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Number of documents

56

Thierry Geraud


EPITA Research and Development Laboratory (LRDE)

14-16 rue Voltaire, FR-94270 Le Kremlin-Bicetre, France

http://www.lrde.epita.fr/wiki/User:Theo

 


Journal articles13 documents

  • Nicolas Boutry, Thierry Géraud, Laurent Najman. How to Make n-D Plain Maps defined on Discrete Surfaces Alexandrov-Well-Composed in a Self-dual Way. Journal of Mathematical Imaging and Vision, Springer Verlag, In press, ⟨10.1007/s10851-019-00873-4⟩. ⟨hal-02005579⟩
  • Guillaume Tochon, Mauro Dalla Mura, Miguel Angel Veganzones, Thierry Géraud, Jocelyn Chanussot. Braids of partitions for the hierarchical representation and segmentation of multimodal images. Pattern Recognition, Elsevier, 2019, 95, pp.162-172. ⟨10.1016/j.patcog.2019.05.029⟩. ⟨hal-02307542⟩
  • Nicolas Boutry, Thierry Géraud, Laurent Najman. A Tutorial on Well-Composedness. Journal of Mathematical Imaging and Vision, Springer Verlag, 2018, 60 (3), pp.443-478. ⟨10.1007/s10851-017-0769-6⟩. ⟨hal-01609892v2⟩
  • Markus Gotz, Gabriele Cavallaro, Thierry Géraud, Matthias Book, Morris Riedel. Parallel Computation of Component Trees on Distributed Memory Machines. IEEE Transactions on Parallel and Distributed Systems, Institute of Electrical and Electronics Engineers, 2018, 29 (11), pp.2582-2598. ⟨10.1109/TPDS.2018.2829724⟩. ⟨hal-02181876⟩
  • Yongchao Xu, Baptiste Morel, Sonia Dahdouh, Élodie Puybareau, Alessio Virzì, et al.. The challenge of cerebral magnetic resonance imaging in neonates: A new method using mathematical morphology for the segmentation of structures including diffuse excessive high signal intensities. Medical Image Analysis, Elsevier, 2018, 48, pp.75-94. ⟨10.1016/j.media.2018.05.003⟩. ⟨hal-02104030⟩
  • Yongchao Xu, Edwin Carlinet, Thierry Géraud, Laurent Najman. Hierarchical Segmentation Using Tree-Based Shape Spaces. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2017, 39 (3), pp.457-469. ⟨10.1109/TPAMI.2016.2554550⟩. ⟨hal-01301966⟩
  • Yongchao Xu, Thierry Géraud, Laurent Najman. Connected Filtering on Tree-Based Shape-Spaces. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2016, 38 (6), pp.1126 - 1140. ⟨10.1109/TPAMI.2015.2441070⟩. ⟨hal-01162437⟩
  • Yongchao Xu, Thierry Géraud, Laurent Najman. Hierarchical image simplification and segmentation based on Mumford-Shah-salient level line selection. Pattern Recognition Letters, Elsevier, 2016, ⟨10.1016/j.patrec.2016.05.006⟩. ⟨hal-01287029v2⟩
  • Edwin Carlinet, Thierry Géraud. MToS: A Tree of Shapes for Multivariate Images. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2015, 24 (12), pp.5330 - 5342. ⟨10.1109/TIP.2015.2480599⟩. ⟨hal-01474835⟩
  • Guillaume Lazzara, Thierry Géraud. Efficient Multiscale Sauvola's Binarization. International Journal on Document Analysis and Recognition, Springer Verlag, 2014, 17 (2), pp.105-123. ⟨10.1007/s10032-013-0209-0⟩. ⟨hal-02181880⟩
  • Edwin Carlinet, Thierry Géraud. A Comparative Review of Component Tree Computation Algorithms. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2014, 23 (9), pp.3885 - 3895. ⟨10.1109/TIP.2014.2336551⟩. ⟨hal-01474830⟩
  • Yongchao Xu, Pascal Monasse, Thierry Géraud, Laurent Najman. Tree-Based Morse Regions: A Topological Approach to Local Feature Detection. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2014, 23 (12), pp.5612-5625. ⟨10.1109/TIP.2014.2364127⟩. ⟨hal-01162446⟩
  • Isabelle Bloch, Olivier Colliot, Oscar Camara, Thierry Géraud. Fusion of spatial relationships for guiding recognition, example of brain structure recognition in 3D MRI. Pattern Recognition Letters, Elsevier, 2005, 26 (4), pp.449-457. ⟨10.1016/j.patrec.2004.08.009⟩. ⟨hal-01251245⟩

