Joakim Bruslund Haurum

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Joakim Bruslund Haurum

PhD student

 https://orcid.org/0000-0002-0544-0422

  • Rendsburggade 14, 6-305

    9000 Aalborg

    Denmark

20172024

Research activity per year

Personal profile

Research profile

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 monitoring and open-world recognition.

Education/Academic qualification

Computer Vision, PhD, A Deep Dive into Computer Vision Aided Sewer Inspections

1 Jan 2019 → 15 Jun 2022

Vision, Graphics and Interactive Systems, M.Sc. in Engineering, Re-identification of Zebrafish using Metric Learning

1 Sept 2016 → 14 Jun 2018

Medialogy, B.Sc., Three Cushion Billiard Training Aid

1 Sept 2014 → 28 Jun 2016

Keywords

  • Computer Science
  • Computer Vision
  • Deep Learning
  • AI
  • Machine Learning
  • Fine-grained Image Analysis

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Collaborations from the last five years

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  • Agglomerative Token Clustering

    Haurum, J. B., Escalera, S., Taylor, G. W. & Moeslund, T. B., 2024, Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part LVII. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer, p. 200-218 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 15115 LNCS).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    1 Citation (Scopus)

  • 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 without publisher/journal › Research › peer-review

    Open Access

  • AssemblyNet: A Point Cloud Dataset and Benchmark for Predicting Part Directions in an Exploded Layout

    Gaarsdal, J., Haurum, J. B., Wolff, S. & Madsen, C. B., Apr 2024, 2024 Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE (Institute of Electrical and Electronics Engineers), p. 5824-5833 10 p. (IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access
    1 Citation (Scopus)

  • A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset

    Gharaee, Z., Gong, Z., Pellegrino, N., Zarubiieva, I., Haurum, J. B., Lowe, S. C., McKeown, J. T. A., Ho, C. C. Y., McLeod, J., Wei, Y.-Y. C., Agda, J., Ratnasingham, S., Steinke, D., Chang, A. X., Taylor, G. W. & Fieguth, P., 2024, Advances in Neural Information Processing Systems. Neural Information Processing Systems, Vol. 36. 27 p. (Advances in Neural Information Processing Systems, Vol. 36).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access
    File
    50 Downloads (Pure)

  • BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity

    Gharaee, Z., Lowe, S. C., Gong, Z., Arias, P. M., Pellegrino, N., Wang, A. T., Haurum, J. B., Zarubiieva, I., Kari, L., Steinke, D., Taylor, G. W., Fieguth, P. & Chang, A. X., 2024, Advances in Neural Information Processing Systems. Neural Information Processing Systems, 50 p. (Advances in Neural Information Processing Systems).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access
    File
    125 Downloads (Pure)
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