Nonlinear refinement of structure from motion reconstruction by taking advantage of a partial knowledge of the environment M Tamaazousti, V Gay-Bellile, SN Collette, S Bourgeois, M Dhome CVPR 2011, 3073-3080, 2011 | 85 | 2011 |
Learning more universal representations for transfer-learning Y Tamaazousti, H Le Borgne, C Hudelot, M Tamaazousti IEEE transactions on pattern analysis and machine intelligence 42 (9), 2212-2224, 2019 | 76 | 2019 |
Random matrix theory proves that deep learning representations of gan-data behave as gaussian mixtures MEA Seddik, C Louart, M Tamaazousti, R Couillet International Conference on Machine Learning, 8573-8582, 2020 | 73 | 2020 |
An interactive augmented reality system: a prototype for industrial maintenance training applications B Besbes, SN Collette, M Tamaazousti, S Bourgeois, V Gay-Bellile 2012 IEEE international symposium on mixed and augmented reality (ISMAR …, 2012 | 64 | 2012 |
Generic and real-time detection of specular reflections in images A Morgand, M Tamaazousti 2014 International conference on computer vision theory and applications …, 2014 | 47 | 2014 |
Deep multi-class adversarial specularity removal J Lin, M El Amine Seddik, M Tamaazousti, Y Tamaazousti, A Bartoli Image Analysis: 21st Scandinavian Conference, SCIA 2019, Norrköping, Sweden …, 2019 | 38 | 2019 |
Kernel random matrices of large concentrated data: the example of gan-generated images MEA Seddik, M Tamaazousti, R Couillet ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 23 | 2019 |
A mobile markerless augmented reality system for the automotive field G Gay-Bellile, S Bourgeois, M Tamaazousti, S Naudet-Collette, S Knodel ISMAR Workshop, 2012 | 20 | 2012 |
Real-time accurate localization in a partially known environment: Application to augmented reality on textureless 3d objects M Tamaazousti, V Gay-Bellile, SN Collette, S Bourgeois, M Dhome ISMAR workshop 1 (2), 3, 2011 | 18 | 2011 |
Deep multi-task mining Calabi–Yau four-folds H Erbin, R Finotello, R Schneider, M Tamaazousti Machine Learning: Science and Technology 3 (1), 015006, 2021 | 17 | 2021 |
Method for locating a camera and for 3D reconstruction in a partially known environment M Tamaazousti, S Bourgeois, M Dhome, V Gay-Bellile, S Naudet US Patent 9,613,420, 2017 | 16 | 2017 |
The constrained SLAM framework for non-instrumented augmented reality: Application to industrial training M Tamaazousti, S Naudet-Collette, V Gay-Bellile, S Bourgeois, B Besbes, ... Multimedia Tools and Applications 75, 9511-9547, 2016 | 16 | 2016 |
Random tensor theory for tensor decomposition M Ouerfelli, M Tamaazousti, V Rivasseau Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7913-7921, 2022 | 14 | 2022 |
A kernel random matrix-based approach for sparse PCA MEA Seddik, M Tamaazousti, R Couillet ICLR 2019-International Conference on Learning Representations, 2019 | 14 | 2019 |
A Vision-Based Hybrid System for Real-time Accurate Localization in an Indoor Environment. V Gay-Bellile, M Tamaazousti, R Dupont, S Naudet-Collette VISAPP (1), 216-222, 2010 | 13 | 2010 |
Generalized scale behavior and renormalization group for data analysis V Lahoche, DO Samary, M Tamaazousti Journal of Statistical Mechanics: Theory and Experiment 2022 (3), 033101, 2022 | 12 | 2022 |
Field theoretical approach for signal detection in nearly continuous positive spectra II: Tensorial data V Lahoche, M Ouerfelli, DO Samary, M Tamaazousti Entropy 23 (7), 795, 2021 | 12 | 2021 |
Generative collaborative networks for single image super-resolution MEA Seddik, M Tamaazousti, J Lin Neurocomputing 398, 293-303, 2020 | 11 | 2020 |
A geometric model for specularity prediction on planar surfaces with multiple light sources A Morgand, M Tamaazousti, A Bartoli IEEE Transactions on Visualization and Computer Graphics 24 (5), 1691-1704, 2017 | 11 | 2017 |
Field theoretical approach for signal detection in nearly continuous positive spectra I: matricial data V Lahoche, D Ousmane Samary, M Tamaazousti Entropy 23 (9), 1132, 2021 | 10 | 2021 |