58 citations · 112 across the 19 of their papers we have counts for
5 papers · 1 filter
PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition
Pedro C. Neto, Ana F. Sequeira, Jaime S. Cardoso +1
In the context of biometrics, matching confidence refers to the confidence that a given matching decision is correct. Since many biometric systems operate in critical decision-maki…
OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement
Pedro C. Neto, Tiago Gonçalves, Marco Huber +3
Morphing attacks are one of the many threats that are constantly affecting deep face recognition systems. It consists of selecting two faces from different individuals and fusing t…
SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data
Marco Huber, Fadi Boutros, Anh Thi Luu +16
This paper presents a summary of the Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data (SYN-MAD) held at the 2022 International Joint Con…
OCFR 2022: Competition on Occluded Face Recognition From Synthetically Generated Structure-Aware Occlusions
Pedro C. Neto, Fadi Boutros, Joao Ribeiro Pinto +12
This work summarizes the IJCB Occluded Face Recognition Competition 2022 (IJCB-OCFR-2022) embraced by the 2022 International Joint Conference on Biometrics (IJCB 2022). OCFR-2022 a…
Causality-Inspired Taxonomy for Explainable Artificial Intelligence
Pedro C. Neto, Tiago Gonçalves, João Ribeiro Pinto +4
As two sides of the same coin, causality and explainable artificial intelligence (xAI) were initially proposed and developed with different goals. However, the latter can only be c…