Francesco Salvetti

According to our database, Francesco Salvetti authored at least 20 papers between 2020 and 2024.

Collaborative distances:

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

2024

Back-to-Bones: Rediscovering the role of backbones in domain generalization.

Simone Angarano, Mauro Martini, Francesco Salvetti, Vittorio Mazzia, Marcello Chiaberge

Pattern Recognit., 2024

A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in Row-Based Crops.

Simone Cerrato, Vittorio Mazzia, Francesco Salvetti, Mauro Martini, Simone Angarano, Alessandro Navone, Marcello Chiaberge

IEEE Access, 2024

2023

Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System.

Luca Marchionna, Giulio Pugliese, Mauro Martini, Simone Angarano, Francesco Salvetti, Marcello Chiaberge

Sensors, January, 2023

Generative Adversarial Super-Resolution at the edge with knowledge distillation.

Simone Angarano, Francesco Salvetti, Mauro Martini, Marcello Chiaberge

Eng. Appl. Artif. Intell., 2023

2022

Action Transformer: A self-attention model for short-time pose-based human action recognition.

Vittorio Mazzia, Simone Angarano, Francesco Salvetti, Federico Angelini, Marcello Chiaberge

Pattern Recognit., 2022

Ultra-Low-Power Range Error Mitigation for Ultra-Wideband Precise Localization.

Simone Angarano, Francesco Salvetti, Vittorio Mazzia, Giovanni Fantin, Dario Gandini, Marcello Chiaberge

Proceedings of the Intelligent Computing, 2022

Waypoint Generation in Row-Based Crops with Deep Learning and Contrastive Clustering.

Francesco Salvetti, Simone Angarano, Mauro Martini, Simone Cerrato, Marcello Chiaberge

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning.

Mauro Martini, Simone Cerrato, Francesco Salvetti, Simone Angarano, Marcello Chiaberge

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021

Robust ultra-wideband range error mitigation with deep learning at the edge.

Simone Angarano, Vittorio Mazzia, Francesco Salvetti, Giovanni Fantin, Marcello Chiaberge

Eng. Appl. Artif. Intell., 2021

A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in Row-Based Crops.

Simone Cerrato, Vittorio Mazzia, Francesco Salvetti, Marcello Chiaberge

CoRR, 2021

Action Transformer: A Self-Attention Model for Short-Time Human Action Recognition.

Vittorio Mazzia, Simone Angarano, Francesco Salvetti, Federico Angelini, Marcello Chiaberge

CoRR, 2021

Efficient-CapsNet: Capsule Network with Self-Attention Routing.

Vittorio Mazzia, Francesco Salvetti, Marcello Chiaberge

CoRR, 2021

DeepWay: A Deep Learning waypoint estimator for global path generation.

Vittorio Mazzia, Francesco Salvetti, Diego Aghi, Marcello Chiaberge

Comput. Electron. Agric., 2021

Indoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-Wideband.

Enrico Sutera, Vittorio Mazzia, Francesco Salvetti, Giovanni Fantin, Marcello Chiaberge

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

An Adaptive Row Crops Path Generator with Deep Learning Synergy.

Simone Cerrato, Diego Aghi, Vittorio Mazzia, Francesco Salvetti, Marcello Chiaberge

Proceedings of the 6th Asia-Pacific Conference on Intelligent Robot Systems, 2021

2020

Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks.

Francesco Salvetti, Vittorio Mazzia, Aleem Khaliq, Marcello Chiaberge

Remote. Sens., 2020

DeepWay: a Deep Learning Estimator for Unmanned Ground Vehicle Global Path Planning.

Vittorio Mazzia, Francesco Salvetti, Diego Aghi, Marcello Chiaberge

CoRR, 2020

A Cost-Effective Person-Following System for Assistive Unmanned Vehicles with Deep Learning at the Edge.

Anna Boschi, Francesco Salvetti, Vittorio Mazzia, Marcello Chiaberge

CoRR, 2020

Multi-image Super Resolution of Remotely Sensed Images using Residual Feature Attention Deep Neural Networks.

Francesco Salvetti, Vittorio Mazzia, Aleem Khaliq, Marcello Chiaberge

CoRR, 2020

Real-Time Apple Detection System Using Embedded Systems With Hardware Accelerators: An Edge AI Application.

Vittorio Mazzia, Aleem Khaliq, Francesco Salvetti, Marcello Chiaberge

IEEE Access, 2020