38 citations · 40 across the 3 of their papers we have counts for
10 papers
One-shot action recognition in challenging therapy scenarios
Alberto Sabater, Laura Santos, Jose Santos-Victor +3
One-shot action recognition aims to recognize new action categories from a single reference example, typically referred to as the anchor example. This work presents a novel approac…
Action-conditioned Benchmarking of Robotic Video Prediction Models: a Comparative Study
Manuel Serra Nunes, Atabak Dehban, Plinio Moreno +1
A defining characteristic of intelligent systems is the ability to make action decisions based on the anticipated outcomes. Video prediction systems have been demonstrated as a sol…
Action Anticipation for Collaborative Environments: The Impact of Contextual Information and Uncertainty-Based Prediction
Clebeson Canuto, Plinio Moreno, Jorge Samatelo +2
To interact with humans in collaborative environments, machines need to be able to predict (i.e., anticipate) future events, and execute actions in a timely manner. However, the ob…
Learning Motor Resonance in Human-Human and Human-Robot Interaction with Coupled Dynamical System
Nuno Ferreira Duarte, Mirko Raković, José Santos-Victor
Human interaction involves very sophisticated non-verbal communication skills like understanding the goals and actions of others and coordinating our own actions accordingly. Neuro…
Cleaning tasks knowledge transfer between heterogeneous robots: a deep learning approach
Jaeseok Kim, Nino Cauli, Pedro Vicente +4
Nowadays, autonomous service robots are becoming an important topic in robotic research. Differently from typical industrial scenarios, with highly controlled environments, service…
Applying Domain Randomization to Synthetic Data for Object Category Detection
João Borrego, Atabak Dehban, Rui Figueiredo +3
Recent advances in deep learning-based object detection techniques have revolutionized their applicability in several fields. However, since these methods rely on unwieldy and larg…