| Robust PCA via principal component pursuit: A review for a comparative evaluation in video surveillance T Bouwmans, EH Zahzah Computer Vision and Image Understanding 122, 22-34, 2014 | 404 | 2014 |
| Decomposition into low-rank plus additive matrices for background/foreground separation: A review for a comparative evaluation with a large-scale dataset T Bouwmans, A Sobral, S Javed, SK Jung, EH Zahzah Computer Science Review 23, 1-71, 2017 | 264 | 2017 |
| Robust principal component analysis for background subtraction: Systematic evaluation and comparative analysis C Guyon, T Bouwmans, E Zahzah Principal component analysis 10, 223-238, 2012 | 94 | 2012 |
| Lrslibrary: Low-rank and sparse tools for background modeling and subtraction in videos A Sobral, T Bouwmans, E Zahzah Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and …, 2016 | 91 | 2016 |
| Handbook of robust low-rank and sparse matrix decomposition: Applications in image and video processing T Bouwmans, NS Aybat, E Zahzah CRC Press, 2016 | 69 | 2016 |
| Foreground detection based on low-rank and block-sparse matrix decomposition C Guyon, T Bouwmans, EH Zahzah 2012 19th IEEE International Conference on Image Processing, 1225-1228, 2012 | 60 | 2012 |
| Human pose estimation from monocular images: A comprehensive survey W Gong, X Zhang, J Gonzàlez, A Sobral, T Bouwmans, C Tu, E Zahzah Sensors 16 (12), 1966, 2016 | 59 | 2016 |
| Online stochastic tensor decomposition for background subtraction in multispectral video sequences A Sobral, S Javed, S Ki Jung, T Bouwmans, E Zahzah Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 55 | 2015 |
| Numeric and symbolic data fusion: A soft computing approach to remote sensing images analysis J Desachy, L Roux, EH Zahzah Pattern Recognition Letters 17 (13), 1361-1378, 1996 | 51 | 1996 |
| Double-constrained RPCA based on saliency maps for foreground detection in automated maritime surveillance A Sobral, T Bouwmans, E ZahZah 2015 12th IEEE International Conference on Advanced Video and Signal Based …, 2015 | 50 | 2015 |
| Foreground detection via robust low rank matrix decomposition including spatio-temporal constraint C Guyon, T Bouwmans, EH Zahzah Asian conference on computer vision, 315-320, 2012 | 49 | 2012 |
| Incremental and multi-feature tensor subspace learning applied for background modeling and subtraction A Sobral, CG Baker, T Bouwmans, E Zahzah International Conference Image Analysis and Recognition, 94-103, 2014 | 44 | 2014 |
| Matrix and tensor completion algorithms for background model initialization: A comparative evaluation A Sobral, E Zahzah Pattern Recognition Letters 96, 22-33, 2017 | 35 | 2017 |
| Comparison of matrix completion algorithms for background initialization in videos A Sobral, T Bouwmans, EH Zahzah International Conference on Image Analysis and Processing, 510-518, 2015 | 31 | 2015 |
| Contribution à la Représentation des connaissances et à leur utilisation pour l'Interprétation Automatique des Images Satellite EH Zahzah Toulouse 3, 1992 | 30 | 1992 |
| Foreground detection via robust low rank matrix factorization including spatial constraint with iterative reweighted regression C Guyon, T Bouwmans, EH Zahzah Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 27 | 2012 |
| Moving object detection via robust low rank matrix decomposition with IRLS scheme C Guyon, T Bouwmans, EH Zahzah International symposium on visual computing, 665-674, 2012 | 25 | 2012 |
| Image understanding using fuzzy isomorphism of fuzzy structures C Demko, E Zahzah Proceedings of 1995 IEEE International Conference on Fuzzy Systems. 3, 1665-1672, 1995 | 19 | 1995 |
| On the improvement of combined fuzzy topological and directional relations information N Salamat, EH Zahzah Pattern Recognition 45 (4), 1559-1568, 2012 | 17 | 2012 |
| Indexation et recherche d'image fondées sur les relations spatiales entre objets J Malki, EH Zahzah, L Mascarilla Traitement du signal 18 (4), 235-51, 2002 | 16 | 2002 |
Thierry BOUWMANSLaboratoire MIA, La Rochelle UniversitéAdresse e-mail validée de univ-lr.fr
