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Thierry Bouwmans
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2020 – today
- 2024
- [j37]Maryam Amoozegar
, Masoumeh Akbarizadeh
Robust and efficient FISTA-based method for moving object detection under background movements. Knowl. Based Syst. 294: 111765 (2024) - [j36]Manoj Kumar Panda
A Multi-Scale Contrast Preserving Encoder-Decoder Architecture for Local Change Detection From Thermal Video Scenes. IEEE Trans. Inf. Forensics Secur. 19: 7968-7981 (2024) - [c56]Zied Mnasri, Jhony H. Giraldo, Thierry Bouwmans:
Anomalous Sound Detection For Road Surveillance Based On Graph Signal Processing. EUSIPCO 2024: 161-165 - 2023
- [j35]Nestor Rendon
Uncertainty clustering internal validity assessment using Fréchet distance for unsupervised learning. Eng. Appl. Artif. Intell. 124: 106635 (2023) - [c55]Jhony H. Giraldo
On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks. CIKM 2023: 566-576 - [c54]Jhon A. Castro-Correa, Jhony H. Giraldo, Anindya Mondal, Mohsen Badiey, Thierry Bouwmans
Time-Varying Signals Recovery Via Graph Neural Networks. ICASSP 2023: 1-5 - [c53]Jhony H. Giraldo
Higher-Order Sparse Convolutions in Graph Neural Networks. ICASSP 2023: 1-5 - [c52]Wieke Prummel
Inductive Graph Neural Networks for Moving Object Segmentation. ICIP 2023: 2730-2734 - [i16]Jhony H. Giraldo, Sajid Javed, Arif Mahmood, Fragkiskos D. Malliaros, Thierry Bouwmans:
Higher-order Sparse Convolutions in Graph Neural Networks. CoRR abs/2302.10505 (2023) - [i15]Jhon A. Castro-Correa, Jhony H. Giraldo, Anindya Mondal, Mohsen Badiey, Thierry Bouwmans, Fragkiskos D. Malliaros:
Time-varying Signals Recovery via Graph Neural Networks. CoRR abs/2302.11313 (2023) - [i14]Wieke Prummel, Jhony H. Giraldo, Anastasia Zakharova, Thierry Bouwmans:
Inductive Graph Neural Networks for Moving Object Segmentation. CoRR abs/2305.09585 (2023) - [i13]Caroline Pacheco do Espírito Silva, Andrews Cordolino Sobral, Antoine Vacavant, Thierry Bouwmans, José A. M. Felippe De Souza:
Discovering Local Binary Pattern Equation for Foreground Object Removal in Videos. CoRR abs/2308.06305 (2023) - 2022
- [j34]Sajid Javed
A Novel Algorithm Based on a Common Subspace Fusion for Visual Object Tracking. IEEE Access 10: 24690-24703 (2022) - [j33]Maryam Sultana, Arif Mahmood, Thierry Bouwmans
Moving objects segmentation using generative adversarial modeling. Neurocomputing 506: 240-251 (2022) - [j32]Sirine Ammar, Thierry Bouwmans
Face Identification Using Data Augmentation Based on the Combination of DCGANs and Basic Manipulations. Inf. 13(8): 370 (2022) - [j31]Marwa Chendeb El Rai
SemiSegSAR: A Semi-Supervised Segmentation Algorithm for Ship SAR Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j30]Jhony H. Giraldo
Graph Moving Object Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2485-2503 (2022) - [j29]Jhony H. Giraldo
Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness. IEEE Trans. Signal Inf. Process. over Networks 8: 201-214 (2022) - [c51]Manoj Kumar Panda
An End to End Encoder-Decoder Network with Multi-scale Feature Pulling for Detecting Local Changes From Video Scene. AVSS 2022: 1-8 - [c50]Jhony H. Giraldo, Vincenzo Mariano Scarrica, Antonino Staiano
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation. ICIP 2022: 16-20 - [i12]Jhony H. Giraldo, Sajid Javed, Naoufel Werghi, Thierry Bouwmans:
Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos. CoRR abs/2207.06440 (2022) - [i11]Jhony H. Giraldo, Vincenzo Mariano Scarrica, Antonino Staiano
