16 citations · 54 across the 7 of their papers we have counts for
7 papers
Online Handwriting Trajectory Reconstruction from Kinematic Sensors using Temporal Convolutional Network
Wassim Swaileh, Florent Imbert, Yann Soullard +2
Handwriting with digital pens is a common way to facilitate human-computer interaction through the use of Online Handwriting (OH) trajectory reconstruction. In this work, we focus…
N-gram Injection into Transformers for Dynamic Language Model Adaptation in Handwritten Text Recognition
Florent Meyer, Laurent Guichard, Yann Soullard +3
Transformer-based encoder-decoder networks have recently achieved impressive results in handwritten text recognition, partly thanks to their auto-regressive decoder which implicitl…
Relaxed syntax modeling in Transformers for future-proof license plate recognition
Florent Meyer, Laurent Guichard, Denis Coquenet +3
Effective license plate recognition systems are required to be resilient to constant change, as new license plates are released into traffic daily. While Transformer-based networks…
Have convolutions already made recurrence obsolete for unconstrained handwritten text recognition ?
Denis Coquenet, Yann Soullard, Clément Chatelain +1
Unconstrained handwritten text recognition remains an important challenge for deep neural networks. These last years, recurrent networks and more specifically Long Short-Term Memor…
Time Series Alignment with Global Invariances
Titouan Vayer, Romain Tavenard, Laetitia Chapel +3
Multivariate time series are ubiquitous objects in signal processing. Measuring a distance or similarity between two such objects is of prime interest in a variety of applications,…
CTCModel: a Keras Model for Connectionist Temporal Classification
Yann Soullard, Cyprien Ruffino, Thierry Paquet
We report an extension of a Keras Model, called CTCModel, to perform the Connectionist Temporal Classification (CTC) in a transparent way. Combined with Recurrent Neural Networks,…
A Unified Multilingual Handwriting Recognition System using multigrams sub-lexical units
Wassim Swaileh, Yann Soullard, Thierry Paquet
We address the design of a unified multilingual system for handwriting recognition. Most of multi- lingual systems rests on specialized models that are trained on a single language…