Thierry Bouwmans

Orcid: 0000-0003-4018-8856

According to our database1, Thierry Bouwmans authored at least 100 papers between 2001 and 2024.

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Bibliography

2024
A Multi-Scale Contrast Preserving Encoder-Decoder Architecture for Local Change Detection From Thermal Video Scenes.
IEEE Trans. Inf. Forensics Secur., 2024

Robust and efficient FISTA-based method for moving object detection under background movements.
Knowl. Based Syst., 2024

Anomalous Sound Detection For Road Surveillance Based On Graph Signal Processing.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Uncertainty clustering internal validity assessment using Fréchet distance for unsupervised learning.
Eng. Appl. Artif. Intell., 2023

Discovering Local Binary Pattern Equation for Foreground Object Removal in Videos.
CoRR, 2023

Inductive Graph Neural Networks for Moving Object Segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2023

Higher-Order Sparse Convolutions in Graph Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

Time-Varying Signals Recovery Via Graph Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness.
IEEE Trans. Signal Inf. Process. over Networks, 2022

Graph Moving Object Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

SemiSegSAR: A Semi-Supervised Segmentation Algorithm for Ship SAR Images.
IEEE Geosci. Remote. Sens. Lett., 2022

Face Identification Using Data Augmentation Based on the Combination of DCGANs and Basic Manipulations.
Inf., 2022

Moving objects segmentation using generative adversarial modeling.
Neurocomputing, 2022

Understanding the Relationship between Over-smoothing and Over-squashing in Graph Neural Networks.
CoRR, 2022

A Novel Algorithm Based on a Common Subspace Fusion for Visual Object Tracking.
IEEE Access, 2022

Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

An End to End Encoder-Decoder Network with Multi-scale Feature Pulling for Detecting Local Changes From Video Scene.
Proceedings of the 18th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2022

2021
Automated Mathematical Equation Structure Discovery for Visual Analysis.
CoRR, 2021

Background/Foreground Separation: Guided Attention based Adversarial Modeling (GAAM) versus Robust Subspace Learning Methods.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Moving Object Detection for Event-based Vision using Graph Spectral Clustering.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Robust Foreground Segmentation in RGBD Data from Complex Scenes Using Adversarial Networks.
Proceedings of the Frontiers of Computer Vision - 27th International Workshop, 2021

The Emerging Field of Graph Signal Processing for Moving Object Segmentation.
Proceedings of the Frontiers of Computer Vision - 27th International Workshop, 2021

2020
Introduction to the Special Issue on Multimodal Machine Learning for Human Behavior Analysis.
ACM Trans. Multim. Comput. Commun. Appl., 2020

Deep detector classifier (DeepDC) for moving objects segmentation and classification in video surveillance.
IET Image Process., 2020

Background subtraction in real applications: Challenges, current models and future directions.
Comput. Sci. Rev., 2020

Moving objects detection with a moving camera: A comprehensive review.
Comput. Sci. Rev., 2020

On the Minimization of Sobolev Norms of Time-Varying Graph Signals: Estimation of New Coronavirus Disease 2019 Cases.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Towards an Effective Approach for Face Recognition with DCGANs Data Augmentation.
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

GraphBGS: Background Subtraction via Recovery of Graph Signals.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Dynamic Background Subtraction Using Least Square Adversarial Learning.
Proceedings of the IEEE International Conference on Image Processing, 2020

Dual Information-Based Background Model For Moving Object Detection.
Proceedings of the IEEE International Conference on Image Processing, 2020

Semi-Supervised Background Subtraction Of Unseen Videos: Minimization Of The Total Variation Of Graph Signals.
Proceedings of the IEEE International Conference on Image Processing, 2020

Unsupervised Adversarial Learning for Dynamic Background Modeling.
Proceedings of the Frontiers of Computer Vision - 26th International Workshop, 2020

2019
Moving Object Detection in Complex Scene Using Spatiotemporal Structured-Sparse RPCA.
IEEE Trans. Image Process., 2019

Deep neural network concepts for background subtraction: A systematic review and comparative evaluation.
Neural Networks, 2019

Background Subtraction in Real Applications: Challenges, Current Models and Future Directions.
CoRR, 2019

Estimation of the Hidden Message Length in Steganography: A Deep Learning Approach.
Proceedings of the Machine Learning for Networking, 2019

Moving Objects Segmentation Based on DeepSphere in Video Surveillance.
Proceedings of the Advances in Visual Computing, 2019

Complete Moving Object Detection in the Context of Robust Subspace Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Spatiotemporal Low-Rank Modeling for Complex Scene Background Initialization.
IEEE Trans. Circuits Syst. Video Technol., 2018

Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery.
IEEE Signal Process. Mag., 2018

Rethinking PCA for Modern Data Sets: Theory, Algorithms, and Applications.
Proc. IEEE, 2018

On the Applications of Robust PCA in Image and Video Processing.
Proc. IEEE, 2018

Introduction to the Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications.
IEEE J. Sel. Top. Signal Process., 2018

Detection of Moving Objects.
J. Imaging, 2018

New trends on moving object detection in video images captured by a moving camera: A survey.
Comput. Sci. Rev., 2018

On the role and the importance of features for background modeling and foreground detection.
Comput. Sci. Rev., 2018

Robust PCA and Robust Subspace Tracking: A Comparative Evaluation.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

2017
Background-Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering.
IEEE Trans. Image Process., 2017

Guest Editorial Introduction to the Special Issue on Group and Crowd Behavior Analysis for Intelligent Multicamera Video Surveillance.
IEEE Trans. Circuits Syst. Video Technol., 2017

