Description We introduce LPR-MNIST, a synthetic dataset replicating the key aspects of syntax evolution on vehicle license plates. LPR-MNIST is a collection of 100,000 synthetic image-text pairs, generated by concatenating 5 black-and-white digits from MNIST, each padded to 32 x 32. 32 pixels of zero-padding are then randomly shared between…
The Synthetic Text line Image Generator (STIG) is a software dedicated to handwritten textline generation. It is available for free under conditions (see below). Description The Synthetic Text line Image Generator is a Python code dedicated to the generation of synthetic handwritten textline images. The software can generate textlines looking…
The Modular Light Transformer (MLT) is a software dedicated to text recognition. It is available for free under conditions (see below). Description The Modular Light Transformer is a software dedicated to text recognition. It is based on a lightweight Transformer-based neural network dealing with text-line images. The proposed software is…
Defended on November 22th 2024 Design of a deep neural network architecture dedicated to handwriting synthesis from kinematic sensors of a digital pen This thesis focuses on a digital pen equipped with kinematic sensors, and its aim is to reconstruct the in-line trace of handwriting. We introduce a new processing…
Defended on Decembre 20th 2023 Architectures de Transformer légères pour la reconnaissance de textes manuscrits anciens Transformer architectures deliver low error rates but are challenging to train due to limited annotated data in handwritten text recognition. We propose lightweight Transformer architectures to adapt to the limited amounts of annotated handwritten…
The aim of this thesis will be to look at self-supervised learning in order to take advantage of unsu-pervised examples for handwriting recognition. In recent years, a great deal of work has focused onself-supervised approaches for network pre-training. Starting with a pretext task that does not requiremanual annotation, the model…
AMI “Digital demonstrators in higher education” / AIR project- Increasing Interaction in Rennes IntuiNOTE is an integrated digital solution for higher education that encourages active learning in synchronous mode using a variety of features: handwritten annotations, quizzes allowing rich questions/answers that can be handwritten (diagrams, equations, etc.) or shared whiteboards…
Beginning of the PhD: 01/10/2025 Place: IRISA – Rennes Laboratory Description of the subject : https://www.irisa.fr/phd-subject/2024-01/generic-optical-music-recognition-combining-complex-syntactic-rules-and-end-end Supervision : – A. Lemaitre (aurelie.lemaitre@irisa.fr)– B. Coüasnon (bertrand.couasnon@irisa.fr)– D. Coquenet (denis.coquenet@irisa.fr)
Supervisors: E. Anquetil (eric.anquetil@irisa.fr ), Professor at INSA Rennes, Shadoc team. N. Girard (nathalie.girard@irisa.fr), Lecturer at the University of Rennes, Shadoc team. Location: IRISA laboratory, Shadoc, Rennes Keywords: Intelligent Tutorial Systems, Artificial Intelligence, interpretation of semi-structured handwritten documents, two-dimensional visual grammars, sketching, pedagogy, e-education, pen- based tablets The Shadoc (formerly…
Defended on Decembre 15th 2023 Réseaux de Neurones à Convolution Spatio-Temporelle pour l’Analyse et la Reconnaissance Précoce d’Actions et de Gestes Sujet Ce travail de recherche se concentre sur la reconnaissance précoce de gestes dans le domaine de l’interaction homme-machine. Il s’inscrit dans le cadre d’une collaboration entre deux équipes…
