World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5654
World Ranking
10779
National Ranking
173

Overview

Josep Lladós is affiliated with the Autonomous University of Barcelona in Spain and has an extensive body of work in computer science, with a strong focus on computer vision and pattern recognition. Their research covers various aspects of artificial intelligence, cognitive neuroscience, media technology, and human-computer interaction, emphasizing the application of advanced techniques in image processing and document analysis.

The primary areas of study for Josep Lladós include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Cognitive Neuroscience
  • Media Technology
  • Human-Computer Interaction

The main topics explored by their work are:

  • Handwritten Text Recognition Techniques
  • Natural Language Processing Techniques
  • Topic Modeling
  • Advanced Image and Video Retrieval Techniques
  • Image Retrieval and Classification Techniques
  • Image Processing and 3D Reconstruction
  • Human Pose and Action Recognition

Josep Lladós has contributed to a variety of recent publications, including:

  • "DocEnTr: An End-to-End Document Image Enhancement Transformer," 2022, 26th International Conference on Pattern Recognition (ICPR)
  • "Beyond document object detection: instance-level segmentation of complex layouts," 2021, International Journal on Document Analysis and Recognition (IJDAR)
  • "Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document Enhancement," 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Table detection in business document images by message passing networks," 2022, Pattern Recognition
  • "One-shot Compositional Data Generation for Low Resource Handwritten Text Recognition," 2022, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

The scientific collaborations of Josep Lladós include frequent partnerships with the following researchers:

  • Sanket Biswas
  • Umapada Pal
  • Alícia Fornés
  • Oriol Ramos Terrades
  • Pau Riba

Publications by Josep Lladós have appeared in notably recognized venues such as:

  • arXiv (Cornell University)
  • Lecture Notes in Computer Science
  • International Journal on Document Analysis and Recognition (IJDAR)
  • 26th International Conference on Pattern Recognition (ICPR)
  • Pattern Recognition

Best Publications

  • Symbol recognition by error-tolerant subgraph matching between region adjacency graphs

    J. Llados;E. Marti;J.J. Villanueva

  • Symbol Recognition: Current Advances and Perspectives

    Josep Lladós;Ernest Valveny;Gemma Sánchez;Enric Martí

  • Doodle to Search: Practical Zero-Shot Sketch-Based Image Retrieval

    Sounak Dey;Pau Riba;Anjan Dutta;Josep Llados Llados

  • SigNet: Convolutional Siamese Network for Writer Independent Offline Signature Verification

    Sounak Dey;Anjan Dutta;J. Ignacio Toledo;Suman K. Ghosh

  • Browsing Heterogeneous Document Collections by a Segmentation-Free Word Spotting Method

    Marcal Rusinol;David Aldavert;Ricardo Toledo;Josep Llados

  • Efficient segmentation-free keyword spotting in historical document collections

    Marçal Rusiñol;David Aldavert;Ricardo Toledo;Josep Lladós

  • The ESPOSALLES database: An ancient marriage license corpus for off-line handwriting recognition

    VeróNica Romero;Alicia FornéS;NicoláS Serrano;Joan Andreu SáNchez

  • CVC-MUSCIMA: a ground truth of handwritten music score images for writer identification and staff removal

    Alicia Fornés;Anjan Dutta;Albert Gordo;Josep Lladós

  • Blurred Shape Model for binary and grey-level symbol recognition

    Sergio Escalera;Alicia Fornés;Oriol Pujol;Petia Radeva

  • Logo Spotting by a Bag-of-words Approach for Document Categorization

    Marçal Rusiñol;Josep Lladós

  • Table Detection in Invoice Documents by Graph Neural Networks

    Pau Riba;Anjan Dutta;Lutz Goldmann;Alicia Fornes

  • Integrating Visual and Textual Cues for Query-by-String Word Spotting

    David Aldavert;Marcal Rusinol;Ricardo Toledo;Josep Llados

  • Fuzzy multilevel graph embedding

    Muhammad Muzzamil Luqman;Jean-Yves Ramel;Josep Lladós;Thierry Brouard

  • Compact correlated features for writer independent signature verification

    Anjan Dutta;Umapada Pal;Josep Llados

  • Multi-Oriented and Multi-Sized Touching Character Segmentation Using Dynamic Programming

    Partha Pratim Roy;Umapada Pal;Josep Lladós;Mathieu Delalandre

  • A system to understand hand-drawn floor plans using subgraph isomorphism and Hough transform

    Josep Lladós;Jaime López-Krahe;Enric Martí

  • ON THE INFLUENCE OF WORD REPRESENTATIONS FOR HANDWRITTEN WORD SPOTTING IN HISTORICAL DOCUMENTS

    Josep Lladós;Marçal Rusiñol;Alicia Fornés;David Fernández

  • Multi-oriented Bangla and Devnagari text recognition

    Umapada Pal;Partha Pratim Roy;Nilamadhaba Tripathy;Josep Lladós

  • Writer Identification in Old Handwritten Music Scores

    A. Fornes;J. Llados;G. Sanchez;H. Bunke

  • The ICDAR 2011 Music Scores Competition: Staff Removal and Writer Identification

    Alicia Fornes;Anjan Dutta;Albert Gordo;Josep Llados

Frequent Co-Authors

Umapada Pal
Umapada Pal Indian Statistical Institute
Partha Pratim Roy
Partha Pratim Roy Indian Institute of Technology Dhanbad
Horst Bunke
Horst Bunke University of Bern
Dimosthenis Karatzas
Dimosthenis Karatzas Autonomous University of Barcelona
Sergio Escalera
Sergio Escalera University of Barcelona
Oriol Pujol
Oriol Pujol University of Barcelona
Petia Radeva
Petia Radeva University of Barcelona
Mohamed Cheriet
Mohamed Cheriet École de Technologie Supérieure
Réjean Plamondon
Réjean Plamondon Polytechnique Montréal

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