Federico Magistri

Orcid: 0000-0003-2815-5760

According to our database¹, Federico Magistri authored at least 32 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

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

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

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

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., September, 2024

Improving Robotic Fruit Harvesting Within Cluttered Environments Through 3D Shape Completion.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., August, 2024

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

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2024

AdaCropFollow: Self-Supervised Online Adaptation for Visual Under-Canopy Navigation.

[BibT_eX]

[DOI]

Arun Narenthiran Sivakumar

Federico Magistri

Mateus Valverde Gasparino

Jens Behley

Cyrill Stachniss

Girish Chowdhary

CoRR, 2024

Active Learning of Robot Vision Using Adaptive Path Planning.

[BibT_eX]

[DOI]

CoRR, 2024

High-throughput 3D shape completion of potato tubers on a harvester.

[BibT_eX]

[DOI]

CoRR, 2024

A Dataset and Benchmark for Shape Completion of Fruits for Agricultural Robotics.

[BibT_eX]

[DOI]

CoRR, 2024

Efficient and Accurate Transformer-Based 3D Shape Completion and Reconstruction of Fruits for Agricultural Robots.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Open-World Semantic Segmentation Including Class Similarity.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

[BibT_eX]

[DOI]

IEEE Trans. Robotics, December, 2023

Unsupervised Pre-Training for 3D Leaf Instance Segmentation.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., November, 2023

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

[BibT_eX]

[DOI]

Comput. Electron. Agric., September, 2023

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

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., June, 2023

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

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2023

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

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

IROS, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Fruit Tracking Over Time Using High-Precision Point Clouds.

[BibT_eX]

[DOI]

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

Target-Aware Implicit Mapping for Agricultural Crop Inspection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

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

[BibT_eX]

[DOI]

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

Informative Path Planning for Active Learning in Aerial Semantic Mapping.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2020

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Giuseppe Andrea Fontanelli

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

Federico Magistri

Timeline

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