FUSION2023: 26TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION2023)

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Acharya, Aalok	Ghost Track Detection in Multitarget Tracking using LSTM Network
Ahmad, Bashar	Flexible Multi-Target Tracking with Track Management Using Dirichlet and Gaussian Processes
Ahn, Myung Kil	Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework
Ajgl, Jiří	Approximate Bayesian State Estimation for Active Fault Diagnosis of Large-Scale Systems Approximate fusion of probability density functions using Gaussian copulas
Alqaderi, Hosam	Automatic Identification of Coordinated Targets
Alvheim, Hanne-Grete	WakeIPDA: Target tracking with existence modeling in the presence of wakes
Amigo, Daniel	UAV airframe classification based on trajectory data in UTM collaborative environments Avoiding quantification effect in the vertical trajectory reconstruction filtering system
Anderson, Sean	Holistic Self-Distillation with the Squeeze and Excitation Network for Fine-grained Plant Pathology Classification
Arulampalam, Sanjeev	Joint Estimation of Vessel Parameter-Motion and Sea State
Aufrere, Romuald	Dual occupancy and knowledge maps management for optimal traversability risk analysis
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Baerveldt, Martin	Extended target PMBM tracker with a Gaussian Process target model on LiDAR data
Bakos, Jason D.	Optimal Sampling Methodologies for High-rate Structural Twinning
Balachandran, Aranee	Ghost Track Detection in Multitarget Tracking using LSTM Network
Bale, Brandon	Lossless Processing and the Limits of Trackability in MHT
Bar-Shalom, Yaakov	Interframe Association of YOLO Bounding Boxes in the Presence of Camera Panning and Zooming Unbiased Electro-optical/Infrared Camera Angular Measurements and their Cross-Correlated Errors
Bar-Shalom, Yaakov	Full State Information Transfer Across Adjacent Cameras in a Network Using Gauss Helmert Filters
Barnes, Laura E.	Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models
Barr, Jordi	Stone Soup: No Longer Just an Appetiser
Battistelli, Giorgio	Joint bias and target state estimation based on Doppler sensors Joint Emitter Detection and Tracking Based on the Bernoulli Filter L:OMEM - A fast filter to track maneuvering extended objects
Baum, Marcus	Adaptive Kalman Filter Tracking for Instantaneous Aircraft Flutter Monitoring Multitarget-Multidetection Tracking Using the Kernel SME Filter Improved Extended Object Tracking with Efficient Particle-based Orientation Estimation Evaluation Scores for Elliptic Extended Object Tracking Considering Diverse Object Sizes Sampling-based Track-to-Track Association
Baur, Tim	Shape Tracking Using Fourier-Chebyshev Double Series for 3D Distance Measurements
Ben Rabah, Mohamed	Dual occupancy and knowledge maps management for optimal traversability risk analysis
Ben-Horin, Yochai	Periodic Fisher-Scoring Algorithm with Applications for DOA Estimation in Seismic Arrays
Berntorp, Karl	Constrained Gaussian-Process State-Space Models for Online Magnetic-Field Estimation Bayesian Sensor Fusion for Joint Vehicle Localization and Road Mapping Using Onboard Sensors
Bischoff, Bastian	Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks
Bjerkehagen, Daniel	Automatic Estimation of Ship-Mounted Cameras' Orientation by Hand-Eye Calibration
Blasch, Erik	Uncertain about ChatGPT: enabling the uncertainty evaluation of large language models Qualitative Models of Data Generation Processes: Facilitating Data-Intensive AI Solutions Optimal Sampling Methodologies for High-rate Structural Twinning URREF Risk analysis towards Data Fusion Certification Enhance Public Safety Surveillance in Smart Cities by Fusing Optical and Thermal Cameras Scheduling Condition-based Maintenance: An Explainable Deep Reinforcement Learning Approach via Reward Decomposition
Blume, Holger	Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks
Bolic, Miodrag	DEMDE: Decision Making Design based on Bayesian Network for Personalized Monitoring System
Bondarchuk, Jennifer	Deterministic Multi-sensor Measurement-adaptive Birth using Labeled Random Finite Sets
Bosse, Jonathan	GLRT Particle Filter for Non-Line of Sight Moving Target Tracking via Phased Array Radar
Bouaynaya, Nidhal	Out-of-distribution Object Detection through Bayesian Uncertainty Estimation
Braca, Paolo	Model-based Deep Learning for Maneuvering Target Tracking
Brandenburger, André	Learning IMM Filter Parameters from Measurements using Gradient Descent
Brandmeier, Thomas	Multimodal Early Fusion of Automotive Sensors based on Autoencoder Network: An anchor-free approach for Vehicle 3D Detection
Brandner, Marek	Design of Efficient Point-Mass Filter with Terrain Aided Navigation Illustration
Braun, David	Reinforcement Learning based Guidance Policy Optimization for a Swarm of Cooperative Sensor Platforms Tracking a Single Target
Brekke, Edmund Førland	Extended target PMBM tracker with a Gaussian Process target model on LiDAR data Belief propagation for marginal probabilities in multiple hypothesis tracking Multiscan Shape Estimation for Extended Object Tracking WakeIPDA: Target tracking with existence modeling in the presence of wakes The linear multitarget IPDA and its application on only a subset of the tracks. Automatic Estimation of Ship-Mounted Cameras' Orientation by Hand-Eye Calibration Maritime radar odometry inspired by visual odometry Variations of Joint Integrated Data Association With Radar and Target-Provided Measurements
Brink, Kevin	Nonlinearity-Aware Partial-Update Schmidt Kalman Filter
Britto Júnior, Alceu	Multimodal Early Fusion of Automotive Sensors based on Autoencoder Network: An anchor-free approach for Vehicle 3D Detection
Bryne, Torleiv	Maritime radar odometry inspired by visual odometry
Bucci, Donald	On Gibbs Sampling Architecture for Labeled Random Finite Sets Multi-Object Tracking Deterministic Multi-sensor Measurement-adaptive Birth using Labeled Random Finite Sets
Buchholz, Michael	Online Performance Assessment of Multi-Sensor Kalman Filters Based on Subjective Logic The Product Multi-Sensor Labeled Multi-Bernoulli Filter The Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter
Böswald, Marc	Adaptive Kalman Filter Tracking for Instantaneous Aircraft Flutter Monitoring
