11 citations · 15 across the 19 of their papers we have counts for
23 papers
Unapologetically Distributed: A Call for Decentralized Document Analysis
Adrià Molina, Oriol Ramos Terrades, Josep Lladós
Privacy has become an increasingly important concern in the Document Analysis community, to the extent that in many environments such as archives, governmental institutions, and lo…
Composed Historical Image Retrieval by Modeling Temporal Representations
Adrià Molina Rodríguez, Oriol Ramos Terrades, Josep Lladós Canet
While time evolves linearly, the geometry of neural embedding spaces is inherently multi-dimensional, often chaotic, and difficult to interpret. In principle, one could constrain a…
Robust Interpretation of Historical Documents in Knowledge Graphs Through Query Inference and Execution
Sebastià Nicolau, Adrià Molina, Oriol Ramos Terrades +1
The emergence of Large Language Models (LLMs) has redefined how users interact with information in digital environments. However, their widespread and often indiscriminate integrat…
Temporal Modeling of Optically Variable Devices in Identity Documents
Glen Pouliquen, Joseph Chazalon, Guillaume Chiron +3
Robust remote verification of identity documents relies on analyzing faint, transparent security features like Optically Variable Devices (OVDs), or "holograms", within user-captur…
Visual Model Checking: Graph-Based Inference of Visual Routines for Image Retrieval
Adrià Molina, Oriol Ramos Terrades, Josep Lladós
Information retrieval lies at the foundation of the modern digital industry. While natural language search has seen dramatic progress in recent years largely driven by embedding-ba…
ODE-ViT: Plug & Play Attention Layer from the Generalization of the ViT as an Ordinary Differential Equation
Carlos Boned Riera, David Romero Sanchez, Oriol Ramos Terrades
In recent years, increasingly large models have achieved outstanding performance across CV tasks. However, these models demand substantial computational resources and storage, and…
LLM-Driven Medical Document Analysis: Enhancing Trustworthy Pathology and Differential Diagnosis
Lei Kang, Xuanshuo Fu, Oriol Ramos Terrades +3
Medical document analysis plays a crucial role in extracting essential clinical insights from unstructured healthcare records, supporting critical tasks such as differential diagno…
The OCR Quest for Generalization: Learning to recognize low-resource alphabets with model editing
Adrià Molina Rodríguez, Oriol Ramos Terrades, Josep Lladós
Achieving robustness in recognition systems across diverse domains is crucial for their practical utility. While ample data availability is usually assumed, low-resource languages,…
Structured Analysis and Comparison of Alphabets in Historical Handwritten Ciphers
Martín Méndez, Pau Torras, Adrià Molina +3
Historical ciphered manuscripts are documents that were typically used in sensitive communications within military and diplomatic contexts or among members of secret societies. The…
Recurrent Few-Shot model for Document Verification
Maxime Talarmain, Carlos Boned, Sanket Biswas +1
General-purpose ID, or travel, document image- and video-based verification systems have yet to achieve good enough performance to be considered a solved problem. There are several…
The Role of Generative Systems in Historical Photography Management: A Case Study on Catalan Archives
Èric Śanchez, Adrià Molina, Oriol Ramos Terrades
The use of image analysis in automated photography management is an increasing trend in heritage institutions. Such tools alleviate the human cost associated with the manual and ex…
Fetch-A-Set: A Large-Scale OCR-Free Benchmark for Historical Document Retrieval
Adrià Molina, Oriol Ramos Terrades, Josep Lladós
This paper introduces Fetch-A-Set (FAS), a comprehensive benchmark tailored for legislative historical document analysis systems, addressing the challenges of large-scale document…
Synthetic dataset of ID and Travel Document
Carlos Boned, Maxime Talarmain, Nabil Ghanmi +4
This paper presents a new synthetic dataset of ID and travel documents, called SIDTD. The SIDTD dataset is created to help training and evaluating forged ID documents detection sys…
GlobalDoc: A Cross-Modal Vision-Language Framework for Real-World Document Image Retrieval and Classification
Souhail Bakkali, Sanket Biswas, Zuheng Ming +4
Visual document understanding (VDU) has rapidly advanced with the development of powerful multi-modal language models. However, these models typically require extensive document pr…
VLCDoC: Vision-Language Contrastive Pre-Training Model for Cross-Modal Document Classification
Souhail Bakkali, Zuheng Ming, Mickael Coustaty +2
Multimodal learning from document data has achieved great success lately as it allows to pre-train semantically meaningful features as a prior into a learnable downstream task. In…
A Generic Image Retrieval Method for Date Estimation of Historical Document Collections
Adrià Molina, Lluis Gomez, Oriol Ramos Terrades +1
Date estimation of historical document images is a challenging problem, with several contributions in the literature that lack of the ability to generalize from one dataset to othe…
Date Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach
Adrià Molina, Pau Riba, Lluis Gomez +2
This paper presents a novel method for date estimation of historical photographs from archival sources. The main contribution is to formulate the date estimation as a retrieval tas…
Learning to Rank Words: Optimizing Ranking Metrics for Word Spotting
Pau Riba, Adrià Molina, Lluis Gomez +2
In this paper, we explore and evaluate the use of ranking-based objective functions for learning simultaneously a word string and a word image encoder. We consider retrieval framew…
Knowledge graph based methods for record linkage
B. Gautam, O. Ramos Terrades, J. M. Pujades +1
Nowadays, it is common in Historical Demography the use of individual-level data as a consequence of a predominant life-course approach for the understanding of the demographic beh…
A flexible outlier detector based on a topology given by graph communities
O. Ramos Terrades, A. Berenguel, D. Gil
Outlier, or anomaly, detection is essential for optimal performance of machine learning methods and statistical predictive models. It is not just a technical step in a data cleanin…
Identity Document and banknote security forensics: a survey
Albert Berenguel Centeno, Oriol Ramos Terrades, Josep Lladós Canet +1
Counterfeiting and piracy are a form of theft that has been steadily growing in recent years. Banknotes and identity documents are two common objects of counterfeiting. Aiming to d…
A probabilistic framework for handwritten text line segmentation
Francisco Cruz, Oriol Ramos Terrades
We successfully combine Expectation-Maximization algorithm and variational approaches for parameter learning and computing inference on Markov random felds. This is a general metho…
e-Counterfeit: a mobile-server platform for document counterfeit detection
Albert Berenguel, Oriol Ramos Terrades, Josep Lladós +1
This paper presents a novel application to detect counterfeit identity documents forged by a scan-printing operation. Texture analysis approaches are proposed to extract validation…