Publications

General Mathematics

Une exploration du déflouage d’images et vidéos : les détails qui font la différence

This thesis studies the problem of image and video blur and its removal.In the first part we focus on the restoration of image bursts, in particular for deblurring and super-resolution.First we study Fourier Burst Accumulation, which efficiently…

Jérémy Anger

Mathematical Physics

Développement de méthodes mathématiques pour l'analyse de trajectoires conformationnelles en dynamique moléculaire

Molecular dynamics (MD) simulations can produce nowadays huge amount of data using high-throughput CPU/GPU clusters. However, in addition not to consider the kinetic aspect of the data, the routine use of MD simulations for a study of real…

Sharad Goulam Abas

Signal and Image processing

A Review of an Old Dilemma: Demosaicking First, or Denoising First?

Image denoising and demosaicking are the most important early stages in digital camera pipelines. They constitute a severely ill-posed problem that aims at reconstructing a full color image from a noisy color filter array (CFA) image. In most of the…

Qiyu Jin, Gabriele Facciolo, Jean-Michel Morel

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) - 2020

Other Statistics

Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis

Recently, there has been growing interest in the analysis of spectrograms of ElectroEncephaloGram (EEG), particularly to study the neural correlates of (un)-consciousness during General Anesthesia (GA). Indeed, it has been shown that order three…

Pierre Humbert, Laurent Oudre, Nivolas Vayatis, Julien Audiffren

Statistics

Statistiques non locales dans les images : modélisation, estimation et échantillonnage

In this thesis we study two non-localstatistics in images from a probabilistic point of view: spatialredundancy and convolutional neural network features. Moreprecisely, we are interested in the estimation and detection ofspatial redundancy in…

Valentin de Bortoli

General Mathematics

Analyse de données géométriques, au delà des convolutions

Geometric data analysis, beyond convolutionsTo model interactions between points, a simple option is to rely on weighted sums known as convolutions. Over the last decade, this operation has become a building block for deep learning architectures…

Jean Feydy

Life Sciences

Quantitative assessment of consciousness during anesthesia without EEG data

Clément Dubost, Laurent Oudre, Christophe Labourdette, Nicolas Vayatis, Pierre-Paul Vidal

Journal of Clinical Monitoring and Computing - 2020

General Mathematics

Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse Coding

The analysis of the Nystagmus waveforms from eye-tracking records is crucial for the clinicial interpretation of this pathological movement. A major issue to automatize this analysis is the presence of natural eye movements and eye blink artefacts…

Clément Lalanne, Maxence Rateaux, Laurent Oudre, Matthieu Robert, Thomas Moreau

EMBC 2020 - 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society - 2020

General Mathematics

Classification d'événements à partir de capteurs sols - Application au suivi de personnes fragiles.

This thesis addresses the subject of event detection in temporal signals for elderly monitoring by the use of a floor pressure sensor. We first show that most proposed systems do not meet main practical issues and that floor systems constitute…

Ludovic Minvielle

General Mathematics

Comparaison d'images invariantes affines

Image comparison, which consists in deciding whether or not several images represent some common or similar objects, is a problem recognized as difficult, especially because of the viewpoint changes between images. The apparent deformations of…

Mariano Rodriguez