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Calinescu, Radu	Out-of-distribution Object Detection through Bayesian Uncertainty Estimation
Carniglia, Peter	Stone Soup: No Longer Just an Appetiser
Carvalho, José	Classification of Warship Formations Using a Kohonen Network
Cerutti, Federico	Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data
Chang, Kc	Scheduling Condition-based Maintenance: An Explainable Deep Reinforcement Learning Approach via Reward Decomposition
Chapuis, Roland	Dual occupancy and knowledge maps management for optimal traversability risk analysis
Charlish, Alexander	Non-myopic Sensor Path Planning for Emitter Localization with a UAV Learning IMM Filter Parameters from Measurements using Gradient Descent
Chen, Genshe	Scheduling Condition-based Maintenance: An Explainable Deep Reinforcement Learning Approach via Reward Decomposition
Chen, Haifeng	Unsupervised anomaly detection under a multiple modeling strategy via model set optimization through transfer learning
Chen, Hua-Mei	Scheduling Condition-based Maintenance: An Explainable Deep Reinforcement Learning Approach via Reward Decomposition
Chen, Wen-Hua	Dual Control Inspired Active Sensing for Bearing-Only Target Tracking
Chen, Yu	Enhance Public Safety Surveillance in Smart Cities by Fusing Optical and Thermal Cameras
Chen, Yuncong	Unsupervised anomaly detection under a multiple modeling strategy via model set optimization through transfer learning
Cheng, Wei	Unsupervised anomaly detection under a multiple modeling strategy via model set optimization through transfer learning
Chisci, Luigi	Joint bias and target state estimation based on Doppler sensors Joint Emitter Detection and Tracking Based on the Bernoulli Filter L:OMEM - A fast filter to track maneuvering extended objects
Cho, Jin-Hee	Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework
Choi, Dongjin	Co-embedding Multi-type Data for Information Fusion and Visual Analytics
Choi, Minseop	On the Use of Real-Time Multi-Object Detection and Classification for Automated Assessment of Operator Visual Attention Allocation
Chomal, Sunil	Ghost Track Detection in Multitarget Tracking using LSTM Network
Chonavel, Thierry	GLRT Particle Filter for Non-Line of Sight Moving Target Tracking via Phased Array Radar
Chowdhary, Mahesh	On-Sensor Online Learning and Classification Under 8 KB Memory
Chowdhury, Mashrur	Hybrid Quantum-Classical Neural Network for Incident Detection
Clark, Daniel	A multi-object Kalman filter for Gaussian random fields with point process measurements Stochastic flows – a primer on early multi-object filtering work with point processes
Comert, Ayse Turhan	Hybrid Quantum-Classical Neural Network for Incident Detection
Comert, Gurcan	Hybrid Quantum-Classical Neural Network for Incident Detection
Cominelli, Marco	Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data
Constable, Yolène	Comparison of Classification Techniques for Extremism Detection in French Social Media
Coraluppi, Stefano	Advances in Multi-Target Tracking Performance Evaluation
Coraluppi, Stefano	Lossless Processing and the Limits of Trackability in MHT
Costa, Paulo	Uncertain about ChatGPT: enabling the uncertainty evaluation of large language models Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework Generic Multimodal Gradient-based Meta Learner Framework URREF Risk analysis towards Data Fusion Certification
Cox, Jeronimo	Motion Tracking with Coupled Magnetometers and Dynamic IMU Measurement Fusion in Nonuniform Magnetic Fields
Craft, Kyle	Stein Variational Gradient Descent for Non-Bayesian Particle Flow
Crouse, David	Mismatched Filter Design Applied to 1D and 2D Sinusoidal Models
D
D'Ortenzio, Alessandro	Adaptive Mixture Model Reduction based on the Composite Transportation Dissimilarity
Dambreville, Frédéric	Association of labellized tracks with low reliability covariance information: a track graph partitioning approach Cross-Entropy and Relative Entropy of Basic Belief Assignments
Dang, Huong	Scheduling Condition-based Maintenance: An Explainable Deep Reinforcement Learning Approach via Reward Decomposition
Daniel, Ondrej	Fault Detection in Resilient Time Provision
Davenport, Ellen	Towards Terrain-Based Navigation Using Side-scan Sonar
David, Rares	MobileFuse: Multimodal Image Fusion at the Edge
de Freitas, Allan	Uncertain about ChatGPT: enabling the uncertainty evaluation of large language models
De Iuliis, Vittorio	Adaptive Mixture Model Reduction based on the Composite Transportation Dissimilarity
de Oliveira, Juliane Regina	Enhancing Disaster Management of Guyed Towers through Machine Learning-Based Data Fusion
de Villiers, Pieter	Uncertain about ChatGPT: enabling the uncertainty evaluation of large language models Qualitative Models of Data Generation Processes: Facilitating Data-Intensive AI Solutions URREF Risk analysis towards Data Fusion Certification
Debaque, Benoit	MobileFuse: Multimodal Image Fusion at the Edge
Delecki, Harrison	Deep Normalizing Flows for State Estimation
DeMars, Kyle	Stein Variational Gradient Descent for Non-Bayesian Particle Flow
Dezert, Jean	Weighted Fusion of Multiple Classifiers for Human Activity Recognition Cross-Entropy and Relative Entropy of Basic Belief Assignments
Di Cairano, Stefano	Bayesian Sensor Fusion for Joint Vehicle Localization and Road Mapping Using Onboard Sensors
Dietmayer, Klaus	Online Performance Assessment of Multi-Sensor Kalman Filters Based on Subjective Logic The Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter
Dodson, Jacob	Optimal Sampling Methodologies for High-rate Structural Twinning
Dold, Daniel	Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model
Dong, Yilin	Weighted Fusion of Multiple Classifiers for Human Activity Recognition
Downey, Austin	Optimal Sampling Methodologies for High-rate Structural Twinning
Dragos, Valentina	Uncertain about ChatGPT: enabling the uncertainty evaluation of large language models Comparison of Classification Techniques for Extremism Detection in French Social Media Qualitative Models of Data Generation Processes: Facilitating Data-Intensive AI Solutions
Drake, Barry	Co-embedding Multi-type Data for Information Fusion and Visual Analytics
Drouin, Marc-Antoine	MobileFuse: Multimodal Image Fusion at the Edge