Superpixel-based online wagging one-class ensemble for feature selection in foreground/background separation.
Pattern Recognit. Lett., 2017

Editorial-Scene background modeling and initialization.
Pattern Recognit. Lett., 2017

Scene background initialization: A taxonomy.
Pattern Recognit. Lett., 2017

Decomposition into low-rank plus additive matrices for background/foreground separation: A review for a comparative evaluation with a large-scale dataset.
Comput. Sci. Rev., 2017

Robust PCA and Robust Subspace Tracking.
CoRR, 2017

SBMI-LTD: stationary background model initialization based on low-rank tensor decomposition.
Proceedings of the Symposium on Applied Computing, 2017

Improving OR-PCA via smoothed spatially-consistent low-rank modeling for background subtraction.
Proceedings of the Symposium on Applied Computing, 2017

Multi-feature fusion based background subtraction for video sequences with strong background changes.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Moving Object Detection on RGB-D Videos Using Graph Regularized Spatiotemporal RPCA.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2017, 2017

2016
Human Pose Estimation from Monocular Images: A Comprehensive Survey.
Sensors, 2016

Online Weighted One-Class Ensemble for feature selection in background/foreground separation.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Motion-Aware Graph Regularized RPCA for background modeling of complex scenes.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

GMM Background Modeling Using Divergence-Based Weight Updating.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

2015
Robust background subtraction to global illumination changes via multiple features-based online robust principal components analysis with Markov random field.
J. Electronic Imaging, 2015

An eXtended Center-Symmetric Local Binary Pattern for Background Modeling and Subtraction in Videos.
Proceedings of the VISAPP 2015, 2015

OR-PCA with dynamic feature selection for robust background subtraction.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Comparison of Matrix Completion Algorithms for Background Initialization in Videos.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2015 Workshops, 2015

Combining ARF and OR-PCA for Robust Background Subtraction of Noisy Videos.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

Stochastic decomposition into low rank and sparse tensor for robust background subtraction.
Proceedings of the 6th International Conference on Imaging for Crime Detection and Prevention, 2015

Online Stochastic Tensor Decomposition for Background Subtraction in Multispectral Video Sequences.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Background Subtraction via Superpixel-Based Online Matrix Decomposition with Structured Foreground Constraints.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Depth extended online RPCA with spatiotemporal constraints for robust background subtraction.
Proceedings of the 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision, 2015

Double-constrained RPCA based on saliency maps for foreground detection in automated maritime surveillance.
Proceedings of the 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2015

2014
Special issue on background modeling for foreground detection in real-world dynamic scenes.
Mach. Vis. Appl., 2014

Robust PCA via Principal Component Pursuit: A review for a comparative evaluation in video surveillance.
Comput. Vis. Image Underst., 2014

Traditional and recent approaches in background modeling for foreground detection: An overview.
Comput. Sci. Rev., 2014

Incremental and Multi-feature Tensor Subspace Learning Applied for Background Modeling and Subtraction.
Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014

OR-PCA with MRF for Robust Foreground Detection in Highly Dynamic Backgrounds.
Proceedings of the Computer Vision - ACCV 2014, 2014

De l'Importance des Methodes de Suppression de Fond Pour la Detection d'Objets Mobiles Dans des Videos Acquises Par des Cameras Fixes: Etat de l'art, Nouvelles Approches et Perspectives.
, 2014

2012
Background Subtraction for Visual Surveillance.
Proceedings of the Handbook on Soft Computing for Video Surveillance., 2012

Background subtraction via incremental maximum margin criterion: a discriminative subspace approach.
Mach. Vis. Appl., 2012

Moving Object Detection via Robust Low Rank Matrix Decomposition with IRLS Scheme.
Proceedings of the Advances in Visual Computing - 8th International Symposium, 2012

Moving Object Detection by Robust PCA Solved via a Linearized Symmetric Alternating Direction Method.
Proceedings of the Advances in Visual Computing - 8th International Symposium, 2012

Foreground detection via robust low rank matrix factorization including spatial constraint with Iterative reweighted regression.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Foreground detection based on low-rank and block-sparse matrix decomposition.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Foreground Detection by Robust PCA Solved via a Linearized Alternating Direction Method.
Proceedings of the Image Analysis and Recognition - 9th International Conference, 2012

Foreground Detection via Robust Low Rank Matrix Decomposition Including Spatio-Temporal Constraint.
Proceedings of the Computer Vision - ACCV 2012 Workshops, 2012

2010
Background Modeling via Incremental Maximum Margin Criterion.
Proceedings of the Computer Vision - ACCV 2010 Workshops, 2010

2009
Fuzzy statistical modeling of dynamic backgrounds for moving object detection in infrared videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

2008
Foreground Detection Using the Choquet Integral.
Proceedings of the Ninth International Workshop on Image Analysis for Multimedia Interactive Services, 2008

Type-2 Fuzzy Mixture of Gaussians Model: Application to Background Modeling.
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008

A fuzzy approach for background subtraction.
Proceedings of the International Conference on Image Processing, 2008

Fuzzy integral for moving object detection.
Proceedings of the FUZZ-IEEE 2008, 2008

Fuzzy foreground detection for infrared videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007
Comparison of Background Subtraction Methods for a Multimedia Learning Space.
Proceedings of the SIGMAP 2007, 2007

2002
Alive Fishes Species Characterization from Video Sequences.
Proceedings of the Structural, 2002

2001
Extraction of line segments from fuzzy images.
Pattern Recognit. Lett., 2001

A new stereomatching algorithm based on linear features and the fuzzy integral.
Pattern Recognit. Lett., 2001


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