| Detection of Marine Animals in a New Underwater Dataset with Varying Visibility M Pedersen, JB Haurum, R Gade, TB Moeslund Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 128 | 2019 |
| A survey on image-based automation of CCTV and SSET sewer inspections JB Haurum, TB Moeslund Automation in Construction 111, 103061, 2020 | 95 | 2020 |
| Sewer-ML: A multi-label sewer defect classification dataset and benchmark JB Haurum, TB Moeslund Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 66 | 2021 |
| 3d-zef: A 3d zebrafish tracking benchmark dataset M Pedersen, JB Haurum, SH Bengtson, TB Moeslund Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 49 | 2020 |
| Sewer Defect Classification using Synthetic Point Clouds JB Haurum, MMJ Allahham, MS Lynge, KS Henriksen, IA Nikolov, ... 16th International Conference on Computer Vision Theory and Applications …, 2021 | 26 | 2021 |
| Re-Identification of Zebrafish using Metric Learning JB Haurum, A Karpova, M Pedersen, SH Bengtson, TB Moeslund Proceedings of the IEEE Winter Conference on Applications of Computer Vision …, 2020 | 23* | 2020 |
| Water level estimation in sewer pipes using deep convolutional neural networks JB Haurum, CH Bahnsen, M Pedersen, TB Moeslund Water 12 (12), 3412, 2020 | 22 | 2020 |
| Which tokens to use? investigating token reduction in vision transformers JB Haurum, S Escalera, GW Taylor, TB Moeslund Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 21 | 2023 |
| Multi-scale hybrid vision transformer and Sinkhorn tokenizer for sewer defect classification JB Haurum, M Madadi, S Escalera, TB Moeslund Automation in Construction 144, 104614, 2022 | 15 | 2022 |
| A step towards worldwide biodiversity assessment: The bioscan-1m insect dataset Z Gharaee, ZM Gong, N Pellegrino, I Zarubiieva, JB Haurum, S Lowe, ... Advances in Neural Information Processing Systems 36, 2024 | 14 | 2024 |
| Is it Raining Outside? Detection of Rainfall using General-Purpose Surveillance Cameras. JB Haurum, CH Bahnsen, TB Moeslund Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 12 | 2019 |
| Generating synthetic point clouds of sewer networks: An initial investigation KS Henriksen, MS Lynge, MDB Jeppesen, MMJ Allahham, IA Nikolov, ... International Conference on Augmented Reality, Virtual Reality and Computer …, 2020 | 8 | 2020 |
| Re-identification of giant sunfish using keypoint matching M Pedersen, JB Haurum, TB Moeslund, M Nyegaard Proceedings of the Northern Lights Deep Learning Workshop 3, 2022 | 7 | 2022 |
| Multi-task classification of sewer pipe defects and properties using a cross-task graph neural network decoder JB Haurum, M Madadi, S Escalera, TB Moeslund Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 7 | 2022 |
| BarcodeBERT: Transformers for Biodiversity Analysis PM Arias, N Sadjadi, M Safari, ZM Gong, AT Wang, SC Lowe, JB Haurum, ... arXiv preprint arXiv:2311.02401, 2023 | 2* | 2023 |
| MOTCOM: The multi-object tracking dataset complexity metric M Pedersen, JB Haurum, P Dendorfer, TB Moeslund European Conference on Computer Vision, 20-37, 2022 | 2 | 2022 |
| An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders SC Lowe, JB Haurum, S Oore, TB Moeslund, GW Taylor arXiv preprint arXiv:2406.02465, 2024 | 1 | 2024 |
| BIOSCAN-CLIP: Bridging Vision and Genomics for Biodiversity Monitoring at Scale ZM Gong, AT Wang, JB Haurum, SC Lowe, GW Taylor, AX Chang arXiv preprint arXiv:2405.17537, 2024 | 1 | 2024 |
| Zero-shot clustering of embeddings with pretrained and self-supervised learnt encoders SC Lowe, JB Haurum, S Oore, TB Moeslund, GW Taylor R0-FoMo: Robustness of Few-shot and Zero-shot Learning in Large Foundation …, 2023 | 1 | 2023 |
| A Deep Dive into Computer Vision Aided Sewer Inspections JB Haurum Aalborg Universitetsforlag, 2022 | 1 | 2022 |
Thomas MoeslundProfessor, Aalborg UniversityVerified email at create.aau.dk
