activity
20202026
most citedHier-EgoPack: Hierarchical Egocentric Video Understanding with Diverse Task Perspectives

1 citations · 2 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.SI2026

A temporal graph dissimilarity measure capturing epidemic spreading behavior

Salvatore Freni, Lorenzo Dall'Amico, Francesca Pistilli +3

Comparing temporal networks is a challenging problem in network analysis. Commonly adopted methods compare structural properties of temporal graphs and can be highly sensitive to t…

cs.RO2026

GORDON: Graph-based Object-centric Rewards for Decomposition of Long-Horizon Manipulation

Andrea Protopapa, Davide Buoso, Francesca Pistilli +2

Learning long-horizon manipulation skills with reinforcement learning remains challenging due to the complexity of reward design, the limited guidance of sparse rewards, and the hi…

cs.CV2026

Learning to Evolve Scenes: Reasoning about Human Activities with Scene Graphs

Francesca Pistilli, Simone Alberto Peirone, Giuseppe Averta

Understanding human behavior while interacting with the surrounding world is crucial for many applications of embodied AI. First-person videos are particularly informative for this…

cs.CV2026

HiERO-StepG @ Ego4D Step Grounding Challenge: hierarchical activity understanding enables zero-shot step grounding

Andrea Zenotto, Simone Alberto Peirone, Francesca Pistilli +1

Procedural activities follow well-defined structures: whether we consider a cooking recipe or a mechanic repairing a car, these activities naturally decompose in a hierarchy of ste…

cs.RO2026

GAP: Geometric Anchor Pre-training for Data-Efficient Visuomotor Learning of Manipulation Tasks

Davide Buoso, Andrea Protopapa, Stefano Di Carlo +2

Learning visuomotor policies from scarce expert demonstrations remains a core challenge in robotic manipulation. A primary hurdle lies in distilling high-dimensional RGB representa…