Mohamed Tamaazousti

58 papers A* 7A 4B 6Misc 1Journal 31Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks. CoRR Alper Kalle, Théo Rudkiewicz, Mohamed Ouerfelli, Mohamed Tamaazousti
2025	—	`conf`	PoTS: Proof-of-Training-Steps for Backdoor Detection in Large Language Models. FLLM Issam Seddik, Sami Souihi, Mohamed Tamaazousti, Sara Tucci Piergiovanni
2025	J	`jnl`	PoTS: Proof-of-Training-Steps for Backdoor Detection in Large Language Models. CoRR Issam Seddik, Sami Souihi, Mohamed Tamaazousti, Sara Tucci Piergiovanni
2024	B	`conf`	Robustness of Tensor Decomposition-Based Neural Network Compression. ICIP Théo Rudkiewicz, Mohamed Ouerfelli, Riccardo Finotello, Zakariya Chaouai, Mohamed Tamaazousti
2024	A*	`conf`	Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution. CVPR Zakariya Chaouai, Mohamed Tamaazousti
2024	J	`jnl`	Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution. CoRR Zakariya Chaouai, Mohamed Tamaazousti
2024	J	`jnl`	Universal Scale Laws for Colors and Patterns in Imagery. CoRR Rémi Michel, Mohamed Tamaazousti
2022	J	`jnl`	Deep multi-task mining Calabi-Yau four-folds. Mach. Learn. Sci. Technol. Harold Erbin, Riccardo Finotello, Robin Schneider, Mohamed Tamaazousti
2022	A	`conf`	EpipolarNVS: leveraging on Epipolar geometry for single-image Novel View Synthesis. BMVC Gaëtan Landreau, Mohamed Tamaazousti
2022	J	`jnl`	EpipolarNVS: leveraging on Epipolar geometry for single-image Novel View Synthesis. CoRR Gaëtan Landreau, Mohamed Tamaazousti
2022	A	`conf`	HSPA: Hough Space Pattern Analysis as an Answer to Local Description Ambiguities for 3D Pose Estimation. BMVC Fabrice Mayran de Chamisso, Boris Meden, Mohamed Tamaazousti
2022	A*	`conf`	Neural Networks Classify through the Class-Wise Means of Their Representations. AAAI Mohamed El Amine Seddik, Mohamed Tamaazousti
2022	—	`conf`	Pruning-Based Topology Refinement of 3D Mesh Using a 2D Alpha Mask. ISVC (1) Gaëtan Landreau, Mohamed Tamaazousti
2022	J	`jnl`	Pruning-based Topology Refinement of 3D Mesh using a 2D Alpha Mask. CoRR Gaëtan Landreau, Mohamed Tamaazousti
2022	A*	`conf`	Random Tensor Theory for Tensor Decomposition. AAAI Mohamed Ouerfelli, Mohamed Tamaazousti, Vincent Rivasseau
2022	A	`conf`	Self-Improving SLAM in Dynamic Environments: Learning When to Mask. BMVC Adrian Bojko, Romain Dupont, Mohamed Tamaazousti, Hervé Le Borgne
2022	J	`jnl`	Self-Improving SLAM in Dynamic Environments: Learning When to Mask. CoRR Adrian Bojko, Romain Dupont, Mohamed Tamaazousti, Hervé Le Borgne
2022	J	`jnl`	Signal Detection in Nearly Continuous Spectra and ℤ2-Symmetry Breaking. Symmetry Vincent Lahoche, Dine Ousmane Samary, Mohamed Tamaazousti
2022	J	`jnl`	The Tensor Track VII: From Quantum Gravity to Artificial Intelligence. CoRR Mohamed Ouerfelli, Vincent Rivasseau, Mohamed Tamaazousti
2022	J	`jnl`	Trustworthiness of Laser-Induced Breakdown Spectroscopy Predictions via Simulation-based Synthetic Data Augmentation and Multitask Learning. CoRR Riccardo Finotello, Daniel L'Hermite, Celine Quéré, Benjamin Rouge, Mohamed Tamaazousti, Jean-Baptiste Sirven
2021	J	`jnl`	A Multiple-View Geometric Model for Specularity Prediction on Non-Uniformly Curved Surfaces. CoRR Alexandre Morgand, Mohamed Tamaazousti, Adrien Bartoli
