Search Results for author: Virginie Uhlmann

Found 7 papers, 1 papers with code

Noise contrastive estimation with soft targets for conditional models

no code implementations22 Apr 2024 Johannes Hugger, Virginie Uhlmann

Our new soft target InfoNCE loss is conceptually simple, efficient to compute, and can be derived within the framework of noise contrastive estimation.

Made to measure: an introduction to quantification in microscopy data

no code implementations3 Feb 2023 Siân Culley, Alicia Cuber Caballero, Jemima J Burden, Virginie Uhlmann

Acknowledging that what makes a measurement "good" is ultimately down to the biological question being investigated, this review aims at providing readers with a toolkit to challenge how they quantify their own data and be critical of conclusions drawn from quantitative bioimage analysis experiments.

Deep learning for bioimage analysis

no code implementations6 Jul 2021 Adrien Hallou, Hannah Yevick, Bianca Dumitrascu, Virginie Uhlmann

Deep learning has transformed the way large and complex image datasets can be processed, reshaping what is possible in bioimage analysis.

aura-net : robust segmentation of phase-contrast microscopy images with few annotations

1 code implementation2 Feb 2021 Ethan Cohen, Virginie Uhlmann

We present AURA-net, a convolutional neural network (CNN) for the segmentation of phase-contrast microscopy images.

Cell Segmentation Segmentation +1

Diverse M-Best Solutions by Dynamic Programming

no code implementations15 Mar 2018 Carsten Haubold, Virginie Uhlmann, Michael Unser, Fred A. Hamprecht

Many computer vision pipelines involve dynamic programming primitives such as finding a shortest path or the minimum energy solution in a tree-shaped probabilistic graphical model.

object-detection Object Detection

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