Publications

Neural and Evolutionary Computing

A CNN cloud detector for panchromatic satellite images

Cloud detection is a crucial step for automatic satellite image analysis. Some cloud detection methods exploit specially designed spectral bands, other base the detection on time series, or on the inter-band delay in push-broom satellites…

Mariano Rodríguez, Jérémy Anger, Carlo de Franchis, Charles Hessel, Gabriele Facciolo, Rafael Grompone von Gioi, Jean-Michel Morel

IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium - 2021

Numerical Analysis

Compromise between precision and performance in high performance computing.

Floating-point numbers represent only a subset of real numbers. As such, floating-point arithmetic introduces approximations that can compound and have a significant impact on numerical simulations. We introduce a new way to estimate and localize…

Nestor Demeure

Microelectronics

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

The purpose of this work is the optimal conception of a wing built using fused deposition modeling (FDM),

David Hicham Bassir, Yue Hao, Khaoula Abouzaid, Patrice Salzenstein

International Conference on Numerical Analysis and Applied Mathematics (ICNAAM) 2021 - 2021

Signal and Image processing

Video denoising by combining patch search and CNNs

Non-local patch based methods were until recently the state of the art for image denoising but are now outperformed by CNNs. In video denoising however, they are still competitive with CNNs, as they can effectively exploit the video temporal…

Axel Davy, Thibaud Ehret, Jean-Michel Morel, Pablo Arias, Gabriele Facciolo

Journal of Mathematical Imaging and Vision - 2021

Santé publique et épidémiologie

Computing the daily reproduction number of COVID-19 by inverting the renewal equation using a variational technique

Significance Based on a signal-processing approach, we propose a method to compute the reproduction number R t , the transmission potential of an epidemic over time. R t is estimated by minimizing a functional that enforces: 1) the ability to…

Luis Alvarez, Miguel Colom, Jean-David Morel, Jean-Michel Morel

Proceedings of the National Academy of Sciences of the United States of America - 2021

Image Processing

ZERO: a Local JPEG Grid Origin Detector Based on the Number of DCT Zeros and its Applications in Image Forensics

JPEG compression is a commonly used method of lossy compression for digital images. The degree of compression can be adjusted by the choice of a quality factor QF. Each software associates this value to a quantization table, which is a 8 × 8 matrix…

Tina Nikoukhah, Jérémy Anger, Miguel Colom, Jean-Michel Morel, Rafael Grompone von Gioi

Image Processing On Line - 2021

Computer Vision and Pattern Recognition

Reproducible Research in Pattern Recognition: Third International Workshop, RRPR 2021

Bertrand Kerautret, Miguel Colom, Adrien Krähenbühl, Daniel Lopresti, Pascal Monasse, Hugues Talbot

Mathematics

Piecewise deterministic Markov processes and their invariant measures

Piecewise Deterministic Markov Processes (PDMPs) are studied in a general framework. First, different constructions are proven to be equivalent. Second, we introduce a coupling between two PDMPs following the same differential flow which implies…

Alain Durmus, Arnaud Guillin, Pierre Monmarché

Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques - 2021

Machine Learning

How to Leverage a Multi-layered Transformer Language Model for Text Clustering: an Ensemble Approach

Pre-trained Transformer-based word embeddings are now widely used in text mining where they are known to significantly improve supervised tasks such as text classification and named entity recognition and question answering. Since the Transformer…

Mira Ait-Saada, François Role, Mohamed Nadif

CIKM '21: The 30th ACM International Conference on Information and Knowledge Management - 2021

Signal and Image processing

A Contrario Oil Tank Detection with Patch Match Completion

The energy sector is a key industry in the global economy and monitoring oil storage provides valuable insights into the economic state of a country. Our aim is to detect oil tank farms as accurately as possible using Sentinel-2 images. An a…

Antoine Tadros, Sebastien Drouyer, Rafael Grompone von Gioi

IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium - 2021