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09/11/2023
TransferDoc: A Self-Supervised Transferable Document Representation Learning Model Unifying Vision and Language
The field of visual document understanding has witnessed a rapid growth ...
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05/08/2023
SwinDocSegmenter: An End-to-End Unified Domain Adaptive Transformer for Document Instance Segmentation
Instance-level segmentation of documents consists in assigning a class-a...
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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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08/23/2022
Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural Networks
Geometric Deep Learning has recently attracted significant interest in a...
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04/08/2022
A Generic Image Retrieval Method for Date Estimation of Historical Document Collections
Date estimation of historical document images is a challenging problem, ...
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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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01/27/2022
DocSegTr: An Instance-Level End-to-End Document Image Segmentation Transformer
Understanding documents with rich layouts is an essential step towards i...
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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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09/24/2021
Localizing Infinity-shaped fishes: Sketch-guided object localization in the wild
This work investigates the problem of sketch-guided object localization ...
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07/09/2021
Graph-based Deep Generative Modelling for Document Layout Generation
One of the major prerequisites for any deep learning approach is the ava...
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07/06/2021
DocSynth: A Layout Guided Approach for Controllable Document Image Synthesis
Despite significant progress on current state-of-the-art image generatio...
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06/10/2021
Date Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach
This paper presents a novel method for date estimation of historical pho...
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06/09/2021
Learning to Rank Words: Optimizing Ranking Metrics for Word Spotting
In this paper, we explore and evaluate the use of ranking-based objectiv...
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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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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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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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04/06/2019
Doodle to Search: Practical Zero-Shot Sketch-based Image Retrieval
In this paper, we investigate the problem of zero-shot sketch-based imag...
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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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04/28/2018
Learning Cross-Modal Deep Embeddings for Multi-Object Image Retrieval using Text and Sketch
In this work we introduce a cross modal image retrieval system that allo...
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03/16/2018
Joint Recognition of Handwritten Text and Named Entities with a Neural End-to-end Model
When extracting information from handwritten documents, text transcripti...
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01/22/2018
Wikipedia in academia as a teaching tool: from averse to proactive faculty profiles
This study concerned the active use of Wikipedia as a teaching tool in t...
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07/07/2017
SigNet: Convolutional Siamese Network for Writer Independent Offline Signature Verification
Offline signature verification is one of the most challenging tasks in b...
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02/01/2017
Product Graph-based Higher Order Contextual Similarities for Inexact Subgraph Matching
Many algorithms formulate graph matching as an optimization of an object...
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04/21/2016
Evaluation of the Effect of Improper Segmentation on Word Spotting
Word spotting is an important recognition task in historical document an...
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04/20/2016
Local Binary Pattern for Word Spotting in Handwritten Historical Document
Digital libraries store images which can be highly degraded and to index...
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04/30/2010
