Denis Coquenet

Post-doctorant
Bureau : 37.0E.31

2023

Articles de revue

  1. Coquenet, D.; Chatelain, C. and Paquet, T. DAN : a Segmentation-free Document Attention Network for Handwritten Document Recognition. In IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023. doi  www 

Chapitres d'ouvrage

  1. Coquenet, D.; Chatelain, C. and Paquet, T. Faster DAN: Multi-target Queries with Document Positional Encoding for End-to-end Handwritten Document Recognition. In Document Analysis and Recognition - ICDAR 2023, pages 182-199, Springer Nature Switzerland, Lecture Notes in Computer Science 14190, 2023. doi  www 

Non publié

  1. Coquenet, D.; Rambour, C.; Dalsasso, E. and Thome, N. Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks. , working paper or preprint. www 

2022

Articles de revue

  1. Coquenet, D.; Chatelain, C. and Paquet, T. End-to-end Handwritten Paragraph Text Recognition Using a Vertical Attention Network. In IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022. doi  www 

Thèses et habilitations

  1. Coquenet, D. Towards End-to-end Handwritten Document Recognition. Ph.D. Thesis, Université de Rouen Normandie, 2022.

2021

Chapitres d'ouvrage

  1. Coquenet, D.; Chatelain, C. and Paquet, T. SPAN: A Simple Predict & Align Network for Handwritten Paragraph Recognition. In International Conference on Document Analysis and Recognition, pages 70-84, 2021. doi  www 

Articles de conférence

  1. Coquenet, D.; Chatelain, C. and Paquet, T. Handwritten text recognition: from isolated text lines to whole documents. In ORASIS 2021, Saint Ferréol, France, 2021. www 

2020

Articles de conférence

  1. Coquenet, D.; Chatelain, C. and Paquet, T. Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network. In 2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR), pages 19-24, IEEE, Dortmund, Germany, 2020. doi  www 

2019

Articles de conférence

  1. Coquenet, D.; Soullard, Y.; Chatelain, C. and Paquet, T. Have Convolutions Already Made Recurrence Obsolete for Unconstrained Handwritten Text Recognition?. In 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW), pages 65-70, IEEE, Sydney, Australia, 2019. doi  www 
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