Remi Giraud

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Patch-based field-of-view matching in multi-modal images for electroporation-based ablations

Various multi-modal imaging sensors are currently involved at different ...
11/09/2020 ∙ by Luc Lafitte, et al. ∙ 0 ∙ share

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Generalized Shortest Path-based Superpixels for Accurate Segmentation of Spherical Images

Most of existing superpixel methods are designed to segment standard pla...
04/15/2020 ∙ by Remi Giraud, et al. ∙ 0 ∙ share

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Multi-Scale Superpatch Matching using Dual Superpixel Descriptors

Over-segmentation into superpixels is a very effective dimensionality re...
03/09/2020 ∙ by Remi Giraud, et al. ∙ 0 ∙ share

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Texture Superpixel Clustering from Patch-based Nearest Neighbor Matching

Superpixels are widely used in computer vision applications. Nevertheles...
03/09/2020 ∙ by Remi Giraud, et al. ∙ 0 ∙ share

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AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation

Whole brain segmentation using deep learning (DL) is a very challenging ...
11/20/2019 ∙ by Pierrick Coupé, et al. ∙ 40 ∙ share

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AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation

Whole brain segmentation using deep learning (DL) is a very challenging ...
06/05/2019 ∙ by Pierrick Coupé, et al. ∙ 0 ∙ share

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Robust superpixels using color and contour features along linear path

Superpixel decomposition methods are widely used in computer vision and ...
03/17/2019 ∙ by Remi Giraud, et al. ∙ 2 ∙ share

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SuperPatchMatch: an Algorithm for Robust Correspondences using Superpixel Patches

Superpixels have become very popular in many computer vision application...
03/17/2019 ∙ by Remi Giraud, et al. ∙ 6 ∙ share

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An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion

Automatic segmentation methods are important tools for quantitative anal...
03/17/2019 ∙ by Remi Giraud, et al. ∙ 0 ∙ share

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Evaluation Framework of Superpixel Methods with a Global Regularity Measure

In the superpixel literature, the comparison of state-of-the-art methods...
03/17/2019 ∙ by Remi Giraud, et al. ∙ 0 ∙ share

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SCALP: Superpixels with Contour Adherence using Linear Path

Superpixel decomposition methods are generally used as a pre-processing ...
03/17/2019 ∙ by Remi Giraud, et al. ∙ 0 ∙ share

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Robust Shape Regularity Criteria for Superpixel Evaluation

Regular decompositions are necessary for most superpixel-based object re...
03/17/2019 ∙ by Remi Giraud, et al. ∙ 0 ∙ share

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Superpixel-based Color Transfer

In this work, we propose a fast superpixel-based color transfer method (...
03/14/2019 ∙ by Remi Giraud, et al. ∙ 0 ∙ share

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Texture-Aware Superpixel Segmentation

Most superpixel methods are based on spatial and color measures at the p...
01/30/2019 ∙ by Remi Giraud, et al. ∙ 0 ∙ share

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Remi Giraud

Featured Co-authors

Vincent Lepetit

Nicolas Papadakis

Vinh-Thong Ta

Pierrick Coupé

Aurelie Bugeau

Alzheimer's disease Neuroimaging Initiative

Baudouin Denis de Senneville

José V. Manjón

Yannick Berthoumieu

Boris Mansencal

Michaël Clément

Patch-based field-of-view matching in multi-modal images for electroporation-based ablations

Generalized Shortest Path-based Superpixels for Accurate Segmentation of Spherical Images

Multi-Scale Superpatch Matching using Dual Superpixel Descriptors

Texture Superpixel Clustering from Patch-based Nearest Neighbor Matching

AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation

AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation

Robust superpixels using color and contour features along linear path

SuperPatchMatch: an Algorithm for Robust Correspondences using Superpixel Patches

An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion

Evaluation Framework of Superpixel Methods with a Global Regularity Measure

SCALP: Superpixels with Contour Adherence using Linear Path

Robust Shape Regularity Criteria for Superpixel Evaluation

Superpixel-based Color Transfer

Texture-Aware Superpixel Segmentation