Dario Mantegazza

According to our database, Dario Mantegazza authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Detecting Anomalous 3D Point Clouds Using Pre-Trained Feature Extractors.

Dario Mantegazza, Alessandro Giusti

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

Hazards&Robots: A Dataset for Visual Anomaly Detection in Robotics.

Dario Mantegazza, Alind Xhyra, Luca Maria Gambardella, Alessandro Giusti, Jerome Guzzi

Dataset, April, 2023

Active Anomaly Detection for Autonomous Robots: A Benchmark.

Dario Mantegazza, Alind Xhyra, Alessandro Giusti, Jérôme Guzzi

Proceedings of the Towards Autonomous Robotic Systems - 24th Annual Conference, 2023

2022

Hazards&Robots: A Dataset for Visual Anomaly Detection in Robotics.

Dario Mantegazza, Alessandro Giusti, Luca Maria Gambardella, Jerome Guzzi

Dataset, September, 2022

Hazards&Robots: A Dataset for Visual Anomaly Detection in Robotics.

Dario Mantegazza, Alind Xhyra, Luca Maria Gambardella, Alessandro Giusti, Jerome Guzzi

Dataset, March, 2022

An Outlier Exposure Approach to Improve Visual Anomaly Detection Performance for Mobile Robots.

Dario Mantegazza, Alessandro Giusti, Luca Maria Gambardella, Jérôme Guzzi

IEEE Robotics Autom. Lett., 2022

Challenges in Visual Anomaly Detection for Mobile Robots.

Dario Mantegazza, Alessandro Giusti, Luca Maria Gambardella, Andrea Emilio Rizzoli, Jérôme Guzzi

CoRR, 2022

Sensing Anomalies as Potential Hazards: Datasets and Benchmarks.

Dario Mantegazza, Carlos Redondo, Fran Espada, Luca Maria Gambardella, Alessandro Giusti, Jérôme Guzzi

Proceedings of the Towards Autonomous Robotic Systems - 23rd Annual Conference, 2022

2021

Dataset for Sensing Anomalies as Potential Hazards in Mobile Robots.

Dario Mantegazza, Carlos Redondo, Fran Espada, Luca Maria Gambardella, Alessandro Giusti, Jerome Guzzi

Dataset, September, 2021

Semantic segmentation on Swiss3DCities: A benchmark study on aerial photogrammetric 3D pointcloud dataset.

Gülcan Can, Dario Mantegazza, Gabriele Abbate, Sébastien Chappuis, Alessandro Giusti

Pattern Recognit. Lett., 2021

Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from Small Datasets using Background Randomization.

Marco Ferri, Dario Mantegazza, Elia Cereda, Nicky Zimmerman, Luca Maria Gambardella, Daniele Palossi, Jérôme Guzzi, Alessandro Giusti

CoRR, 2021

Improving the Generalization Capability of DNNs for Ultra-low Power Autonomous Nano-UAVs.

Elia Cereda, Marco Ferri, Dario Mantegazza, Nicky Zimmerman, Luca Maria Gambardella, Jérôme Guzzi, Alessandro Giusti, Daniele Palossi

Proceedings of the 17th International Conference on Distributed Computing in Sensor Systems, 2021

2020

Swiss3DCities: Aerial Photogrammetric 3D Pointcloud Dataset with Semantic Labels.

Gülcan Can, Dario Mantegazza, Gabriele Abbate, Sébastien Chappuis, Alessandro Giusti

Dataset, December, 2020

2019

Vision-based Control of a Quadrotor in User Proximity: Mediated vs End-to-End Learning Approaches.

Dario Mantegazza, Jérôme Guzzi, Luca Maria Gambardella, Alessandro Giusti

Proceedings of the International Conference on Robotics and Automation, 2019

Learning Vision-Based Quadrotor Control in User Proximity.

Dario Mantegazza, Jerome Guzzi, Luca Maria Gambardella, Alessandro Giusti

Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019