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ORCIDRémi Giraud
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2020 – today
- 2024
[c12]Arthur Longuefosse, Edern Le Bot, Baudouin Denis de Senneville, Rémi Giraud, Boris Mansencal, Pierrick Coupé, Pascal Desbarats, Fabien Baldacci:
Adapted nnU-Net: A Robust Baseline for Cross-Modality Synthesis and Medical Image Inpainting. SASHIMI@MICCAI 2024: 24-33- [c11]Matthieu Vilain, Rémi Giraud, Hugo Germain, Guillaume Bourmaud:
Are Semi-Dense Detector-Free Methods Good at Matching Local Features? VISIGRAPP (4): VISAPP 2024: 35-46 - [i18]Matthieu Vilain, Rémi Giraud, Hugo Germain, Guillaume Bourmaud:
Are Semi-Dense Detector-Free Methods Good at Matching Local Features? CoRR abs/2402.08671 (2024) - [i17]Rémi Giraud, Michaël Clément:
Deep Spherical Superpixels. CoRR abs/2407.17354 (2024) - 2023
- [j10]Rémi Giraud, Rodrigo Borba Pinheiro, Yannick Berthoumieu:
Generalization of the shortest path approach for superpixel segmentation of omnidirectional images. Pattern Recognit. 142: 109673 (2023) - 2022
- [i16]Coloma Ballester, Aurélie Bugeau, Hernan Carrillo, Michaël Clément, Rémi Giraud, Lara Raad, Patricia Vitoria:
Influence of Color Spaces for Deep Learning Image Colorization. CoRR abs/2204.02850 (2022) - [i15]Coloma Ballester, Aurélie Bugeau, Hernan Carrillo, Michaël Clément, Rémi Giraud, Lara Raad, Patricia Vitoria:
Analysis of Different Losses for Deep Learning Image Colorization. CoRR abs/2204.02980 (2022) - 2021
- [j9]Marcelo Bertalmío
, Rémi Giraud, Seungyong Lee, Olivier Lézoray, Vinh-Thong Ta, David Tschumperlé:
Editorial of the special issue on Computational Image Editing. Signal Process. Image Commun. 95: 116245 (2021) - 2020
- [j8]Luc Lafitte, Rémi Giraud, Cornel Zachiu, Mario Ries, Olivier Sutter, Antoine Petit, Olivier Seror, Clair Poignard, Baudouin Denis de Senneville:
Patch-based field-of-view matching in multi-modal images for electroporation-based ablations. Comput. Medical Imaging Graph. 84: 101750 (2020) - [j7]Pierrick Coupé, Boris Mansencal, Michaël Clément, Rémi Giraud, Baudouin Denis de Senneville, Vinh-Thong Ta, Vincent Lepetit, José V. Manjón:
AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation. NeuroImage 219: 117026 (2020) - [j6]Rémi Giraud, Merlin Boyer, Michaël Clément:
Multi-scale superpatch matching using dual superpixel descriptors. Pattern Recognit. Lett. 133: 129-136 (2020) - [c10]Rémi Giraud, Rodrigo Borba Pinheiro, Yannick Berthoumieu:
Generalized Shortest Path-based Superpixels for Accurate Segmentation of Spherical Images. ICPR 2020: 2650-2656 - [c9]Kilian Hett, Rémi Giraud, Hans J. Johnson, Jane S. Paulsen, Jeffrey D. Long, Ipek Oguz:
Patch-Based Abnormality Maps for Improved Deep Learning-Based Classification of Huntington's Disease. MICCAI (7) 2020: 636-645 - [i14]Rémi Giraud, Yannick Berthoumieu:
Texture Superpixel Clustering from Patch-based Nearest Neighbor Matching. CoRR abs/2003.04414 (2020) - [i13]Rémi Giraud, Merlin Boyer, Michaël Clément:
Multi-Scale Superpatch Matching using Dual Superpixel Descriptors. CoRR abs/2003.04428 (2020) - [i12]Rémi Giraud, Rodrigo Borba Pinheiro, Yannick Berthoumieu:
Generalized Shortest Path-based Superpixels for Accurate Segmentation of Spherical Images. CoRR abs/2004.07394 (2020) - [i11]Luc Lafitte, Rémi Giraud, Cornel Zachiu, Mario Ries, Olivier Sutter, Antoine Petit, Olivier Seror, Clair Poignard, Baudouin Denis de Senneville:
Patch-based field-of-view matching in multi-modal images for electroporation-based ablations. CoRR abs/2011.11759 (2020)
2010 – 2019
- 2019
- [c8]Rémi Giraud, Yannick Berthoumieu:
Texture Superpixel Clustering from Patch-based Nearest Neighbor Matching. EUSIPCO 2019: 1-5 - [c7]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, Yannick Berthoumieu:
Texture-Aware Superpixel Segmentation. ICIP 2019: 1465-1469 - [c6]Pierrick Coupé, Boris Mansencal, Michaël Clément, Rémi Giraud, Baudouin Denis de Senneville, Vinh-Thong Ta, Vincent Lepetit, José V. Manjón:
