| 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 | 73 | 2019 |
| A survey on image-based automation of CCTV and SSET sewer inspections JB Haurum, TB Moeslund Automation in Construction 111, 103061, 2020 | 67 | 2020 |
| 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 | 34 | 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 | 31 | 2021 |
| Water level estimation in sewer pipes using deep convolutional neural networks JB Haurum, CH Bahnsen, M Pedersen, TB Moeslund Water 12 (12), 3412, 2020 | 15 | 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 | 14 | 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 | 14* | 2020 |
| 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 | 7 | 2019 |
| Generating synthetic point clouds of sewer networks: An initial investigation KS Henriksen, MS Lynge, MDB Jeppesen, MMJ Allahham, IA Nikolov, ... Augmented Reality, Virtual Reality, and Computer Graphics: 7th International …, 2020 | 6 | 2020 |
| 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 | 4 | 2022 |
| 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 | 1 | 2022 |
| MOTCOM: The Multi-Object Tracking Dataset Complexity Metric M Pedersen, JB Haurum, P Dendorfer, TB Moeslund Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 1 | 2022 |
| 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 | 1 | 2022 |
| A Deep Dive into Computer Vision Aided Sewer Inspections JB Haurum Aalborg Universitetsforlag, 2022 | 1 | 2022 |
| Pixel Reprojection of 360 Degree Renderings for Small Parallax Effects JB Haurum, CN Daugbjerg, P Rohoska, A Coifman, AJ Hansen, M Kraus Augmented Reality, Virtual Reality, and Computer Graphics: 4th International …, 2017 | 1 | 2017 |
| AAUSAT5 - an evaluation of a student-run cubesat project RG Sæderup, JB Haurum 1st Symposium on Space Educational Activities, 36-44, 2015 | | 2015 |
| Multi-TaskClassificationofSewerPipeDefectsandPropertiesusingaCross-TaskGraphNeuralNetworkDecoder JB Haurum, M Madadi, S Escalera, TB Moeslund | | |
| Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder Supplementary Materials JB Haurum, M Madadi, S Escalera, TB Moeslund | | |
| Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark Supplementary Materials JB Haurum, TB Moeslund | | |
Thomas MoeslundProfessor, Aalborg UniversityVerified email at create.aau.dk
