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Federico Magistri
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2020 – today
- 2024
- [j11]Jan Weyler
, Federico Magistri
PhenoBench: A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9583-9594 (2024) - [j10]Julius Rückin
Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning. IEEE Robotics Autom. Lett. 9(3): 2662-2669 (2024) - [j9]Federico Magistri
Improving Robotic Fruit Harvesting Within Cluttered Environments Through 3D Shape Completion. IEEE Robotics Autom. Lett. 9(8): 7357-7364 (2024) - [j8]Apoorva Vashisth
Deep Reinforcement Learning With Dynamic Graphs for Adaptive Informative Path Planning. IEEE Robotics Autom. Lett. 9(9): 7747-7754 (2024) - [c16]Matteo Sodano, Federico Magistri, Lucas Nunes, Jens Behley, Cyrill Stachniss:
Open-World Semantic Segmentation Including Class Similarity. CVPR 2024: 3184-3194 - [c15]Federico Magistri, Rodrigo Marcuzzi, Elias Marks, Matteo Sodano, Jens Behley, Cyrill Stachniss:
Efficient and Accurate Transformer-Based 3D Shape Completion and Reconstruction of Fruits for Agricultural Robots. ICRA 2024: 8657-8663 - [i19]Gianmarco Roggiolani, Federico Magistri, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss:
Unsupervised Pre-Training for 3D Leaf Instance Segmentation. CoRR abs/2401.08720 (2024) - [i18]Apoorva Vashisth, Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning. CoRR abs/2402.04894 (2024) - [i17]Matteo Sodano, Federico Magistri, Lucas Nunes, Jens Behley, Cyrill Stachniss:
Open-World Semantic Segmentation Including Class Similarity. CoRR abs/2403.07532 (2024) - [i16]Federico Magistri, Thomas Läbe, Elias Marks, Sumanth Nagulavancha, Yue Pan, Claus Smitt, Lasse Klingbeil, Michael Halstead, Heiner Kuhlmann, Chris McCool, Jens Behley, Cyrill Stachniss:
A Dataset and Benchmark for Shape Completion of Fruits for Agricultural Robotics. CoRR abs/2407.13304 (2024) - [i15]Pieter M. Blok, Federico Magistri, Cyrill Stachniss, Haozhou Wang, James Burridge, Wei Guo:
High-throughput 3D shape completion of potato tubers on a harvester. CoRR abs/2407.21341 (2024) - [i14]Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Active Learning of Robot Vision Using Adaptive Path Planning. CoRR abs/2410.10684 (2024) - [i13]Arun Narenthiran Sivakumar, Federico Magistri, Mateus Valverde Gasparino, Jens Behley, Cyrill Stachniss, Girish Chowdhary:
AdaCropFollow: Self-Supervised Online Adaptation for Visual Under-Canopy Navigation. CoRR abs/2410.12411 (2024) - 2023
- [j7]Federico Magistri
From one field to another - Unsupervised domain adaptation for semantic segmentation in agricultural robotics. Comput. Electron. Agric. 212: 108114 (2023) - [j6]Jan Weyler
Towards Domain Generalization in Crop and Weed Segmentation for Precision Farming Robots. IEEE Robotics Autom. Lett. 8(6): 3310-3317 (2023) - [j5]Elias Marks
High Precision Leaf Instance Segmentation for Phenotyping in Point Clouds Obtained Under Real Field Conditions. IEEE Robotics Autom. Lett. 8(8): 4791-4798 (2023) - [j4]Gianmarco Roggiolani
Unsupervised Pre-Training for 3D Leaf Instance Segmentation. IEEE Robotics Autom. Lett. 8(11): 7448-7455 (2023) - [j3]Felix Stache, Jonas Westheider
Adaptive path planning for UAVs for multi-resolution semantic segmentation. Robotics Auton. Syst. 159: 104288 (2023) - [j2]Julius Rückin
An Informative Path Planning Framework for Active Learning in UAV-Based Semantic Mapping. IEEE Trans. Robotics 39(6): 4279-4296 (2023) - [c14]Matteo Sodano, Federico Magistri, Tiziano Guadagnino, Jens Behley
Robust Double-Encoder Network for RGB-D Panoptic Segmentation. ICRA 2023: 4953-4959 - [c13]Gianmarco Roggiolani, Matteo Sodano, Tiziano Guadagnino, Federico Magistri, Jens Behley
Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain. ICRA 2023: 9601-9607 - [c12]Shane Kelly, Alessandro Riccardi, Elias Marks, Federico Magistri, Tiziano Guadagnino, Margarita Chli, Cyrill Stachniss:
Target-Aware Implicit Mapping for Agricultural Crop Inspection. ICRA 2023: 9608-9614 - [c11]Alessandro Riccardi, Shane Kelly, Elias Marks, Federico Magistri, Tiziano Guadagnino, Jens Behley
Fruit Tracking Over Time Using High-Precision Point Clouds. ICRA 2023: 9630-9636 - [c10]Gianmarco Roggiolani, Federico Magistri, Tiziano Guadagnino, Jan Weyler, Giorgio Grisetti, Cyrill Stachniss, Jens Behley
