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 (CIBB, 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 (PDP, 2014)

Graphics processing unit-accelerated techniques for bio-inspired computation in the primary visual cortex. - Manuela Chessa; Giulia Pasquale (Concurr. Comput. Pract. Exp., 2014)

Teaching iCub to recognize objects using deep Convolutional Neural Networks. - Giulia Pasquale; Carlo Ciliberto; Francesca Odone; Lorenzo Rosasco; Lorenzo Natale (MLIS@ICML, 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)

Object identification from few examples by improving the invariance of a Deep Convolutional Neural Network. - Giulia Pasquale; Carlo Ciliberto; Lorenzo Rosasco; Lorenzo Natale (IROS, 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)

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)

Interactive data collection for deep learning object detectors on humanoid robots. - Elisa Maiettini; Giulia Pasquale; Lorenzo Rosasco; Lorenzo Natale (Humanoids, 2017)

Incremental robot learning of new objects with fixed update time. - Raffaello Camoriano; Giulia Pasquale; Carlo Ciliberto; Lorenzo Natale; Lorenzo Rosasco; Giorgio Metta (ICRA, 2017)

Improving Superquadric Modeling and Grasping with Prior on Object Shapes. - Giulia Vezzani; Ugo Pattacini; Giulia Pasquale; Lorenzo Natale (ICRA, 2018)

Speeding-Up Object Detection Training for Robotics with FALKON. - Elisa Maiettini; Giulia Pasquale; Lorenzo Rosasco; Lorenzo Natale (IROS, 2018)

A Weakly Supervised Strategy for Learning Object Detection on a Humanoid Robot. - Elisa Maiettini; Giulia Pasquale; Vadim Tikhanoff; Lorenzo Rosasco; Lorenzo Natale (Humanoids, 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 (ICIAP (2), 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)

On-line object detection: a robotics challenge. - Elisa Maiettini; Giulia Pasquale; Lorenzo Rosasco; Lorenzo Natale (Auton. Robots, 2020)

Fast Region Proposal Learning for Object Detection for Robotics. - Federico Ceola; Elisa Maiettini; Giulia Pasquale; Lorenzo Rosasco; Lorenzo Natale (CoRR, 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 Object Segmentation Learning with Kernel-based Methods for Robotics. - Federico Ceola; Elisa Maiettini; Giulia Pasquale; Lorenzo Rosasco; Lorenzo Natale (ICRA, 2021)

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 (IROS, 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 (RO-MAN, 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)

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 - Code. - Nicola Agostino Piga; Yuriy Onyshchuk; Giulia Pasquale; Ugo Pattacini; Lorenzo Natale (Zenodo, 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 (Zenodo, 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 (Zenodo, 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 (Zenodo, 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 (Zenodo, 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 (Zenodo, 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 (Zenodo, 2022)

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 (CVPR, 2024)

The impact of Compositionality in Zero-shot Multi-label action recognition for Object-based tasks. - Carmela Calabrese; Stefano Berti; Giulia Pasquale; Lorenzo Natale (RO-MAN, 2024)

Continuous Wrist Control on the Hannes Prosthesis: a Vision-based Shared Autonomy Framework. - Federico Vasile; Elisa Maiettini; Giulia Pasquale; Nicoló Boccardo; Lorenzo Natale (CoRR, 2025)

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning. - Carlo Alessi; Federico Vasile; Federico Ceola; Giulia Pasquale; Nicoló Boccardo; Lorenzo Natale (CoRR, 2025)

PCHands: PCA-based Hand Pose Synergy Representation on Manipulators with N-DoF. - En Yen Puang; Federico Ceola; Giulia Pasquale; Lorenzo Natale (CoRR, 2025)

KDPE: A Kernel Density Estimation Strategy for Diffusion Policy Trajectory Selection. - Andrea Rosasco; Federico Ceola; Giulia Pasquale; Lorenzo Natale (CoRR, 2025)