Publications

Computer Vision and Pattern Recognition

Multi-Date Earth Observation NeRF: The Detail Is in the Shadows

We introduce Earth Observation NeRF (EO-NeRF), a new method for digital surface modeling and novel view synthesis from collections of multi-date remote sensing images. In contrast to previous variants of NeRF proposed in the literature for satellite…

Roger Marí, Gabriele Facciolo, Thibaud Ehret

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) - 2023

Image Processing

How to best combine demosaicing and denoising?

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. Indeed, most classic denoising methods handle noisy RGB images, not raw…

Yu Guo, Qiyu Jin, Jean-Michel Morel, Gabriele Facciolo

Inverse Problems and Imaging - 2023

Logic in Computer Science

Infinitary Noetherian Constructions II. Transfinite Words and the Regular Subword Topology

We show that the spaces of transfinite words, namely ordinalindexed words, over a Noetherian space, is also Noetherian, under a natural topology which we call the regular subword topology. We characterize its sobrification and its specialization…

Jean Goubault-Larrecq, Simon Halfon, Aliaume Lopez

Colloquium Mathematicum - 2023

Ocean, Atmosphere

Pre-computation of image features for the classification of dynamic properties in breaking waves

The use of convolutional neural networks (CNNs) in image classification has become the standard method of approaching many computer vision problems. Here we apply pre-trained networks to classify images of non-breaking, plunging and spilling…

Ryan Smith, Frédéric Dias, Gabriele Facciolo, Thomas Brendan Murphy

European Journal of Remote Sensing - 2023

Santé publique et épidémiologie

Identification of rhinitis phenotypes using an unsupervised approach in the Constances cohort

Unsupervised approach has been scarcely used for rhinitis in adults population-based studies. We aimed to identify phenotypes using this the French cohort Constances. Among participants answering 2014 questionnaire, we included those with current i…

Marine Savouré, J. Jean Bousquet, Laurent Orsi, Marcel Goldberg, Bénédicte Leynaert, Mohamed Nadif, Céline Ribet, Marie Zins, Bénédicte Jacquemin, Nadif Rachel

Epidemiology - 2023

Life Sciences

Beneficial Effect of Bee Venom and Its Major Components on Facial Nerve Injury Induced in Mice

Peripheral nerve injury (PNI) is a health problem that affects many people worldwide. This study is the first to evaluate the potential effect of bee venom (BV) and its major components in a model of PNI in the mouse. For that, the BV used in this…

Hafsa Er-Rouassi, Meryem Bakour, Soumaya Touzani, Miguel Vilas-Boas, Soraia Falcão, Catherine Vidal, Badiaa Lyoussi

Biomolecules - 2023

Image Processing

On The Potential of InSAR for Estimating Crude Oil Volume Changes From the Deformation of Storage Tanks

In this article, we examine the possibility of using the interferometric phase on some fixed corners of storage tanks to infer the tank fill ratio. For the study, we use floating roof tanks for which the fill ratio can be inferred from the floating…

Roland Akiki, Carlo de Franchis, Gabriele Facciolo, Raphaël Grandin, Jean-Michel Morel

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium - 2023

Pharmacology

Beneficial Effect of Bee Venom and Its Major Components on Facial Nerve Injury Induced in Mice

Peripheral nerve injury (PNI) is a health problem that affects many people worldwide. This study is the first to evaluate the potential effect of bee venom (BV) and its major components in a model of PNI in the mouse. For that, the BV used in this…

Hafsa Er-Rouassi, Meryem Bakour, Soumaya Touzani, Miguel Vilas-Boas, Soraia Falcão, Catherine Vidal, Badiaa Lyoussi

Biomolecules - 2023

Engineering Sciences

Contribution of AI and machining learning in advanced material characterization

Artificial intelligence (AI) includes many mathematical methods such as optimization algorithms, approximation technics (surface response), etc. Some methods brought more focus especially in machine learning (ML) and deep learning (DL) algorithms…

David Bassir, Haochen Chang, Nadhir Lebaal, Patrice Salzenstein

8th International Conference on Materials Science & Engineering - 2023

Engineering Sciences

Multicriteria optimization of 3D printed wing using PLA reinforced with carbon fiber

David Bassir, Hao Yue, Khaoula Abouzaid, Patrice Salzenstein

AIP Conference Proceedings - 2023