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03/16/2023
CSSL-MHTR: Continual Self-Supervised Learning for Scalable Multi-script Handwritten Text Recognition
Self-supervised learning has recently emerged as a strong alternative in...
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12/09/2022
The RPM3D project: 3D Kinematics for Remote Patient Monitoring
This project explores the feasibility of remote patient monitoring based...
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12/09/2022
Towards Stroke Patients' Upper-limb Automatic Motor Assessment Using Smartwatches
Assessing the physical condition in rehabilitation scenarios is a challe...
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09/21/2022
A Few Shot Multi-Representation Approach for N-gram Spotting in Historical Manuscripts
Despite recent advances in automatic text recognition, the performance r...
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04/12/2022
Content and Style Aware Generation of Text-line Images for Handwriting Recognition
Handwritten Text Recognition has achieved an impressive performance in p...
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03/09/2022
Text-DIAE: Degradation Invariant Autoencoders for Text Recognition and Document Enhancement
In this work, we propose Text-Degradation Invariant Auto Encoder (Text-D...
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01/25/2022
DocEnTr: An End-to-End Document Image Enhancement Transformer
Document images can be affected by many degradation scenarios, which cau...
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07/21/2021
Few Shots Is All You Need: A Progressive Few Shot Learning Approach for Low Resource Handwriting Recognition
Handwritten text recognition in low resource scenarios, such as manuscri...
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05/26/2021
Enhance to Read Better: An Improved Generative Adversarial Network for Handwritten Document Image Enhancement
Handwritten document images can be highly affected by degradation for di...
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05/11/2021
One-shot Compositional Data Generation for Low Resource Handwritten Text Recognition
Low resource Handwritten Text Recognition (HTR) is a hard problem due to...
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09/26/2020
A Few-shot Learning Approach for Historical Ciphered Manuscript Recognition
Encoded (or ciphered) manuscripts are a special type of historical docum...
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08/17/2020
Learning Graph Edit Distance by Graph Neural Networks
The emergence of geometric deep learning as a novel framework to deal wi...
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05/26/2020
Pay Attention to What You Read: Non-recurrent Handwritten Text-Line Recognition
The advent of recurrent neural networks for handwriting recognition mark...
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03/05/2020
GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images
Although current image generation methods have reached impressive qualit...
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12/21/2019
Candidate Fusion: Integrating Language Modelling into a Sequence-to-Sequence Handwritten Word Recognition Architecture
Sequence-to-sequence models have recently become very popular for tackli...
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12/20/2019
TreyNet: A Neural Model for Text Localization, Transcription and Named Entity Recognition in Full Pages
In the last years, the consolidation of deep neural network architecture...
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09/18/2019
Unsupervised Writer Adaptation for Synthetic-to-Real Handwritten Word Recognition
Handwritten Text Recognition (HTR) is still a challenging problem becaus...
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07/08/2018
Hierarchical Stochastic Graphlet Embedding for Graph-based Pattern Recognition
Despite being very successful within the pattern recognition and machine...
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03/16/2018