Elisa Maiettini

According to our database, Elisa Maiettini authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Gaze estimation learning architecture as support to affective, social and cognitive studies in natural human-robot interaction.

Maria Lombardi, Elisa Maiettini, Agnieszka Wykowska, Lorenzo Natale

CoRR, 2024

Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis.

Andrea Maracani, Raffaello Camoriano, Elisa Maiettini, Davide Talon, Lorenzo Rosasco, Lorenzo Natale

CoRR, 2024

2023

iCub Detecting Gazed Objects: A Pipeline Estimating Human Attention.

Shiva Hanifi, Elisa Maiettini, Maria Lombardi, Lorenzo Natale

CoRR, 2023

Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation.

Andrea Maracani, Raffaello Camoriano, Elisa Maiettini, Davide Talon, Lorenzo Rosasco, Lorenzo Natale

CoRR, 2023

A Grasp Pose is All You Need: Learning Multi-Fingered Grasping with Deep Reinforcement Learning from Vision and Touch.

Federico Ceola, Elisa Maiettini, Lorenzo Rosasco, Lorenzo Natale

IROS, 2023

Large-scale trialing of the B5G technology for eHealth and Emergency domains.

Andrea Di Giglio, Marco Laurino, Giancarlo Sacco, Gianna Karanasiou, Sergio Berti, Elisa Maiettini, Mara Piccinino, Vera Stavroulaki, Simona Celi, Nicoló Boccardo, Paola Iovanna, Aruna Prem Bianzino, Chiara Benvenuti, Lorenzo Natale, Giulio Bottari

Proceedings of the IEEE International Conference on E-health Networking, 2023

2022

Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot.

Federico Ceola, Elisa Maiettini, Giulia Pasquale, Giacomo Meanti, Lorenzo Rosasco, Lorenzo Natale

IEEE Trans. Robotics, 2022

Toward an Attentive Robotic Architecture: Learning-Based Mutual Gaze Estimation in Human-Robot Interaction.

Maria Lombardi, Elisa Maiettini, Davide De Tommaso, Agnieszka Wykowska, Lorenzo Natale

Frontiers Robotics AI, 2022

iCub Being Social: Exploiting Social Cues for Interactive Object Detection Learning.

Maria Lombardi, Elisa Maiettini, Vadim Tikhanoff, Lorenzo Natale

CoRR, 2022

From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach.

Elisa Maiettini, Andrea Maracani, Raffaello Camoriano, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale

Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022

Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis.

Federico Vasile, Elisa Maiettini, Giulia Pasquale, Astrid Florio, Nicoló Boccardo, Lorenzo Natale

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

iCub Knows Where You Look: Exploiting Social Cues for Interactive Object Detection Learning.

Maria Lombardi, Elisa Maiettini, Vadim Tikhanoff, Lorenzo Natale

Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

2021

Hand-Object Interaction: From Human Demonstrations to Robot Manipulation.

Alessandro Carfì, Timothy Patten, Yingyi Kuang, Ali Hammoud, Mohamad Alameh, Elisa Maiettini, Abraham Itzhak Weinberg, Diego R. Faria, Fulvio Mastrogiovanni, Guillem Alenyà, Lorenzo Natale, Véronique Perdereau, Markus Vincze, Aude Billard

Frontiers Robotics AI, 2021

Score to Learn: A Comparative Analysis of Scoring Functions for Active Learning in Robotics.

Riccardo Grigoletto, Elisa Maiettini, Lorenzo Natale

Proceedings of the Computer Vision Systems - 13th International Conference, 2021

Fast Object Segmentation Learning with Kernel-based Methods for Robotics.

Federico Ceola, Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Weakly-Supervised Object Detection Learning through Human-Robot Interaction.

Elisa Maiettini, Vadim Tikhanoff, Lorenzo Natale

Proceedings of the 20th IEEE-RAS International Conference on Humanoid Robots, 2021

2020

From Constraints to Opportunities: Efficient Object Detection Learning for Humanoid Robots.

Elisa Maiettini

PhD thesis, 2020

Data-efficient Weakly-supervised Learning for On-line Object Detection under Domain Shift in Robotics.

Elisa Maiettini, Raffaello Camoriano, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale

CoRR, 2020

Fast Region Proposal Learning for Object Detection for Robotics.

Federico Ceola, Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale

CoRR, 2020

On-line object detection: a robotics challenge.

Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale

Auton. Robots, 2020

2019

A Weakly Supervised Strategy for Learning Object Detection on a Humanoid Robot.

Elisa Maiettini, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale

Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019

2018

Speeding-Up Object Detection Training for Robotics with FALKON.

Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Interactive data collection for deep learning object detectors on humanoid robots.

Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale

Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017