activity
20212026
most citedCausality-Inspired Taxonomy for Explainable Artificial Intelligence

15 citations · 18 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CV2026

Different Defects, Different Effects: A Controlled Audit of Face Recognition Training Data

Ana Dias, João Ribeiro Pinto, Hugo Proença +1

The development of face recognition has been strongly supported by the availability of large-scale training datasets. Among them, MS-Celeb-1M has played an important role by provid…

cs.CV2026

The Good, the Better, and the Best: Improving the Discriminability of Face Embeddings through Attribute-aware Learning

Ana Dias, João Ribeiro Pinto, Hugo Proença +1

Despite recent advances in face recognition, robust performance remains challenging under large variations in age, pose, and occlusion. A common strategy to address these issues is…

cs.CV2025

Second Competition on Presentation Attack Detection on ID Card

Juan E. Tapia, Mario Nieto, Juan M. Espin +30

This work summarises and reports the results of the second Presentation Attack Detection competition on ID cards. This new version includes new elements compared to the previous on…

cs.CV2023

Seamless Multimodal Biometrics for Continuous Personalised Wellbeing Monitoring

João Ribeiro Pinto

Artificially intelligent perception is increasingly present in the lives of every one of us. Vehicles are no exception, (...) In the near future, pattern recognition will have an e…

cs.CV2022

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…

cs.CV2022★ 15 cited

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…

cs.CV2021

FocusFace: Multi-task Contrastive Learning for Masked Face Recognition

Pedro C. Neto, Fadi Boutros, João Ribeiro Pinto +3

SARS-CoV-2 has presented direct and indirect challenges to the scientific community. One of the most prominent indirect challenges advents from the mandatory use of face masks in a…

cs.CV2021★ 3 cited

My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognition

Pedro C. Neto, Fadi Boutros, João Ribeiro Pinto +4

The recent Covid-19 pandemic and the fact that wearing masks in public is now mandatory in several countries, created challenges in the use of face recognition systems (FRS). In th…

cs.CV2021

MFR 2021: Masked Face Recognition Competition

Fadi Boutros, Naser Damer, Jan Niklas Kolf +32

This paper presents a summary of the Masked Face Recognition Competitions (MFR) held within the 2021 International Joint Conference on Biometrics (IJCB 2021). The competition attra…