A Vision-Based Hybrid System for Real-time Accurate Localization in an Indoor Environment. - Vincent Gay-Bellile; Mohamed Tamaazousti; Romain Dupont; Sylvie Naudet-Collette (VISAPP (1), 2010)

NonLinear refinement of structure from motion reconstruction by taking advantage of a partial knowledge of the environment. - Mohamed Tamaazousti; Vincent Gay-Bellile; Sylvie Naudet-Collette; Steve Bourgeois; Michel Dhome (CVPR, 2011)

An interactive Augmented Reality system: A prototype for industrial maintenance training applications. - Bassem Besbes; Sylvie Naudet-Collette; Mohamed Tamaazousti; Steve Bourgeois; Vincent Gay-Bellile (ISMAR, 2012)

A Region Driven and Contextualized Pedestrian Detector. - Thierry Chesnais; Thierry Chateau; Nicolas Allezard; Yoann Dhome; Boris Meden; Mohamed Tamaazousti; Adrien Chan-Hon-Tong (VISAPP (1), 2013)

Constrained PatchMatch for Image Completion. - Guillaume Chican; Mohamed Tamaazousti (ISVC (1), 2014)

Generic and Real-time Detection of Specular Reflections in Images. - Alexandre Morgand; Mohamed Tamaazousti (VISAPP (1), 2014)

Caméras virtuelles pour l'étalonnage d'un système de réalité augmentée sur affichage semi-transparent. - Jim Braux-Zin; Adrien Bartoli; Romain Dupont; Mohamed Tamaazousti (Traitement du Signal, 2014)

An Empirical Model for Specularity Prediction with Application to Dynamic Retexturing. - Alexandre Morgand; Mohamed Tamaazousti; Adrien Bartoli (ISMAR, 2016)

The constrained SLAM framework for non-instrumented augmented reality - Application to industrial training. - Mohamed Tamaazousti; Sylvie Naudet-Collette; Vincent Gay-Bellile; Steve Bourgeois; Bassem Besbes; Michel Dhome (Multim. Tools Appl., 2016)

Color consistency of specular highlights in consumer cameras. - John Lin; Mohamed Tamaazousti; Souheil Hadj Said; Alexandre Morgand (VRST, 2017)

A multiple-view geometric model of specularities on non-uniformly curved surfaces. - Alexandre Morgand; Mohamed Tamaazousti; Adrien Bartoli (VRST, 2017)

EasyFlow: increasing the convergence basin of variational image matching with a feature-based cost. - Jim Braux-Zin; Romain Dupont; Adrien Bartoli; Mohamed Tamaazousti (IET Comput. Vis., 2017)

A Multiple-View Geometric Model of Specularities on Non-Planar Shapes with Application to Dynamic Retexturing. - Alexandre Morgand; Mohamed Tamaazousti; Adrien Bartoli (IEEE Trans. Vis. Comput. Graph., 2017)

Image completion using multispectral imaging. - Frédéric Bousefsaf; Mohamed Tamaazousti; Souheil Hadj Said; Rémi Michel (IET Image Process., 2018)

A Geometric Model for Specularity Prediction on Planar Surfaces with Multiple Light Sources. - Alexandre Morgand; Mohamed Tamaazousti; Adrien Bartoli (IEEE Trans. Vis. Comput. Graph., 2018)

Image-Based Models for Specularity Propagation in Diminished Reality. - Souheil Hadj Said; Mohamed Tamaazousti; Adrien Bartoli (IEEE Trans. Vis. Comput. Graph., 2018)

Can we Invert a Local Reflectance Model From a Single Specular Highlight with Known Scene Geometry and Camera Pose? - Souheil Hadj Said; Mohamed Tamaazousti; Adrien Bartoli (Eurographics (Posters), 2019)

Kernel Random Matrices of Large Concentrated Data: the Example of GAN-Generated Images. - Mohamed El Amine Seddik; Mohamed Tamaazousti; Romain Couillet (ICASSP, 2019)

A Kernel Random Matrix-Based Approach for Sparse PCA. - Mohamed El Amine Seddik; Mohamed Tamaazousti; Romain Couillet (ICLR (Poster), 2019)

Deep Multi-class Adversarial Specularity Removal. - John Lin; Mohamed El Amine Seddik; Mohamed Tamaazousti; Youssef Tamaazousti; Adrien Bartoli (SCIA, 2019)

Lightweight Neural Networks From PCA & LDA Based Distilled Dense Neural Networks. - Mohamed El Amine Seddik; Hassane Essafi; Abdallah Benzine; Mohamed Tamaazousti (ICIP, 2020)

Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures. - Mohamed El Amine Seddik; Cosme Louart; Mohamed Tamaazousti; Romain Couillet (ICML, 2020)

