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23

Expert in Automatic Document Understanding


Journal articles4 documents

  • Béatrice Daille, Amir Hazem, Christopher Kermorvant, Martin Maarand, Marie-Laurence Bonhomme, et al.. Transcription automatique et segmentation thématique de livres d’heures manuscrits. Traitement Automatique des Langues, ATALA, 2019, TAL et humanités numériques, 60 (3), pp.13-36. ⟨hal-02430291⟩
  • Bastien Moysset, Christopher Kermorvant, Christian Wolf. Learning to detect, localize and recognize many text objects in document images from few examples. International Journal on Document Analysis and Recognition, Springer Verlag, In press, ⟨10.1007/s10032-018-0305-2⟩. ⟨hal-01800636⟩
  • Guillaume Renton, Yann Soullard, Clément Chatelain, Sébastien Adam, Christopher Kermorvant, et al.. Fully convolutional network with dilated convolutions for handwritten text line segmentation. International Journal on Document Analysis and Recognition, Springer Verlag, In press, ⟨10.1007/s10032-018-0304-3⟩. ⟨hal-01823604⟩
  • Elsa Kermorvant-Duchemin, Silvia Iacobelli, Sergio Eleni-Dit-Trolli, Francesco Bonsante, Christopher Kermorvant, et al.. Early chloride intake does not parallel that of sodium in extremely-low-birth-weight infants and may impair neonatal outcomes. Journal of Pediatric Gastroenterology and Nutrition, Lippincott, Williams & Wilkins, 2012, 54 (5), pp.613--619. ⟨10.1097/MPG.0b013e318245b428⟩. ⟨hal-01194224⟩