2021	J	`jnl`	Deep multi-task mining Calabi-Yau four-folds. CoRR Harold Erbin, Riccardo Finotello, Robin Schneider, Mohamed Tamaazousti
2021	J	`jnl`	Field Theoretical Approach for Signal Detection in Nearly Continuous Positive Spectra I: Matricial Data. Entropy Vincent Lahoche, Dine Ousmane Samary, Mohamed Tamaazousti
2021	J	`jnl`	Field Theoretical Approach for Signal Detection in Nearly Continuous Positive Spectra II: Tensorial Data. Entropy Vincent Lahoche, Mohamed Ouerfelli, Dine Ousmane Samary, Mohamed Tamaazousti
2021	J	`jnl`	HyperPCA: a Powerful Tool to Extract Elemental Maps from Noisy Data Obtained in LIBS Mapping of Materials. CoRR Riccardo Finotello, Mohamed Tamaazousti, Jean-Baptiste Sirven
2021	B	`conf`	Optimization-Based Neural Networks Compression. ICIP Younes Tahiri, Mohamed El Amine Seddik, Mohamed Tamaazousti
2021	J	`jnl`	Selective Multiple Power Iteration: from Tensor PCA to gradient-based exploration of landscapes. CoRR Mohamed Ouerfelli, Mohamed Tamaazousti, Vincent Rivasseau
2021	A	`conf`	The Unexpected Deterministic and Universal Behavior of Large Softmax Classifiers. AISTATS Mohamed El Amine Seddik, Cosme Louart, Romain Couillet, Mohamed Tamaazousti
2020	J	`jnl`	Generative collaborative networks for single image super-resolution. Neurocomputing Mohamed El Amine Seddik, Mohamed Tamaazousti, John Lin
2020	J	`jnl`	Learning More Universal Representations for Transfer-Learning. IEEE Trans. Pattern Anal. Mach. Intell. Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot, Mohamed El Amine Seddik, Mohamed Tamaazousti
2020	B	`conf`	Learning to Segment Dynamic Objects using SLAM Outliers. ICPR Adrian Bojko, Romain Dupont, Mohamed Tamaazousti, Hervé Le Borgne
2020	J	`jnl`	Learning to Segment Dynamic Objects using SLAM Outliers. CoRR Adrian Bojko, Romain Dupont, Mohamed Tamaazousti, Hervé Le Borgne
2020	B	`conf`	Lightweight Neural Networks From PCA & LDA Based Distilled Dense Neural Networks. ICIP Mohamed El Amine Seddik, Hassane Essafi, Abdallah Benzine, Mohamed Tamaazousti
2020	A*	`conf`	Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures. ICML Mohamed El Amine Seddik, Cosme Louart, Mohamed Tamaazousti, Romain Couillet
2020	J	`jnl`	Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures. CoRR Mohamed El Amine Seddik, Cosme Louart, Mohamed Tamaazousti, Romain Couillet
2019	—	`conf`	A Kernel Random Matrix-Based Approach for Sparse PCA. ICLR (Poster) Mohamed El Amine Seddik, Mohamed Tamaazousti, Romain Couillet
2019	—	`conf`	Can we Invert a Local Reflectance Model From a Single Specular Highlight with Known Scene Geometry and Camera Pose? Eurographics (Posters) Souheil Hadj Said, Mohamed Tamaazousti, Adrien Bartoli
2019	—	`conf`	Deep Multi-class Adversarial Specularity Removal. SCIA John Lin, Mohamed El Amine Seddik, Mohamed Tamaazousti, Youssef Tamaazousti, Adrien Bartoli
2019	J	`jnl`	Deep Multi-class Adversarial Specularity Removal. CoRR John Lin, Mohamed El Amine Seddik, Mohamed Tamaazousti, Youssef Tamaazousti, Adrien Bartoli
2019	J	`jnl`	Generative Collaborative Networks for Single Image Super-Resolution. CoRR Mohamed El Amine Seddik, Mohamed Tamaazousti, John Lin
