Segui
Giulia Pasquale
Giulia Pasquale
Senior Technician
Email verificata su iit.it - Home page
Titolo
Citata da
Citata da
Anno
Object identification from few examples by improving the invariance of a deep convolutional neural network
G Pasquale, C Ciliberto, L Rosasco, L Natale
2016 IEEE/RSJ international conference on intelligent robots and systems …, 2016
672016
Teaching iCub to recognize objects using deep Convolutional Neural Networks
G Pasquale, C Carlo, F Odone, L Rosasco, L Natale
Proceedings of The 4th Workshop on Machine Learning for Interactive Systems …, 2015
652015
Incremental robot learning of new objects with fixed update time
R Camoriano, G Pasquale, C Ciliberto, L Natale, L Rosasco, G Metta
2017 IEEE International Conference on Robotics and Automation (ICRA), 3207-3214, 2017
46*2017
Are we done with object recognition? The iCub robot’s perspective
G Pasquale, C Ciliberto, F Odone, L Rosasco, L Natale
Robotics and Autonomous Systems 112, 260-281, 2019
432019
Interactive data collection for deep learning object detectors on humanoid robots
E Maiettini, G Pasquale, L Rosasco, L Natale
2017 IEEE-RAS 17th international conference on humanoid robotics (Humanoids …, 2017
272017
Speeding-up object detection training for robotics with falkon
E Maiettini, G Pasquale, L Rosasco, L Natale
2018 IEEE/RSJ international conference on intelligent robots and systems …, 2018
222018
Enabling Depth-Driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives
G Pasquale, T Mar, C Ciliberto, L Rosasco, L Natale
Frontiers in Robotics and AI 3 (35), 2016
212016
Improving superquadric modeling and grasping with prior on object shapes
G Vezzani, U Pattacini, G Pasquale, L Natale
2018 IEEE International Conference on Robotics and Automation (ICRA), 6875-6882, 2018
202018
On-line object detection: a robotics challenge
E Maiettini, G Pasquale, L Rosasco, L Natale
Autonomous Robots 44, 739-757, 2020
192020
Roft: Real-time optical flow-aided 6d object pose and velocity tracking
NA Piga, Y Onyshchuk, G Pasquale, U Pattacini, L Natale
IEEE Robotics and Automation Letters 7 (1), 159-166, 2021
182021
Real-world object recognition with off-the-shelf deep conv nets: How many objects can icub learn?
G Pasquale, C Ciliberto, F Odone, L Rosasco, L Natale
arXiv preprint arXiv:1504.03154, 2015
182015
A weakly supervised strategy for learning object detection on a humanoid robot
E Maiettini, G Pasquale, V Tikhanoff, L Rosasco, L Natale
2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids …, 2019
102019
Grasp pre-shape selection by synthetic training: Eye-in-hand shared control on the Hannes prosthesis
F Vasile, E Maiettini, G Pasquale, A Florio, N Boccardo, L Natale
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
92022
A fine-grained CUDA implementation of the multi-objective evolutionary approach NSGA-II: potential impact for computational and systems biology applications
D D’Agostino, G Pasquale, I Merelli
Computational Intelligence Methods for Bioinformatics and Biostatistics …, 2015
92015
Parallel solutions for voxel-based simulations of reaction-diffusion systems
D D’Agostino, G Pasquale, A Clematis, C Maj, E Mosca, L Milanesi, ...
BioMed research international 2014, 2014
92014
Fast object segmentation learning with kernel-based methods for robotics
F Ceola, E Maiettini, G Pasquale, L Rosasco, L Natale
2021 IEEE International Conference on Robotics and Automation (ICRA), 13581 …, 2021
62021
Fast region proposal learning for object detection for robotics
F Ceola, E Maiettini, G Pasquale, L Rosasco, L Natale
arXiv preprint arXiv:2011.12790, 2020
62020
Graphics processing unit‐accelerated techniques for bio‐inspired computation in the primary visual cortex
M Chessa, G Pasquale
Concurrency and Computation: Practice and Experience 26 (10), 1799-1818, 2014
52014
Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot
F Ceola, E Maiettini, G Pasquale, G Meanti, L Rosasco, L Natale
IEEE Transactions on Robotics 38 (5), 3154-3172, 2022
42022
Data-efficient weakly-supervised learning for online object detection under domain shift in robotics
E Maiettini, R Camoriano, G Pasquale, V Tikhanoff, L Rosasco, L Natale
arXiv preprint arXiv:2012.14345, 2020
32020
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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