Thierry Géraud
Présentation
EPITA Research and Development Laboratory (LRDE) 14-16 rue Voltaire, FR-94270 Le Kremlin-Bicetre, France
Publications
Publications
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Verification of Dynamic Holographic Behavior in Identity DocumentsInternational Conference on Document Analysis and Recognition (ICDAR 2025), Sep 2025, Wuhan, China |
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Weakly Supervised Training for Hologram Verification in Identity DocumentsInternational Conference on Document Analysis and Recognition (ICDAR 2024), Aug 2024, Athenes, Greece |
A New Matching Algorithm between Trees of Shapes and its Application to Brain Tumor SegmentationProceedings of the IAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM), May 2021, Uppsala, Sweden. pp.67--78, ⟨10.1007/978-3-030-76657-3_4⟩ |
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FOANet: A Focus of Attention Network with Application to Myocardium SegmentationProceedings of the 25th International Conference on Pattern Recognition (ICPR), Jan 2021, Milan, Italy. pp.1120--1127, ⟨10.1109/ICPR48806.2021.9412016⟩ |
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Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial SegmentationProceedings of the 25th International Conference on Pattern Recognition (ICPR), Jan 2021, Milan, Italy. pp.7447--7453, ⟨10.1109/ICPR48806.2021.9412755⟩ |
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An Equivalence Relation between Morphological Dynamics and Persistent Homology in n-DDiscrete Geometry and Mathematical Morphology (DGMM), May 2021, Uppsala, Sweden |
A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR ImagesStatistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges−-10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised Selected Papers, Oct 2019, Shenzhen, China. pp.405--413, ⟨10.1007/978-3-030-39074-7_42⟩ |
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Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like ArchitecturesBrainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 5th International Workshop,, Oct 2019, Shenzhen, China. pp.187-199, ⟨10.1007/978-3-030-46640-4_18⟩ |
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A 4D counter-example showing that DWCness does not imply CWCness in n-DCombinatorial Image Analysis. IWCIA 2020, Jul 2020, Novi Sad, Serbia. ⟨10.1007/978-3-030-51002-2_6⟩ |
Introducing Multivariate Connected Openings and ClosingsMathematical Morphology and Its Application to Signal and Image Processing − Proceedings of the 14th International Symposium on Mathematical Morphology (ISMM), Jul 2019, Saarbrücken, Germany. pp.1--12, ⟨10.1007/978-3-030-20867-7_17⟩ |
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Estimating the noise level function with the tree of shapes and non-parametric statisticsProceedings of the 18th International Conference on Computer Analysis of Images and Patterns (CAIP), Sep 2019, Salerno, Italy. pp.377--388, ⟨10.1007/978-3-030-29891-3_33⟩ |
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Deep neural networks for aberration compensation in digital holographic imaging of the retinaAdaptive Optics and Wavefront Control for Biological Systems V, Feb 2019, San Francisco, United States. pp.34, ⟨10.1117/12.2509711⟩ |
Filtres connexes multivariés par fusion d'arbres de composantesProceedings of the 27st Symposium on Signal and Image Processing (GRETSI), Aug 2019, Lille, France |
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An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1DMathematical Morphology and Its Applications to Signal and Image Processing, Burgeth, Bernhard; Kleefeld, Andreas; Naegel, Benoît; Passat, Nicolas; Perret, Benjamin, 2019, Strasbourg, France. pp.57-68, ⟨10.1007/978-3-030-20867-7_5⟩ |
Intervertebral Disc Segmentation Using Mathematical Morphology−-A CNN-Free ApproachProceedings of the 5th MICCAI Workshop & Challenge on Computational Methods and Clinical Applications for Spine Imaging (CSI), Sep 2018, Granada, Spain. pp.105--118, ⟨10.1007/978-3-030-13736-6_9⟩ |
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Estimation du niveau de bruit par arbre des formes et statistiques non paramétriquesProceedings of the 27st Symposium on Signal and Image Processing (GRETSI), Aug 2019, Lille, France |
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Document detection in videos captured by smartphones using a saliency-based methodInternational Conference on Document Analysis and Recognition Workshops (ICDARW), Sep 2019, Sydney, Australia. pp.19--24, ⟨10.1109/ICDARW.2019.30059⟩ |
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Motion Compensation In Digital Holography For Retinal Imaging2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI), Apr 2019, Venise, Italy. pp.1428-1431, ⟨10.1109/ISBI.2019.8759564⟩ |
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Saliency-Based Detection of Identity Documents Captured by SmartphonesIAPR International Workshop on Document Analysis Systems, Apr 2018, Vienna, Austria |
