My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognition. - Pedro C. Neto; Fadi Boutros; João Ribeiro Pinto; Mohsen Saffari; Naser Damer; Ana Filipa Sequeira; Jaime S. Cardoso 001 (BIOSIG, 2021)

FocusFace: Multi-task Contrastive Learning for Masked Face Recognition. - Pedro C. Neto; Fadi Boutros; João Ribeiro Pinto; Naser Damer; Ana Filipa Sequeira; Jaime S. Cardoso 001 (FG, 2021)

MFR 2021: Masked Face Recognition Competition. - Fadi Boutros; Naser Damer; Jan Niklas Kolf; Kiran B. Raja; Florian Kirchbuchner; Raghavendra Ramachandra; Arjan Kuijper; Pengcheng Fang; Chao Zhang; Fei Wang 032; David Montero 002; Naiara Aginako; et al. (IJCB, 2021)

Deep Learning Based Analysis of Prostate Cancer from MP-MRI. - Pedro C. Neto (CoRR, 2021)

OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement. - Pedro C. Neto; Tiago Gonçalves; Marco Huber; Naser Damer; Ana Filipa Sequeira; Jaime S. Cardoso 001 (BIOSIG, 2022)

Quality Control in Digital Pathology: Automatic Fragment Detection and Counting. - Tomé Albuquerque; Ana Moreira; Beatriz Barros; Diana Montezuma; Sara Pires de Oliveira; Pedro C. Neto; João C. Monteiro; Liliana Ribeiro; Sofia Gonçalves; Ana Monteiro; Isabel M. Pinto; Jaime S. Cardoso 001 (EMBC, 2022)

SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data. - Marco Huber; Fadi Boutros; Anh Thi Luu; Kiran B. Raja; Raghavendra Ramachandra; Naser Damer; Pedro C. Neto; Tiago Gonçalves; Ana Filipa Sequeira; Jaime S. Cardoso 001; João Tremoço; Miguel Lourenço; et al. (IJCB, 2022)

OCFR 2022: Competition on Occluded Face Recognition from Synthetically Generated Structure-Aware Occlusions. - Pedro C. Neto; Fadi Boutros; João Ribeiro Pinto; Naser Damer; Ana Filipa Sequeira; Jaime S. Cardoso 001; Messaoud Bengherabi; Abderaouf Bousnat; Sana Boucheta; Nesrine Hebbadj; Mustafa Ekrem Erakin; Ugur Demir; et al. (IJCB, 2022)

Myope Models - Are face presentation attack detection models short-sighted? - Pedro C. Neto; Ana Filipa Sequeira; Jaime S. Cardoso 001 (WACV (Workshops), 2022)

Beyond Masks: On the Generalization of Masked Face Recognition Models to Occluded Face Recognition. - Pedro C. Neto; João Ribeiro Pinto; Fadi Boutros; Naser Damer; Ana Filipa Sequeira; Jaime S. Cardoso 001 (IEEE Access, 2022)

Explainable Biometrics in the Age of Deep Learning. - Pedro C. Neto; Tiago Gonçalves; João Ribeiro Pinto; Wilson Silva; Ana Filipa Sequeira; Arun Ross; Jaime S. Cardoso 001 (CoRR, 2022)

Compressed Models Decompress Race Biases: What Quantized Models Forget for Fair Face Recognition. - Pedro C. Neto; Eduarda Caldeira; Jaime S. Cardoso 001; Ana Filipa Sequeira (BIOSIG, 2023)

Evaluating Privacy on Synthetic Images Generated using GANs: Contributions of the VCMI Team to ImageCLEFmedical GANs 2023. - Helena Montenegro; Pedro C. Neto; Cristiano Patrício; Isabel Rio-Torto; Tiago Gonçalves; Luís F. Teixeira 001 (CLEF (Working Notes), 2023)

PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric Face Recognition. - Pedro C. Neto; Ana Filipa Sequeira; Jaime S. Cardoso 001; Philipp Terhörst (CVPR Workshops, 2023)

Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection. - Eduarda Caldeira; Pedro C. Neto; Tiago Gonçalves; Naser Damer; Ana Filipa Sequeira; Jaime S. Cardoso 001 (EUSIPCO, 2023)

A CAD System for Colorectal Cancer from WSI: A Clinically Validated Interpretable ML-based Prototype. - Pedro C. Neto; Diana Montezuma; Sara Pires de Oliveira; Domingos Oliveira; João Fraga; Ana Monteiro; João C. Monteiro; Liliana Ribeiro; Sofia Gonçalves; Stefan Reinhard; Inti Zlobec; Isabel M. Pinto; et al. (CoRR, 2023)

Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data. - Ivan DeAndres-Tame; Ruben Tolosana; Pietro Melzi; Rubén Vera-Rodríguez; Minchul Kim; Christian Rathgeb; Xiaoming Liu 002; Aythami Morales; Julian Fiérrez; Javier Ortega-Garcia; Zhizhou Zhong; Yuge Huang; et al. (CVPR Workshops, 2024)

MST-KD: Multiple Specialized Teachers Knowledge Distillation for Fair Face Recognition. - Eduarda Caldeira; Jaime S. Cardoso 001; Ana Filipa Sequeira; Pedro C. Neto (ECCV Workshops (15), 2024)

Fairness Under Cover: Evaluating the Impact of Occlusions on Demographic Bias in Facial Recognition. - Rafael M. Mamede; Pedro C. Neto; Ana Filipa Sequeira (ECCV Workshops (21), 2024)

How Knowledge Distillation Mitigates the Synthetic Gap in Fair Face Recognition. - Pedro C. Neto; Ivona Colakovic; Saso Karakatic; Ana Filipa Sequeira (ECCV Workshops (20), 2024)

Massively Annotated Datasets for Assessment of Synthetic and Real Data in Face Recognition. - Pedro C. Neto; Rafael M. Mamede; Carolina Albuquerque; Tiago Gonçalves; Ana Filipa Sequeira (FG, 2024)

An Integrated and User-Friendly Platform for the Deployment of Explainable Artificial Intelligence Methods Applied to Face Recognition. - Carolina Albuquerque; Pedro C. Neto; Tiago Gonçalves; Ana Filipa Sequeira (HCI (50), 2025)

FX-MAD: Frequency-Domain Explainability and Explainability-Driven Unsupervised Detection of Face Morphing Attacks. - Marco Huber; Pedro C. Neto; Ana Filipa Sequeira; Naser Damer (WACV (Workshops), 2025)

Model compression techniques in biometrics applications: A survey. - Eduarda Caldeira; Pedro C. Neto; Marco Huber; Naser Damer; Ana Filipa Sequeira (Inf. Fusion, 2025)

Second FRCSyn-onGoing: Winning solutions and post-challenge analysis to improve face recognition with synthetic data. - Ivan DeAndres-Tame; Ruben Tolosana; Pietro Melzi; Rubén Vera-Rodríguez; Minchul Kim; Christian Rathgeb; Xiaoming Liu 002; Luis Felipe Gomez-Gomez; Aythami Morales; Julian Fierrez; Javier Ortega-Garcia; Zhizhou Zhong; et al. (Inf. Fusion, 2025)

Balancing Beyond Discrete Categories: Continuous Demographic Labels for Fair Face Recognition. - Pedro C. Neto; Naser Damer; Jaime S. Cardoso 001; Ana Filipa Sequeira (CoRR, 2025)