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Fast Object Segmentation Learning with Kernel-based Methods for Robotics
v1v2 (latest)

Fast Object Segmentation Learning with Kernel-based Methods for Robotics

IEEE International Conference on Robotics and Automation (ICRA), 2020
25 November 2020
Federico Ceola
Elisa Maiettini
Giulia Pasquale
Lorenzo Rosasco
Lorenzo Natale
    OCL
ArXiv (abs)PDFHTML

Papers citing "Fast Object Segmentation Learning with Kernel-based Methods for Robotics"

6 / 6 papers shown
Would you let a humanoid play storytelling with your child? A usability study on LLM-powered narrative Humanoid-Robot Interaction
Would you let a humanoid play storytelling with your child? A usability study on LLM-powered narrative Humanoid-Robot Interaction
M. Lombardi
Carmela Calabrese
Davide Ghiglino
Caterina Foglino
Davide De Tommaso
Giulia Da Lisca
Lorenzo Natale
Agnieszka Wykowska
190
2
0
04 Aug 2025
iCub Detecting Gazed Objects: A Pipeline Estimating Human Attention
iCub Detecting Gazed Objects: A Pipeline Estimating Human Attention
Shiva Hanifi
Elisa Maiettini
M. Lombardi
Lorenzo Natale
175
1
0
25 Aug 2023
iCub Knows Where You Look: Exploiting Social Cues for Interactive Object
  Detection Learning
iCub Knows Where You Look: Exploiting Social Cues for Interactive Object Detection LearningIEEE-RAS International Conference on Humanoid Robots (Humanoids), 2022
M. Lombardi
Elisa Maiettini
V. Tikhanoff
Lorenzo Natale
157
7
0
27 Jul 2022
Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub
  Robot
Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub RobotIEEE Transactions on robotics (TRO), 2022
Federico Ceola
Elisa Maiettini
Giulia Pasquale
Giacomo Meanti
Lorenzo Rosasco
Lorenzo Natale
SSegVLM
261
4
0
27 Jun 2022
Weakly-Supervised Object Detection Learning through Human-Robot
  Interaction
Weakly-Supervised Object Detection Learning through Human-Robot InteractionIEEE-RAS International Conference on Humanoid Robots (Humanoids), 2021
Elisa Maiettini
V. Tikhanoff
Lorenzo Natale
167
7
0
16 Jul 2021
From Handheld to Unconstrained Object Detection: a Weakly-supervised
  On-line Learning Approach
From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning ApproachIEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2020
Elisa Maiettini
Andrea Maracani
Raffaello Camoriano
Giulia Pasquale
V. Tikhanoff
Lorenzo Rosasco
Lorenzo Natale
252
0
0
28 Dec 2020
1
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