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20112023
most citedCompressed Nonnegative Matrix Factorization is Fast and Accurate

41 citations · 104 across the 15 of their papers we have counts for

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7 papers · 1 filter

cs.CV2016★ 6 cited

Fast L1-NMF for Multiple Parametric Model Estimation

Mariano Tepper, Guillermo Sapiro

In this work we introduce a comprehensive algorithmic pipeline for multiple parametric model estimation. The proposed approach analyzes the information produced by a random samplin…

cs.CV2016

Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting

Mariano Tepper, Guillermo Sapiro

In this work, we introduce a highly efficient algorithm to address the nonnegative matrix underapproximation (NMU) problem, i.e., nonnegative matrix factorization (NMF) with an add…

cs.CV2014★ 13 cited

A Bi-clustering Framework for Consensus Problems

Mariano Tepper, Guillermo Sapiro

We consider grouping as a general characterization for problems such as clustering, community detection in networks, and multiple parametric model estimation. We are interested in…

cs.CV2013★ 3 cited

Video Human Segmentation using Fuzzy Object Models and its Application to Body Pose Estimation of Toddlers for Behavior Studies

Thiago V. Spina, Mariano Tepper, Amy Esler +4

Video object segmentation is a challenging problem due to the presence of deformable, connected, and articulated objects, intra- and inter-object occlusions, object motion, and poo…

cs.CV2012★ 17 cited

Computer vision tools for the non-invasive assessment of autism-related behavioral markers

Jordan Hashemi, Thiago Vallin Spina, Mariano Tepper +4

The early detection of developmental disorders is key to child outcome, allowing interventions to be initiated that promote development and improve prognosis. Research on autism sp…

cs.CV2012★ 2 cited

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…