Duan, Zhansheng	Measurement-to-Measurement Association for MDA with A Practical Coarse Gating Strategy
Duclos-Hindie, Nicolas	MobileFuse: Multimodal Image Fusion at the Edge
Duffy, Jonathan	Joint Estimation of Vessel Parameter-Motion and Sea State
Dunham, Darin	Measurement and Track Fusion at the System Level
Dunik, Jindrich	Fault Detection in Resilient Time Provision Bounding Box Dynamics in Visual Tracking: Modeling and Noise Covariance Estimation Design of Efficient Point-Mass Filter with Terrain Aided Navigation Illustration
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Edridge, Thomas	Mapping the magnetic field using a magnetometer array with noisy input Gaussian process regression
Enamoto, Liriam	Generic Multimodal Gradient-based Meta Learner Framework
Enderli, Cyrille	Target search with a radar on an airborne platform
Ernst, Eugen	Multitarget-Multidetection Tracking Using the Kernel SME Filter
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Farahnakian, Fahimeh	Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland
Farina, Alfonso	L:OMEM - A fast filter to track maneuvering extended objects
Fazli, Mehrdad	Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models
Fedeler, Samuel	Decentralized Decision Making over Random Graphs
Fennel, Michael	Intention Estimation with Recurrent Neural Networks for Mixed Reality Environments
Ferrari, Jair Feldens	Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework
Ferrari, Silvia	Split Happens! Imprecise and Negative Information in Gaussian Mixture Random Finite Set Filtering
Ferreira Dias, Claudio	Enhancing Disaster Management of Guyed Towers through Machine Learning-Based Data Fusion
Fetter, Marnix	Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression
Flemmen, Henrik	Maritime radar odometry inspired by visual odometry
Forsling, Robin	Track-To-Track Association for Fusion of Dimension-Reduced Estimates
Forti, Nicola	Model-based Deep Learning for Maneuvering Target Tracking
Franco, Milvio	Scheduling Condition-based Maintenance: An Explainable Deep Reinforcement Learning Approach via Reward Decomposition
Freitas Iglesias Junior, Cristovão	DEMDE: Decision Making Design based on Bayesian Network for Personalized Monitoring System
Frisch, Daniel	Deterministic Sampling of Arbitrary Densities Using Equal Sphere Packing of Volume under the Density (PoVuD)
Funk, Christopher	Conservative Data Reduction for Covariance Matrices Using Elementwise Event Triggers
Furukawa, Tomonari	Motion Tracking with Coupled Magnetometers and Dynamic IMU Measurement Fusion in Nonuniform Magnetic Fields
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Galoppo, Travis	Reinforcement Learning-based Autonomous Sensor Control via Simultaneous Learning of Policies and State-Action Spaces
Gan, Runze	A Scalable Rao-Blackwellised Sequential MCMC Sampler for Joint Detection and Tracking in Clutter
Gao, Lin	Joint bias and target state estimation based on Doppler sensors Joint Emitter Detection and Tracking Based on the Bernoulli Filter
Garagic, Denis	Reinforcement Learning-based Autonomous Sensor Control via Simultaneous Learning of Policies and State-Action Spaces
Garbay, Serge	Intention Estimation with Recurrent Neural Networks for Mixed Reality Environments
Garcia, Jesus	UAV airframe classification based on trajectory data in UTM collaborative environments Avoiding quantification effect in the vertical trajectory reconstruction filtering system
Garcia-Fernandez, Angel	An Efficient Implementation of the Extended Object Trajectory PMB Filter Using Blocked Gibbs Sampling GOSPA-Driven Gaussian Bernoulli Sensor Management
Gayraud, Lionel	Association of labellized tracks with low reliability covariance information: a track graph partitioning approach
Geng, Baocheng	Sequential Processing of Observations in Human Decision-Making Systems
Glover, Timothy J.	Dual Control Inspired Active Sensing for Bearing-Only Target Tracking
Godsill, Simon	Flexible Multi-Target Tracking with Track Management Using Dirichlet and Gaussian Processes Inference for Variance-Gamma Driven Stochastic Systems A Scalable Rao-Blackwellised Sequential MCMC Sampler for Joint Detection and Tracking in Clutter
Goh, Jessica Koon Yan	Unbiased Electro-optical/Infrared Camera Angular Measurements and their Cross-Correlated Errors
Goodyer, Fred	Flexible Multi-Target Tracking with Track Management Using Dirichlet and Gaussian Processes
Gorman, Roisín	Stone Soup: No Longer Just an Appetiser
Govaers, Felix	Automatic Identification of Coordinated Targets Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model
Govers, Yves	Adaptive Kalman Filter Tracking for Instantaneous Aircraft Flutter Monitoring
Greiff, Marcus	Bayesian Sensor Fusion for Joint Vehicle Localization and Road Mapping Using Onboard Sensors
Griebel, Thomas	Online Performance Assessment of Multi-Sensor Kalman Filters Based on Subjective Logic The Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter
Griesser, Dennis	Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model
Griffiths, Hugh	Non-myopic Sensor Path Planning for Emitter Localization with a UAV
Gringoli, Francesco	Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data
Grøtli, Esten Ingar	Automatic Estimation of Ship-Mounted Cameras' Orientation by Hand-Eye Calibration
Guo, Yunfei	Multiple Gaussian Processes based Extended Target Tracking with Variational Inference
Gustafsson, Fredrik	Elephant DOA Estimation using a Geophone Network When Does the Marginalized Particle Filter Degenerate? Track-To-Track Association for Fusion of Dimension-Reduced Estimates
Göhner, Ulrich	A solution to the electrical urban transit routing problem with heterogeneous characteristics
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Haffari, Reza	Few-shot Domain-Adaptative Visually Fused Event Detection from Text
Hafskjold Gade, Brita Helene	Probability Distributions in Coastal Regions for Association of Naval Vessels
Hanebeck, Uwe D.	Approximate First-Passage Time Distributions for Gaussian Motion and Transportation Models Multitarget-Multidetection Tracking Using the Kernel SME Filter Deterministic Sampling of Arbitrary Densities Using Equal Sphere Packing of Volume under the Density (PoVuD) Progressive Bayesian Particle Flows based on Optimal Transport Map Sequences Shape Tracking Using Fourier-Chebyshev Double Series for 3D Distance Measurements Intention Estimation with Recurrent Neural Networks for Mixed Reality Environments