Conference papers37 documents

  • Julie Rivet, Guillaume Tochon, Serge Meimon, Michel Paques, Thierry Géraud, et al.. Deep neural networks for aberration compensation in digital holographic imaging of the retina. Adaptive Optics and Wavefront Control for Biological Systems V, Feb 2019, San Francisco, CA, United States. pp.34, ⟨10.1117/12.2509711⟩. ⟨hal-02176460⟩
  • Julie Rivet, Guillaume Tochon, Serge Meimon, Michel Paques, Thierry Géraud, et al.. MOTION COMPENSATION IN DIGITAL HOLOGRAPHY FOR RETINAL IMAGING. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI), Apr 2019, Venice, Italy. pp.1428-1431. ⟨hal-02183084⟩
  • Minh On Vu Ngoc, Jonathan Fabrizio, Thierry Géraud. Saliency-Based Detection of Identity Documents Captured by Smartphones. IAPR International Workshop on Document Analysis Systems, Apr 2018, Vienna, Austria. ⟨hal-01816406⟩
  • Jordan Drapeau, Thierry Géraud, Mickaël Coustaty, Joseph Chazalon, Jean-Christophe Burie, et al.. Extraction du contenu de cartes historiques à partir d’un arbre des composantes connexes. Symposium International Francophone sur l'Écrit et le Document, May 2018, Tours, France. ⟨hal-02890294⟩
  • Nicolas Boutry, Laurent Najman, Thierry Géraud. Well-composedness in Alexandrov spaces implies digital well-composedness in Z^n. 20th IAPR International Conference on Discrete Geometry for Computer Imagery (DGCI), Sep 2017, Vienna, Austria. ⟨hal-01744455⟩
  • Yongchao Xu, Thierry Géraud, Isabelle Bloch. From neonatal to adult brain MR image segmentation in a few seconds using 3D-like fully convolutional network and transfer learning. 2017 IEEE International Conference on Image Processing (ICIP), Sep 2017, Beijing, France. ⟨10.1109/ICIP.2017.8297117⟩. ⟨hal-01735727⟩
  • Nicolas Boutry, Laurent Najman, Thierry Géraud. 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⟩. ⟨hal-01586418⟩
  • Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud. La pseudo-distance du dahu. ORASIS 2017, GREYC, Jun 2017, Colleville-sur-Mer, France. ⟨hal-01866710⟩
  • Edwin Carlinet, Thierry Géraud. A Color Tree of Shapes with Illustrations on Filtering, Simplification, and Segmentation. 12th International Symposium on Mathematical Morphology (ISMM), May 2017, Reykjavik, Iceland. pp.363 - 374, ⟨10.1007/978-3-319-18720-4_31⟩. ⟨hal-01476208⟩
  • Thierry Géraud, Edwin Carlinet, Sébastien Crozet. Self-duality and Digital Topology: Links Between the Morphological Tree of Shapes and Well-Composed Gray-Level Images. 12th International Symposium on Mathematical Morphology (ISMM, May 2017, Reykjavik, Iceland. pp.573 - 584, ⟨10.1007/978-3-319-18720-4_48⟩. ⟨hal-01476218⟩
  • Edwin Carlinet, Thierry Géraud. Getting a morphological tree of shapes for multivariate images: Paths, traps, and pitfalls. 21st IEEE International Conference on Image Processing (ICIP), Oct 2017, Paris, France. pp.615 - 619, ⟨10.1109/ICIP.2014.7025123⟩. ⟨hal-01476227⟩
  • Jordan Drapeau, Thierry Géraud, Mickaël Coustaty, Joseph Chazalon, Jean-Christophe Burie, et al.. Extraction of ancient maps content by using trees of connected components. IAPR International Workshop on Graphics Recognition at ICDAR 2017, Nov 2017, Kyoto, Japan. ⟨hal-01637824⟩
  • Lê Duy Huỳn, Yongchao Xu, Thierry Géraud. Morphological Hierarchical Image Decomposition Based on Laplacian 0-Crossings. 13th International Symposium on Mathematical Morphology (ISMM), May 2017, Fontainebleau, France. ⟨hal-01476302⟩
  • Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry. Introducing the Dahu Pseudo-Distance. 13th International Symposium on Mathematical Morphology (ISMM), May 2017, Fontainebleau, France. ⟨10.1007/978-3-319-57240-6_5⟩. ⟨hal-01476258⟩
  • Lê Duy Huỳn, Yongchao Xu, Thierry Géraud. Morphology-Based Hierarchical Representation with Application to Text Segmentation in Natural Images. 23rd International Conference on Pattern Recognition (ICPR), Dec 2016, Cancun, Mexico. ⟨hal-01476299⟩
  • Gabriele Cavallaro, Mauro Dalla Mura, Edwin Carlinet, Thierry Géraud, Nicola Falco, et al.. Region-based classification of remote sensing images with the morphological tree of shapes. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2016), Jul 2016, Beijing, China. pp.5087 - 5090, ⟨10.1109/IGARSS.2016.7730326⟩. ⟨hal-01476244⟩
  • Nicolas Boutry, Thierry Géraud, Laurent Najman. How to make nD images Well-composed without interpolation. International Conference on Image Processing (ICIP), Sep 2015, Quebec City, Canada. ⟨10.1109/ICIP.2015.7351181⟩. ⟨hal-01134166⟩
  • Nicolas Boutry, Thierry Géraud, Laurent Najman. How to Make nD Functions Digitally Well-Composed in a Self-dual Way. Mathematical 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⟩. ⟨hal-01168723⟩
