Federico Magistri

University of Bonn, Sapienza University of Rome, Robotics Research (United States)

论文数

24

总引用数

419

H-Index

13

关于

暂无简介。

研究焦点

Computer science23 · 417 次引用
Artificial intelligence22 · 402 次引用
Mathematics12 · 244 次引用
Machine learning11 · 240 次引用
Robot14 · 233 次引用
Computer vision12 · 217 次引用
Domain (mathematical analysis)8 · 183 次引用
Segmentation10 · 162 次引用
Pattern recognition (psychology)7 · 144 次引用
Engineering7 · 116 次引用
Task (project management)4 · 101 次引用
Field (mathematics)6 · 98 次引用

主要成就

13
H 指数
24
论文
419
总引用数
17
篇均引用
🏆 最高被引论文
PhenoBench: A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain
48 次引用 · 2024
📈 最高产年份: 2023 (10 论文)
🤝 主要合作者: 56
🏛 所属机构: University of Bonn, Sapienza University of Rome, Robotics Research (United States)

代表论文

  1. 1
    PhenoBench: A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain
    48 次引用 · 2024
  2. 2
    Contrastive 3D Shape Completion and Reconstruction for Agricultural Robots Using RGB-D Frames
    42 次引用 · 2022
  3. 3
    Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain
    42 次引用 · 2023
  4. 4
    Deep Reinforcement Learning With Dynamic Graphs for Adaptive Informative Path Planning
    35 次引用 · 2024
  5. 5
    From one field to another—Unsupervised domain adaptation for semantic segmentation in agricultural robotics
    31 次引用 · 2023
  6. 6
    Towards Domain Generalization in Crop and Weed Segmentation for Precision Farming Robots
    30 次引用 · 2023
  7. 7
    Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots
    23 次引用 · 2023
  8. 8
    Improving Robotic Fruit Harvesting Within Cluttered Environments Through 3D Shape Completion
    21 次引用 · 2024
  9. 9
    Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss
    16 次引用 · 2021
  10. 10
    Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning
    16 次引用 · 2024

主要合作者

CSCyrill Stachniss23 篇合著论文JBJens Behley16 篇合著论文EMElias Marks9 篇合著论文TGTiziano Guadagnino6 篇合著论文JWJan Weyler5 篇合著论文MPMarija Popović5 篇合著论文TLThomas Läbe4 篇合著论文CMChris McCool4 篇合著论文MSMatteo Sodano4 篇合著论文GRGianmarco Roggiolani4 篇合著论文JRJulius Rückin4 篇合著论文LKLasse Klingbeil2 篇合著论文ARAlessandro Riccardi2 篇合著论文MBMaren Bennewitz2 篇合著论文CSClaus Smitt2 篇合著论文NCNived Chebrolu2 篇合著论文SNSumanth Nagulavancha2 篇合著论文MHMichael Halstead2 篇合著论文YLYue Linn Chong2 篇合著论文YPYue Pan2 篇合著论文
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