Hanen, Claire	Target search with a radar on an airborne platform
Harris, Michael	Stone Soup: No Longer Just an Appetiser
Harrison, Andre	Measuring Multi-Source Redundancy in Factor Graphs
Harvey, Ryan	Computational Algorithms for Acoustic Signals Direction of Arrival and Sound Speed Estimation
He, Fei	Game-Theoretic Strategies for Quantum-Conventional Network Infrastructures
Heikkonen, Jukka	Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland
Heinzler, Jonas	Online Performance Assessment of Multi-Sensor Kalman Filters Based on Subjective Logic
Helmons, Rudy	Distributed multi-agent magnetic field norm SLAM with Gaussian processes
Hem, Audun G.	WakeIPDA: Target tracking with existence modeling in the presence of wakes Variations of Joint Integrated Data Association With Radar and Target-Provided Measurements
Hendeby, Gustaf	Elephant DOA Estimation using a Geophone Network Iterated Filters for Nonlinear Transition Models When Does the Marginalized Particle Filter Degenerate? Track-To-Track Association for Fusion of Dimension-Reduced Estimates
Hermann, Charlotte	The Product Multi-Sensor Labeled Multi-Bernoulli Filter The Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter
Herrmann, Martin	The Product Multi-Sensor Labeled Multi-Bernoulli Filter The Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter
Hinostroza, Israel	GLRT Particle Filter for Non-Line of Sight Moving Target Tracking via Phased Array Radar
Hiscocks, Steven	Stone Soup: No Longer Just an Appetiser
Hoffmann, Folker	Non-myopic Sensor Path Planning for Emitter Localization with a UAV Learning IMM Filter Parameters from Measurements using Gradient Descent
Hoher, Patrick	Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model
Holzinger, Marcus	Decentralized Decision Making over Random Graphs
Honer, Jens	Modeling Inter-Vehicle Occlusion Scenarios in Multi-Camera Traffic Surveillance Systems
Huang, Hong'An Jack	Interframe Association of YOLO Bounding Boxes in the Presence of Camera Panning and Zooming
Huber, Patrick	A solution to the electrical urban transit routing problem with heterogeneous characteristics
Hunter, Andrew	Lossless Processing and the Limits of Trackability in MHT
Hyon, Emmanuel	Target search with a radar on an airborne platform
J
Jang, Junsu	Navigation in Shallow Water Using Passive Acoustic Ranging Towards Terrain-Based Navigation Using Side-scan Sonar
Jauffret, Claude	Observability of Bias of Measurements in Bearings-Only Target Motion Analysis
Jiang, Zhizhuo	A Novel Method for Maneuvering Extended Vehicle Tracking with Automotive Radar
Jimenez, German	Enhancing Disaster Management of Guyed Towers through Machine Learning-Based Data Fusion
Johnson, Joseph	Inference for Variance-Gamma Driven Stochastic Systems
Jones, Brandon	A Gaussian Integral Filter with Multivariate Laplace Process Noise Large-Scale Space Object Tracking in a Proliferated LEO Scenario
Jones, George	GOSPA-Driven Gaussian Bernoulli Sensor Management
Jousselme, Anne-Laure	Evaluation of Counter Unmanned Aerial Systems through the levels Uncertain about ChatGPT: enabling the uncertainty evaluation of large language models Sequential Source Selection Based On Evidential Value of Information URREF Risk analysis towards Data Fusion Certification
Juarez Garcia, Ezequiel	Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models
K
Kalender, Carolyn	Reinforcement Learning based Guidance Policy Optimization for a Swarm of Cooperative Sensor Platforms Tracking a Single Target
Kaplan, Lance	Bounded Subjective Opinions Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data
Kawtikwar, Samiran	Multi-Target Tracking with GPU-Accelerated Data Association Engine
Ke, Yuxin	A Novel Method for Maneuvering Extended Vehicle Tracking with Automotive Radar
Khan, Sakib Mahmud	Hybrid Quantum-Classical Neural Network for Incident Detection
Khan, Simon	Scheduling Condition-based Maintenance: An Explainable Deep Reinforcement Learning Approach via Reward Decomposition
Khan, Zadid	Hybrid Quantum-Classical Neural Network for Incident Detection
Khatib, Malaak	Periodic Fisher-Scoring Algorithm with Applications for DOA Estimation in Seismic Arrays
Kindap, Yaman	Inference for Variance-Gamma Driven Stochastic Systems
Knoll, Alois	Modeling Inter-Vehicle Occlusion Scenarios in Multi-Camera Traffic Surveillance Systems
Koch, Wolfgang	Automatic Identification of Coordinated Targets Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model Simultaneous Sensor and Sound Source Localization in Urban Environments
Kochenderfer, Mykel	Deep Normalizing Flows for State Estimation
Kok, Manon	Distributed multi-agent magnetic field norm SLAM with Gaussian processes Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression Mapping the magnetic field using a magnetometer array with noisy input Gaussian process regression
Kost, Oliver	Bounding Box Dynamics in Visual Tracking: Modeling and Noise Covariance Estimation Bounding Box Detection in Visual Tracking: Measurement Model Parameter Estimation
Kowalski, Pawel	Sequential Source Selection Based On Evidential Value of Information
Kral, Ladislav	Fault Detection in Resilient Time Provision
Kramer, Stefan	Identifying Aircraft Motions and Patterns from Magnetometry Data Using a Knowledge-Based Multi-Fusion Approach
Krejčí, Jan	Bounding Box Dynamics in Visual Tracking: Modeling and Noise Covariance Estimation Bounding Box Detection in Visual Tracking: Measurement Model Parameter Estimation
Krestel, Markus	Non-myopic Sensor Path Planning for Emitter Localization with a UAV
Krishnamurthy, Vikram	Statistical Detection of Coordination in a Cognitive Radar Network through Inverse Multi-Objective Optimization
Krueger, Max	Identifying Key Features in Aggregated Real-Life AIS-Messages for Classification of Maritime Vessels by Random Forests
Kruse, Liam	Deep Normalizing Flows for State Estimation
Kullberg, Anton	Iterated Filters for Nonlinear Transition Models
Köhler, Daniel	Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks
