Giulia Pasquale

According to our database, Giulia Pasquale authored at least 31 papers between 2014 and 2024.

Collaborative distances:

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

2024

The impact of Compositionality in Zero-shot Multi-label action recognition for Object-based tasks.

Carmela Calabrese, Stefano Berti, Giulia Pasquale, Lorenzo Natale

Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication, 2024

ConCon-Chi: Concept-Context Chimera Benchmark for Personalized Vision-Language Tasks.

Andrea Rosasco, Stefano Berti, Giulia Pasquale, Damiano Malafronte, Shogo Sato, Hiroyuki Segawa, Tetsugo Inada, Lorenzo Natale

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking - Code.

Nicola Agostino Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale

Dataset, November, 2022

ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking - Code.

Nicola Agostino Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale

Dataset, November, 2022

ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking - Code.

Nicola Agostino Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale

Dataset, March, 2022

ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking - Code.

Nicola Agostino Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale

Dataset, March, 2022

ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking - Code.

Nicola Agostino Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale

Dataset, March, 2022

ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking - Code.

Nicola Agostino Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale

Dataset, March, 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

ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking.

Nicola A. Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale

IEEE Robotics Autom. Lett., 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

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

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

Are we done with object recognition? The iCub robot's perspective.

Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale

Robotics Auton. Syst., 2019

Automatic Creation of Large Scale Object Databases from Web Resources: A Case Study in Robot Vision.

Dario Molinari, Giulia Pasquale, Lorenzo Natale, Barbara Caputo

Proceedings of the Image Analysis and Processing - ICIAP 2019, 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

Improving Superquadric Modeling and Grasping with Prior on Object Shapes.

Giulia Vezzani, Ugo Pattacini, Giulia Pasquale, Lorenzo Natale

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Incremental robot learning of new objects with fixed update time.

Raffaello Camoriano, Giulia Pasquale, Carlo Ciliberto, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 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

2016

Enabling Depth-Driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives.

Giulia Pasquale, Tanis Mar, Carlo Ciliberto, Lorenzo Rosasco, Lorenzo Natale

Frontiers Robotics AI, 2016

Incremental Object Recognition in Robotics with Extension to New Classes in Constant Time.

Raffaello Camoriano, Giulia Pasquale, Carlo Ciliberto, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta

CoRR, 2016

Object identification from few examples by improving the invariance of a Deep Convolutional Neural Network.

Giulia Pasquale, Carlo Ciliberto, Lorenzo Rosasco, Lorenzo Natale

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015

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

Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale

CoRR, 2015

Teaching iCub to recognize objects using deep Convolutional Neural Networks.

Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale

Proceedings of the 4th Workshop on Machine Learning for Interactive Systems, 2015

2014

Graphics processing unit-accelerated techniques for bio-inspired computation in the primary visual cortex.

Manuela Chessa, Giulia Pasquale

Concurr. Comput. Pract. Exp., 2014

A CUDA Implementation of the Spatial TAU-Leaping in Crowded Compartments (STAUCC) Simulator.

Giulia Pasquale, Carlo Maj, Andrea Clematis, Ettore Mosca, Luciano Milanesi, Ivan Merelli, Daniele D'Agostino

Proceedings of the 22nd Euromicro International Conference on Parallel, 2014

A Fine-Grained CUDA Implementation of the Multi-objective Evolutionary Approach NSGA-II: Potential Impact for Computational and Systems Biology Applications.

Daniele D'Agostino, Giulia Pasquale, Ivan Merelli

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014