activity
20222026
most citedContainer Localisation and Mass Estimation with an RGB-D Camera

6 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Reproducible Multimodal Affordance Prediction

Tommaso Apicella, Alessio Xompero, Andrea Cavallaro

Affordance prediction is the identification of potential actions an agent can perform on a target object from multimodal inputs. Affordance prediction methods are difficult to eval…

cs.CV2025★ 1 cited

Visual Affordance Prediction: Survey and Reproducibility

Tommaso Apicella, Alessio Xompero, Andrea Cavallaro

Affordances are the potential actions an agent can perform on an object, as observed by a camera. Visual affordance prediction is formulated differently for tasks such as grasping…

cs.CV2024★ 1 cited

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…

cs.CV2023★ 1 cited

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…

cs.CV2022★ 6 cited

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…