Federico Magistri

According to our database, Federico Magistri authored at least 26 papers between 2019 and 2024.

Collaborative distances:

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

2024

Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning.

Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popovic

IEEE Robotics Autom. Lett., 2024

Open-World Semantic Segmentation Including Class Similarity.

Matteo Sodano, Federico Magistri, Lucas Nunes, Jens Behley, Cyrill Stachniss

CoRR, 2024

Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning.

Apoorva Vashisth, Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popovic

CoRR, 2024

2023

An Informative Path Planning Framework for Active Learning in UAV-Based Semantic Mapping.

Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popovic

IEEE Trans. Robotics, December, 2023

Unsupervised Pre-Training for 3D Leaf Instance Segmentation.

Gianmarco Roggiolani, Federico Magistri, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss

IEEE Robotics Autom. Lett., November, 2023

From one field to another - Unsupervised domain adaptation for semantic segmentation in agricultural robotics.

Federico Magistri, Jan Weyler, Dario Gogoll, Philipp Lottes, Jens Behley, Nik Petrinic, Cyrill Stachniss

Comput. Electron. Agric., September, 2023

Towards Domain Generalization in Crop and Weed Segmentation for Precision Farming Robots.

Jan Weyler, Thomas Läbe, Federico Magistri, Jens Behley, Cyrill Stachniss

IEEE Robotics Autom. Lett., June, 2023

Adaptive path planning for UAVs for multi-resolution semantic segmentation.

Felix Stache, Jonas Westheider, Federico Magistri, Cyrill Stachniss, Marija Popovic

Robotics Auton. Syst., 2023

High Precision Leaf Instance Segmentation for Phenotyping in Point Clouds Obtained Under Real Field Conditions.

Elias Marks, Matteo Sodano, Federico Magistri, Louis Wiesmann, Dhagash Desai, Rodrigo Marcuzzi, Jens Behley, Cyrill Stachniss

IEEE Robotics Autom. Lett., 2023

BonnBeetClouds3D: A Dataset Towards Point Cloud-based Organ-level Phenotyping of Sugar Beet Plants under Field Conditions.

Elias Marks, Jonas Bömer, Federico Magistri, Anurag Sah, Jens Behley, Cyrill Stachniss

CoRR, 2023

PhenoBench - A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain.

Jan Weyler, Federico Magistri, Elias Marks, Yue Linn Chong, Matteo Sodano, Gianmarco Roggiolani, Nived Chebrolu, Cyrill Stachniss, Jens Behley

CoRR, 2023

Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots.

Yue Pan, Federico Magistri, Thomas Läbe, Elias Marks, Claus Smitt, Chris McCool, Jens Behley, Cyrill Stachniss

IROS, 2023

Robust Double-Encoder Network for RGB-D Panoptic Segmentation.

Matteo Sodano, Federico Magistri, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain.

Gianmarco Roggiolani, Matteo Sodano, Tiziano Guadagnino, Federico Magistri, Jens Behley, Cyrill Stachniss

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

On Domain-Specific Pre- Training for Effective Semantic Perception in Agricultural Robotics.

Gianmarco Roggiolani, Federico Magistri, Tiziano Guadagnino, Jan Weyler, Giorgio Grisetti, Cyrill Stachniss, Jens Behley

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Fruit Tracking Over Time Using High-Precision Point Clouds.

Alessandro Riccardi, Shane Kelly, Elias Marks, Federico Magistri, Tiziano Guadagnino, Jens Behley, Maren Bennewitz, Cyrill Stachniss

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Target-Aware Implicit Mapping for Agricultural Crop Inspection.

Shane Kelly, Alessandro Riccardi, Elias Marks, Federico Magistri, Tiziano Guadagnino, Margarita Chli, Cyrill Stachniss

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Contrastive 3D Shape Completion and Reconstruction for Agricultural Robots Using RGB-D Frames.

Federico Magistri, Elias Marks, Sumanth Nagulavancha, Ignacio Vizzo, Thomas Läbe, Jens Behley, Michael Halstead, Chris McCool, Cyrill Stachniss

IEEE Robotics Autom. Lett., 2022

In-Field Phenotyping Based on Crop Leaf and Plant Instance Segmentation.

Jan Weyler, Federico Magistri, Peter Seitz, Jens Behley, Cyrill Stachniss

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Informative Path Planning for Active Learning in Aerial Semantic Mapping.

Julius Rückin, Liren Jin, Federico Magistri, Cyrill Stachniss, Marija Popovic

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Precise 3D Reconstruction of Plants from UAV Imagery Combining Bundle Adjustment and Template Matching.

Elias Marks, Federico Magistri, Cyrill Stachniss

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss.

Federico Magistri, Nived Chebrolu, Jens Behley, Cyrill Stachniss

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Adaptive Path Planning for UAV-based Multi-Resolution Semantic Segmentation.

Felix Stache, Jonas Westheider, Federico Magistri, Marija Popovic, Cyrill Stachniss

Proceedings of the 10th European Conference on Mobile Robots, 2021

Monitoring and Mapping of Crop Fields with UAV Swarms Based on Information Gain.

Carlos Carbone, Dario Albani, Federico Magistri, Dimitri Ognibene, Cyrill Stachniss, Gert Kootstra, Daniele Nardi, Vito Trianni

Proceedings of the Distributed Autonomous Robotic Systems - 15th International Symposium, 2021

2020

Segmentation-Based 4D Registration of Plants Point Clouds for Phenotyping.

Federico Magistri, Nived Chebrolu, Cyrill Stachniss

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

A Portable da Vinci Simulator in Virtual Reality.

Marco Ferro, Damiano Brunori, Federico Magistri, Lorenzo Saiella, Mario Selvaggio, Giuseppe Andrea Fontanelli

Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019