Denis Coquenet

Orcid: 0000-0001-5203-9423

According to our database1, Denis Coquenet authored at least 14 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
N-gram Injection into Transformers for Dynamic Language Model Adaptation in Handwritten Text Recognition.
CoRR, March, 2026

Meta-DAN: Towards an efficient prediction strategy for page-level handwritten text recognition.
Pattern Recognit., 2026

2025
Are Time Series Foundation Models Susceptible to Catastrophic Forgetting?
CoRR, October, 2025

How Foundational are Foundation Models for Time Series Forecasting?
CoRR, October, 2025

Relaxed Syntax Modeling in Transformers for Future-Proof License Plate Recognition.
Proceedings of the Document Analysis and Recognition - ICDAR 2025, 2025

2023
DAN: A Segmentation-Free Document Attention Network for Handwritten Document Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

End-to-End Handwritten Paragraph Text Recognition Using a Vertical Attention Network.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks.
CoRR, 2023

Faster DAN: Multi-target Queries with Document Positional Encoding for End-to-End Handwritten Document Recognition.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

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

Towards End-to-end Handwritten Document Recognition.
CoRR, 2022

2021
SPAN: A Simple Predict & Align Network for Handwritten Paragraph Recognition.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

2020
Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network.
Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020

2019
Have Convolutions Already Made Recurrence Obsolete for Unconstrained Handwritten Text Recognition?
Proceedings of the Second International Workshop on Machine Learning, 2019


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