5 papers
AI-Generated Image Detectors Overrely on Global Artifacts: Evidence from Inpainting Exchange
Elif Nebioglu, Emirhan Bilgiç, Adrian Popescu
Modern deep learning-based inpainting enables realistic local image manipulation, raising critical challenges for reliable detection. However, we observe that current detectors pri…
Reliable and Reproducible Demographic Inference for Fairness in Face Analysis
Alexandre Fournier-Montgieux, Hervé Le Borgne, Adrian Popescu +1
Fairness evaluation in face analysis systems (FAS) typically depends on automatic demographic attribute inference (DAI), which itself relies on predefined demographic segmentation.…
CaMiT: A Time-Aware Car Model Dataset for Classification and Generation
Frédéric LIN, Biruk Abere Ambaw, Adrian Popescu +3
AI systems must adapt to evolving visual environments, especially in domains where object appearances change over time. We introduce Car Models in Time (CaMiT), a fine-grained data…
Fairer Analysis and Demographically Balanced Face Generation for Fairer Face Verification
Alexandre Fournier-Montgieux, Michael Soumm, Adrian Popescu +2
Face recognition and verification are two computer vision tasks whose performances have advanced with the introduction of deep representations. However, ethical, legal, and technic…
Toward Fairer Face Recognition Datasets
Alexandre Fournier-Montgieux, Michael Soumm, Adrian Popescu +2
Face recognition and verification are two computer vision tasks whose performance has progressed with the introduction of deep representations. However, ethical, legal, and technic…