Extraction du contenu de cartes historiques à partir d’un arbre des composantes connexesSymposium International Francophone sur l'Écrit et le Document, May 2018, Tours, France |
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Real-Time Document Detection in Smartphone VideosProceedings of the 24th IEEE International Conference on Image Processing (ICIP), Oct 2018, Athens, Greece. pp.1498--1502, ⟨10.1109/ICIP.2018.8451533⟩ |
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The Tree of Shapes Turned into a Max-Tree: A Simple and Efficient Linear AlgorithmProceedings of the 24th IEEE International Conference on Image Processing (ICIP), Oct 2018, Athens, Greece. pp.1488--1492, ⟨10.1109/ICIP.2018.8451180⟩ |
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Un algorithme de complexité linéaire pour le calcul de l'arbre des formesActes du congrès Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP), Jun 2018, Marne-la-Vallée, France |
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From neonatal to adult brain MR image segmentation in a few seconds using 3D-like fully convolutional network and transfer learning2017 IEEE International Conference on Image Processing (ICIP), Sep 2017, Beijing, France. ⟨10.1109/ICIP.2017.8297117⟩ |
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La pseudo-distance du dahuORASIS 2017, GREYC, Jun 2017, Colleville-sur-Mer, France |
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Morphological Hierarchical Image Decomposition Based on Laplacian 0-Crossings13th International Symposium on Mathematical Morphology (ISMM), May 2017, Fontainebleau, France |
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Extraction of ancient maps content by using trees of connected componentsIAPR International Workshop on Graphics Recognition at ICDAR 2017, Nov 2017, Kyoto, Japan. ⟨10.1109/ICDAR.2017.249⟩ |
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Well-composedness in Alexandrov spaces implies digital well-composedness in Z^n20th IAPR International Conference on Discrete Geometry for Computer Imagery (DGCI), Sep 2017, Vienna, Austria |
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Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in $\mathbb {Z}^n$20th International Conference on Discrete Geometry for Computer Imagery (DGCI 2017), Sep 2017, Vienne, Austria. pp.225-237, ⟨10.1007/978-3-319-66272-5_19⟩ |
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Introducing the Dahu Pseudo-Distance13th International Symposium on Mathematical Morphology (ISMM), May 2017, Fontainebleau, France. ⟨10.1007/978-3-319-57240-6_5⟩ |
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Morphology-Based Hierarchical Representation with Application to Text Segmentation in Natural Images23rd International Conference on Pattern Recognition (ICPR), Dec 2016, Cancun, Mexico |
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Region-based classification of remote sensing images with the morphological tree of shapesIGARSS 2016 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2016, Beijing, China. pp.5087 - 5090, ⟨10.1109/IGARSS.2016.7730326⟩ |
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A Color Tree of Shapes with Illustrations on Filtering, Simplification, and Segmentation12th International Symposium on Mathematical Morphology (ISMM), May 2017, Reykjavik, Iceland. pp.363 - 374, ⟨10.1007/978-3-319-18720-4_31⟩ |
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Efficient Computation of Attributes and Saliency Maps on Tree-Based Image RepresentationsMathematical Morphology and Its Applications to Signal and Image Processing, Benediktsson, J.A.; Chanussot, J.; Najman, L.; Talbot, H., May 2015, Reykjavik, Iceland. pp.693-704, ⟨10.1007/978-3-319-18720-4_58⟩ |
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How to make nD images Well-composed without interpolationInternational Conference on Image Processing (ICIP), Sep 2015, Quebec City, Canada. ⟨10.1109/ICIP.2015.7351181⟩ |
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How to Make nD Functions Digitally Well-Composed in a Self-dual WayMathematical Morphology and Its Applications to Signal and Image Processing, Benediktsson, J.A.; Chanussot, J.; Najman, L.; Talbot, H., May 2015, Reykjavik, Iceland. pp.561-572, ⟨10.1007/978-3-319-18720-4_47⟩ |
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Self-duality and Digital Topology: Links Between the Morphological Tree of Shapes and Well-Composed Gray-Level Images12th International Symposium on Mathematical Morphology (ISMM, May 2017, Reykjavik, Iceland. pp.573 - 584, ⟨10.1007/978-3-319-18720-4_48⟩ |
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Getting a morphological tree of shapes for multivariate images: Paths, traps, and pitfalls21st IEEE International Conference on Image Processing (ICIP), Oct 2017, Paris, France. pp.615 - 619, ⟨10.1109/ICIP.2014.7025123⟩ |
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Practical Genericity: Writing Image Processing Algorithms Both Reusable and EfficientProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Bayro-Corrochano, Eduardo and Hancock, Edwin, Nov 2014, Puerto Vallarta, Mexico. pp.70 - 79, ⟨10.1007/978-3-319-12568-8_9⟩ |
