Elisa Maiettini

Orcid: 0000-0002-0127-3014

According to our database1, Elisa Maiettini authored at least 22 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis.
CoRR, 2024

2023
iCub Detecting Gazed Objects: A Pipeline Estimating Human Attention.
CoRR, 2023

Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation.
CoRR, 2023

A Grasp Pose is All You Need: Learning Multi-Fingered Grasping with Deep Reinforcement Learning from Vision and Touch.
IROS, 2023

Large-scale trialing of the B5G technology for eHealth and Emergency domains.
Proceedings of the IEEE International Conference on E-health Networking, 2023

2022
Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot.
IEEE Trans. Robotics, 2022

Toward an Attentive Robotic Architecture: Learning-Based Mutual Gaze Estimation in Human-Robot Interaction.
Frontiers Robotics AI, 2022

iCub Being Social: Exploiting Social Cues for Interactive Object Detection Learning.
CoRR, 2022

From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach.
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.
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.
Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

2021
Hand-Object Interaction: From Human Demonstrations to Robot Manipulation.
Frontiers Robotics AI, 2021

Score to Learn: A Comparative Analysis of Scoring Functions for Active Learning in Robotics.
Proceedings of the Computer Vision Systems - 13th International Conference, 2021

Fast Object Segmentation Learning with Kernel-based Methods for Robotics.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Weakly-Supervised Object Detection Learning through Human-Robot Interaction.
Proceedings of the 20th IEEE-RAS International Conference on Humanoid Robots, 2021

2020
From Constraints to Opportunities: Efficient Object Detection Learning for Humanoid Robots.
PhD thesis, 2020

Data-efficient Weakly-supervised Learning for On-line Object Detection under Domain Shift in Robotics.
CoRR, 2020

Fast Region Proposal Learning for Object Detection for Robotics.
CoRR, 2020

On-line object detection: a robotics challenge.
Auton. Robots, 2020

2019
A Weakly Supervised Strategy for Learning Object Detection on a Humanoid Robot.
Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019

2018
Speeding-Up Object Detection Training for Robotics with FALKON.
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.
Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017


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