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
2024
- 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,” IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2024. doi:10.1109/TPAMI.2024.3419548
[BibTeX] [PDF] [Code]@article{weyler2024tpami, author = {J. Weyler and F. Magistri and E. Marks and Y.L. Chong and M. Sodano and G. Roggiolani and N. Chebrolu and C. Stachniss and J. Behley}, title = {{PhenoBench: A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain}}, journal = tpami, year = {2024}, volume = {}, number = {}, pages = {}, doi = {10.1109/TPAMI.2024.3419548}, codeurl = {https://github.com/PRBonn/phenobench}, }
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] [Video]@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}, videourl = {https://youtu.be/SpvrR9sgf2k}, 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} }