30 citations
- Centre National de la Recherche ScientifiqueFR10 papers
- Université Paris-SaclayFR10 papers
- École Normale Supérieure - PSLFR4 papers
- Université Paris CitéFR4 papers
- École Normale Supérieure Paris-SaclayFR3 papers
- Inner Mongolia UniversityCN3 papers
- CEA Paris-SaclayFR2 papers
- École Polytechnique Fédérale de LausanneCH2 papers
- Laboratoire de Biologie et Pharmacologie AppliquéeFR2 papers
- Laboratoire Interdisciplinaire des Sciences du NumériqueFR2 papers
- Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et EnergétiqueFR2 papers
- Laboratoire Traitement et Communication de l’InformationFR2 papers
11 papers · 1 filter
Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering
Imed Keraghel, Mohamed Nadif
Recent advances in machine learning, particularly Large Language Models (LLMs) such as BERT and GPT, provide rich contextual embeddings that improve text representation. However, c…
A Pre-Trained Graph-Based Model for Adaptive Sequencing of Educational Documents
Jean Vassoyan, Anan Schütt, Jill-Jênn Vie +3
Massive Open Online Courses (MOOCs) have greatly contributed to making education more accessible. However, many MOOCs maintain a rigid, one-size-fits-all structure that fails to ad…
Evolution of Detection Performance throughout the Online Lifespan of Synthetic Images
Dimitrios Karageorgiou, Quentin Bammey, Valentin Porcellini +3
Synthetic images disseminated online significantly differ from those used during the training and evaluation of the state-of-the-art detectors. In this work, we analyze the perform…
How to Best Combine Demosaicing and Denoising?
Yu Guo, Qiyu Jin, Jean-Michel Morel +1
Image demosaicing and denoising play a critical role in the raw imaging pipeline. These processes have often been treated as independent, without considering their interactions. In…
The graded group action framework for sub-riemannian orbit models in shape spaces
Thomas Pierron, Alain Trouvé
In the standard orbit model on shape analysis, a group of diffeomorphism on the ambient space equipped with a right invariant sub-riemannian metric acts on a space of shapes and in…
Fast, nonlocal and neural: a lightweight high quality solution to image denoising
Yu Guo, Axel Davy, Gabriele Facciolo +2
With the widespread application of convolutional neural networks (CNNs), the traditional model based denoising algorithms are now outperformed. However, CNNs face two problems. Fir…