Federico Magistri

About Federico Magistri

Federico Magistri, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Rheinische Friedrich-Wilhelms-Universität Bonn, specializes in the field of Agricultural Robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Open-World Semantic Segmentation Including Class Similarity

Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning

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

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

Panoptic mapping with fruit completion and pose estimation for horticultural robots

Unsupervised Pre-Training for 3D Leaf Instance Segmentation

An informative path planning framework for active learning in uav-based semantic mapping

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

Federico Magistri Information

University

Position

PhD Student at Photogrammetry and Robotics Lab

Citations(all)

268

Citations(since 2020)

267

Cited By

9

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Federico Magistri Skills & Research Interests

Agricultural Robotics

Top articles of Federico Magistri

Open-World Semantic Segmentation Including Class Similarity

arXiv preprint arXiv:2403.07532

2024/3/12

Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning

arXiv preprint arXiv:2402.04894

2024/2/7

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

IEEE Robotics and Automation Letters

2024/1/29

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

arXiv preprint arXiv:2312.14706

2023/12/22

Panoptic mapping with fruit completion and pose estimation for horticultural robots

2023/10/1

Unsupervised Pre-Training for 3D Leaf Instance Segmentation

IEEE Robotics and Automation Letters

2023/9/27

An informative path planning framework for active learning in uav-based semantic mapping

IEEE Transactions on Robotics

2023/9/26

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

Computers and Electronics in Agriculture

2023/9/1

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

IEEE Robotics and Automation Letters

2023/6/21

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

arXiv preprint arXiv:2306.04557

2023/6/7

Fruit Tracking Over Time Using High-Precision Point Clouds

2023/5/29

Target-Aware Implicit Mapping for Agricultural Crop Inspection

2023/5/29

Hierarchical approach for joint semantic, plant instance, and leaf instance segmentation in the agricultural domain

2023/5/29

Robust Double-Encoder Network for RGB-D Panoptic Segmentation

2023/5/29

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

IEEE Robotics and Automation Letters

2023/3/28

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

2023/5/29

Adaptive path planning for UAVs for multi-resolution semantic segmentation

Robotics and Autonomous Systems

2023/1/1

Informative Path Planning for Active Learning in Aerial Semantic Mapping

2022/10/23

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

IEEE Robotics and Automation Letters

2022/7/22

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

2022/5/23

Federico Magistri
Federico Magistri

H-Index: 2

Cyrill Stachniss
Cyrill Stachniss

H-Index: 45

See List of Professors in Federico Magistri University(Rheinische Friedrich-Wilhelms-Universität Bonn)

Co-Authors

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