output
20162026
most citedEM-driven unsupervised learning for efficient motion segmentation

27 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

5 papers

q-bio.QM2026

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…

cs.CV2022★ 8 cited

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…

eess.IV2022★ 7 cited

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…

cs.CV2022★ 27 cited

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…

q-bio.GN2016

Effects of initial telomere length distribution on senescence onset and heterogeneity

Sarah Eugène, Thibault Bourgeron, Zhou Xu

Replicative senescence, induced by telomere shortening, exhibits considerable asynchrony and heterogeneity, the origins of which remain unclear. Here, we formally study how telomer…