End-to-end handwritten paragraph text recognition using a vertical attention network D Coquenet, C Chatelain, T Paquet IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 508-524, 2022 | 108 | 2022 |
DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition D Coquenet, C Chatelain, T Paquet IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 76 | 2023 |
Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network D Coquenet, C Chatelain, T Paquet 2020 17th International Conference on Frontiers in Handwriting Recognition …, 2020 | 45 | 2020 |
SPAN: a simple predict & align network for handwritten paragraph recognition D Coquenet, C Chatelain, T Paquet International Conference on Document Analysis and Recognition, 70-84, 2021 | 36 | 2021 |
Have convolutions already made recurrence obsolete for unconstrained handwritten text recognition? D Coquenet, Y Soullard, C Chatelain, T Paquet 2019 International conference on document analysis and recognition workshops …, 2019 | 26 | 2019 |
Faster DAN: Multi-target Queries with Document Positional Encoding for End-to-end Handwritten Document Recognition D Coquenet, C Chatelain, T Paquet International Conference on Document Analysis and Recognition, 182-199, 2023 | 9 | 2023 |
Τοwards Εnd-tο-end Ηandwritten Dοcument Recοgnitiοn D Coquenet Normandie Université, 2022 | 2* | 2022 |
Handwritten text recognition: from isolated text lines to whole documents D Coquenet, C Chatelain, T Paquet ORASIS 2021, 2021 | 1 | 2021 |
Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks D Coquenet, C Rambour, E Dalsasso, N Thome arXiv preprint arXiv:2307.06795, 2023 | | 2023 |
Importance of recurrent layers for unconstrained handwriting recognition D Coquenet, Y Soullard, T Clément Chatelain | | 2019 |