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Espaces des formes basés sur des arbres : définition et applications en traitement d'images et vision par ordinateurReconnaissance de Formes et Intelligence Artificielle (RFIA) 2014, Jun 2014, Rouen, France |
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Meaningful Disjoint Level Lines SelectionInternational Conference on Image Processing (ICIP), Oct 2014, Paris, France |
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On making nD images well-composed by a self-dual local interpolation18th IAPR International Conference, DGCI 2014, Sep 2014, Sienna, Italy. pp.320-331, ⟨10.1007/978-3-319-09955-2_27⟩ |
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A quasi-linear algorithm to compute the tree of shapes of n-D imagesInternational Symposium on Mathematical Morphology, May 2013, Uppsala, Sweden. pp.97-108 |
Analyse de l’impact de la motivation et de l’émotion sur le management de la connaissance6e conférence du GeCSO (Gestion des Connaissances dans la Société et les Organisations): La génération des connaissances dans l’activité au sein des organisations, ICN Business School Nancy-Metz; CEREFIGE, Centre Européen de Recherche en Économie Financière et Gestion des Entreprises; ISAM-IAE Nancy; Telecom, école de management, Jun 2013, Nancy, France |
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Salient Level Lines Selection Using the Mumford-Shah FunctionalICIP 2013, Sep 2013, Melbourne, Australia. pp.1-5 |
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A Comparison of Many Max-tree Computation Algorithms11th International Symposium on Mathematical Morphology (ISMM), May 2013, Uppsala, Sweden. pp.73 - 85, ⟨10.1007/978-3-642-38294-9_7⟩ |
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Discrete set-valued continuity and interpolationInternational Symposium on Mathematical Morphology, May 2013, Uppsala, Sweden. pp.37-48 |
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Two applications of shape-based morphology: blood vessels segmentation and a generalization of constrained connectivityInternational Symposium on Mathematical Morphology, May 2013, Uppsala, Sweden. pp.386-397 |
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Morphological Filtering in Shape Spaces: Applications using Tree-Based Image Representations21st International Conference on Pattern Recognition, Nov 2012, Tsukuba, Japan. pp.485-488 |
Une approche générique du logiciel pour le traitement d'images préservant les performances23ème Colloque GRETSI - Traitement du Signal et des Images (GRETSI'12), 2012, France. 10pp |
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Writing Reusable Digital Geometry Algorithms in a Generic Image Processing FrameworkWADGMM 2010, Aug 2010, Istanbul, Turkey. pp.140-153, ⟨10.1007/978-3-642-32313-3_10⟩ |
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Context-based energy estimator: Application to object segmentation on the tree of shapesInternational Conference on Image Processing (ICIP), Sep 2012, Orlando, Florida, United States. pp.1577-1580 |
Writing Reusable Digital Geometry Algorithms in a Generic Image Processing FrameworkWorkshop on Applications of Digital Geometry and Mathematical Morphology, 2010, France. 10pp |
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Why and How to Design a Generic and Efficient Image Processing Framework: The Case of the Milena LibraryInternational Conference on Image Processing (ICIP'10), 2010, France. 10pp |
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Milena: Write Generic Morphological Algorithms Once, Run on Many Kinds of Images9th International Symposium on Mathematical Morphology (ISMM'09), Aug 2009, Groningen, Netherlands. pp.295-306 |
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Color image segmentation based on automatic morphological clusteringIEEE International Conference on Image Processing (ICIP'01), Oct 2001, Thessaloniki, Greece. pp.70--73, ⟨10.1109/ICIP.2001.958053⟩ |
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Left Atrial Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer LearningStatistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges --- 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, pp.339-347, 2019, ⟨10.1007/978-3-030-12029-0_37⟩ |
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An Image Processing Library in Modern C++: Getting Simplicity and Efficiency with Generic ProgrammingReproducible Research in Pattern Recognition---2nd International Workshop, RRPR 2018, Beijing, China, August 2018, Revised Selected Papers, pp.121-137, 2019 |
Extraction of Ancient Map Contents Using Trees of Connected ComponentsGREC 2017: Graphics Recognition. Current Trends and Evolutions, pp.115-130, 2018, ⟨10.1007/978-3-030-02284-6_9⟩ |
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A Modern C++ Point of View of Programming in Image Processing2022 |
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About the equivalence between AWCness and DWCness[Research Report] LIGM - Laboratoire d'Informatique Gaspard-Monge; LRDE - Laboratoire de Recherche et de Développement de l'EPITA. 2016 |