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11/29/2022
Linear Complexity Gibbs Sampling for Generalized Labeled Multi-Bernoulli Filtering
Generalized Labeled Multi-Bernoulli (GLMB) densities arise in a host of ...
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03/09/2022
Multi-Objective Multi-Agent Planning for Discovering and Tracking Unknown and Varying Number of Mobile Objects
We consider the online planning problem for a team of agents to discover...
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08/08/2020
How Trustworthy are the Existing Performance Evaluations for Basic Vision Tasks?
Performance evaluation is indispensable to the advancement of machine vi...
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01/13/2020
A Bayesian 3D Multi-view Multi-object Tracking Filter
This paper proposes an online multi-camera multi-object tracker that onl...
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05/25/2018
A Multi-Scan Labeled Random Finite Set Model for Multi-object State Estimation
State space models in which the system state is a finite set--called the...
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04/18/2018
A Solution for Large-scale Multi-object Tracking
A large-scale multi-object tracker based on the generalised labeled mult...
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03/07/2017
Model-Based Multiple Instance Learning
While Multiple Instance (MI) data are point patterns -- sets or multi-se...
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02/08/2017
Clustering For Point Pattern Data
Clustering is one of the most common unsupervised learning tasks in mach...
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01/30/2017
Model-based Classification and Novelty Detection For Point Pattern Data
Point patterns are sets or multi-sets of unordered elements that can be ...
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11/18/2016
Online Visual Multi-Object Tracking via Labeled Random Finite Set Filtering
This paper proposes an online visual multi-object tracking algorithm usi...
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07/23/2015