Have Convolutions Already Made Recurrence Obsolete for Unconstrained Handwritten Text Recognition? - Denis Coquenet; Yann Soullard; Clément Chatelain 001; Thierry Paquet (WML@ICDAR, 2019)

Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network. - Denis Coquenet; Clément Chatelain 001; Thierry Paquet (ICFHR, 2020)

SPAN: A Simple Predict & Align Network for Handwritten Paragraph Recognition. - Denis Coquenet; Clément Chatelain 001; Thierry Paquet (ICDAR (3), 2021)

Towards End-to-end Handwritten Document Recognition. - Denis Coquenet (CoRR, 2022)

Towards End-to-end Handwritten Document Recognition. (Vers la reconnaissance de bout-en-bout de documents manuscrits). - Denis Coquenet (2022)

Faster DAN: Multi-target Queries with Document Positional Encoding for End-to-End Handwritten Document Recognition. - Denis Coquenet; Clément Chatelain 001; Thierry Paquet (ICDAR (4), 2023)

Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks. - Denis Coquenet; Clément Rambour; Emanuele Dalsasso; Nicolas Thome (CoRR, 2023)

End-to-End Handwritten Paragraph Text Recognition Using a Vertical Attention Network. - Denis Coquenet; Clément Chatelain 001; Thierry Paquet (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

DAN: A Segmentation-Free Document Attention Network for Handwritten Document Recognition. - Denis Coquenet; Clément Chatelain 001; Thierry Paquet (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Meta-DAN: towards an efficient prediction strategy for page-level handwritten text recognition. - Denis Coquenet (CoRR, 2025)

Relaxed syntax modeling in Transformers for future-proof license plate recognition. - Florent Meyer; Laurent Guichard; Denis Coquenet; Guillaume Gravier; Yann Soullard; Bertrand Coüasnon (CoRR, 2025)