Learning to Segment Dynamic Objects using SLAM Outliers. - Adrian Bojko; Romain Dupont; Mohamed Tamaazousti; Hervé Le Borgne (ICPR, 2020)

Generative collaborative networks for single image super-resolution. - Mohamed El Amine Seddik; Mohamed Tamaazousti; John Lin (Neurocomputing, 2020)

Learning More Universal Representations for Transfer-Learning. - Youssef Tamaazousti; Hervé Le Borgne; Céline Hudelot; Mohamed El Amine Seddik; Mohamed Tamaazousti (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

The Unexpected Deterministic and Universal Behavior of Large Softmax Classifiers. - Mohamed El Amine Seddik; Cosme Louart; Romain Couillet; Mohamed Tamaazousti (AISTATS, 2021)

Optimization-Based Neural Networks Compression. - Younes Tahiri; Mohamed El Amine Seddik; Mohamed Tamaazousti (ICIP, 2021)

A Multiple-View Geometric Model for Specularity Prediction on Non-Uniformly Curved Surfaces. - Alexandre Morgand; Mohamed Tamaazousti; Adrien Bartoli (CoRR, 2021)

HyperPCA: a Powerful Tool to Extract Elemental Maps from Noisy Data Obtained in LIBS Mapping of Materials. - Riccardo Finotello; Mohamed Tamaazousti; Jean-Baptiste Sirven (CoRR, 2021)

Selective Multiple Power Iteration: from Tensor PCA to gradient-based exploration of landscapes. - Mohamed Ouerfelli; Mohamed Tamaazousti; Vincent Rivasseau (CoRR, 2021)

Field Theoretical Approach for Signal Detection in Nearly Continuous Positive Spectra II: Tensorial Data. - Vincent Lahoche; Mohamed Ouerfelli; Dine Ousmane Samary; Mohamed Tamaazousti (Entropy, 2021)

Field Theoretical Approach for Signal Detection in Nearly Continuous Positive Spectra I: Matricial Data. - Vincent Lahoche; Dine Ousmane Samary; Mohamed Tamaazousti (Entropy, 2021)

Random Tensor Theory for Tensor Decomposition. - Mohamed Ouerfelli; Mohamed Tamaazousti; Vincent Rivasseau (AAAI, 2022)

Neural Networks Classify through the Class-Wise Means of Their Representations. - Mohamed El Amine Seddik; Mohamed Tamaazousti (AAAI, 2022)

Self-Improving SLAM in Dynamic Environments: Learning When to Mask. - Adrian Bojko; Romain Dupont; Mohamed Tamaazousti; Hervé Le Borgne (BMVC, 2022)

HSPA: Hough Space Pattern Analysis as an Answer to Local Description Ambiguities for 3D Pose Estimation. - Fabrice Mayran de Chamisso; Boris Meden; Mohamed Tamaazousti (BMVC, 2022)

EpipolarNVS: leveraging on Epipolar geometry for single-image Novel View Synthesis. - Gaëtan Landreau; Mohamed Tamaazousti (BMVC, 2022)

Pruning-Based Topology Refinement of 3D Mesh Using a 2D Alpha Mask. - Gaëtan Landreau; Mohamed Tamaazousti (ISVC (1), 2022)

The Tensor Track VII: From Quantum Gravity to Artificial Intelligence. - Mohamed Ouerfelli; Vincent Rivasseau; Mohamed Tamaazousti (CoRR, 2022)

Trustworthiness of Laser-Induced Breakdown Spectroscopy Predictions via Simulation-based Synthetic Data Augmentation and Multitask Learning. - Riccardo Finotello; Daniel L'Hermite; Celine Quéré; Benjamin Rouge; Mohamed Tamaazousti; Jean-Baptiste Sirven (CoRR, 2022)

Deep multi-task mining Calabi-Yau four-folds. - Harold Erbin; Riccardo Finotello; Robin Schneider; Mohamed Tamaazousti (Mach. Learn. Sci. Technol., 2022)

Signal Detection in Nearly Continuous Spectra and ℤ2-Symmetry Breaking. - Vincent Lahoche; Dine Ousmane Samary; Mohamed Tamaazousti (Symmetry, 2022)

Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution. - Zakariya Chaouai; Mohamed Tamaazousti (CVPR, 2024)

Robustness of Tensor Decomposition-Based Neural Network Compression. - Théo Rudkiewicz; Mohamed Ouerfelli; Riccardo Finotello; Zakariya Chaouai; Mohamed Tamaazousti (ICIP, 2024)

Universal Scale Laws for Colors and Patterns in Imagery. - Rémi Michel; Mohamed Tamaazousti (CoRR, 2024)