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Laskey, Kathryn	Uncertain about ChatGPT: enabling the uncertainty evaluation of large language models Qualitative Models of Data Generation Processes: Facilitating Data-Intensive AI Solutions URREF Risk analysis towards Data Fusion Certification
Laudy, Claire	Uncertain about ChatGPT: enabling the uncertainty evaluation of large language models URREF Risk analysis towards Data Fusion Certification
Lausser, Ludwig	Identifying Key Features in Aggregated Real-Life AIS-Messages for Classification of Maritime Vessels by Random Forests
Layer-Reiss, Samuel	Reinforcement Learning based Guidance Policy Optimization for a Swarm of Cooperative Sensor Platforms Tracking a Single Target
Lee, Donghwan	Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework
LeGrand, Keith	Split Happens! Imprecise and Negative Information in Gaussian Mixture Random Finite Set Filtering
Leitinger, Erik	Multipath-based SLAM with Multiple-Measurement Data Association
Levy, Daniel	Distributed Swarm Navigation with Factored Filters
Li, Gang	MCTNet: A Multi-Scale CNN-Transformer Network for Change Detection in Optical Remote Sensing Images
Li, Qing	A Scalable Rao-Blackwellised Sequential MCMC Sampler for Joint Detection and Tracking in Clutter
Li, Wanchun	Joint bias and target state estimation based on Doppler sensors
Li, Weiming	MCTNet: A Multi-Scale CNN-Transformer Network for Change Detection in Optical Remote Sensing Images
Li, Wenbiao	A Variational Method with Kernel Estimation and Low Rank Prior for Pansharpening
Li, Wujun	Multi-frame Detection for Dim Target under Heterogeneous Clutter in Airborne Radars
Li, Xi	On the approximation of the quotient of two Gaussian densities for multiple-model smoothing
Li, Xiaohua	Enhance Public Safety Surveillance in Smart Cities by Fusing Optical and Thermal Cameras
Li, Xinde	Weighted Fusion of Multiple Classifiers for Human Activity Recognition
Li, Yaowen	A Novel Method for Maneuvering Extended Vehicle Tracking with Automotive Radar
Li, Yuan-Fang	Few-shot Domain-Adaptative Visually Fused Event Detection from Text
Li, Zhiyuan	Learning Empirical Bregman Divergence for Uncertain Distance Representation
Li, Zhonggang	Geometry-Aware Distributed Kalman Filtering for Affine Formation Control under Observation Losses
Liang, Tao	Joint Emitter Detection and Tracking Based on the Bernoulli Filter
Lichtenberg, Rabea	A solution to the electrical urban transit routing problem with heterogeneous characteristics
Lima, Eduardo R. De	Enhancing Disaster Management of Guyed Towers through Machine Learning-Based Data Fusion
Liu, Cunjia	Dual Control Inspired Active Sensing for Bearing-Only Target Tracking
Liu, Yi	On the approximation of the quotient of two Gaussian densities for multiple-model smoothing
Liu, Yu	A Novel Method for Maneuvering Extended Vehicle Tracking with Automotive Radar
Liu, Zhunga	Maximum Correntropy Two-Filter Smoothing
Liu, Ziru	Learning Empirical Bregman Divergence for Uncertain Distance Representation
Llerena, Juan Pedro	UAV airframe classification based on trajectory data in UTM collaborative environments
Long, Xingyue	Multi-frame Detection for Dim Target under Heterogeneous Clutter in Airborne Radars Labeled Probability Hypothesis Density Filtering for Track-Before-Detect Strategy
Lopez, Michael Ernesto	Multiscan Shape Estimation for Extended Object Tracking
Luchterhand, Tim	The Product Multi-Sensor Labeled Multi-Bernoulli Filter
Luong, Hao	Joint Estimation of Vessel Parameter-Motion and Sea State
Lushchykov, Oleksandr	Fault Detection in Resilient Time Provision
López, Michael Ernesto	Extended target PMBM tracker with a Gaussian Process target model on LiDAR data
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M. de Almeida, Larissa	Enhancing Disaster Management of Guyed Towers through Machine Learning-Based Data Fusion
Ma, Yu Tak	Game-Theoretic Strategies for Quantum-Conventional Network Infrastructures
Majumdar, Reek	Hybrid Quantum-Classical Neural Network for Incident Detection
Mallick, Mahendra	Measurement-to-Measurement Association for MDA with A Practical Coarse Gating Strategy
Manes, Costanzo	Adaptive Mixture Model Reduction based on the Composite Transportation Dissimilarity
Manzie, Chris	Collaborative Bearing Estimation Using Set Membership Methods
Mao, Haiyi	Labeled Probability Hypothesis Density Filtering for Track-Before-Detect Strategy
Mao, Haiyi	Multi-frame Detection for Dim Target under Heterogeneous Clutter in Airborne Radars
Matousek, Jakub	Design of Efficient Point-Mass Filter with Terrain Aided Navigation Illustration
Matsumoto, Shou	Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework
McDonald, Michael	Bounded Subjective Opinions
Meinl, Frank	Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks
Menner, Marcel	Constrained Gaussian-Process State-Space Models for Online Magnetic-Field Estimation
Menzen, Clara	Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression
Mester, Rudolf	Multiscan Shape Estimation for Extended Object Tracking
Mester, Rudolf	Maritime radar odometry inspired by visual odometry
Meyer, Florian	On Multitarget Tracking with Possibly Unresolved Measurements Navigation in Shallow Water Using Passive Acoustic Ranging Towards Terrain-Based Navigation Using Side-scan Sonar
Mi, Pengbo	A Variational Method with Kernel Estimation and Low Rank Prior for Pansharpening
Miceli, Claudio	DEMDE: Decision Making Design based on Bayesian Network for Personalized Monitoring System
Miceli, Paul	Measurement and Track Fusion at the System Level
Michaelson, Kristen	Ensemble Kalman Filter with Bayesian Recursive Update
Michalaka, Dimitra	Hybrid Quantum-Classical Neural Network for Incident Detection
Middleton, Maarit	Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland
Mignet, Franck	Qualitative Models of Data Generation Processes: Facilitating Data-Intensive AI Solutions
Mihaylova, Lyudmila	On the approximation of the quotient of two Gaussian densities for multiple-model smoothing Holistic Self-Distillation with the Squeeze and Excitation Network for Fine-grained Plant Pathology Classification Out-of-distribution Object Detection through Bayesian Uncertainty Estimation
Millefiori, Leonardo M.	Model-based Deep Learning for Maneuvering Target Tracking
Miller, James	Computational Algorithms for Acoustic Signals Direction of Arrival and Sound Speed Estimation
