Unleashing the Transferability Power of Unsupervised Pre-Training for Emotion Recognition in Masked and Unmasked Facial Images. - Moreno D'Incà; Cigdem Beyan; Radoslaw Niewiadomski; Simone Barattin; Nicu Sebe (IEEE Access, 2023)

OpenBias: Open-Set Bias Detection in Text-to-Image Generative Models. - Moreno D'Incà; Elia Peruzzo; Massimiliano Mancini; Dejia Xu; Vidit Goel; Xingqian Xu; Zhangyang Wang; Humphrey Shi; Nicu Sebe (CVPR, 2024)

Improving Fairness using Vision-Language Driven Image Augmentation. - Moreno D'Incà; Christos Tzelepis; Ioannis Patras; Nicu Sebe (WACV, 2024)

Socially Pertinent Robots in Gerontological Healthcare. - Xavier Alameda-Pineda; Angus Addlesee; Daniel Hernández García; Chris Reinke; Soraya Arias; Federica Arrigoni; Alex Auternaud; Lauriane Blavette; Cigdem Beyan; Luis G. Camara; Ohad Cohen; Alessandro Conti; et al. (CoRR, 2024)

GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative Models. - Moreno D'Incà; Elia Peruzzo; Massimiliano Mancini; Xingqian Xu; Humphrey Shi; Nicu Sebe (CoRR, 2024)

Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers. - Quentin Guimard; Moreno D'Incà; Massimiliano Mancini; Elisa Ricci 001 (CVPR, 2025)

Safe Vision-Language Models via Unsafe Weights Manipulation. - Moreno D'Incà; Elia Peruzzo; Xingqian Xu; Humphrey Shi; Nicu Sebe; Massimiliano Mancini (CoRR, 2025)

Uncovering an Attractiveness Bias in Multimodal Large Language Models: A Case Study with LLaVA. - Aditya Gulati; Moreno D'Incà; Nicu Sebe; Bruno Lepri; Nuria Oliver (CoRR, 2025)