Publications

Mathematics

Redundancy in Gaussian random fields

In this paper, we introduce a notion of spatial redundancy in Gaussian random fields. This study is motivated by applications of the a contrario method in image processing. We define similarity functions on local windows in random fields over…

Valentin de Bortoli, Agnès Desolneux, Bruno Galerne, Arthur Leclaire

ESAIM: Probability and Statistics - 2020

Biomechanics

Center of pressure displacement characteristics differentiate fall risk in older people: A systematic review with meta-analysis

Falling is the second most prevalent cause of accidental death in the world. Currently available clinical tests to assess balance in older people are insufficiently sensitive to screen for fall risk in this population. Laboratory tests that record…

Flavien Quijoux, Aliénor Vienne-Jumeau, François Bertin-Hugault, Philippe Zawieja, Pierre-Paul Vidal, Damien Ricard

Ageing Research Reviews - ARR - 2020

Signal and Image processing

Local JPEG Grid Detector via Blocking Artifacts, a Forgery Detection Tool

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

Image Processing On Line - 2020

Signal and Image processing

Using the IPOL Journal for Online Reproducible Research in Remote Sensing

Reproducible research is needed to ensure that scientific results in the literature are reliable, unbiased, and verifiable by others. The journal Image Processing On Line (IPOL) publishes reproducible articles since 2010. This means publishing an…

Miguel Colom, Tristan Dagobert, Carlo de Franchis, Rafael Grompone Von Gioi, Charles Hessel, Jean-Michel Morel

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing - 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

Engineering Sciences

Non-Linear Template-Based Approach for the Study of Locomotion

Tristan Dot, Flavien Quijoux, Laurent Oudre, Aliénor Vienne-Jumeau, Albane Moreau, Pierre-Paul Vidal, Damien Ricard

Sensors - 2020

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

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