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ORCIDMohamed Tamaazousti
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2020 – today
- 2024
[c25]Zakariya Chaouai, Mohamed Tamaazousti:
Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution. CVPR 2024: 9059-9068- [i16]Zakariya Chaouai, Mohamed Tamaazousti:
Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution. CoRR abs/2405.14934 (2024) - [i15]Rémi Michel, Mohamed Tamaazousti:
Universal Scale Laws for Colors and Patterns in Imagery. CoRR abs/2406.08149 (2024) - 2022
- [j13]Harold Erbin
, Riccardo Finotello, Robin Schneider, Mohamed Tamaazousti:
Deep multi-task mining Calabi-Yau four-folds. Mach. Learn. Sci. Technol. 3(1): 15006 (2022) - [j12]Vincent Lahoche, Dine Ousmane Samary, Mohamed Tamaazousti:
Signal Detection in Nearly Continuous Spectra and ℤ2-Symmetry Breaking. Symmetry 14(3): 486 (2022) - [c24]Mohamed Ouerfelli, Mohamed Tamaazousti, Vincent Rivasseau:
Random Tensor Theory for Tensor Decomposition. AAAI 2022: 7913-7921 - [c23]Mohamed El Amine Seddik, Mohamed Tamaazousti:
Neural Networks Classify through the Class-Wise Means of Their Representations. AAAI 2022: 8204-8211 - [c22]Gaëtan Landreau, Mohamed Tamaazousti:
EpipolarNVS: leveraging on Epipolar geometry for single-image Novel View Synthesis. BMVC 2022: 30 - [c21]Fabrice Mayran de Chamisso, Boris Meden, Mohamed Tamaazousti:
HSPA: Hough Space Pattern Analysis as an Answer to Local Description Ambiguities for 3D Pose Estimation. BMVC 2022: 411 - [c20]Adrian Bojko, Romain Dupont, Mohamed Tamaazousti, Hervé Le Borgne:
Self-Improving SLAM in Dynamic Environments: Learning When to Mask. BMVC 2022: 654 - [c19]Gaëtan Landreau, Mohamed Tamaazousti:
Pruning-Based Topology Refinement of 3D Mesh Using a 2D Alpha Mask. ISVC (1) 2022: 404-415 - [i14]Mohamed Ouerfelli, Vincent Rivasseau, Mohamed Tamaazousti:
The Tensor Track VII: From Quantum Gravity to Artificial Intelligence. CoRR abs/2205.10326 (2022) - [i13]Riccardo Finotello, Daniel L'Hermite, Celine Quéré, Benjamin Rouge, Mohamed Tamaazousti, Jean-Baptiste Sirven:
Trustworthiness of Laser-Induced Breakdown Spectroscopy Predictions via Simulation-based Synthetic Data Augmentation and Multitask Learning. CoRR abs/2210.03762 (2022) - [i12]Adrian Bojko, Romain Dupont, Mohamed Tamaazousti, Hervé Le Borgne:
Self-Improving SLAM in Dynamic Environments: Learning When to Mask. CoRR abs/2210.08350 (2022) - [i11]Gaëtan Landreau, Mohamed Tamaazousti:
Pruning-based Topology Refinement of 3D Mesh using a 2D Alpha Mask. CoRR abs/2210.09148 (2022) - [i10]Gaëtan Landreau, Mohamed Tamaazousti:
EpipolarNVS: leveraging on Epipolar geometry for single-image Novel View Synthesis. CoRR abs/2210.13077 (2022) - 2021
- [j11]Vincent Lahoche, Mohamed Ouerfelli, Dine Ousmane Samary, Mohamed Tamaazousti:
Field Theoretical Approach for Signal Detection in Nearly Continuous Positive Spectra II: Tensorial Data. Entropy 23(7): 795 (2021) - [j10]Vincent Lahoche, Dine Ousmane Samary, Mohamed Tamaazousti:
Field Theoretical Approach for Signal Detection in Nearly Continuous Positive Spectra I: Matricial Data. Entropy 23(9): 1132 (2021) - [c18]Mohamed El Amine Seddik, Cosme Louart, Romain Couillet, Mohamed Tamaazousti:
The Unexpected Deterministic and Universal Behavior of Large Softmax Classifiers. AISTATS 2021: 1045-1053 - [c17]Younes Tahiri, Mohamed El Amine Seddik, Mohamed Tamaazousti:
