activity
20152026
most citedCo-Located Human-Human Interaction Analysis using Nonverbal Cues: A Survey

21 citations · 64 across the 59 of their papers we have counts for

collaborators

70 papers

cs.CV2026

Memory-Augmented Vision-Language Agents for Persistent and Semantically Consistent Object Captioning

Tommaso Galliena, Stefano Rosa, Tommaso Apicella +3

Vision-Language Models (VLMs) often yield inconsistent descriptions of the same object across viewpoints, hindering the ability of embodied agents to construct consistent semantic…

cs.CV2025

Frequency-Decomposed Avatar Representation for Varying Camera Distances

David Svitov, Pietro Morerio, Lourdes Agapito +1

We present a CloseUpAvatar - a novel approach for articulated human avatar representation supporting a wider range of camera motions, while preserving rendering quality for close-u…

cs.CV2025

E-M3RF: An Equivariant Multimodal 3D Re-assembly Framework

Adeela Islam, Stefano Fiorini, Manuel Lecha +4

3D reassembly is a fundamental geometric problem, and in recent years it has increasingly been challenged by deep learning methods rather than classical optimization. While learnin…

cs.RO2025

GRASPLAT: Enabling dexterous grasping through novel view synthesis

Matteo Bortolon, Nuno Ferreira Duarte, Plinio Moreno +3

Achieving dexterous robotic grasping with multi-fingered hands remains a significant challenge. While existing methods rely on complete 3D scans to predict grasp poses, these appro…

cs.CV2025

SplatFill: 3D Scene Inpainting via Depth-Guided Gaussian Splatting

Mahtab Dahaghin, Milind G. Padalkar, Matteo Toso +1

3D Gaussian Splatting (3DGS) has enabled the creation of highly realistic 3D scene representations from sets of multi-view images. However, inpainting missing regions, whether due…

cs.RO2025

Learning to Evaluate Autonomous Behaviour in Human-Robot Interaction

Matteo Tiezzi, Tommaso Apicella, Carlos Cardenas-Perez +5

Evaluating and comparing the performance of autonomous Humanoid Robots is challenging, as success rate metrics are difficult to reproduce and fail to capture the complexity of robo…