Remi Giraud | DeepAI

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∙ 04/06/2022

Analysis of Different Losses for Deep Learning Image Colorization

Image colorization aims to add color information to a grayscale image in...

1 Coloma Ballester, et al. ∙

∙ 04/06/2022

Influence of Color Spaces for Deep Learning Image Colorization

Colorization is a process that converts a grayscale image into a color o...

9 Coloma Ballester, et al. ∙

∙ 11/09/2020

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

Various multi-modal imaging sensors are currently involved at different ...

0 Luc Lafitte, et al. ∙

∙ 04/15/2020

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

Most of existing superpixel methods are designed to segment standard pla...

0 Remi Giraud, et al. ∙

∙ 03/09/2020

Multi-Scale Superpatch Matching using Dual Superpixel Descriptors

Over-segmentation into superpixels is a very effective dimensionality re...

0 Remi Giraud, et al. ∙

∙ 03/09/2020

Texture Superpixel Clustering from Patch-based Nearest Neighbor Matching

Superpixels are widely used in computer vision applications. Nevertheles...

0 Remi Giraud, et al. ∙

∙ 11/20/2019

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

Whole brain segmentation using deep learning (DL) is a very challenging ...

40 Pierrick Coupé, et al. ∙

∙ 06/05/2019

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

Whole brain segmentation using deep learning (DL) is a very challenging ...

0 Pierrick Coupé, et al. ∙

∙ 03/17/2019

Robust superpixels using color and contour features along linear path

Superpixel decomposition methods are widely used in computer vision and ...

2 Remi Giraud, et al. ∙

∙ 03/17/2019

SuperPatchMatch: an Algorithm for Robust Correspondences using Superpixel Patches

Superpixels have become very popular in many computer vision application...

6 Remi Giraud, et al. ∙

∙ 03/17/2019

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

Automatic segmentation methods are important tools for quantitative anal...

0 Remi Giraud, et al. ∙

∙ 03/17/2019

Evaluation Framework of Superpixel Methods with a Global Regularity Measure

In the superpixel literature, the comparison of state-of-the-art methods...

0 Remi Giraud, et al. ∙

∙ 03/17/2019

SCALP: Superpixels with Contour Adherence using Linear Path

Superpixel decomposition methods are generally used as a pre-processing ...

0 Remi Giraud, et al. ∙

∙ 03/17/2019

Robust Shape Regularity Criteria for Superpixel Evaluation

Regular decompositions are necessary for most superpixel-based object re...

0 Remi Giraud, et al. ∙

∙ 03/14/2019

Superpixel-based Color Transfer

In this work, we propose a fast superpixel-based color transfer method (...

0 Remi Giraud, et al. ∙

∙ 01/30/2019

Texture-Aware Superpixel Segmentation

Most superpixel methods are based on spatial and color measures at the p...

0 Remi Giraud, et al. ∙

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