Research output per year
Research output per year
Personal profile
Biographical details
Haoyan Guan is a PhD candidate of Computer Science in Informatics under the supervision of Dr. Michael Spratling. His research interests are in the areas of computer vision focusing on limited supervision, few-shot learning in particular. Prior to joining the King’s College London, Haoyan received his Master's degree in Electronics Engineering at Shanghai Jiao Tong University in 2019 and his Bachelor's degree in Electronics Engineering at Harbin Institute of Technology in 2016.
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Research output
- 3 Conference paper
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Rethinking the backbone architecture for tiny object detection
Ning, J., Guan, H. & Spratling, M., 20 Mar 2023, In: Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications . 5, p. 103-114Research output: Contribution to journal › Conference paper › peer-review
Open AccessFile5 Citations (Scopus)84 Downloads (Pure) -
CobNet: cross attention on object and background for few-shot segmentation
Guan, H. & Spratling, M., 29 Nov 2022, 2022 26th International Conference on Pattern Recognition, ICPR 2022. p. 39-45 7 p. (Proceedings - International Conference on Pattern Recognition; vol. 2022-August).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
2 Citations (Scopus) -
Registration based few-shot anomaly detection
Huang, C., Guan, H., Jiang, A., Zhang, Y., Spratling, M. & Wang, Y.-F., 2022, Computer Vision – ECCV 2022 - 17th European Conference, Proceedings. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). Springer, Vol. 13684. p. 303-319 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13684 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access57 Citations (Scopus)
Thesis
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Few-shot Semantic Segmentation in Images
Guan, H. (Author), Spratling, M. (Supervisor) & Mallmann-Trenn, F. (Supervisor), 1 Feb 2024Student thesis: Doctoral Thesis › Doctor of Philosophy