3 papers
cs.CV2026
VT-DUDA: Visual Token Conditioning for Diffusion-guided Unsupervised Domain Adaptation
Xuan Qi, Daniele Berardini, Dario Serez +2
Unsupervised domain adaptation (UDA) aims to learn a target-domain classifier from labeled source data and unlabeled target data under distribution shift. Recent diffusion-based UD…
cs.CV2025
A Mutual Information Perspective on Multiple Latent Variable Generative Models for Positive View Generation
Dario Serez, Marco Cristani, Alessio Del Bue +2
In image generation, Multiple Latent Variable Generative Models (MLVGMs) employ multiple latent variables to gradually shape the final images, from global characteristics to finer…
cs.CV2024
Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial Attacks
Dario Serez, Marco Cristani, Alessio Del Bue +2
Attackers can deliberately perturb classifiers' input with subtle noise, altering final predictions. Among proposed countermeasures, adversarial purification employs generative net…