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ORCIDGiulia Pasquale
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2020 – today
- 2024
[c15]Andrea Rosasco, Stefano Berti, Giulia Pasquale, Damiano Malafronte, Shogo Sato, Hiroyuki Segawa, Tetsugo Inada, Lorenzo Natale:
ConCon-Chi: Concept-Context Chimera Benchmark for Personalized Vision-Language Tasks. CVPR 2024: 22239-22248- [c14]Carmela Calabrese, Stefano Berti, Giulia Pasquale, Lorenzo Natale:
The impact of Compositionality in Zero-shot Multi-label action recognition for Object-based tasks. RO-MAN 2024: 857-863 - [i12]Carmela Calabrese, Stefano Berti, Giulia Pasquale, Lorenzo Natale:
The impact of Compositionality in Zero-shot Multi-label action recognition for Object-based tasks. CoRR abs/2405.08695 (2024) - 2022
- [j6]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): 159-166 (2022) - [j5]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): 3154-3172 (2022) - [c13]Federico Vasile, Elisa Maiettini, Giulia Pasquale, Astrid Florio, Nicoló Boccardo, Lorenzo Natale:
Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis. IROS 2022: 13112-13119 - [c12]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: 942-949 - [d6]Nicola Agostino Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale:
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking - Code. Zenodo, 2022
- [d5]Nicola Agostino Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale:
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking - Code. Zenodo, 2022 - [d4]Nicola Agostino Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale:
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking - Code. Zenodo, 2022 - [d3]Nicola Agostino Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale:
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking - Code. Zenodo, 2022 - [d2]Nicola Agostino Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale:
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking - Code. Zenodo, 2022 - [d1]Nicola Agostino Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale:
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking - Code. Zenodo, 2022 - [i11]Federico Vasile, Elisa Maiettini, Giulia Pasquale, Astrid Florio, Nicoló Boccardo, Lorenzo Natale:
Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis. CoRR abs/2203.09812 (2022) - [i10]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 abs/2206.13462 (2022) - 2021
- [c11]Federico Ceola, Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale:
Fast Object Segmentation Learning with Kernel-based Methods for Robotics. ICRA 2021: 13581-13588 - [i9]Nicola A. Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale:
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking. CoRR abs/2111.03821 (2021) - 2020
- [j4]Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale:
On-line object detection: a robotics challenge. Auton. Robots 44(5): 739-757 (2020) - [i8]Federico Ceola, Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale:
Fast Region Proposal Learning for Object Detection for Robotics. CoRR abs/2011.12790 (2020) - [i7]Federico Ceola, Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale:
Fast Object Segmentation Learning with Kernel-based Methods for Robotics. CoRR abs/2011.12805 (2020) - [i6]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 abs/2012.14345 (2020)
2010 – 2019
- 2019
- [j3]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: 260-281 (2019) - [c10]Elisa Maiettini, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale:
A Weakly Supervised Strategy for Learning Object Detection on a Humanoid Robot. Humanoids 2019: 194-201 - [c9]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: 488-498 - 2018
- [c8]Giulia Vezzani, Ugo Pattacini, Giulia Pasquale, Lorenzo Natale:
Improving Superquadric Modeling and Grasping with Prior on Object Shapes. ICRA 2018: 6875-6882 - [c7]Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale:
Speeding-Up Object Detection Training for Robotics with FALKON. IROS 2018: 5770-5776 - [i5]Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale:
Speeding-up Object Detection Training for Robotics with FALKON. CoRR abs/1803.08740 (2018) - 2017
- [c6]Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale:
Interactive data collection for deep learning object detectors on humanoid robots. Humanoids 2017: 862-868 - [c5]Raffaello Camoriano, Giulia Pasquale, Carlo Ciliberto, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta:
Incremental robot learning of new objects with fixed update time. ICRA 2017: 3207-3214 - [i4]Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale:
Are we Done with Object Recognition? The iCub robot's Perspective. CoRR abs/1709.09882 (2017) - 2016
- [j2]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: 35 (2016) - [c4]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: 4904-4911 - [i3]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 abs/1605.05045 (2016) - 2015
- [c3]Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale:
Teaching iCub to recognize objects using deep Convolutional Neural Networks. MLIS@ICML 2015: 21-25 - [i2]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 abs/1504.03154 (2015) - [i1]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 abs/1509.06939 (2015) - 2014
- [j1]Manuela Chessa, Giulia Pasquale:
Graphics processing unit-accelerated techniques for bio-inspired computation in the primary visual cortex. Concurr. Comput. Pract. Exp. 26(10): 1799-1818 (2014) - [c2]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: 273-284 - [c1]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: 609-616
Coauthor Index
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