  • Yongchao Xu, Edwin Carlinet, Thierry Géraud, Laurent Najman. Efficient Computation of Attributes and Saliency Maps on Tree-Based Image Representations. Mathematical 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⟩. ⟨hal-01168781⟩
  • Yongchao Xu, Thierry Géraud, Laurent Najman. Espaces des formes basés sur des arbres : définition et applications en traitement d'images et vision par ordinateur. Reconnaissance de Formes et Intelligence Artificielle (RFIA) 2014, Jun 2014, Rouen, France. ⟨hal-00989112⟩
  • Roland Levillain, Thierry Géraud, Laurent Najman, Edwin Carlinet. Practical Genericity: Writing Image Processing Algorithms Both Reusable and Efficient. Progress 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⟩. ⟨hal-01082349⟩
  • Yongchao Xu, Edwin Carlinet, Thierry Géraud, Laurent Najman. Meaningful Disjoint Level Lines Selection. International Conference on Image Processing (ICIP), Oct 2014, Paris, France. ⟨hal-01082342⟩
  • Nicolas Boutry, Thierry Géraud, Laurent Najman. On making nD images well-composed by a self-dual local interpolation. 18th IAPR International Conference, DGCI 2014, Sep 2014, Sienna, Italy. pp.320-331, ⟨10.1007/978-3-319-09955-2_27⟩. ⟨hal-01071624⟩
  • Yongchao Xu, Thierry Géraud, Laurent Najman. Two applications of shape-based morphology: blood vessels segmentation and a generalization of constrained connectivity. International Symposium on Mathematical Morphology, May 2013, Uppsala, Sweden. pp.386-397. ⟨hal-00798625⟩
  • Yongchao Xu, Thierry Géraud, Laurent Najman. Salient Level Lines Selection Using the Mumford-Shah Functional. ICIP 2013, Sep 2013, Melbourne, Australia. pp.1-5. ⟨hal-00831032⟩
  • Thierry Géraud, Edwin Carlinet, Sébastien Crozet, Laurent Najman. A quasi-linear algorithm to compute the tree of shapes of n-D images. International Symposium on Mathematical Morphology, May 2013, Uppsala, Sweden. pp.97-108. ⟨hal-00798620⟩
  • Laurent Najman, Thierry Géraud. Discrete set-valued continuity and interpolation. International Symposium on Mathematical Morphology, May 2013, Uppsala, Sweden. pp.37-48. ⟨hal-00798574⟩
  • Edwin Carlinet, Thierry Géraud. A Comparison of Many Max-tree Computation Algorithms. 11th International Symposium on Mathematical Morphology (ISMM), May 2013, Uppsala, Sweden. pp.73 - 85, ⟨10.1007/978-3-642-38294-9_7⟩. ⟨hal-01476238⟩
  • Nathalie Dagorn, Thierry Géraud. Analyse de l’impact de la motivation et de l’émotion sur le management de la connaissance. 6e 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. ⟨hal-01376674⟩
  • Yongchao Xu, Thierry Géraud, Laurent Najman. Context-based energy estimator: Application to object segmentation on the tree of shapes. International Conference on Image Processing (ICIP), Sep 2012, Orlando, Florida, United States. pp.1577-1580. ⟨hal-00762289⟩
  • Yongchao Xu, Thierry Géraud, Laurent Najman. Morphological Filtering in Shape Spaces: Applications using Tree-Based Image Representations. 21st International Conference on Pattern Recognition, Nov 2012, Tsukuba, Japan. pp.485-488. ⟨hal-00714847⟩
  • Roland Levillain, Thierry Géraud, Laurent Najman. Une approche générique du logiciel pour le traitement d'images préservant les performances. 23ème Colloque GRETSI - Traitement du Signal et des Images (GRETSI'12), 2012, France. 10pp. ⟨hal-00622513⟩
  • Roland Levillain, Thierry Géraud, Laurent Najman. Writing Reusable Digital Geometry Algorithms in a Generic Image Processing Framework. WADGMM 2010, Aug 2010, Istanbul, Turkey. pp.140-153, ⟨10.1007/978-3-642-32313-3_10⟩. ⟨hal-00733264⟩
  • Rolland Levillain, Thierry Géraud, Laurent Najman. Why and How to Design a Generic and Efficient Image Processing Framework: The Case of the Milena Library. International Conference on Image Processing (ICIP'10), 2010, France. 10pp. ⟨hal-00622480⟩
  • Rolland Levillain, Thierry Géraud, Laurent Najman. Writing Reusable Digital Geometry Algorithms in a Generic Image Processing Framework. Workshop on Applications of Digital Geometry and Mathematical Morphology, 2010, France. 10pp. ⟨hal-00622481⟩
  • Roland Levillain, Thierry Géraud, Laurent Najman. Milena: Write Generic Morphological Algorithms Once, Run on Many Kinds of Images. 9th International Symposium on Mathematical Morphology (ISMM'09), Aug 2009, Groningen, Netherlands. pp.295-306. ⟨hal-00622404⟩
  • Thierry Géraud, Pierre-Yves Strub, Jérome Darbon. Color image segmentation based on automatic morphological clustering. IEEE International Conference on Image Processing (ICIP'01), Oct 2001, Thessaloniki, Greece. pp.70--73, ⟨10.1109/ICIP.2001.958053⟩. ⟨inria-00614669⟩