Milzman, Jesse	Measuring Multi-Source Redundancy in Factor Graphs
Miraldo, Pedro	Bayesian Sensor Fusion for Joint Vehicle Localization and Road Mapping Using Onboard Sensors
Mizoguchi, Takehiko	Unsupervised anomaly detection under a multiple modeling strategy via model set optimization through transfer learning
Moghimifar, Farhad	Few-shot Domain-Adaptative Visually Fused Event Detection from Text
Molina, Jose M.	UAV airframe classification based on trajectory data in UTM collaborative environments Avoiding quantification effect in the vertical trajectory reconstruction filtering system
Morceaux, Jeremy	Dual occupancy and knowledge maps management for optimal traversability risk analysis
Mwakalonge, Judith	Hybrid Quantum-Classical Neural Network for Incident Detection
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Nagi, Rakesh	Multi-Target Tracking with GPU-Accelerated Data Association Engine
Napoli, Nicholas J.	Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models
Narykov, Alexey	Stochastic flows – a primer on early multi-object filtering work with point processes
Natsumeda, Masanao	Unsupervised anomaly detection under a multiple modeling strategy via model set optimization through transfer learning
Nevalainen, Paavo	Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland
Ng, Gee Wah	Interframe Association of YOLO Bounding Boxes in the Presence of Camera Panning and Zooming
Nguyen, Hoa Van	Joint Estimation of Vessel Parameter-Motion and Sea State
Nguyen, Van	Bounded Subjective Opinions
Nguyen, Van	Few-shot Domain-Adaptative Visually Fused Event Detection from Text
Nieto, Carlos	Measuring Multi-Source Redundancy in Factor Graphs
Noack, Benjamin	Conservative Data Reduction for Covariance Matrices Using Elementwise Event Triggers
Norton, Chris	Computational Algorithms for Acoustic Signals Direction of Arrival and Sound Speed Estimation
Nucci, Pedro	DEMDE: Decision Making Design based on Bayesian Network for Personalized Monitoring System
O
O'Rourke, Sean	Closing the Ivory Validation Gates: A Historical Analysis of Achkasov’s Data Association Filters
Oakes, Benedict	Stone Soup: No Longer Just an Appetiser
Ogle, Terry	Measurement and Track Fusion at the System Level
Ogunniyi, Emmanuel	Optimal Sampling Methodologies for High-rate Structural Twinning
Oispuu, Marc	Simultaneous Sensor and Sound Source Localization in Urban Environments
Oliveira, José Ricardo	Classification of Warship Formations Using a Kohonen Network
Orguner, Umut	Adaptive Mixture Model Reduction based on the Composite Transportation Dissimilarity
Orous Mousse, Charifou	Dual occupancy and knowledge maps management for optimal traversability risk analysis
P
Pan, Quan	Maximum Correntropy Two-Filter Smoothing
Pannetier, Benjamin	Evaluation of Counter Unmanned Aerial Systems through the levels
Park, Haesun	Co-embedding Multi-type Data for Information Fusion and Visual Analytics
Pattipati, Krishna	Computational Algorithms for Acoustic Signals Direction of Arrival and Sound Speed Estimation
Pavlin, Gregor	Qualitative Models of Data Generation Processes: Facilitating Data-Intensive AI Solutions URREF Risk analysis towards Data Fusion Certification
Pavlin, Gregor	Uncertain about ChatGPT: enabling the uncertainty evaluation of large language models
Peng, Cong	Labeled Probability Hypothesis Density Filtering for Track-Before-Detect Strategy
Perez, Annie-Claude	Observability of Bias of Measurements in Bearings-Only Target Motion Analysis
Perreault, Hughes	MobileFuse: Multimodal Image Fusion at the Edge
Perree, Nicola	Stone Soup: No Longer Just an Appetiser
Peskoe, Jacob	Reinforcement Learning-based Autonomous Sensor Control via Simultaneous Learning of Policies and State-Action Spaces
Pfaff, Florian	Approximate First-Passage Time Distributions for Gaussian Motion and Transportation Models Multitarget-Multidetection Tracking Using the Kernel SME Filter
Pfleger, Sergio G.	Sweeping UV-C Disinfection: a Mathematical Approach
Pham, Ba-Huy	GLRT Particle Filter for Non-Line of Sight Moving Target Tracking via Phased Array Radar
Pike, Sam	Stone Soup: No Longer Just an Appetiser
Pitkänen, Timo	Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland
Plentz, Patricia Della Méa	Sweeping UV-C Disinfection: a Mathematical Approach
Pohjankukka, Jonne	Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland
Popov, Andrey	Ensemble Kalman Filter with Bayesian Recursive Update Large-Scale Space Object Tracking in a Proliferated LEO Scenario Ensemble Gaussian Mixture Filtering with Particle-localized Covariances
Poredi, Nihal	Enhance Public Safety Surveillance in Smart Cities by Fusing Optical and Thermal Cameras
Pritchett, Henry	Stone Soup: No Longer Just an Appetiser
Puncochar, Ivo	Fault Detection in Resilient Time Provision Approximate Bayesian State Estimation for Active Fault Diagnosis of Large-Scale Systems
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Qin, Wen	Multi-frame Detection for Dim Target under Heterogeneous Clutter in Airborne Radars
Qin, Yuemei	Maximum Correntropy Two-Filter Smoothing
Qiu, Boyan	Multiple Gaussian Processes based Extended Target Tracking with Variational Inference
Quach, Maurice	Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks
R
Rabaste, Olivier	GLRT Particle Filter for Non-Line of Sight Moving Target Tracking via Phased Array Radar
Radzyner, Yael	Periodic Fisher-Scoring Algorithm with Applications for DOA Estimation in Seismic Arrays
Rajan, Raj	Geometry-Aware Distributed Kalman Filtering for Affine Formation Control under Observation Losses
Ralescu, Anca	Learning Empirical Bregman Divergence for Uncertain Distance Representation
Ramachandra, Raghavendra	Robust Face Morphing Attack Detection Using Fusion of Multiple Features and Classification Techniques
Ramos, J. Humberto	Nonlinearity-Aware Partial-Update Schmidt Kalman Filter
Ranasinghe, Damith C.	Joint Estimation of Vessel Parameter-Motion and Sea State
Randriamiarintsoa, Elie	Dual occupancy and knowledge maps management for optimal traversability risk analysis
Rangel, Pablo	Classification of Warship Formations Using a Kohonen Network
Rao, Nageswara	Game-Theoretic Strategies for Quantum-Conventional Network Infrastructures Study of Overfitting by Machine Learning Methods Using Generalization Equations
