activity
20212026
collaborators

10 papers

cs.CV2026

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…

cs.IR2026

Robust Interpretation of Historical Documents in Knowledge Graphs Through Query Inference and Execution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…

cs.AI2026

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…

cs.LG2025

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,…

cs.CV2024

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…

cs.CV2024

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…

cs.IR2024

Fetch-A-Set: A Large-Scale OCR-Free Benchmark for Historical Document Retrieval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This paper introduces Fetch-A-Set (FAS), a comprehensive benchmark tailored for legislative historical document analysis systems, addressing the challenges of large-scale document…

cs.CV2022

A Generic Image Retrieval Method for Date Estimation of Historical Document Collections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…

cs.CV2021

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…

cs.CV2021

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…