vo IEEE Transactions on Aerospace and Electronic Systems 48 (2), 1656-1668, 2012	320	2012
A random-finite-set approach to Bayesian SLAM J Mullane, BN Vo, MD Adams, BT Vo Robotics, IEEE Transactions on 27 (2), 268-282, 2011	307	2011
An efficient implementation of the generalized labeled multi-Bernoulli filter BN Vo, BT Vo, HG Hoang IEEE Transactions on Signal Processing 65 (8), 1975-1987, 2017	296	2017
Data association and track management for the Gaussian mixture probability hypothesis density filter K Panta, DE Clark, BN Vo IEEE transactions on aerospace and electronic systems 45 (3), 1003-1016, 2009	293	2009
A Tutorial on Bernoulli Filters: Theory, Implementation and Applications B Ristic, BT Vo, BN Vo, A Farina IEEE, 2013	276	2013
Tracking an unknown time-varying number of speakers using TDOA measurements: A random finite set approach WK Ma, BN Vo, SS Singh, A Baddeley IEEE Transactions on Signal Processing 54 (9), 3291-3304, 2006	270	2006
CPHD Filtering With Unknown Clutter Rate and Detection Profile R Mahler, BT Vo, BN Vo Signal Processing, IEEE Transactions on 59 (8), 3497-3513, 2011	242	2011
Multitarget Tracking BN Vo, M Mallick, Y Bar-Shalom, S Coraluppi, R Osborne III, R Mahler, ... Wiley Encyclopedia of Electrical and Electronic Engineering, 2015	227	2015

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