Publications
Export 415 results:
Author Title Type [ Year] Filters: First Letter Of Last Name is G [Clear All Filters]
Artificial neural networks exploiting point cloud data for fragmented solid objects classification,
, MACHINE LEARNING: SCIENCE AND TECHNOLOGY, Volume {4}, Number {4}, p.False-False, (2023)
Convergent Approaches to AI Explainability for HEP Muonic Particles Pattern Recognition,
, COMPUTING AND SOFTWARE FOR BIG SCIENCE, Volume {7}, Number {1}, p.False-False, (2023)
Convergent Approaches to AI Explainability for HEP Muonic Particles Pattern Recognition,
, COMPUTING AND SOFTWARE FOR BIG SCIENCE, Volume {7}, Number {1}, p.False-False, (2023)
Enhancing LiDAR Performance: Robust De-Skewing Exclusively Relying on Range Measurements,
, Volume {False}, Number {False}, p.310-320, (2023)
Enhancing LiDAR Performance: Robust De-Skewing Exclusively Relying on Range Measurements,
, Volume {False}, Number {False}, p.310-320, (2023)
Handling Constrained Optimization in Factor Graphs for Autonomous Navigation,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {8}, Number {1}, p.432-439, (2023)
Handling Constrained Optimization in Factor Graphs for Autonomous Navigation,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {8}, Number {1}, p.432-439, (2023)
Handling Constrained Optimization in Factor Graphs for Autonomous Navigation,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {8}, Number {1}, p.432-439, (2023)
Handling Constrained Optimization in Factor Graphs for Autonomous Navigation,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {8}, Number {1}, p.432-439, (2023)
Photometric LiDAR and RGB-D Bundle Adjustment,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {8}, Number {7}, p.4362-4369, (2023)
Photometric LiDAR and RGB-D Bundle Adjustment,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {8}, Number {7}, p.4362-4369, (2023)
Photometric LiDAR and RGB-D Bundle Adjustment,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {8}, Number {7}, p.4362-4369, (2023)
Photometric LiDAR and RGB-D Bundle Adjustment,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {8}, Number {7}, p.4362-4369, (2023)
State of the Art of Visual Analytics for eXplainable Deep Learning,
, COMPUTER GRAPHICS FORUM, Volume {False}, Number {False}, p.False-False, (2023)
Unsupervised Pose Estimation by Means of an Innovative Vision Transformer,
, Volume {13589}, Number {False}, p.3-20, (2023)
Unsupervised Pose Estimation by Means of an Innovative Vision Transformer,
, Volume {13589}, Number {False}, p.3-20, (2023)
Unsupervised Pose Estimation by Means of an Innovative Vision Transformer,
, Volume {13589}, Number {False}, p.3-20, (2023)
Addressing Vehicle Sharing through Behavioral Analysis: A Solution to User Clustering Using Recency-Frequency-Monetary and Vehicle Relocation Based on Neighborhood Splits,
, INFORMATION, Volume {13}, Number {11}, p.511-False, (2022)
DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.6327-6334, (2022)
DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.6327-6334, (2022)
DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.6327-6334, (2022)
DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.6327-6334, (2022)
DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.6327-6334, (2022)
DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.6327-6334, (2022)
DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.6327-6334, (2022)
DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.6327-6334, (2022)
Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.7597-7604, (2022)
Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.7597-7604, (2022)
Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.7597-7604, (2022)
Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.7597-7604, (2022)
Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.7597-7604, (2022)
Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.7597-7604, (2022)
Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.7597-7604, (2022)
Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.7597-7604, (2022)
A Hierarchical Framework for Collaborative Artificial Intelligence,
, IEEE PERVASIVE COMPUTING, Volume {False}, Number {False}, p.1-10, (2022)
A Hierarchical Framework for Collaborative Artificial Intelligence,
, IEEE PERVASIVE COMPUTING, Volume {False}, Number {False}, p.1-10, (2022)
A Hierarchical Framework for Collaborative Artificial Intelligence,
, IEEE PERVASIVE COMPUTING, Volume {False}, Number {False}, p.1-10, (2022)
A Hierarchical Framework for Collaborative Artificial Intelligence,
, IEEE PERVASIVE COMPUTING, Volume {False}, Number {False}, p.1-10, (2022)
HiPE: Hierarchical Initialization for Pose Graphs,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {1}, p.287-294, (2022)
HiPE: Hierarchical Initialization for Pose Graphs,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {1}, p.287-294, (2022)
HiPE: Hierarchical Initialization for Pose Graphs,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {1}, p.287-294, (2022)
HiPE: Hierarchical Initialization for Pose Graphs,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {1}, p.287-294, (2022)
HiPE: Hierarchical Initialization for Pose Graphs,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {1}, p.287-294, (2022)
HiPE: Hierarchical Initialization for Pose Graphs,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {1}, p.287-294, (2022)
Impact of the COVID-19 Pandemic on Clinical Pathways for Non-SARS-CoV-2 Related Diseases in the Lazio Region, Italy,
, INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, Volume {19}, Number {2}, p.635-False, (2022)
Impact of the COVID-19 Pandemic on Clinical Pathways for Non-SARS-CoV-2 Related Diseases in the Lazio Region, Italy,
, INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, Volume {19}, Number {2}, p.635-False, (2022)
MD-SLAM: Multi-cue Direct SLAM,
, Volume {False}, Number {False}, p.11047-11054, (2022)
MD-SLAM: Multi-cue Direct SLAM,
, Volume {False}, Number {False}, p.11047-11054, (2022)
MD-SLAM: Multi-cue Direct SLAM,
, Volume {False}, Number {False}, p.11047-11054, (2022)
MD-SLAM: Multi-cue Direct SLAM,
, Volume {False}, Number {False}, p.11047-11054, (2022)