Ratnasingham, Tharmarasa	Ghost Track Detection in Multitarget Tracking using LSTM Network
Ravier, Robert	Reinforcement Learning-based Autonomous Sensor Control via Simultaneous Learning of Policies and State-Action Spaces
Reifler, Benjamin L.	Large-Scale Space Object Tracking in a Proliferated LEO Scenario
Reith-Braun, Marcel	Approximate First-Passage Time Distributions for Gaussian Motion and Transportation Models
Reuter, Johannes	Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model Shape Tracking Using Fourier-Chebyshev Double Series for 3D Distance Measurements
Rhodes, Bradley	Reinforcement Learning-based Autonomous Sensor Control via Simultaneous Learning of Policies and State-Action Spaces
Rice, Diamon	Hybrid Quantum-Classical Neural Network for Incident Detection
Ritchie, Matthew	Non-myopic Sensor Path Planning for Emitter Localization with a UAV
Rocha Filho, Geraldo P.	Generic Multimodal Gradient-based Meta Learner Framework
Rodrigues, Victoria R.	Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models
Rogers, John	Measuring Multi-Source Redundancy in Factor Graphs
Rogova, Galina	Deep classifiers evidential fusion with reliability
Rosenblatt, Jonathan D.	Periodic Fisher-Scoring Algorithm with Applications for DOA Estimation in Seismic Arrays
Rosoman, Oliver	Stone Soup: No Longer Just an Appetiser
Routtenberg, Tirza	Periodic Fisher-Scoring Algorithm with Applications for DOA Estimation in Seismic Arrays
Roy, Simon	MobileFuse: Multimodal Image Fusion at the Edge
Röning, Juha	Sweeping UV-C Disinfection: a Mathematical Approach
S
Sadler, Brian	Statistical Detection of Coordination in a Cognitive Radar Network through Inverse Multi-Objective Optimization
Saha, Swapnil Sayan	On-Sensor Online Learning and Classification Under 8 KB Memory
Sanchez Pedroche, David	UAV airframe classification based on trajectory data in UTM collaborative environments Avoiding quantification effect in the vertical trajectory reconstruction filtering system
Saucan, Augustin	On Multitarget Tracking with Possibly Unresolved Measurements
Schily, Hans	Non-myopic Sensor Path Planning for Emitter Localization with a UAV
Schlichting, Marc	Deep Normalizing Flows for State Estimation
Severinsen, Odin Aleksander	Belief propagation for marginal probabilities in multiple hypothesis tracking
Sgarioto, Daniel	Joint Estimation of Vessel Parameter-Motion and Sea State
Shapero, Samuel	Distributed Swarm Navigation with Factored Filters
Shiri, Fatemeh	Few-shot Domain-Adaptative Visually Fused Event Detection from Text
Shung, Dennis	On the Spherical Laplace Distribution
Singh, Jag Mohan	Robust Face Morphing Attack Detection Using Fusion of Multiple Features and Classification Techniques
Sjanic, Zoran	Track-To-Track Association for Fusion of Dimension-Reduced Estimates
Sjövik, Philip	Elephant DOA Estimation using a Geophone Network
Sjøberg, Alexander Meyer	Probability Distributions in Coastal Regions for Association of Naval Vessels
Skog, Isaac	Iterated Filters for Nonlinear Transition Models
Skvortsov, Alex	Joint Estimation of Vessel Parameter-Motion and Sea State
Slijkhuis, Filip	Qualitative Models of Data Generation Processes: Facilitating Data-Intensive AI Solutions
Snidaro, Lauro	Deep classifiers evidential fusion with reliability
Snow, Luke	Statistical Detection of Coordination in a Cognitive Radar Network through Inverse Multi-Objective Optimization
Soal, Keith	Adaptive Kalman Filter Tracking for Instantaneous Aircraft Flutter Monitoring
Somero, Michele	Deep classifiers evidential fusion with reliability
Sriranga, Nandan	Sequential Processing of Observations in Human Decision-Making Systems
Srivastava, Mani	Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data
Stahl, Annette	Multiscan Shape Estimation for Extended Object Tracking
Stahl, Annette	Maritime radar odometry inspired by visual odometry
Steuernagel, Simon	Improved Extended Object Tracking with Efficient Particle-based Orientation Estimation Evaluation Scores for Elliptic Extended Object Tracking Considering Diverse Object Sizes Sampling-based Track-to-Track Association
Still, Luisa	Simultaneous Sensor and Sound Source Localization in Urban Environments
Straka, Ondrej	Fault Detection in Resilient Time Provision Approximate Bayesian State Estimation for Active Fault Diagnosis of Large-Scale Systems Bounding Box Dynamics in Visual Tracking: Modeling and Noise Covariance Estimation Bounding Box Detection in Visual Tracking: Measurement Model Parameter Estimation Approximate fusion of probability density functions using Gaussian copulas
Strand, Leah	Modeling Inter-Vehicle Occlusion Scenarios in Multi-Camera Traffic Surveillance Systems
Streit, Roy	Stochastic flows – a primer on early multi-object filtering work with point processes
Su, Jingxuan	Holistic Self-Distillation with the Squeeze and Excitation Network for Fine-grained Plant Pathology Classification
Sun, Jun	Power Allocation for Multi-Target Tracking in Netted Radar System under Suppression Jamming
Svensson, Lennart	An Efficient Implementation of the Extended Object Trajectory PMB Filter Using Blocked Gibbs Sampling
T
Tesori, Matteo	Joint bias and target state estimation based on Doppler sensors Joint Emitter Detection and Tracking Based on the Bernoulli Filter L:OMEM - A fast filter to track maneuvering extended objects
Thormann, Kolja	Adaptive Kalman Filter Tracking for Instantaneous Aircraft Flutter Monitoring Improved Extended Object Tracking with Efficient Particle-based Orientation Estimation Evaluation Scores for Elliptic Extended Object Tracking Considering Diverse Object Sizes Sampling-based Track-to-Track Association
Thukkaraju, Ashrith Reddy	Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework
Thumm, Jakob	Approximate First-Passage Time Distributions for Gaussian Motion and Transportation Models
Tian, Zijiao	Interframe Association of YOLO Bounding Boxes in the Presence of Camera Panning and Zooming
Tine, Jean Michel	Hybrid Quantum-Classical Neural Network for Incident Detection
Tjønnås, Johannes	Automatic Estimation of Ship-Mounted Cameras' Orientation by Hand-Eye Calibration
Tokle, Lars-Christian Ness	Belief propagation for marginal probabilities in multiple hypothesis tracking The linear multitarget IPDA and its application on only a subset of the tracks.
