Josep Llados

Director, Computer Vision Center, Universitat Autónoma de Barcelona

Associate Professor, Computer Science, Universitat Autónoma de Barcelona

Joined

November 2022

Names

Josep Llados (Preferred)

Emails

****@cvc.uab.es (Confirmed)

****@cvc.uab.cat (Confirmed)

****@uab.cat (Confirmed)

Personal Links

Career & Education History

Director

Computer Vision Center, Universitat Autónoma de Barcelona (cvc.uab.es)

2009 – Present

Associate Professor

Computer Science, Universitat Autónoma de Barcelona (uab.es)

2000 – Present

Advisors, Relations & Conflicts

Coworker

Dimosthenis Karatzas

Present

Coworker

Alicia Fornés

Present

Coworker

Ernest Valveny

Present

Expertise

Document Intelligence

Document Analysis

Document Recognition

Graph Based Representations

Graph Neural Networks

Graph Representation Learning

Present

Publications

CraftGraffiti: Exploring Human Identity with Custom Graffiti Art via Facial-Preserving Diffusion Models
Ayan Banerjee, Fernando Vilariño, Josep Llados
- NeurIPS Creative AI Track 2025
- Readers: Everyone
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA
Marlon Tobaben, Mohamed Ali Souibgui, Rubèn Tito, Khanh Nguyen, Raouf Kerkouche, Kangsoo Jung, Joonas Jälkö, Lei Kang, Andrey Barsky, Vincent Poulain d'Andecy, Aurélie JOSEPH, Aashiq Muhamed, Kevin Kuo, Virginia Smith, Yusuke Yamasaki, Takumi Fukami, Kenta Niwa, Iifan Tyou, Hiro Ishii, Rio Yokota et al. (7 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA
Marlon Tobaben, Mohamed Ali Souibgui, Rubèn Tito, Khanh Nguyen, Raouf Kerkouche, Kangsoo Jung, Joonas Jälkö, Lei Kang, Andrey Barsky, Vincent Poulain d'Andecy, Aurélie JOSEPH, Aashiq Muhamed, Kevin Kuo, Virginia Smith, Yusuke Yamasaki, Takumi Fukami, Kenta Niwa, Iifan Tyou, Hiro Ishii, Rio Yokota et al. (7 additional authors not shown)
- Submitted to NeurIPS 2024 Track Datasets and Benchmarks
- Readers: Everyone
Table detection in business document images by message passing networks
Pau Riba, Lutz Goldmann, Oriol Ramos Terrades, Diede Rusticus, Alicia Fornés, Josep Lladós
- 2022 (modified: 01 Nov 2022)
- Pattern Recognit. 2022
- Readers: Everyone
Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural Networks
Andrea Gemelli, Sanket Biswas, Enrico Civitelli, Josep Lladós, Simone Marinai
- 2022 (modified: 01 Nov 2022)
- CoRR 2022
- Readers: Everyone
Text-DIAE: Degradation Invariant Autoencoders for Text Recognition and Document Enhancement
Mohamed Ali Souibgui, Sanket Biswas, Andrés Mafla, Ali Furkan Biten, Alicia Fornés, Yousri Kessentini, Josep Lladós, Lluís Gómez, Dimosthenis Karatzas
- 2022 (modified: 01 Nov 2022)
- CoRR 2022
- Readers: Everyone
One-shot Compositional Data Generation for Low Resource Handwritten Text Recognition
Mohamed Ali Souibgui, Ali Furkan Biten, Sounak Dey, Alicia Fornés, Yousri Kessentini, Lluís Gómez, Dimosthenis Karatzas, Josep Lladós
- 2022 (modified: 01 Nov 2022)
- WACV 2022
- Readers: Everyone
DocEnTr: An End-to-End Document Image Enhancement Transformer
Mohamed Ali Souibgui, Sanket Biswas, Sana Khamekhem Jemni, Yousri Kessentini, Alicia Fornés, Josep Lladós, Umapada Pal
- 2022 (modified: 01 Nov 2022)
- CoRR 2022
- Readers: Everyone
A Generic Image Retrieval Method for Date Estimation of Historical Document Collections
Adrià Molina, Lluís Gómez, Oriol Ramos Terrades, Josep Lladós
- 2022 (modified: 01 Nov 2022)
- DAS 2022
- Readers: Everyone
DocSegTr: An Instance-Level End-to-End Document Image Segmentation Transformer
Sanket Biswas, Ayan Banerjee, Josep Lladós, Umapada Pal
- 2022 (modified: 01 Nov 2022)
- CoRR 2022
- Readers: Everyone

View all 115 publications

Co-Authors

View all 117 co-authors