Rémi Giraud

According to our database, Rémi Giraud authored at least 25 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Are Semi-Dense Detector-Free Methods Good at Matching Local Features?

Matthieu Vilain, Rémi Giraud, Hugo Germain, Guillaume Bourmaud

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

Generalization of the shortest path approach for superpixel segmentation of omnidirectional images.

Rémi Giraud, Rodrigo Borba Pinheiro, Yannick Berthoumieu

Pattern Recognit., October, 2023

2022

Analysis of Different Losses for Deep Learning Image Colorization.

Coloma Ballester, Aurélie Bugeau, Hernan Carrillo, Michaël Clément, Rémi Giraud, Lara Raad, Patricia Vitoria

CoRR, 2022

Influence of Color Spaces for Deep Learning Image Colorization.

Coloma Ballester, Aurélie Bugeau, Hernan Carrillo, Michaël Clément, Rémi Giraud, Lara Raad, Patricia Vitoria

CoRR, 2022

2021

Editorial of the special issue on Computational Image Editing.

Marcelo Bertalmío, Rémi Giraud, Seungyong Lee, Olivier Lézoray, Vinh-Thong Ta, David Tschumperlé

Signal Process. Image Commun., 2021

2020

Multi-scale superpatch matching using dual superpixel descriptors.

Rémi Giraud, Merlin Boyer, Michaël Clément

Pattern Recognit. Lett., 2020

AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation.

Pierrick Coupé, Boris Mansencal, Michaël Clément, Rémi Giraud, Baudouin Denis de Senneville, Vinh-Thong Ta, Vincent Lepetit, José V. Manjón

NeuroImage, 2020

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

Luc Lafitte, Rémi Giraud, Cornel Zachiu, Mario Ries, Olivier Sutter, Antoine Petit, Olivier Seror, Clair Poignard, Baudouin Denis de Senneville

Comput. Medical Imaging Graph., 2020

Patch-Based Abnormality Maps for Improved Deep Learning-Based Classification of Huntington's Disease.

Kilian Hett, Rémi Giraud, Hans J. Johnson, Jane S. Paulsen, Jeffrey D. Long, Ipek Oguz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

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

Rémi Giraud, Rodrigo Borba Pinheiro, Yannick Berthoumieu

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

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

Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, José V. Manjón, D. Louis Collins, Pierrick Coupé, Alzheimer's Disease Neuroimaging Initiative

CoRR, 2019

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

Pierrick Coupé, Boris Mansencal, Michaël Clément, Rémi Giraud, Baudouin Denis de Senneville, Vinh-Thong Ta, Vincent Lepetit, José V. Manjón

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Texture-Aware Superpixel Segmentation.

Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, Yannick Berthoumieu

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Texture Superpixel Clustering from Patch-based Nearest Neighbor Matching.

Rémi Giraud, Yannick Berthoumieu

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Robust superpixels using color and contour features along linear path.

Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis

Comput. Vis. Image Underst., 2018

2017

Algorithmes de correspondance et superpixels pour l'analyse et le traitement d'images. (Matching algorithms and superpixels for image analysis and processing).

Rémi Giraud

PhD thesis, 2017

SuperPatchMatch: An Algorithm for Robust Correspondences Using Superpixel Patches.

Rémi Giraud, Vinh-Thong Ta, Aurélie Bugeau, Pierrick Coupé, Nicolas Papadakis

IEEE Trans. Image Process., 2017

CERES: A new cerebellum lobule segmentation method.

José E. Romero, Pierrick Coupé, Rémi Giraud, Vinh-Thong Ta, Vladimir S. Fonov, Min Tae M. Park, M. Mallar Chakravarty, Aristotle N. Voineskos, José V. Manjón

NeuroImage, 2017

Evaluation framework of superpixel methods with a global regularity measure.

Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis

J. Electronic Imaging, 2017

Robust shape regularity criteria for superpixel evaluation.

Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Superpixel-based color transfer.

Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

An Optimized PatchMatch for multi-scale and multi-feature label fusion.

Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, José V. Manjón, D. Louis Collins, Pierrick Coupé

NeuroImage, 2016

Patch-Based DTI Grading: Application to Alzheimer's Disease Classification.

Kilian Hett, Vinh-Thong Ta, Rémi Giraud, Mary Mondino, José V. Manjón, Pierrick Coupé

Proceedings of the Patch-Based Techniques in Medical Imaging, 2016

SCALP: Superpixels with Contour Adherence using Linear Path.

Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2014

Optimized PatchMatch for Near Real Time and Accurate Label Fusion.

Vinh-Thong Ta, Rémi Giraud, D. Louis Collins, Pierrick Coupé

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014