On Domain-Specific Pre- Training for Effective Semantic Perception in Agricultural Robotics. ICRA 2023: 11786-11793 - [c9]Yue Pan, Federico Magistri, Thomas Läbe, Elias Marks, Claus Smitt, Chris McCool
Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots. IROS 2023: 4226-4233 - [i12]Julius Rückin, Federico Magistri, Cyrill Stachniss
An Informative Path Planning Framework for Active Learning in UAV-based Semantic Mapping. CoRR abs/2302.03347 (2023) - [i11]Yue Pan, Federico Magistri, Thomas Läbe, Elias Marks, Claus Smitt, Chris McCool, Jens Behley
Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots. CoRR abs/2303.08923 (2023) - [i10]Gianmarco Roggiolani, Federico Magistri, Tiziano Guadagnino, Jan Weyler, Giorgio Grisetti, Cyrill Stachniss
On Domain-Specific Pre-Training for Effective Semantic Perception in Agricultural Robotics. CoRR abs/2303.12499 (2023) - [i9]Jan Weyler, Federico Magistri, Elias Marks, Yue Linn Chong, Matteo Sodano, Gianmarco Roggiolani, Nived Chebrolu, Cyrill Stachniss, Jens Behley:
PhenoBench - A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain. CoRR abs/2306.04557 (2023) - [i8]Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning. CoRR abs/2312.04402 (2023) - [i7]Elias Marks, Jonas Bömer, Federico Magistri, Anurag Sah, Jens Behley, Cyrill Stachniss:
BonnBeetClouds3D: A Dataset Towards Point Cloud-based Organ-level Phenotyping of Sugar Beet Plants under Field Conditions. CoRR abs/2312.14706 (2023) - 2022
- [j1]Federico Magistri
Contrastive 3D Shape Completion and Reconstruction for Agricultural Robots Using RGB-D Frames. IEEE Robotics Autom. Lett. 7(4): 10120-10127 (2022) - [c8]Elias Marks, Federico Magistri, Cyrill Stachniss
Precise 3D Reconstruction of Plants from UAV Imagery Combining Bundle Adjustment and Template Matching. ICRA 2022: 2259-2265 - [c7]Julius Rückin, Liren Jin, Federico Magistri, Cyrill Stachniss
Informative Path Planning for Active Learning in Aerial Semantic Mapping. IROS 2022: 11932-11939 - [c6]Jan Weyler, Federico Magistri, Peter Seitz, Jens Behley
In-Field Phenotyping Based on Crop Leaf and Plant Instance Segmentation. WACV 2022: 2968-2977 - [i6]Felix Stache, Jonas Westheider, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Adaptive Path Planning for UAVs for Multi-Resolution Semantic Segmentation. CoRR abs/2203.01642 (2022) - [i5]Julius Rückin, Liren Jin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Informative Path Planning for Active Learning in Aerial Semantic Mapping. CoRR abs/2203.01652 (2022) - [i4]Carlos Carbone, Dario Albani, Federico Magistri, Dimitri Ognibene, Cyrill Stachniss, Gert Kootstra, Daniele Nardi, Vito Trianni:
Monitoring and mapping of crop fields with UAV swarms based on information gain. CoRR abs/2203.11766 (2022) - [i3]Matteo Sodano, Federico Magistri, Tiziano Guadagnino, Jens Behley
Robust Double-Encoder Network for RGB-D Panoptic Segmentation. CoRR abs/2210.02834 (2022) - [i2]Gianmarco Roggiolani, Matteo Sodano, Tiziano Guadagnino, Federico Magistri, Jens Behley
Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain. CoRR abs/2210.07879 (2022) - 2021
- [c5]Carlos Carbone, Dario Albani, Federico Magistri, Dimitri Ognibene, Cyrill Stachniss
Monitoring and Mapping of Crop Fields with UAV Swarms Based on Information Gain. DARS 2021: 306-319 - [c4]Felix Stache, Jonas Westheider, Federico Magistri, Marija Popovic, Cyrill Stachniss
Adaptive Path Planning for UAV-based Multi-Resolution Semantic Segmentation. ECMR 2021: 1-6 - [c3]Federico Magistri, Nived Chebrolu, Jens Behley
Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss. ICRA 2021: 13960-13966 - [i1]Felix Stache, Jonas Westheider, Federico Magistri, Marija Popovic, Cyrill Stachniss:
Adaptive Path Planning for UAV-based Multi-Resolution Semantic Segmentation. CoRR abs/2108.01884 (2021) - 2020
- [c2]Federico Magistri, Nived Chebrolu, Cyrill Stachniss
Segmentation-Based 4D Registration of Plants Point Clouds for Phenotyping. IROS 2020: 2433-2439
2010 – 2019
- 2019
- [c1]Marco Ferro
A Portable da Vinci Simulator in Virtual Reality. IRC 2019: 447-448
Coauthor Index
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