Juan M. Espín

According to our database, Juan M. Espín authored at least 20 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Multimodal Models Meet Presentation Attack Detection on ID Documents.

Marina Villanueva, Juan M. Espín, Juan E. Tapia

CoRR, March, 2026

2025

ID-Card Synthetic Generation: Toward a Simulated Bona fide Dataset.

Qingwen Zeng, Juan E. Tapia, Izan Garcia, Juan M. Espín, Christoph Busch

CoRR, August, 2025

Second Competition on Presentation Attack Detection on ID Card.

Juan E. Tapia, Mario Nieto, Juan M. Espín, Alvaro S. Rocamora, Javier Barrachina, Naser Damer, Christoph Busch, Marija Ivanovska, Leon Todorov, Renat Khizbullin, Lazar Lazarevich, Aleksei Grishin, Daniel Schulz, Sebastian Gonzalez, Amir Mohammadi, Ketan Kotwal, Sébastien Marcel, Raghavendra Mudgalgundurao, Kiran B. Raja, Patrick Schuch, Sushrut Patwardhan, Raghavendra Ramachandra, Pedro Couto Pereira, João Ribeiro Pinto, Mariana Xavier, Andres Valenzuela, Rodrigo Lara, Borut Batagelj, Marko Peterlin, Peter Peer, Ajnas Muhammed, Diogo Nunes, Nuno Gonçalves

CoRR, July, 2025

Second Competition on Presentation Attack Detection on ID Card.

Juan E. Tapia, Mario Nieto, Juan M. Espín, Alvaro S. Rocamora, Javier Barrachina, Naser Damer, Christoph Busch, Marija Ivanovska, Leon Todorov, Renat Khizbullin, Lazar Lazarevich, Aleksei Grishin, Daniel Schulz, Sebastian Gonzalez, Amir Mohammadi, Ketan Kotwal, Sébastien Marcel, Raghavendra Mudgalgundurao, Kiran Raja, Patrick Schuch, Sushrut Patwardhan, Raghavendra Ramachandra, Pedro Couto Pereira, João Ribeiro Pinto, Mariana Xavier, Andres Valenzuela, Rodrigo Lara, Borut Batagelj, Marko Peterlin, Peter Peer, Ajnas Muhammed, Diogo Nunes, Nuno Gonçalves

Proceedings of the IEEE International Joint Conference on Biometrics, 2025

Enhanced Deep Learning DeepFake Detection Integrating Handcrafted Features.

Alejandro Hinke-Navarro, Mario Nieto-Hidalgo, Juan M. Espín, Juan E. Tapia

Proceedings of the Computer Analysis of Images and Patterns, 2025

Online Augmentation for Presentation Attack Detection on ID Cards.

Félix Fernández, Juan E. Tapia, Juan Manuel Espín, Mario Nieto

Proceedings of the 24th International Conference of the Biometrics Special Interest Group, 2025

2024

Few-Shot Learning: Expanding ID Cards Presentation Attack Detection to Unknown ID Countries.

Alvaro S. Rocamora, Juan M. Espín, Juan E. Tapia

CoRR, 2024

Open-Set: ID Card Presentation Attack Detection Using Neural Style Transfer.

Reuben Markham, Juan Manuel Espín López, Mario Nieto-Hidalgo, Juan E. Tapia

IEEE Access, 2024

First Competition on Presentation Attack Detection on ID Card.

Juan E. Tapia, Naser Damer, Christoph Busch, Juan M. Espín, Javier Barrachina, Alvaro S. Rocamora, Kristof Ocvirk, Leon Alessio, Borut Batagelj, Sushrut Patwardhan, Raghavendra Ramachandra, Raghavendra Mudgalgundurao, Kiran B. Raja, Daniel Schulz, Carlos Aravena

Proceedings of the IEEE International Joint Conference on Biometrics, 2024

Few-Shot Learning: Expanding ID Cards Presentation Attack Detection to Unknown ID Countries.

Alvaro Sanchez, Juan M. Espín, Juan E. Tapia

Proceedings of the IEEE International Joint Conference on Biometrics, 2024

2023

CGAPP: A continuous group authentication privacy-preserving platform for industrial scene.

Juan Manuel Espín López, Alberto Huertas Celdrán, Francisco Esquembre, Gregorio Martínez Pérez, Javier G. Marín-Blázquez

J. Inf. Secur. Appl., November, 2023

Open-Set: ID Card Presentation Attack Detection using Neural Transfer Style.

Reuben Markham, Juan M. Espín, Mario Nieto-Hidalgo, Juan E. Tapia

CoRR, 2023

2022

A Supervised ML Biometric Continuous Authentication System for Industry 4.0.

Juan Manuel Espín López, Alberto Huertas Celdrán, Francisco Esquembre, Gregorio Martínez Pérez, Javier G. Marín-Blázquez

IEEE Trans. Ind. Informatics, 2022

2021

S3 dataset.

Juan Manuel Espín López, Alberto Huertas Celdrán, Javier G. Marín-Blázquez, Franscisco Esquembre Martínez, Gregorio Martínez Pérez

Dataset, April, 2021

S3: An AI-Enabled User Continuous Authentication for Smartphones Based on Sensors, Statistics and Speaker Information.

Juan Manuel Espín, Alberto Huertas Celdrán, Javier G. Marín-Blázquez, Francisco Esquembre, Gregorio Martínez Pérez

Sensors, 2021

PANACEA Cough Sound-Based Diagnosis of COVID-19 for the DiCOVA 2021 Challenge.

Madhu R. Kamble, José Andrés González López, Teresa Grau, Juan M. Espín, Lorenzo Cascioli, Yiqing Huang, Alejandro Gómez Alanís, Jose Patino, Roberto Font, Antonio M. Peinado, Angel M. Gomez, Nicholas W. D. Evans, Maria A. Zuluaga, Massimiliano Todisco

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2018

Towards the use of Quality-of-Service Metrics in Reinforcement Learning: A Robotics Example.

Juan Francisco Inglés-Romero, Juan Manuel Espín, Rubén Jiménez-Andreu, Roberto Font, Cristina Vicente-Chicote

Proceedings of MODELS 2018 Workshops: ModComp, 2018

Logical Access Attacks Detection through audio Fingerprinting in Automatic speaker Verification.

Juan M. Espín, Roberto Font, Javier G. Marín-Blázquez, Francisco Esquembre

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Towards the Application of Global Quality-of-Service Metrics in Biometric Systems.

Juan Manuel Espín, Roberto Font, Juan Francisco Inglés-Romero, Cristina Vicente-Chicote

Proceedings of the Fourth International Conference, 2018

2017

Experimental Analysis of Features for Replay Attack Detection - Results on the ASVspoof 2017 Challenge.

Roberto Font, Juan M. Espín, María José Cano

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017