Conference papers15 documents

  • Emanuela Boroş, Verónica Romero, Martin Maarand, Dominique Stutzmann, Kateřina Zenklová, et al.. A comparison of sequential and combined approaches for named entity recognition in a corpus of handwritten medieval charters. 2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR), Sep 2020, Dortmund, Germany. pp.79-84, ⟨10.1109/ICFHR2020.2020.00025⟩. ⟨hal-02935087⟩
  • Amir Hazem, Béatrice Daille, Marie-Laurence Bonhomme, Martin Maarand, Mélodie Boillet, et al.. Books of Hours: the First Liturgical Corpus for Text Segmentation. 12th Language Resources and Evaluation Conference, May 2020, Marseille (Virtual), France. pp.776-784. ⟨hal-02931294⟩
  • Dominique Stutzmann, Jacob Currie, Béatrice Daille, Amir Hazem, Christopher Kermorvant. Integrated DH. Rationale of the HORAE Research Project.. Digital Humanities Conference, Jul 2019, Utrecht, Netherlands. ⟨hal-02401696⟩
  • Mélodie Boillet, Marie-Laurence Bonhomme, Dominique Stutzmann, Christopher Kermorvant. HORAE: an annotated dataset of books of hours. the 5th International Workshop on Historical Document Imaging and Processing, Sep 2019, Sydney, Australia. pp.7-12, ⟨10.1145/3352631.3352633⟩. ⟨hal-02343254⟩
  • Emanuela Boroş, Alexis Toumi, Erwan Rouchet, Bastien Abadie, Dominique Stutzmann, et al.. Automatic page classification in a large collection of manuscripts based on the International Image Interoperability Framework. 2019 International Conference on Document Analysis and Recognition (ICDAR), Sep 2019, Sydney, Australia. pp.756-762, ⟨10.1109/ICDAR.2019.00126⟩. ⟨hal-02426404⟩
  • Dominique Stutzmann, Christopher Kermorvant, Enrique Vidal, Sukalpa Chanda, Sébastien Hamel, et al.. Handwritten Text Recognition, Keyword Indexing, and Plain Text Search in Medieval Manuscripts. Digital Humanities 2018 Puentes-Bridges, Jun 2018, Mexico, Mexico. p. 298-302. ⟨hal-01855327⟩
  • Bastien Moysset, Christopher Kermorvant, Christian Wolf. Full-Page Text Recognition: Learning Where to Start and When to Stop. International Conference on Document Analysis and Recognition, Nov 2017, Kyoto, Japan. ⟨hal-01563124⟩
  • Bastien Moysset, Christopher Kermorvant, Christian Wolf. Full-Page Text Recognition: Learning Where to Start and When to Stop. 14th IAPR International Conference on Document Analysis and Recognition, Nov 2017, Kyoto, France. pp.871-876, ⟨10.1109/ICDAR.2017.147⟩. ⟨hal-02343274⟩
  • Théodore Bluche, Christopher Kermorvant, Claude Touzet, Hervé Glotin. Cortical-Inspired Open-Bigram Representation for Handwritten Word Recognition. 14th IAPR International Conference on Document Analysis and Recognition, Nov 2017, Kyoto, France. pp.73-78, ⟨10.1109/ICDAR.2017.21⟩. ⟨hal-02343275⟩
  • Théodore Bluche, Sébastien Hamel, Christopher Kermorvant, Joan Puigcerver, Dominique Stutzmann, et al.. Preparatory KWS Experiments for Large-Scale Indexing of a Vast Medieval Manuscript Collection in the HIMANIS Project. 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Nov 2017, Kyoto, France. ⟨10.1109/ICDAR.2017.59⟩. ⟨halshs-01853682⟩
  • Théodore Bluche, Dominique Stutzmann, Christopher Kermorvant. Automatic Handwritten Character Segmentation for Paleographical Character Shape Analysis. 2016 12th IAPR Workshop on Document Analysis Systems (DAS), Apr 2016, Santorini, France. pp.42-47, ⟨10.1109/DAS.2016.74⟩. ⟨hal-02425715⟩
  • Bastien Moysset, Jérôme Louradour, Christopher Kermorvant, Christian Wolf. Learning text-line localization with shared and local regression neural networks. International Conference on Frontiers in Handwriting Recognition, Oct 2016, Shenzhen, China. ⟨hal-01345713⟩
  • Dominique Stutzmann, Théodore Bluche, Alexei Lavrentiev, Yann Leydier, Christopher Kermorvant. From Text and Image to Historical Resource: Text-Image Alignment for Digital Humanists. DH2015 Global Digital Humanities, University of Western Sydney, Jun 2015, Sydney, Australia. ⟨hal-01855337⟩
  • Bastien Moysset, Christopher Kermorvant, Christian Wolf, Jérôme Louradour. Paragraph text segmentation into lines with Recurrent Neural Networks. International Conference on Document Analysis and Recognition, Aug 2015, Tunisia, Tunisia. ⟨hal-01151760⟩
  • Anne-Laure Bianne, Christopher Kermorvant, Laurence Likforman-Sulem. Modélisation de HMMs en contexte avec des arbres de décision pour la reconnaissance de mots manuscrits. Colloque International Francophone sur l'Ecrit et le Document (CIFED2010), Mar 2010, Sousse, Tunisie. ⟨hal-00488743⟩

Book sections1 document

  • Claude Touzet, Christopher Kermorvant, Hervé Glotin. A Biologically Plausible SOM Representation of the Orthographic Form of 50,000 French Words. Advances in Self-Organizing Maps and Learning Vector Quantization, 295, Springer pp.303-312, 2014, AISC ⟨10.1007/978-3-319-07695-9_29⟩. ⟨hal-01338033⟩

Reports3 documents

  • Bastien Moysset, Christopher Kermorvant, Christian Wolf. Learning to detect and localize many objects from few examples. [Research Report] INSA-Lyon; LIRIS; A2IA. 2016. ⟨hal-01399159⟩
  • Hervé Glotin, Xanadu Halkias, Christopher Kermorvant. General Sparse Penalty in Deep Belief Networks: Towards Domain Adaptation. [Rapport de recherche] USTV. 2013. ⟨hal-01488784⟩
  • Xanadu Halkias, Hervé Glotin, Christopher Kermorvant. Evolution of Sparse Constraints in Deep AI: From a general sparse penalty to Structured Sparsity. [Rapport de recherche] USTV. 2013. ⟨hal-01488783⟩