Optimization-Based Neural Networks Compression. ICIP 2021: 3512-3516 - [i9]Harold Erbin, Riccardo Finotello, Robin Schneider, Mohamed Tamaazousti:
Deep multi-task mining Calabi-Yau four-folds. CoRR abs/2108.02221 (2021) - [i8]Alexandre Morgand, Mohamed Tamaazousti, Adrien Bartoli:
A Multiple-View Geometric Model for Specularity Prediction on Non-Uniformly Curved Surfaces. CoRR abs/2108.09378 (2021) - [i7]Riccardo Finotello, Mohamed Tamaazousti, Jean-Baptiste Sirven:
HyperPCA: a Powerful Tool to Extract Elemental Maps from Noisy Data Obtained in LIBS Mapping of Materials. CoRR abs/2111.15187 (2021) - [i6]Mohamed Ouerfelli, Mohamed Tamaazousti, Vincent Rivasseau:
Selective Multiple Power Iteration: from Tensor PCA to gradient-based exploration of landscapes. CoRR abs/2112.12306 (2021) - 2020
- [j9]Mohamed El Amine Seddik, Mohamed Tamaazousti, John Lin:
Generative collaborative networks for single image super-resolution. Neurocomputing 398: 293-303 (2020) - [j8]Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot, Mohamed El Amine Seddik, Mohamed Tamaazousti:
Learning More Universal Representations for Transfer-Learning. IEEE Trans. Pattern Anal. Mach. Intell. 42(9): 2212-2224 (2020) - [c16]Mohamed El Amine Seddik, Hassane Essafi, Abdallah Benzine, Mohamed Tamaazousti:
Lightweight Neural Networks From PCA & LDA Based Distilled Dense Neural Networks. ICIP 2020: 3060-3064 - [c15]Mohamed El Amine Seddik, Cosme Louart, Mohamed Tamaazousti, Romain Couillet:
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures. ICML 2020: 8573-8582 - [c14]Adrian Bojko, Romain Dupont, Mohamed Tamaazousti, Hervé Le Borgne:
Learning to Segment Dynamic Objects using SLAM Outliers. ICPR 2020: 9780-9787 - [i5]Mohamed El Amine Seddik, Cosme Louart, Mohamed Tamaazousti, Romain Couillet:
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures. CoRR abs/2001.08370 (2020) - [i4]Adrian Bojko, Romain Dupont, Mohamed Tamaazousti, Hervé Le Borgne:
Learning to Segment Dynamic Objects using SLAM Outliers. CoRR abs/2011.06259 (2020)
2010 – 2019
- 2019
- [c13]Souheil Hadj Said, Mohamed Tamaazousti, Adrien Bartoli:
Can we Invert a Local Reflectance Model From a Single Specular Highlight with Known Scene Geometry and Camera Pose? Eurographics (Posters) 2019: 15-16 - [c12]Mohamed El Amine Seddik, Mohamed Tamaazousti, Romain Couillet:
Kernel Random Matrices of Large Concentrated Data: the Example of GAN-Generated Images. ICASSP 2019: 7480-7484 - [c11]Mohamed El Amine Seddik, Mohamed Tamaazousti, Romain Couillet:
A Kernel Random Matrix-Based Approach for Sparse PCA. ICLR (Poster) 2019 - [c10]John Lin, Mohamed El Amine Seddik, Mohamed Tamaazousti, Youssef Tamaazousti, Adrien Bartoli:
Deep Multi-class Adversarial Specularity Removal. SCIA 2019: 3-15 - [i3]Mohamed El Amine Seddik, Mohamed Tamaazousti, John Lin:
Generative Collaborative Networks for Single Image Super-Resolution. CoRR abs/1902.10467 (2019) - [i2]John Lin, Mohamed El Amine Seddik, Mohamed Tamaazousti, Youssef Tamaazousti, Adrien Bartoli:
Deep Multi-class Adversarial Specularity Removal. CoRR abs/1904.02672 (2019) - 2018
- [j7]Frédéric Bousefsaf, Mohamed Tamaazousti, Souheil Hadj Said, Rémi Michel:
Image completion using multispectral imaging. IET Image Process. 12(7): 1164-1174 (2018) - [j6]Alexandre Morgand, Mohamed Tamaazousti, Adrien Bartoli:
