181 citations · 399 across the 14 of their papers we have counts for
17 papers
Conversational Retrieval and On-the-Fly Knowledge Modeling of Historical Penitentiary Repression Records
Paula Font Solà, Adrià Molina Rodríguez, Josep Lladós
Recent developments in digital libraries increasingly favor conversational and natural language access to information through Retrieval-Augmented Generation (RAG). Although these a…
DocRevive: A Unified Pipeline for Document Text Restoration
Kunal Purkayastha, Ayan Banerjee, Josep Llados +1
In Document Understanding, the challenge of reconstructing damaged, occluded, or incomplete text remains a critical yet unexplored problem. Subsequent document understanding tasks…
NoTeS-Bank: Benchmarking Neural Transcription and Search for Scientific Notes Understanding
Aniket Pal, Sanket Biswas, Alloy Das +6
Understanding and reasoning over academic handwritten notes remains a challenge in document AI, particularly for mathematical equations, diagrams, and scientific notations. Existin…
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA
Marlon Tobaben, Mohamed Ali Souibgui, Rubèn Tito +24
The Privacy Preserving Federated Learning Document VQA (PFL-DocVQA) competition challenged the community to develop provably private and communication-efficient solutions in a fede…
Easing Automatic Neurorehabilitation via Classification and Smoothness Analysis
Asma Bensalah, Alicia Fornés, Cristina Carmona-Duarte +1
Assessing the quality of movements for post-stroke patients during the rehabilitation phase is vital given that there is no standard stroke rehabilitation plan for all the patients…
Towards Stroke Patients' Upper-limb Automatic Motor Assessment Using Smartwatches
Asma Bensalah, Jialuo Chen, Alicia Fornés +3
Assessing the physical condition in rehabilitation scenarios is a challenging problem, since it involves Human Activity Recognition (HAR) and kinematic analysis methods. In additio…
Localizing Infinity-shaped fishes: Sketch-guided object localization in the wild
Pau Riba, Sounak Dey, Ali Furkan Biten +1
This work investigates the problem of sketch-guided object localization (SGOL), where human sketches are used as queries to conduct the object localization in natural images. In th…
Doodle to Search: Practical Zero-Shot Sketch-based Image Retrieval
Sounak Dey, Pau Riba, Anjan Dutta +2
In this paper, we investigate the problem of zero-shot sketch-based image retrieval (ZS-SBIR), where human sketches are used as queries to conduct retrieval of photos from unseen c…
Hierarchical stochastic graphlet embedding for graph-based pattern recognition
Anjan Dutta, Pau Riba, Josep Lladós +1
Despite being very successful within the pattern recognition and machine learning community, graph-based methods are often unusable because of the lack of mathematical operations d…
Learning Cross-Modal Deep Embeddings for Multi-Object Image Retrieval using Text and Sketch
Sounak Dey, Anjan Dutta, Suman K. Ghosh +3
In this work we introduce a cross modal image retrieval system that allows both text and sketch as input modalities for the query. A cross-modal deep network architecture is formul…
Joint Recognition of Handwritten Text and Named Entities with a Neural End-to-end Model
Manuel Carbonell, Mauricio Villegas, Alicia Fornés +1
When extracting information from handwritten documents, text transcription and named entity recognition are usually faced as separate subsequent tasks. This has the disadvantage th…
Wikipedia in academia as a teaching tool: from averse to proactive faculty profiles
Julià Minguillón, Eduard Aibar, Maura Lerga +2
This study concerned the active use of Wikipedia as a teaching tool in the classroom in higher education, trying to identify different usage profiles and their characterization. A…
SigNet: Convolutional Siamese Network for Writer Independent Offline Signature Verification
Sounak Dey, Anjan Dutta, J. Ignacio Toledo +3
Offline signature verification is one of the most challenging tasks in biometrics and document forensics. Unlike other verification problems, it needs to model minute but critical…
Product Graph-based Higher Order Contextual Similarities for Inexact Subgraph Matching
Anjan Dutta, Josep Lladós, Horst Bunke +1
Many algorithms formulate graph matching as an optimization of an objective function of pairwise quantification of nodes and edges of two graphs to be matched. Pairwise measurement…
Evaluation of the Effect of Improper Segmentation on Word Spotting
Sounak Dey, Anguelos Nicolaou, Josep Llados +1
Word spotting is an important recognition task in historical document analysis. In most cases methods are developed and evaluated assuming perfect word segmentations. In this paper…
Local Binary Pattern for Word Spotting in Handwritten Historical Document
Sounak Dey, Anguelos Nicolaou, Josep Llados +1
Digital libraries store images which can be highly degraded and to index this kind of images we resort to word spot- ting as our information retrieval system. Information retrieval…
Employing fuzzy intervals and loop-based methodology for designing structural signature: an application to symbol recognition
Muhammad Muzzamil Luqman, Mathieu Delalandre, Thierry Brouard +2
Motivation of our work is to present a new methodology for symbol recognition. We support structural methods for representing visual associations in graphic documents. The proposed…