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation. CoRR abs/2210.05564 (2022) - [i10]Jhony H. Giraldo, Fragkiskos D. Malliaros, Thierry Bouwmans:
Understanding the Relationship between Over-smoothing and Over-squashing in Graph Neural Networks. CoRR abs/2212.02374 (2022) - 2021
- [c49]Maryam Sultana
Robust Foreground Segmentation in RGBD Data from Complex Scenes Using Adversarial Networks. IW-FCV 2021: 3-16 - [c48]Jhony H. Giraldo
The Emerging Field of Graph Signal Processing for Moving Object Segmentation. IW-FCV 2021: 31-45 - [c47]Maryam Sultana, Arif Mahmood, Thierry Bouwmans
Background/Foreground Separation: Guided Attention based Adversarial Modeling (GAAM) versus Robust Subspace Learning Methods. ICCVW 2021: 181-188 - [c46]Jhony H. Giraldo, Sajid Javed, Naoufel Werghi, Thierry Bouwmans
Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos. ICCVW 2021: 225-233 - [c45]Anindya Mondal
Moving Object Detection for Event-based Vision using Graph Spectral Clustering. ICCVW 2021: 876-884 - [i9]Caroline Pacheco do Espírito Silva, José A. M. Felippe De Souza, Antoine Vacavant, Thierry Bouwmans, Andrews Cordolino Sobral:
Automated Mathematical Equation Structure Discovery for Visual Analysis. CoRR abs/2104.08633 (2021) - [i8]Anindya Mondal, Shashant R, Jhony H. Giraldo, Thierry Bouwmans, Ananda S. Chowdhury:
Moving Object Detection for Event-based vision using Graph Spectral Clustering. CoRR abs/2109.14979 (2021) - 2020
- [j28]Belmar García García, Thierry Bouwmans
Background subtraction in real applications: Challenges, current models and future directions. Comput. Sci. Rev. 35: 100204 (2020) - [j27]Marie-Neige Chapel, Thierry Bouwmans
Moving objects detection with a moving camera: A comprehensive review. Comput. Sci. Rev. 38: 100310 (2020) - [j26]Sirine Ammar, Thierry Bouwmans
Deep detector classifier (DeepDC) for moving objects segmentation and classification in video surveillance. IET Image Process. 14(8): 1490-1501 (2020) - [j25]Shengping Zhang, Huiyu Zhou, Dong Xu, M. Emre Celebi, Thierry Bouwmans
Introduction to the Special Issue on Multimodal Machine Learning for Human Behavior Analysis. ACM Trans. Multim. Comput. Commun. Appl. 16(1s): 19:1-19:2 (2020) - [c44]Maryam Sultana
Unsupervised Adversarial Learning for Dynamic Background Modeling. IW-FCV 2020: 248-261 - [c43]Maryam Sultana, Arif Mahmood, Thierry Bouwmans
Dynamic Background Subtraction Using Least Square Adversarial Learning. ICIP 2020: 3204-3208 - [c42]Sujoy Madhab Roy
Dual Information-Based Background Model For Moving Object Detection. ICIP 2020: 3219-3223 - [c41]Jhony H. Giraldo
Semi-Supervised Background Subtraction Of Unseen Videos: Minimization Of The Total Variation Of Graph Signals. ICIP 2020: 3224-3228 - [c40]Jhony H. Giraldo
GraphBGS: Background Subtraction via Recovery of Graph Signals. ICPR 2020: 6881-6888 - [c39]Sirine Ammar, Thierry Bouwmans
Towards an Effective Approach for Face Recognition with DCGANs Data Augmentation. ISVC (1) 2020: 463-475 - [c38]Jhony H. Giraldo
On the Minimization of Sobolev Norms of Time-Varying Graph Signals: Estimation of New Coronavirus Disease 2019 Cases. MLSP 2020: 1-6 - [i7]Marie-Neige Chapel, Thierry Bouwmans:
Moving Objects Detection with a Moving Camera: A Comprehensive Review. CoRR abs/2001.05238 (2020) - [i6]Jhony H. Giraldo, Thierry Bouwmans:
GraphBGS: Background Subtraction via Recovery of Graph Signals. CoRR abs/2001.06404 (2020)
