Giulia Pasquale

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 28

Top Topics

Object Recognition

Convolutional Neural Networks

Top Venues

Publications

Carmela Calabrese, Stefano Berti, Giulia Pasquale, Lorenzo Natale
The impact of Compositionality in Zero-shot Multi-label action recognition for Object-based tasks. CoRR (2024)
Elisa Maiettini, Andrea Maracani, Raffaello Camoriano, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale
From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach. RO-MAN (2022)
Federico Vasile, Elisa Maiettini, Giulia Pasquale, Astrid Florio, Nicolo Boccardo, Lorenzo Natale
Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis. IROS (2022)
Federico Ceola, Elisa Maiettini, Giulia Pasquale, Giacomo Meanti, Lorenzo Rosasco, Lorenzo Natale
Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot. IEEE Trans. Robotics 38 (5) (2022)
Federico Ceola, Elisa Maiettini, Giulia Pasquale, Giacomo Meanti, Lorenzo Rosasco, Lorenzo Natale
Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot. CoRR (2022)
Federico Vasile, Elisa Maiettini, Giulia Pasquale, Astrid Florio, Nicolo Boccardo, Lorenzo Natale
Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis. CoRR (2022)
Nicola A. Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking. IEEE Robotics Autom. Lett. 7 (1) (2022)
Nicola A. Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking. CoRR (2021)
Federico Ceola, Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale
Fast Object Segmentation Learning with Kernel-based Methods for Robotics. ICRA (2021)
Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale
On-line object detection: a robotics challenge. Auton. Robots 44 (5) (2020)
Federico Ceola, Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale
Fast Object Segmentation Learning with Kernel-based Methods for Robotics. CoRR (2020)
Elisa Maiettini, Raffaello Camoriano, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale
Data-efficient Weakly-supervised Learning for On-line Object Detection under Domain Shift in Robotics. CoRR (2020)
Federico Ceola, Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale
Fast Region Proposal Learning for Object Detection for Robotics. CoRR (2020)
Dario Molinari, Giulia Pasquale, Lorenzo Natale, Barbara Caputo
Automatic Creation of Large Scale Object Databases from Web Resources: A Case Study in Robot Vision. ICIAP (2) (2019)
Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale
Are we done with object recognition? The iCub robot's perspective. Robotics Auton. Syst. 112 (2019)
Elisa Maiettini, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale
A Weakly Supervised Strategy for Learning Object Detection on a Humanoid Robot. Humanoids (2019)
Giulia Vezzani, Ugo Pattacini, Giulia Pasquale, Lorenzo Natale
Improving Superquadric Modeling and Grasping with Prior on Object Shapes. ICRA (2018)
Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale
Speeding-Up Object Detection Training for Robotics with FALKON. IROS (2018)
Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale
Speeding-up Object Detection Training for Robotics with FALKON. CoRR (2018)
Raffaello Camoriano, Giulia Pasquale, Carlo Ciliberto, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta
Incremental robot learning of new objects with fixed update time. ICRA (2017)
Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale
Are we Done with Object Recognition? The iCub robot's Perspective. CoRR (2017)
Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale
Interactive data collection for deep learning object detectors on humanoid robots. Humanoids (2017)
Giulia Pasquale, Carlo Ciliberto, Lorenzo Rosasco, Lorenzo Natale
Object identification from few examples by improving the invariance of a Deep Convolutional Neural Network. IROS (2016)
Raffaello Camoriano, Giulia Pasquale, Carlo Ciliberto, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta
Incremental Object Recognition in Robotics with Extension to New Classes in Constant Time. CoRR (2016)
Giulia Pasquale, Tanis Mar, Carlo Ciliberto, Lorenzo Rosasco, Lorenzo Natale
Enabling Depth-Driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives. Frontiers Robotics AI 3 (2016)
Giulia Pasquale, Tanis Mar, Carlo Ciliberto, Lorenzo Rosasco, Lorenzo Natale
Enabling Depth-driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives. CoRR (2015)
Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale
Real-world Object Recognition with Off-the-shelf Deep Conv Nets: How Many Objects can iCub Learn? CoRR (2015)
Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale
Teaching iCub to recognize objects using deep Convolutional Neural Networks. MLIS@ICML (2015)
Daniele D'Agostino, Giulia Pasquale, Ivan Merelli
A Fine-Grained CUDA Implementation of the Multi-objective Evolutionary Approach NSGA-II: Potential Impact for Computational and Systems Biology Applications. CIBB (2014)
Manuela Chessa, Giulia Pasquale
Graphics processing unit-accelerated techniques for bio-inspired computation in the primary visual cortex. Concurr. Comput. Pract. Exp. 26 (10) (2014)
Giulia Pasquale, Carlo Maj, Andrea Clematis, Ettore Mosca, Luciano Milanesi, Ivan Merelli, Daniele D'Agostino
A CUDA Implementation of the Spatial TAU-Leaping in Crowded Compartments (STAUCC) Simulator. PDP (2014)