| 2024 | CVPR | Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution. | Zakariya Chaouai, Mohamed Tamaazousti |
| 2024 | ICIP | Robustness of Tensor Decomposition-Based Neural Network Compression. | Tho Rudkiewicz, Mohamed Ouerfelli, Riccardo Finotello, Zakariya Chaouai, Mohamed Tamaazousti |
| 2022 | AAAI | Random Tensor Theory for Tensor Decomposition. | Mohamed Ouerfelli, Mohamed Tamaazousti, Vincent Rivasseau |
| 2022 | AAAI | Neural Networks Classify through the Class-Wise Means of Their Representations. | Mohamed El Amine Seddik, Mohamed Tamaazousti |
| 2022 | BMVC | Self-Improving SLAM in Dynamic Environments: Learning When to Mask. | Adrian Bojko, Romain Dupont, Mohamed Tamaazousti, Herv Le Borgne |
| 2022 | BMVC | HSPA: Hough Space Pattern Analysis as an Answer to Local Description Ambiguities for 3D Pose Estimation. | Fabrice Mayran de Chamisso, Boris Meden, Mohamed Tamaazousti |
| 2022 | BMVC | EpipolarNVS: leveraging on Epipolar geometry for single-image Novel View Synthesis. | Gatan Landreau, Mohamed Tamaazousti |
| 2022 | ISVC | Pruning-Based Topology Refinement of 3D Mesh Using a 2D Alpha Mask. | Gatan Landreau, Mohamed Tamaazousti |
| 2021 | AISTATS | The Unexpected Deterministic and Universal Behavior of Large Softmax Classifiers. | Mohamed El Amine Seddik, Cosme Louart, Romain Couillet, Mohamed Tamaazousti |
| 2021 | ICIP | Optimization-Based Neural Networks Compression. | Younes Tahiri, Mohamed El Amine Seddik, Mohamed Tamaazousti |
| 2020 | ICIP | Lightweight Neural Networks From PCA & LDA Based Distilled Dense Neural Networks. | Mohamed El Amine Seddik, Hassane Essafi, Abdallah Benzine, Mohamed Tamaazousti |
| 2020 | ICML | 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 |
| 2020 | ICPR | Learning to Segment Dynamic Objects using SLAM Outliers. | Adrian Bojko, Romain Dupont, Mohamed Tamaazousti, Herv Le Borgne |
| 2019 | ICASSP | Kernel Random Matrices of Large Concentrated Data: the Example of GAN-Generated Images. | Mohamed El Amine Seddik, Mohamed Tamaazousti, Romain Couillet |
| 2019 | ICLR | A Kernel Random Matrix-Based Approach for Sparse PCA. | Mohamed El Amine Seddik, Mohamed Tamaazousti, Romain Couillet |
| 2017 | VRST | Color consistency of specular highlights in consumer cameras. | John Lin, Mohamed Tamaazousti, Souheil Hadj Said, Alexandre Morgand |
| 2017 | VRST | A multiple-view geometric model of specularities on non-uniformly curved surfaces. | Alexandre Morgand, Mohamed Tamaazousti, Adrien Bartoli |
| 2016 | ISMAR | An Empirical Model for Specularity Prediction with Application to Dynamic Retexturing. | Alexandre Morgand, Mohamed Tamaazousti, Adrien Bartoli |
| 2014 | ISVC | Constrained PatchMatch for Image Completion. | Guillaume Chican, Mohamed Tamaazousti |
| 2012 | ISMAR | An interactive Augmented Reality system: A prototype for industrial maintenance training applications. | Bassem Besbes, Sylvie Naudet-Collette, Mohamed Tamaazousti, Steve Bourgeois, Vincent Gay-Bellile |
| 2011 | CVPR | 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 |