2019	Misc	`conf`	Kernel Random Matrices of Large Concentrated Data: the Example of GAN-Generated Images. ICASSP Mohamed El Amine Seddik, Mohamed Tamaazousti, Romain Couillet
2018	J	`jnl`	A Geometric Model for Specularity Prediction on Planar Surfaces with Multiple Light Sources. IEEE Trans. Vis. Comput. Graph. Alexandre Morgand, Mohamed Tamaazousti, Adrien Bartoli
2018	J	`jnl`	Image completion using multispectral imaging. IET Image Process. Frédéric Bousefsaf, Mohamed Tamaazousti, Souheil Hadj Said, Rémi Michel
2018	J	`jnl`	Image-Based Models for Specularity Propagation in Diminished Reality. IEEE Trans. Vis. Comput. Graph. Souheil Hadj Said, Mohamed Tamaazousti, Adrien Bartoli
2017	J	`jnl`	A Multiple-View Geometric Model of Specularities on Non-Planar Shapes with Application to Dynamic Retexturing. IEEE Trans. Vis. Comput. Graph. Alexandre Morgand, Mohamed Tamaazousti, Adrien Bartoli
2017	B	`conf`	A multiple-view geometric model of specularities on non-uniformly curved surfaces. VRST Alexandre Morgand, Mohamed Tamaazousti, Adrien Bartoli
2017	B	`conf`	Color consistency of specular highlights in consumer cameras. VRST John Lin, Mohamed Tamaazousti, Souheil Hadj Said, Alexandre Morgand
2017	J	`jnl`	EasyFlow: increasing the convergence basin of variational image matching with a feature-based cost. IET Comput. Vis. Jim Braux-Zin, Romain Dupont, Adrien Bartoli, Mohamed Tamaazousti
2017	J	`jnl`	Learning More Universal Representations for Transfer-Learning. CoRR Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot, Mohamed El Amine Seddik, Mohamed Tamaazousti
2016	A*	`conf`	An Empirical Model for Specularity Prediction with Application to Dynamic Retexturing. ISMAR Alexandre Morgand, Mohamed Tamaazousti, Adrien Bartoli
2016	J	`jnl`	The constrained SLAM framework for non-instrumented augmented reality - Application to industrial training. Multim. Tools Appl. Mohamed Tamaazousti, Sylvie Naudet-Collette, Vincent Gay-Bellile, Steve Bourgeois, Bassem Besbes, Michel Dhome
2014	J	`jnl`	Caméras virtuelles pour l'étalonnage d'un système de réalité augmentée sur affichage semi-transparent. Traitement du Signal Jim Braux-Zin, Adrien Bartoli, Romain Dupont, Mohamed Tamaazousti
2014	—	`conf`	Constrained PatchMatch for Image Completion. ISVC (1) Guillaume Chican, Mohamed Tamaazousti
2014	—	`conf`	Generic and Real-time Detection of Specular Reflections in Images. VISAPP (1) Alexandre Morgand, Mohamed Tamaazousti
2013	—	`conf`	A Region Driven and Contextualized Pedestrian Detector. VISAPP (1) Thierry Chesnais, Thierry Chateau, Nicolas Allezard, Yoann Dhome, Boris Meden, Mohamed Tamaazousti, Adrien Chan-Hon-Tong
2012	A*	`conf`	An interactive Augmented Reality system: A prototype for industrial maintenance training applications. ISMAR Bassem Besbes, Sylvie Naudet-Collette, Mohamed Tamaazousti, Steve Bourgeois, Vincent Gay-Bellile
2011	A*	`conf`	NonLinear refinement of structure from motion reconstruction by taking advantage of a partial knowledge of the environment. CVPR Mohamed Tamaazousti, Vincent Gay-Bellile, Sylvie Naudet-Collette, Steve Bourgeois, Michel Dhome
2010	—	`conf`	A Vision-Based Hybrid System for Real-time Accurate Localization in an Indoor Environment. VISAPP (1) Vincent Gay-Bellile, Mohamed Tamaazousti, Romain Dupont, Sylvie Naudet-Collette