DELUSSU R.

Supervised deep learning methods have recently achieved remarkable performance in person re-identification. Unsupervised domain adaptation (UDA) approaches have also been proposed for application scenarios where only unlabelled data are available from target camera views. We consider a more challenging scenario when even collecting a suitable...

The increasing adoption of machine learning and deep learning models in critical applications raises the issue of ensuring their trustworthiness, which can be addressed by quantifying the uncertainty of their predictions. However, the black-box nature of many such models allows only to quantify uncertainty through ad hoc superstructures, which...

Crowd counting is a challenging and relevant computer vision task. Most of the existing methods are image-based, i.e., they only exploit the spatial information of a single image to estimate the corresponding people count. Recently, video-based methods have been proposed to improve counting accuracy by also exploiting temporal information...