activity
20152022
most citedReal-world Object Recognition with Off-the-shelf Deep Conv Nets: How Many Objects can iCub Learn?

9 citations · 10 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV20221 cited

Efficient Unsupervised Learning for Plankton Images

Paolo Didier Alfano, Marco Rando, Marco Letizia +3

Monitoring plankton populations in situ is fundamental to preserve the aquatic ecosystem. Plankton microorganisms are in fact susceptible of minor environmental perturbations, that…

cs.CV2021

HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty

Giorgio Cantarini, Federico Figari Tomenotti, Nicoletta Noceti +1

In this paper we introduce a novel method to estimate the head pose of people in single images starting from a small set of head keypoints. To this purpose, we propose a regression…

cs.RO2020

Action similarity judgment based on kinematic primitives

Vipul Nair, Paul Hemeren, Alessia Vignolo +7

Understanding which features humans rely on -- in visually recognizing action similarity is a crucial step towards a clearer picture of human action perception from a learning and…

cs.CV2019

Gaze Estimation for Assisted Living Environments

Philipe A. Dias, Damiano Malafronte, Henry Medeiros +1

Effective assisted living environments must be able to perform inferences on how their occupants interact with one another as well as with surrounding objects. To accomplish this g…

cs.CV2019

The role of ego vision in view-invariant action recognition

Gaurvi Goyal, Nicoletta Noceti, Francesca Odone +1

Analysis and interpretation of egocentric video data is becoming more and more important with the increasing availability and use of wearable cameras. Exploring and fully understan…

cs.RO20159 cited

Real-world Object Recognition with Off-the-shelf Deep Conv Nets: How Many Objects can iCub Learn?

Giulia Pasquale, Carlo Ciliberto, Francesca Odone +2

The ability to visually recognize objects is a fundamental skill for robotics systems. Indeed, a large variety of tasks involving manipulation, navigation or interaction with other…