Trezza, Anthony	On Gibbs Sampling Architecture for Labeled Random Finite Sets Multi-Object Tracking Deterministic Multi-sensor Measurement-adaptive Birth using Labeled Random Finite Sets
Trumpf, Jochen	Collaborative Bearing Estimation Using Set Membership Methods
Tuominen, Sakari	Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland
U
Ulrich, Michael	Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks
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Vaillaud, Hugo	Target search with a radar on an airborne platform
Van Bogaert, Benoit	Avoiding quantification effect in the vertical trajectory reconstruction filtering system
Van Zyl, Terence	Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting
Vaqueiro, Janito	Enhancing Disaster Management of Guyed Towers through Machine Learning-Based Data Fusion
Varshney, Pramod	On Gibbs Sampling Architecture for Labeled Random Finite Sets Multi-Object Tracking Sequential Processing of Observations in Human Decision-Making Systems
Venkatesh, Sushma	Robust Face Morphing Attack Detection Using Fusion of Multiple Features and Classification Techniques
Venus, Alexander	Multipath-based SLAM with Multiple-Measurement Data Association
Vereen, Alexander B.	Optimal Sampling Methodologies for High-rate Structural Twinning
Vexler, Julian	Identifying Aircraft Motions and Patterns from Magnetometry Data Using a Knowledge-Based Multi-Fusion Approach
Viset, F.M.	Distributed multi-agent magnetic field norm SLAM with Gaussian processes
Vladimirov, Lyudmil	Stone Soup: No Longer Just an Appetiser
Voet, Emmanuel	Avoiding quantification effect in the vertical trajectory reconstruction filtering system
Volkmar, Robin	Adaptive Kalman Filter Tracking for Instantaneous Aircraft Flutter Monitoring
Vollweiter, Christoph	A Method of Efficiently Evaluating Radar Performance Models Using Upper Bounds
Vriesman, Daniel	Multimodal Early Fusion of Automotive Sensors based on Autoencoder Network: An anchor-free approach for Vehicle 3D Detection
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Wahledow, Erik	Elephant DOA Estimation using a Geophone Network
Wang, Shenglin	Out-of-distribution Object Detection through Bayesian Uncertainty Estimation
Wang, Xueqian	MCTNet: A Multi-Scale CNN-Transformer Network for Change Detection in Optical Remote Sensing Images
Wanner, Lucas	Enhancing Disaster Management of Guyed Towers through Machine Learning-Based Data Fusion
Wei, Ping	Joint bias and target state estimation based on Doppler sensors Joint Emitter Detection and Tracking Based on the Bernoulli Filter
Wei, Zheng	Measurement-to-Measurement Association for MDA with A Practical Coarse Gating Strategy
Weigang, Li	Generic Multimodal Gradient-based Meta Learner Framework
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Xia, Yuxuan	An Efficient Implementation of the Extended Object Trajectory PMB Filter Using Blocked Gibbs Sampling
Xian, Xinyao	Joint bias and target state estimation based on Doppler sensors
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Xue, Yanbo	On the approximation of the quotient of two Gaussian densities for multiple-model smoothing
Y
Yang, Dongsheng	Multiple Gaussian Processes based Extended Target Tracking with Variational Inference
Yang, Jiaye	Labeled Probability Hypothesis Density Filtering for Track-Before-Detect Strategy
Yang, Le	On the approximation of the quotient of two Gaussian densities for multiple-model smoothing
Yang, Rong	Interframe Association of YOLO Bounding Boxes in the Presence of Camera Panning and Zooming Unbiased Electro-optical/Infrared Camera Angular Measurements and their Cross-Correlated Errors Full State Information Transfer Across Adjacent Cameras in a Network Using Gauss Helmert Filters
Yang, Yanbo	Maximum Correntropy Two-Filter Smoothing
Yang, Yi	A Variational Method with Kernel Estimation and Low Rank Prior for Pansharpening
Yi, Wei	Multi-frame Detection for Dim Target under Heterogeneous Clutter in Airborne Radars Labeled Probability Hypothesis Density Filtering for Track-Before-Detect Strategy Power Allocation for Multi-Target Tracking in Netted Radar System under Suppression Jamming
Yoon, Han Jun	Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework
You, Kisung	On the Spherical Laplace Distribution
Yuan, Ye	Power Allocation for Multi-Target Tracking in Netted Radar System under Suppression Jamming
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Zamani, Mohammad	Collaborative Bearing Estimation Using Set Membership Methods
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Zhang, Boxiang	Labeled Probability Hypothesis Density Filtering for Track-Before-Detect Strategy
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Zhang, Lingyi	Computational Algorithms for Acoustic Signals Direction of Arrival and Sound Speed Estimation
Zhang, Meng	A Variational Method with Kernel Estimation and Low Rank Prior for Pansharpening
Zhang, Sixian	A Variational Method with Kernel Estimation and Low Rank Prior for Pansharpening
Zhang, Tianhao	Out-of-distribution Object Detection through Bayesian Uncertainty Estimation
Zhang, Wei	Motion Tracking with Coupled Magnetometers and Dynamic IMU Measurement Fusion in Nonuniform Magnetic Fields
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Zuo, Kezhu	Weighted Fusion of Multiple Classifiers for Human Activity Recognition
Zwenig, Alexander	Reinforcement Learning based Guidance Policy Optimization for a Swarm of Cooperative Sensor Platforms Tracking a Single Target
Å
Åslund, Jakob	When Does the Marginalized Particle Filter Degenerate?

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