activity
20172023
most citedHyperPCA: a Powerful Tool to Extract Elemental Maps from Noisy Data Obtained in LIBS Mapping of Materials

20 citations · 133 across the 20 of their papers we have counts for

collaborators

21 papers

hep-th2023★ 11 cited

Functional renormalization group for multilinear disordered Langevin dynamics II: Revisiting the spin dynamics for Wigner and Wishart ensembles

Vincent Lahoche, Dine Ousmane Samary, Mohamed Tamaazousti

In this paper, we investigate the large-time behavior for a slightly modified version of the standard p=2 soft spins dynamics model, including a quartic or higher potential. The eq…

cs.CV2022

EpipolarNVS: leveraging on Epipolar geometry for single-image Novel View Synthesis

Gaétan Landreau, Mohamed Tamaazousti

Novel-view synthesis (NVS) can be tackled through different approaches, depending on the general setting: a single source image to a short video sequence, exact or noisy camera pos…

cs.CV2022

Pruning-based Topology Refinement of 3D Mesh using a 2D Alpha Mask

Gaëtan Landreau, Mohamed Tamaazousti

Image-based 3D reconstruction has increasingly stunning results over the past few years with the latest improvements in computer vision and graphics. Geometry and topology are two…

physics.app-ph2022★ 4 cited

Trustworthiness of Laser-Induced Breakdown Spectroscopy Predictions via Simulation-based Synthetic Data Augmentation and Multitask Learning

Riccardo Finotello, Daniel L'Hermite, Celine Quéré +3

We consider quantitative analyses of spectral data using laser-induced breakdown spectroscopy. We address the small size of training data available, and the validation of the predi…

cs.CV2022

Self-Improving SLAM in Dynamic Environments: Learning When to Mask

Adrian Bojko, Romain Dupont, Mohamed Tamaazousti +1

Visual SLAM - Simultaneous Localization and Mapping - in dynamic environments typically relies on identifying and masking image features on moving objects to prevent them from nega…

hep-th2022★ 2 cited

The Tensor Track VII: From Quantum Gravity to Artificial Intelligence

Mohamed Ouerfelli, Vincent Rivasseau, Mohamed Tamaazousti

Assuming some familiarity with quantum field theory and with the tensor track approach that one of us presented in the previous series Tensor Track I to VI, we provide, as usual, t…