Publications

Probability

Determinantal point processes for image processing

Determinantal point processes (DPPs) are probabilistic models of configurations that favour diversity or repulsion. They have recently gained influence in the machine learning community, mainly because of their ability to elegantly and efficiently…

Claire Launay, Agnès Desolneux, Bruno Galerne

SIAM Journal on Imaging Sciences - 2020

Image Processing

Depth Map Quality Evaluation for Photographic Applications

As depth imaging is integrated into more and more consumer devices, manufacturers have to tackle new challenges. Applications such as computational bokeh and augmented reality require dense and precisely segmented depth maps to achieve good results…

Eloi Zalczer, François-Xavier Thomas, Laurent Chanas, Gabriele Facciolo, Frédéric Guichard

Electronic Imaging - 2020

Signal and Image processing

Low Rank Activations for Tensor-Based Convolutional Sparse Coding

Pierre Humbert, Julien Audiffren, Laurent Oudre, Nicolas Vayatis

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - 2020

Engineering Sciences

Personalized Template-Based Step Detection From Inertial Measurement Units Signals in Multiple Sclerosis

Aliénor Vienne-Jumeau, Laurent Oudre, Albane Moreau, Flavien Quijoux, Sébastien Edmond, Mélanie Dandrieux, Eva Legendre, Pierre Paul Vidal, Damien Ricard

Frontiers in Neurology - 2020

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

Signal and Image processing

Tout ce que les algorithmes de traitement d’images font pour nous

La photographie est devenue une pratique massivement répandue. Grâce à l'arrivée des smartphones, il est devenu très facile de faire une belle photo et de la partager à des milliers de personnes en quelques secondes sur les réseaux sociaux…

Tina Nikoukhah

Interstices - 2020

Sound

Débruitage vidéo et applications

This thesis studies the problem of video denoising. In the first part we focus on patch-based video denoising methods. We study in details VBM3D, a popular video denoising method, to understand the mechanisms that made its success. We also present a…

Thibaud Ehret

Life Sciences

Motor style at rest and during locomotion in humans

Juan Mantilla, Danping Wang, Ioannis Bargiotas, Junhong Wang, Jiuwen Cao, Laurent Oudre, Pierre-Paul Vidal

Journal of Neurophysiology - 2020

Analysis of PDEs

Lyapunov Functions, Identities and the Cauchy Problem for the Hele–Shaw Equation

This article is devoted to the study of the Hele-Shaw equation. We introduce an approach inspired by the water-wave theory. Starting from a reduction to the boundary, introducing the Dirichlet to Neumann operator and exploiting various cancellations…

Thomas Alazard, Nicolas Meunier, Didier Smets

Communications in Mathematical Physics - 2020