17 citations · 43 across the 15 of their papers we have counts for
5 papers · 1 filter
Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module
Simone Lugani, Edoardo Ragusa, Rodolfo Zunino +1
The deployment of deep neural networks for visual affordance segmentation on wearable robots poses may prove critical, due to some conflicting aspects of the problem. On one hand,…
Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras
Edoardo Ragusa, Giovanni Paolo Canuti, Simone Lugani +2
While depth sensors have the potential to complement RGB data for affordance segmentation in wearable robots, their usage seems to remain underexplored. The paper proposes two appr…
Segmenting Object Affordances: Reproducibility and Sensitivity to Scale
Tommaso Apicella, Alessio Xompero, Paolo Gastaldo +1
Visual affordance segmentation identifies image regions of an object an agent can interact with. Existing methods re-use and adapt learning-based architectures for semantic segment…
Affordance segmentation of hand-occluded containers from exocentric images
Tommaso Apicella, Alessio Xompero, Edoardo Ragusa +3
Visual affordance segmentation identifies the surfaces of an object an agent can interact with. Common challenges for the identification of affordances are the variety of the geome…
Container Localisation and Mass Estimation with an RGB-D Camera
Tommaso Apicella, Giulia Slavic, Edoardo Ragusa +2
In the research area of human-robot interactions, the automatic estimation of the mass of a container manipulated by a person leveraging only visual information is a challenging ta…