| 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 | 66 | 2016 |
| 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 | 65 | 2015 |
| 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 | 49* | 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 | 45 | 2019 |
| 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 | 27 | 2017 |
| 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 | 23 | 2018 |
| 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 | 22 | 2021 |
| On-line object detection: a robotics challenge E Maiettini, G Pasquale, L Rosasco, L Natale Autonomous Robots 44 (5), 739-757, 2020 | 21 | 2020 |
| 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 | 21 | 2016 |
| 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 | 20 | 2018 |
| 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 | 18 | 2015 |
| 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 | 16 | 2022 |
| 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 | 10 | 2019 |
| 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 | 10 | 2015 |
| 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 (1), 980501, 2014 | 9 | 2014 |
| 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 | 7 | 2020 |
| 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 | 6 | 2021 |
| 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 | 5 | 2022 |
| 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 | 5 | 2014 |
| 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 | 4 | 2020 |
Lorenzo NataleTenured Senior Scientist, Istituto Italiano di Tecnologia在 iit.it 的电子邮件经过验证
