Research output per year
Research output per year
Personal profile
Research areas
I conduct applied and fundamental research within Computer Vision and Machine Learning for analyzing novel and exciting problems grounded in the real-world.
Currently, I am especially interested in Fine-grained Image Analysis for expert tasks such as biodiversity and infrastructure monitoring. Thorugh this I research topics focused on handling data which can be hierarichal and long-tailed, often with annotations which can be open-world and scarce/noisy.
Education/Academic qualification
Computer Vision, PhD, A Deep Dive into Computer Vision Aided Sewer Inspections, Aalborg University
1. Jan 2019 → 15. Jun 2022
Vision, Graphics and Interactive Systems, M.Sc. in Engineering, Re-identification of Zebrafish using Metric Learning, Aalborg University
1. Sept 2016 → 14. Jun 2018
Medialogy, B.Sc., Three Cushion Billiard Training Aid, Aalborg University
1. Sept 2014 → 28. Jun 2016
Keywords
- Machine Learning
- Computer Vision
- Deep Learning
- AI
- Fine-Grained Image Analysis
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Agglomerative Token Clustering
Haurum, J. B., Escalera, S., Taylor, G. W. & Moeslund, T. B., 2025, Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part LVII. Springer, p. 200-218Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale
Gong, Z., Wang, A. T., Huo, X., Haurum, J. B., Lowe, S. C., Taylor, G. W. & Chang, A. X., 2025, International Conference on Representation Learning 2025 (ICLR 2025). Yue, Y., Garg, A., Peng, N., Sha, F. & Yu, R. (eds.). International Conference on Learning Representations, ICLR, 31 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open Access -
Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer
Slezák, F., Gjerde, M. K., Haurum, J. B., Nikolov, I. A., Laursen, M. S. & Moeslund, T. B., 2025.Research output: Contribution to conference without publisher/journal › Paper › Research › peer-review
Open Access -
Point Cloud Segmentation of Agricultural Vehicles using 3D Gaussian Splatting
Christiansen, A. T., Højrup, A. H., Stephansen, M. K., Sakib, M. I. A., Poojary, T. S., Slezák, F., Laursen, M. S., Moeslund, T. B. & Haurum, J. B., 2025.Research output: Contribution to conference without publisher/journal › Paper › Research › peer-review
Open Access -
An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Foundation Models
Lowe, S. C., Haurum, J. B., Oore, S., Moeslund, T. B. & Taylor, G. W., 2024.Research output: Contribution to conference without publisher/journal › Paper › Research › peer-review
Open Access
Projects
- 1 Finished
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Fine-Grained Analysis Collaboratory Meetup
Haurum, J. B. (PI)
17/03/2026 → 17/06/2026
Project: Private Foundations