2010 – 2019
- 2019
- [j24]Thierry Bouwmans
Deep neural network concepts for background subtraction: A systematic review and comparative evaluation. Neural Networks 117: 8-66 (2019) - [j23]Sajid Javed
Moving Object Detection in Complex Scene Using Spatiotemporal Structured-Sparse RPCA. IEEE Trans. Image Process. 28(2): 1007-1022 (2019) - [c37]Maryam Sultana, Arif Mahmood
Complete Moving Object Detection in the Context of Robust Subspace Learning. ICCV Workshops 2019: 661-668 - [c36]Sirine Ammar, Thierry Bouwmans
Moving Objects Segmentation Based on DeepSphere in Video Surveillance. ISVC (2) 2019: 307-319 - [c35]François Kasséné Gomis, Thierry Bouwmans
Estimation of the Hidden Message Length in Steganography: A Deep Learning Approach. MLN 2019: 333-341 - [i5]Thierry Bouwmans, Belmar García García:
Background Subtraction in Real Applications: Challenges, Current Models and Future Directions. CoRR abs/1901.03577 (2019) - 2018
- [j22]Thierry Bouwmans
On the role and the importance of features for background modeling and foreground detection. Comput. Sci. Rev. 28: 26-91 (2018) - [j21]Mehran Yazdi
New trends on moving object detection in video images captured by a moving camera: A survey. Comput. Sci. Rev. 28: 157-177 (2018) - [j20]Thierry Bouwmans
Detection of Moving Objects. J. Imaging 4(7): 93 (2018) - [j19]Thierry Bouwmans
Introduction to the Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications. IEEE J. Sel. Top. Signal Process. 12(6): 1127-1130 (2018) - [j18]Namrata Vaswani
Rethinking PCA for Modern Data Sets: Theory, Algorithms, and Applications. Proc. IEEE 106(8): 1274-1276 (2018) - [j17]Thierry Bouwmans
On the Applications of Robust PCA in Image and Video Processing. Proc. IEEE 106(8): 1427-1457 (2018) - [j16]Namrata Vaswani
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery. IEEE Signal Process. Mag. 35(4): 32-55 (2018) - [j15]Sajid Javed
Spatiotemporal Low-Rank Modeling for Complex Scene Background Initialization. IEEE Trans. Circuits Syst. Video Technol. 28(6): 1315-1329 (2018) - [c34]Sajid Javed
Robust PCA and Robust Subspace Tracking: A Comparative Evaluation. SSP 2018: 836-840 - [i4]Thierry Bouwmans, Sajid Javed, Maryam Sultana, Soon Ki Jung:
Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation. CoRR abs/1811.05255 (2018) - 2017
- [j14]Thierry Bouwmans
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. 23: 1-71 (2017) - [j13]Alfredo Petrosino, Lucia Maddalena
Editorial-Scene background modeling and initialization. Pattern Recognit. Lett. 96: 1-2 (2017) - [j12]Thierry Bouwmans
Scene background initialization: A taxonomy. Pattern Recognit. Lett. 96: 3-11 (2017) - [j11]Caroline Silva, Thierry Bouwmans
Superpixel-based online wagging one-class ensemble for feature selection in foreground/background separation. Pattern Recognit. Lett. 100: 144-151 (2017) - [j10]Hongxun Yao, Andrea Cavallaro, Thierry Bouwmans
Guest Editorial Introduction to the Special Issue on Group and Crowd Behavior Analysis for Intelligent Multicamera Video Surveillance. IEEE Trans. Circuits Syst. Video Technol. 27(3): 405-408 (2017) - [j9]Sajid Javed
Background-Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering. IEEE Trans. Image Process. 26(12): 5840-5854 (2017) - [c33]Sajid Javed
Moving Object Detection on RGB-D Videos Using Graph Regularized Spatiotemporal RPCA. ICIAP Workshops 2017: 230-241 - [c32]Zhenkun Huang, Ruimin Hu, Thierry Bouwmans