A Geometric Model for Specularity Prediction on Planar Surfaces with Multiple Light Sources. IEEE Trans. Vis. Comput. Graph. 24(5): 1691-1704 (2018) - [j5]Souheil Hadj Said, Mohamed Tamaazousti, Adrien Bartoli:
Image-Based Models for Specularity Propagation in Diminished Reality. IEEE Trans. Vis. Comput. Graph. 24(7): 2140-2152 (2018) - 2017
- [j4]Jim Braux-Zin, Romain Dupont, Adrien Bartoli, Mohamed Tamaazousti:
EasyFlow: increasing the convergence basin of variational image matching with a feature-based cost. IET Comput. Vis. 11(2): 122-134 (2017) - [j3]Alexandre Morgand, Mohamed Tamaazousti, Adrien Bartoli:
A Multiple-View Geometric Model of Specularities on Non-Planar Shapes with Application to Dynamic Retexturing. IEEE Trans. Vis. Comput. Graph. 23(11): 2485-2493 (2017) - [c9]Alexandre Morgand, Mohamed Tamaazousti, Adrien Bartoli:
A multiple-view geometric model of specularities on non-uniformly curved surfaces. VRST 2017: 43:1-43:2 - [c8]John Lin, Mohamed Tamaazousti, Souheil Hadj Said, Alexandre Morgand:
Color consistency of specular highlights in consumer cameras. VRST 2017: 52:1-52:2 - [i1]Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot, Mohamed El Amine Seddik, Mohamed Tamaazousti:
Learning More Universal Representations for Transfer-Learning. CoRR abs/1712.09708 (2017) - 2016
- [j2]Mohamed Tamaazousti, Sylvie Naudet-Collette, Vincent Gay-Bellile, Steve Bourgeois, Bassem Besbes, Michel Dhome:
The constrained SLAM framework for non-instrumented augmented reality - Application to industrial training. Multim. Tools Appl. 75(16): 9511-9547 (2016) - [c7]Alexandre Morgand, Mohamed Tamaazousti, Adrien Bartoli:
An Empirical Model for Specularity Prediction with Application to Dynamic Retexturing. ISMAR 2016: 44-53 - 2014
- [j1]Jim Braux-Zin, Adrien Bartoli, Romain Dupont, Mohamed Tamaazousti:
Caméras virtuelles pour l'étalonnage d'un système de réalité augmentée sur affichage semi-transparent. Traitement du Signal 31(1-2): 175-195 (2014) - [c6]Guillaume Chican, Mohamed Tamaazousti:
Constrained PatchMatch for Image Completion. ISVC (1) 2014: 560-568 - [c5]Alexandre Morgand, Mohamed Tamaazousti:
Generic and Real-time Detection of Specular Reflections in Images. VISAPP (1) 2014: 274-282 - 2013
- [c4]Thierry Chesnais, Thierry Chateau, Nicolas Allezard, Yoann Dhome, Boris Meden, Mohamed Tamaazousti, Adrien Chan-Hon-Tong:
A Region Driven and Contextualized Pedestrian Detector. VISAPP (1) 2013: 796-799 - 2012
- [c3]Bassem Besbes, Sylvie Naudet-Collette, Mohamed Tamaazousti, Steve Bourgeois, Vincent Gay-Bellile:
An interactive Augmented Reality system: A prototype for industrial maintenance training applications. ISMAR 2012: 269-270 - 2011
- [c2]Mohamed Tamaazousti, Vincent Gay-Bellile, Sylvie Naudet-Collette, Steve Bourgeois, Michel Dhome:
NonLinear refinement of structure from motion reconstruction by taking advantage of a partial knowledge of the environment. CVPR 2011: 3073-3080 - 2010
- [c1]Vincent Gay-Bellile, Mohamed Tamaazousti, Romain Dupont, Sylvie Naudet-Collette:
A Vision-Based Hybrid System for Real-time Accurate Localization in an Indoor Environment. VISAPP (1) 2010: 216-222
Coauthor Index
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last updated on 2024-10-07 22:11 CEST by the dblp team
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