20 citations · 20 across the 4 of their papers we have counts for
5 papers
ENIGMA-360: An Ego-Exo Dataset for Human Behavior Understanding in Industrial Scenarios
Francesco Ragusa, Rosario Leonardi, Michele Mazzamuto +6
Understanding human behavior from complementary egocentric (ego) and exocentric (exo) points of view enables the development of systems that can support workers in industrial envir…
ProSkill: Segment-Level Skill Assessment in Procedural Videos
Michele Mazzamuto, Daniele Di Mauro, Gianpiero Francesca +2
Skill assessment in procedural videos is crucial for the objective evaluation of human performance in settings such as manufacturing and procedural daily tasks. Current research on…
Synchronization is All You Need: Exocentric-to-Egocentric Transfer for Temporal Action Segmentation with Unlabeled Synchronized Video Pairs
Camillo Quattrocchi, Antonino Furnari, Daniele Di Mauro +2
We consider the problem of transferring a temporal action segmentation system initially designed for exocentric (fixed) cameras to an egocentric scenario, where wearable cameras ca…
Panoptic Segmentation using Synthetic and Real Data
Camillo Quattrocchi, Daniele Di Mauro, Antonino Furnari +1
Being able to understand the relations between the user and the surrounding environment is instrumental to assist users in a worksite. For instance, understanding which objects a u…
SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning
Daniele Di Mauro, Antonino Furnari, Giuseppe Patanè +2
Semantic segmentation methods have achieved outstanding performance thanks to deep learning. Nevertheless, when such algorithms are deployed to new contexts not seen during trainin…