Book sections3 documents

  • Michaël Roynard, Edwin Carlinet, Thierry Géraud. An Image Processing Library in Modern C++: Getting Simplicity and Efficiency with Generic Programming. Reproducible Research in Pattern Recognition---2nd International Workshop, RRPR 2018, Beijing, China, August 2018, Revised Selected Papers, pp.121-137, 2019. ⟨hal-02176414⟩
  • Élodie Puybareau, Zhao Zhou, Younes Khoudli, Edwin Carlinet, Yongchao Xu, et al.. Left Atrial Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning. Statistical 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⟩. ⟨hal-02176449⟩
  • Jordan Drapeau, Thierry Géraud, Mickaël Coustaty, Joseph Chazalon, Jean-Christophe Burie, et al.. Extraction of Ancient Map Contents Using Trees of Connected Components. GREC 2017: Graphics Recognition. Current Trends and Evolutions, pp.115-130, 2018, ⟨10.1007/978-3-030-02284-6_9⟩. ⟨hal-02566618⟩

Preprints, Working Papers, ...1 document

  • Nicolas Boutry, Thierry Géraud, Laurent Najman. An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D. 2019. ⟨hal-01978607⟩

Reports2 documents

  • Nicolas Boutry, Rocio Gonzalez-Diaz, Laurent Najman, Thierry Géraud. A 4D counter-example showing that DWCness does not imply CWCness in n-D. [Research Report] LRDE - Laboratoire de Recherche et de Développement de l'EPITA; Universidad de Sevilla (Espagne); LIGM - Laboratoire d'Informatique Gaspard-Monge. 2020. ⟨hal-02455798⟩
  • Nicolas Boutry, Laurent Najman, Thierry Géraud. 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. ⟨hal-01375621v2⟩