Short CV

Jan Weyler is a PhD student at the Photogrammetry Lab at the University of Bonn since February 2019. He received his master’s degree at the Institute of Geodesy and Geoinformation in 2019. Before starting his Ph.D., he was working as a student assistant for the EU funded project FLOURISH at the Institute of Photogrammetry.

Research Interests

• Machine Learning
• Computer Vision
• Agricultural Robotics

Publications

2023

• J. Weyler, T. Läbe, F. Magistri, J. Behley, and C. Stachniss, “Towards Domain Generalization in Crop and Weed Segmentation for Precision Farming Robots,” IEEE Robotics and Automation Letters (RA-L), vol. 8, iss. 6, pp. 3310-3317, 2023. doi:10.1109/LRA.2023.3262417
  [BibTeX] [PDF]

  @article{weyler2023ral,
  author = {J. Weyler and T. L\"abe and F. Magistri and J. Behley and C. Stachniss},
  title = {{Towards Domain Generalization in Crop and Weed Segmentation for Precision Farming Robots}},
  journal = ral,
  pages = {3310-3317},
  doi = {},
  volume = 8,
  number = 6,
  issn = {2377-3766},
  year = {2023},
  doi = {10.1109/LRA.2023.3262417}
  }

• G. Roggiolani, F. Magistri, T. Guadagnino, J. Weyler, G. Grisetti, C. Stachniss, and J. Behley, “On Domain-Specific Pre-Training for Effective Semantic Perception in Agricultural Robotics,” in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2023.
  [BibTeX] [PDF] [Code] [Video]

  @inproceedings{roggiolani2023icra-odsp,
  author = {G. Roggiolani and F. Magistri and T. Guadagnino and J. Weyler and G. Grisetti and C. Stachniss and J. Behley},
  title = {{On Domain-Specific Pre-Training for Effective Semantic Perception in Agricultural Robotics}},
  booktitle = icra,
  year = 2023,
  codeurl= {https://github.com/PRBonn/agri-pretraining},
  videourl = {https://youtu.be/FDWY_UnfsBs}
  }

2022

• J. Weyler, J. Quakernack, P. Lottes, J. Behley, and C. Stachniss, “Joint Plant and Leaf Instance Segmentation on Field-Scale UAV Imagery,” Ieee robotics and automation letters (ra-l), vol. 7, iss. 2, pp. 3787-3794, 2022. doi:10.1109/LRA.2022.3147462
  [BibTeX] [PDF]

  @article{weyler2022ral,
  author = {J. Weyler and J. Quakernack and P. Lottes and J. Behley and C. Stachniss},
  title = {{Joint Plant and Leaf Instance Segmentation on Field-Scale UAV Imagery}},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  year = 2022,
  doi = {10.1109/LRA.2022.3147462},
  issn = {377-3766},
  volume = {7},
  number = {2},
  pages = {3787-3794},
  }

• J. Weyler, F. Magistri, P. Seitz, J. Behley, and C. Stachniss, “In-Field Phenotyping Based on Crop Leaf and Plant Instance Segmentation,” in Proc. of the winter conf. on applications of computer vision (wacv), 2022.
  [BibTeX] [PDF]

  @inproceedings{weyler2022wacv,
  author = {J. Weyler and F. Magistri and P. Seitz and J. Behley and C. Stachniss},
  title = {{In-Field Phenotyping Based on Crop Leaf and Plant Instance Segmentation}},
  booktitle = wacv,
  year = 2022,
  }

2021

• J. Weyler, A. Milioto, T. Falck, J. Behley, and C. Stachniss, “Joint Plant Instance Detection and Leaf Count Estimation for In-Field Plant Phenotyping,” IEEE Robotics and Automation Letters (RA-L), vol. 6, pp. 3599-3606, 2021. doi:10.1109/LRA.2021.3060712
  [BibTeX] [PDF] [Video]

  @article{weyler2021ral,
  author = {J. Weyler and A. Milioto and T. Falck and J. Behley and C. Stachniss},
  title = {{Joint Plant Instance Detection and Leaf Count Estimation for In-Field Plant Phenotyping}},
  journal = ral,
  volume = 6,
  issue = 2,
  pages = {3599-3606},
  doi = {10.1109/LRA.2021.3060712},
  year = 2021,
  videourl = {https://youtu.be/Is18Rey625I},
  }

2020

• D. Gogoll, P. Lottes, J. Weyler, N. Petrinic, and C. Stachniss, “Unsupervised Domain Adaptation for Transferring Plant Classification Systems to New Field Environments, Crops, and Robots,” in Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2020.
  [BibTeX] [PDF] [Video]

  @inproceedings{gogoll2020iros,
  author = {D. Gogoll and P. Lottes and J. Weyler and N. Petrinic and C. Stachniss},
  title = {{Unsupervised Domain Adaptation for Transferring Plant Classification Systems to New Field Environments, Crops, and Robots}},
  booktitle = iros,
  year = {2020},
  url = {http://www.ipb.uni-bonn.de/pdfs/gogoll2020iros.pdf},
  videourl = {https://www.youtube.com/watch?v=6K79Ih6KXTs},
  }

Teaching

B36 – 20191/20192 – Photogrammetry

B36 – 20201/20202 – Photogrammetry

B29 – 20202/20211 – 3D Koordinatensysteme

B36 – 20211/20202 – Photogrammetry