46 citations · 73 across the 7 of their papers we have counts for
5 papers · 1 filter
A Contrario multi-scale anomaly detection method for industrial quality inspection
Matías Tailanian, Pablo Musé, Álvaro Pardo
Anomalies can be defined as any non-random structure which deviates from normality. Anomaly detection methods reported in the literature are numerous and diverse, as what is consid…
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning
José Lezama, Qiang Qiu, Pablo Musé +1
Deep neural networks trained using a softmax layer at the top and the cross-entropy loss are ubiquitous tools for image classification. Yet, this does not naturally enforce intra-c…
A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, with an Application to HDR Imaging
Cecilia Aguerrebere, Andrés Almansa, Julie Delon +2
Recently, impressive denoising results have been achieved by Bayesian approaches which assume Gaussian models for the image patches. This improvement in performance can be attribut…
On the Role of Contrast and Regularity in Perceptual Boundary Saliency
Mariano Tepper, Pablo Musé, Andrés Almansa
Mathematical Morphology proposes to extract shapes from images as connected components of level sets. These methods prove very suitable for shape recognition and analysis. We prese…
A Complete System for Candidate Polyps Detection in Virtual Colonoscopy
Marcelo Fiori, Pablo Musé, Guillermo Sapiro
Computer tomographic colonography, combined with computer-aided detection, is a promising emerging technique for colonic polyp analysis. We present a complete pipeline for polyp de…