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Affichage des publications 581 à 590 sur 1099 au total

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Forgery Detection by Internal Positional Learning of Demosaicing Traces

We propose 4Point (Forensics with Positional Internal Training), an unsupervised neural network trained to assess the consistency of the image colour mosaic to find forgeries. Positional learning trains the model to learn the modulo-2 position of…

Quentin Bammey, Rafael Grompone von Gioi, Jean-Michel Morel

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) -

Image Processing

The Impact of JPEG Compression on Prior Image Noise

JPEG compression is widely used to store digital images and extensive studies analysed its impact on the image quality; in particular the quantization noise and artefacts created by JPEG. Nevertheless, there is little work on the impact of JPEG…

Marina Gardella, Tina Nikoukhah, Yanhao Li, Quentin Bammey

2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022) -

Machine Learning

Robust Kernel Density Estimation with Median-of-Means principle

In this paper, we introduce a robust nonparametric density estimator combining the popular Kernel Density Estimation method and the Median-of-Means principle (MoM-KDE). This estimator is shown to achieve robustness to any kind of anomalous data,…

Pierre Humbert, Batiste Le Bars, Ludovic Minvielle

ICML 2022 - The 39th International Conference on Machine Learning (ICML) -

Signal and Image processing

Supervised change-point detection with dimension reduction, applied to physiological signals

This paper proposes an automatic method to calibrate change point detection algorithms for high-dimensional time series. Our procedure builds on the ability of an expert (e.g. a medical researcher) to produce approximate segmentation estimates,…

Charles Truong, Laurent Oudre

NeurIPS 2022 Workshop on Learning from Time Series for Health -

Mathematics

Looking for invariance in Locally Linear Embedding

In this poster, we review the Locally Linear Embedding method and look for new invariance patterns with the hope to explain better the properties of the embeddings constructed.

Elodie Maignant, Xavier Pennec, Alain Trouvé

Curves and Surfaces 2022 -

Graphics

Scaling Painting Style Transfer

Neural style transfer is a deep learning technique that produces an unprecedentedly rich style transfer from a style image to a content image and is particularly impressive when it comes to transferring style from a painting to an image. It was…

Bruno Galerne, Lara Raad, José Lezama, Jean-Michel Morel

Machine Learning

Can Push-forward Generative Models Fit Multimodal Distributions?

Many generative models synthesize data by transforming a standard Gaussian random variable using a deterministic neural network. Among these models are the Variational Autoencoders and the Generative Adversarial Networks. In this work, we call them …

Antoine Salmona, Valentin de Bortoli, Julie Delon, Agnès Desolneux

NeurIPS 2022, The Thirty-sixth Annual Conference on Neural Information Processing Systems -

Human health and pathology

Walking Speed at the Acute and Subacute Stroke Stage: A Descriptive Meta-Analysis.

Gait disorders are one of the leading patient complaints at the sub-acute stroke stage (SSS) and a main determinant of disability. Walking speed (WS) is a major vital and functional index, and the Ten-Meter Walk Test is considered the gold standard…

Sophie Tasseel-Ponche, Arnaud Delafontaine, Olivier Godefroy, Alain P. Yelnik, Pierre-Louis Doutrellot, Charline Duchossoy, Marie Hyra, Thibaud Sader, Momar Diouf

Frontiers in Neurology -