Yue (Linn) Chong

Ph.D. Student
Contact:
Email: linn.chong@nulluni-bonn.de
Tel: +49 – 228 – 73 – 29 01
Fax: +49 – 228 – 73 – 27 12
Office: Nussallee 15, 1. OG, room 1.003
Address:
University of Bonn
Photogrammetry, IGG
Nussallee 15
53115 Bonn

Profiles: Google Scholar | Github

Short CV

Yue (Linn) Chong joined the team as a Ph.D. student in November 2021. Prior to that, she worked as a Research Engineer at the National University of Singapore (NUS) from 2017 to 2021. She graduated with a Master in Engineering and a Bachelor of Engineering from NUS in 2020 and 2017 respectively.

Research Interests

  • Computer Vision
  • Machine Learning
  • Agricultural Robotics

Projects

  • PhenoRob – Robotics and Phenotyping for Sustainable Crop Production (DFG Cluster of Excellence)

Publications

2023

  • Y. L. Chong, J. Weyler, P. Lottes, J. Behley, and C. Stachniss, “Unsupervised Generation of Labeled Training Images for Crop-Weed Segmentation in New Fields and on Different Robotic Platforms,” IEEE Robotics and Automation Letters (RA-L), vol. 8, iss. 8, p. 5259–5266, 2023. doi:10.1109/LRA.2023.3293356
    [BibTeX] [PDF] [Code]
    @article{chong2023ral,
    author = {Y.L. Chong and J. Weyler and P. Lottes and J. Behley and C. Stachniss},
    title = {{Unsupervised Generation of Labeled Training Images for Crop-Weed Segmentation in New Fields and on Different Robotic Platforms}},
    journal = ral,
    volume = {8},
    number = {8},
    pages = {5259--5266},
    year = 2023,
    issn = {2377-3766},
    doi = {10.1109/LRA.2023.3293356},
    note = {accepted},
    codeurl = {https://github.com/PRBonn/StyleGenForLabels}
    }

  • J. Weyler, F. Magistri, E. Marks, Y. L. Chong, M. Sodano, G. Roggiolani, N. Chebrolu, C. Stachniss, and J. Behley, “PhenoBench –- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain,” arXiv preprint, vol. arXiv:2306.04557, 2023.
    [BibTeX] [PDF] [Code]
    @article{weyler2023arxiv,
    author = {Jan Weyler and Federico Magistri and Elias Marks and Yue Linn Chong and Matteo Sodano
    and Gianmarco Roggiolani and Nived Chebrolu and Cyrill Stachniss and Jens Behley},
    title = {{PhenoBench --- A Large Dataset and Benchmarks for Semantic Image Interpretation
    in the Agricultural Domain}},
    journal = {arXiv preprint},
    volume = {arXiv:2306.04557},
    year = {2023},
    codeurl = {https://github.com/PRBonn/phenobench}
    }