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation. MICCAI (3) 2019: 466-474 - [i10]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, Yannick Berthoumieu:
Texture-Aware Superpixel Segmentation. CoRR abs/1901.11111 (2019) - [i9]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
Superpixel-based Color Transfer. CoRR abs/1903.06010 (2019) - [i8]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
Robust Shape Regularity Criteria for Superpixel Evaluation. CoRR abs/1903.07146 (2019) - [i7]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
SCALP: Superpixels with Contour Adherence using Linear Path. CoRR abs/1903.07149 (2019) - [i6]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
Evaluation Framework of Superpixel Methods with a Global Regularity Measure. CoRR abs/1903.07162 (2019) - [i5]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, José V. Manjón, D. Louis Collins, Pierrick Coupé, Alzheimer's Disease Neuroimaging Initiative:
An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion. CoRR abs/1903.07165 (2019) - [i4]Rémi Giraud, Vinh-Thong Ta, Aurélie Bugeau, Pierrick Coupé, Nicolas Papadakis:
SuperPatchMatch: an Algorithm for Robust Correspondences using Superpixel Patches. CoRR abs/1903.07169 (2019) - [i3]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
Robust superpixels using color and contour features along linear path. CoRR abs/1903.07193 (2019) - [i2]Pierrick Coupé, Boris Mansencal, Michaël Clément, Rémi Giraud, Baudouin Denis de Senneville, Vinh-Thong Ta, Vincent Lepetit, José V. Manjón:
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation. CoRR abs/1906.01862 (2019) - [i1]Pierrick Coupé, Boris Mansencal, Michaël Clément, Rémi Giraud, Baudouin Denis de Senneville, Vinh-Thong Ta, Vincent Lepetit, José V. Manjón:
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation. CoRR abs/1911.09098 (2019) - 2018
- [j5]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
Robust superpixels using color and contour features along linear path. Comput. Vis. Image Underst. 170: 1-13 (2018) - 2017
- [b1]Rémi Giraud:
Algorithmes de correspondance et superpixels pour l'analyse et le traitement d'images. (Matching algorithms and superpixels for image analysis and processing). University of Bordeaux, France, 2017 - [j4]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
Evaluation framework of superpixel methods with a global regularity measure. J. Electronic Imaging 26(6): 61603 (2017) - [j3]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:
CERES: A new cerebellum lobule segmentation method. NeuroImage 147: 916-924 (2017) - [j2]Rémi Giraud, Vinh-Thong Ta, Aurélie Bugeau, Pierrick Coupé, Nicolas Papadakis:
SuperPatchMatch: An Algorithm for Robust Correspondences Using Superpixel Patches. IEEE Trans. Image Process. 26(8): 4068-4078 (2017) - [c5]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
Superpixel-based color transfer. ICIP 2017: 700-704 - [c4]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
Robust shape regularity criteria for superpixel evaluation. ICIP 2017: 3455-3459 - 2016
- [j1]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, José V. Manjón, D. Louis Collins, Pierrick Coupé:
An Optimized PatchMatch for multi-scale and multi-feature label fusion. NeuroImage 124: 770-782 (2016) - [c3]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
SCALP: Superpixels with Contour Adherence using Linear Path. ICPR 2016: 2374-2379 - [c2]Kilian Hett, Vinh-Thong Ta, Rémi Giraud, Mary Mondino, José V. Manjón, Pierrick Coupé:
Patch-Based DTI Grading: Application to Alzheimer's Disease Classification. Patch-MI@MICCAI 2016: 76-83 - 2014
- [c1]Vinh-Thong Ta, Rémi Giraud, D. Louis Collins, Pierrick Coupé:
Optimized PatchMatch for Near Real Time and Accurate Label Fusion. MICCAI (3) 2014: 105-112
Coauthor Index
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