| Exploring representation learning with cnns for frame-to-frame ego-motion estimation G Costante, M Mancini, P Valigi, TA Ciarfuglia IEEE robotics and automation letters 1 (1), 18-25, 2015 | 266 | 2015 |
| Fast robust monocular depth estimation for obstacle detection with fully convolutional networks M Mancini, G Costante, P Valigi, TA Ciarfuglia 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 141 | 2016 |
| Towards generalization in target-driven visual navigation by using deep reinforcement learning A Devo, G Mezzetti, G Costante, ML Fravolini, P Valigi IEEE Transactions on Robotics 36 (5), 1546-1561, 2020 | 107 | 2020 |
| Toward domain independence for learning-based monocular depth estimation M Mancini, G Costante, P Valigi, TA Ciarfuglia, J Delmerico, ... IEEE Robotics and Automation Letters 2 (3), 1778-1785, 2017 | 97 | 2017 |
| Perception-aware path planning G Costante, C Forster, J Delmerico, P Valigi, D Scaramuzza arXiv preprint arXiv:1605.04151, 2016 | 96 | 2016 |
| LS-VO: Learning dense optical subspace for robust visual odometry estimation G Costante, TA Ciarfuglia IEEE Robotics and Automation Letters 3 (3), 1735-1742, 2018 | 93 | 2018 |
| J-MOD2: Joint Monocular Obstacle Detection and Depth Estimation M Mancini, G Costante, P Valigi, TA Ciarfuglia IEEE Robotics and Automation Letters 3 (3), 1490-1497, 2018 | 71 | 2018 |
| Evaluation of non-geometric methods for visual odometry TA Ciarfuglia, G Costante, P Valigi, E Ricci Robotics and Autonomous Systems 62 (12), 1717-1730, 2014 | 58 | 2014 |
| Weakly supervised fruit counting for yield estimation using spatial consistency E Bellocchio, TA Ciarfuglia, G Costante, P Valigi IEEE Robotics and Automation Letters 4 (3), 2348-2355, 2019 | 57 | 2019 |
| Robust visual semi-semantic loop closure detection by a covisibility graph and CNN features S Cascianelli, G Costante, E Bellocchio, P Valigi, ML Fravolini, ... Robotics and Autonomous Systems 92, 53-65, 2017 | 54 | 2017 |
| Uncertainty estimation for data-driven visual odometry G Costante, M Mancini IEEE Transactions on Robotics 36 (6), 1738-1757, 2020 | 50 | 2020 |
| Exploiting photometric information for planning under uncertainty G Costante, J Delmerico, M Werlberger, P Valigi, D Scaramuzza Robotics Research: Volume 1, 107-124, 2018 | 44 | 2018 |
| Personalizing a smartwatch-based gesture interface with transfer learning G Costante, L Porzi, O Lanz, P Valigi, E Ricci 2014 22nd European Signal Processing Conference (EUSIPCO), 2530-2534, 2014 | 42 | 2014 |
| Full-GRU natural language video description for service robotics applications S Cascianelli, G Costante, TA Ciarfuglia, P Valigi, ML Fravolini IEEE robotics and automation letters 3 (2), 841-848, 2018 | 37 | 2018 |
| Deep reinforcement learning for instruction following visual navigation in 3D maze-like environments A Devo, G Costante, P Valigi IEEE Robotics and Automation Letters 5 (2), 1175-1182, 2020 | 36 | 2020 |
| Combining domain adaptation and spatial consistency for unseen fruits counting: a quasi-unsupervised approach E Bellocchio, G Costante, S Cascianelli, ML Fravolini, P Valigi IEEE Robotics and Automation Letters 5 (2), 1079-1086, 2020 | 35 | 2020 |
| A transfer learning approach for multi-cue semantic place recognition G Costante, TA Ciarfuglia, P Valigi, E Ricci 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013 | 34 | 2013 |
| Enhancing continuous control of mobile robots for end-to-end visual active tracking A Devo, A Dionigi, G Costante Robotics and Autonomous Systems 142, 103799, 2021 | 30 | 2021 |
| Aircraft robust data-driven multiple sensor fault diagnosis based on optimality criteria N Cartocci, MR Napolitano, G Costante, P Valigi, ML Fravolini Mechanical Systems and Signal Processing 170, 108668, 2022 | 29 | 2022 |
| Autonomous single-image drone exploration with deep reinforcement learning and mixed reality A Devo, J Mao, G Costante, G Loianno IEEE Robotics and Automation Letters 7 (2), 5031-5038, 2022 | 29 | 2022 |
Paolo ValigiProfessor of Control System and Autonomous Robotics, University of PerugiaEmail verificata su unipg.it