Multi-feature fusion based background subtraction for video sequences with strong background changes. ICIP 2017: 3370-3374 - [c31]Sajid Javed
Improving OR-PCA via smoothed spatially-consistent low-rank modeling for background subtraction. SAC 2017: 89-94 - [c30]Sajid Javed
SBMI-LTD: stationary background model initialization based on low-rank tensor decomposition. SAC 2017: 195-200 - [i3]Namrata Vaswani, Thierry Bouwmans, Sajid Javed, Praneeth Narayanamurthy:
Robust PCA and Robust Subspace Tracking. CoRR abs/1711.09492 (2017) - 2016
- [j8]Wenjuan Gong
Human Pose Estimation from Monocular Images: A Comprehensive Survey. Sensors 16(12): 1966 (2016) - [c29]Juan D. Pulgarin-Giraldo
GMM Background Modeling Using Divergence-Based Weight Updating. CIARP 2016: 282-290 - [c28]Sajid Javed
Motion-Aware Graph Regularized RPCA for background modeling of complex scenes. ICPR 2016: 120-125 - [c27]Caroline Silva, Thierry Bouwmans
Online Weighted One-Class Ensemble for feature selection in background/foreground separation. ICPR 2016: 2216-2221 - [i2]Thierry Bouwmans, Caroline Silva, Cristina Marghes, Mohammed Sami Zitouni, Harish Bhaskar, Carl Frélicot:
On the Role and the Importance of Features for Background Modeling and Foreground Detection. CoRR abs/1611.09099 (2016) - 2015
- [j7]Sajid Javed
Robust background subtraction to global illumination changes via multiple features-based online robust principal components analysis with Markov random field. J. Electronic Imaging 24(4): 043011 (2015) - [c26]Andrews Sobral
Double-constrained RPCA based on saliency maps for foreground detection in automated maritime surveillance. AVSS 2015: 1-6 - [c25]Sajid Javed
Depth extended online RPCA with spatiotemporal constraints for robust background subtraction. FCV 2015: 1-6 - [c24]Sajid Javed
Background Subtraction via Superpixel-Based Online Matrix Decomposition with Structured Foreground Constraints. ICCV Workshops 2015: 930-938 - [c23]Andrews Sobral
Online Stochastic Tensor Decomposition for Background Subtraction in Multispectral Video Sequences. ICCV Workshops 2015: 946-953 - [c22]Sajid Javed
Stochastic decomposition into low rank and sparse tensor for robust background subtraction. ICDP 2015: 1-6 - [c21]Sajid Javed
Combining ARF and OR-PCA for Robust Background Subtraction of Noisy Videos. ICIAP (2) 2015: 340-351 - [c20]Andrews Sobral
Comparison of Matrix Completion Algorithms for Background Initialization in Videos. ICIAP Workshops 2015: 510-518 - [c19]Sajid Javed
OR-PCA with dynamic feature selection for robust background subtraction. SAC 2015: 86-91 - [c18]Caroline Silva, Thierry Bouwmans
An eXtended Center-Symmetric Local Binary Pattern for Background Modeling and Subtraction in Videos. VISAPP (1) 2015: 395-402 - [i1]Thierry Bouwmans, Andrews Sobral, Sajid Javed, Soon Ki Jung, El-Hadi Zahzah:
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset. CoRR abs/1511.01245 (2015) - 2014
- [b1]Thierry Bouwmans:
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. University of La Rochelle, France, 2014 - [j6]Thierry Bouwmans
Traditional and recent approaches in background modeling for foreground detection: An overview. Comput. Sci. Rev. 11-12: 31-66 (2014) - [j5]Thierry Bouwmans
Robust PCA via Principal Component Pursuit: A review for a comparative evaluation in video surveillance. Comput. Vis. Image Underst. 122: 22-34 (2014) - [j4]Thierry Bouwmans
Special issue on background modeling for foreground detection in real-world dynamic scenes. Mach. Vis. Appl. 25(5): 1101-1103 (2014) - [c17]Sajid Javed
