27 citations
- Centre Inria de l'Université de RennesFR2 papers
- Biologie cellulaire et CancerFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Institut CurieFR1 paper
- Institut national de recherche en sciences et technologies du numériqueFR1 paper
- Sorbonne UniversitéFR1 paper
- Université Paris Sciences et LettresFR1 paper
4 papers
PPanGGOLiN V2: technical enhancement and extended functionalities for prokaryotic pangenome analysis
J{é}r{ô}me Arnoux, Jean Mainguy, Adelme Bazin +4
The exponential growth of genomic data, particularly for microbes, has made pangenomic approaches a gold standard for large-scale comparative genomics. By capturing the full genomi…
Linear Combinations of Patches are Unreasonably Effective for Single-Image Denoising
Sébastien Herbreteau, Charles Kervrann
In the past decade, deep neural networks have revolutionized image denoising in achieving significant accuracy improvements by learning on datasets composed of noisy/clean image pa…
Towards a unified view of unsupervised non-local methods for image denoising: the NL-Ridge approach
Sébastien Herbreteau, Charles Kervrann
We propose a unified view of unsupervised non-local methods for image denoising that linearily combine noisy image patches. The best methods, established in different modeling and…
EM-driven unsupervised learning for efficient motion segmentation
Etienne Meunier, Anaïs Badoual, Patrick Bouthemy
In this paper, we present a CNN-based fully unsupervised method for motion segmentation from optical flow. We assume that the input optical flow can be represented as a piecewise s…