OR-PCA with MRF for Robust Foreground Detection in Highly Dynamic Backgrounds. ACCV (3) 2014: 284-299 - [c16]Andrews Sobral
Incremental and Multi-feature Tensor Subspace Learning Applied for Background Modeling and Subtraction. ICIAR (1) 2014: 94-103 - 2012
- [j3]Diana Farcas, Cristina Marghes, Thierry Bouwmans
Background subtraction via incremental maximum margin criterion: a discriminative subspace approach. Mach. Vis. Appl. 23(6): 1083-1101 (2012) - [c15]Charles Guyon, Thierry Bouwmans
Foreground Detection via Robust Low Rank Matrix Decomposition Including Spatio-Temporal Constraint. ACCV Workshops (1) 2012: 315-320 - [c14]Charles Guyon, Thierry Bouwmans
Foreground Detection by Robust PCA Solved via a Linearized Alternating Direction Method. ICIAR (1) 2012: 115-122 - [c13]Charles Guyon, Thierry Bouwmans
Foreground detection based on low-rank and block-sparse matrix decomposition. ICIP 2012: 1225-1228 - [c12]Charles Guyon, Thierry Bouwmans, El-Hadi Zahzah:
Foreground detection via robust low rank matrix factorization including spatial constraint with Iterative reweighted regression. ICPR 2012: 2805-2808 - [c11]Charles Guyon, Thierry Bouwmans
Moving Object Detection by Robust PCA Solved via a Linearized Symmetric Alternating Direction Method. ISVC (1) 2012: 427-436 - [c10]Charles Guyon, Thierry Bouwmans
Moving Object Detection via Robust Low Rank Matrix Decomposition with IRLS Scheme. ISVC (1) 2012: 665-674 - [r1]Thierry Bouwmans:
Background Subtraction for Visual Surveillance. Handbook of Soft Computing for Video Surveillance 2012: 103-138 - 2010
- [c9]Cristina Marghes, Thierry Bouwmans
Background Modeling via Incremental Maximum Margin Criterion. ACCV Workshops (2) 2010: 394-403
2000 – 2009
- 2009
- [c8]Fida El Baf, Thierry Bouwmans
Fuzzy statistical modeling of dynamic backgrounds for moving object detection in infrared videos. CVPR Workshops 2009: 60-65 - 2008
- [c7]Fida El Baf, Thierry Bouwmans
Fuzzy foreground detection for infrared videos. CVPR Workshops 2008: 1-6 - [c6]Fida El Baf, Thierry Bouwmans
Fuzzy integral for moving object detection. FUZZ-IEEE 2008: 1729-1736 - [c5]Fida El Baf, Thierry Bouwmans
A fuzzy approach for background subtraction. ICIP 2008: 2648-2651 - [c4]Fida El Baf, Thierry Bouwmans
Type-2 Fuzzy Mixture of Gaussians Model: Application to Background Modeling. ISVC (1) 2008: 772-781 - [c3]Fida El Baf, Thierry Bouwmans
Foreground Detection Using the Choquet Integral. WIAMIS 2008: 187-190 - 2007
- [c2]Fida El Baf, Thierry Bouwmans, Bertrand Vachon:
Comparison of Background Subtraction Methods for a Multimedia Learning Space. SIGMAP 2007: 153-158 - 2002
- [c1]Dahbia Semani, Christophe Saint-Jean
Alive Fishes Species Characterization from Video Sequences. SSPR/SPR 2002: 689-698 - 2001
- [j2]André Bigand, Thierry Bouwmans
A new stereomatching algorithm based on linear features and the fuzzy integral. Pattern Recognit. Lett. 22(2): 133-146 (2001) - [j1]André Bigand, Thierry Bouwmans
Extraction of line segments from fuzzy images. Pattern Recognit. Lett. 22(13): 1405-1418 (2001)
Coauthor Index
Jhony-Heriberto Giraldo-Zuluaga
aka: Jhony H. Giraldo
aka: Jhony H. Giraldo
Andrews Sobral
aka: Andrews Cordolino Sobral
aka: Andrews Cordolino Sobral
El-hadi Zahzah
aka: El-Hadi Zahzah
aka: El-Hadi Zahzah
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last updated on 2024-11-07 20:31 CET by the dblp team
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