Detection of marine animals in a new underwater dataset with varying visibility M Pedersen, J Bruslund Haurum, R Gade, TB Moeslund Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 109 | 2019 |
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 | 44 | 2020 |
Camera calibration for underwater 3D reconstruction based on ray tracing using Snell's law M Pedersen, S Hein Bengtson, R Gade, N Madsen, TB Moeslund Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 39 | 2018 |
Water level estimation in sewer pipes using deep convolutional neural networks JB Haurum, CH Bahnsen, M Pedersen, TB Moeslund Water 12 (12), 3412, 2020 | 20 | 2020 |
Re-identification of zebrafish using metric learning J Bruslund Haurum, A Karpova, M Pedersen, S Hein Bengtson, ... Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 18 | 2020 |
Reading circular analogue gauges using digital image processing JS Lauridsen, JAG Graasmé, M Pedersen, DG Jensen, SH Andersen, ... 14th international joint conference on computer vision, imaging and computer …, 2019 | 15 | 2019 |
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 | 6 | 2022 |
No machine learning without data: Critical factors to consider when collecting video data in marine environments M Pedersen, N Madsen, TB Moeslund The Journal of Ocean Technology 16 (3), 21-30, 2021 | 5 | 2021 |
Fishing with c-tucs (cheap tiny underwater cameras) in a sea of possibilities N Madsen, M Pedersen, KT Jensen, PR Møller, RE Andersen, ... The Journal of Ocean Technology 16 (2), 19-30, 2021 | 4 | 2021 |
Finding Nemo’s Giant Cousin: Keypoint Matching for Robust Re-Identification of Giant Sunfish M Pedersen, M Nyegaard, TB Moeslund Journal of Marine Science and Engineering 11 (5), 889, 2023 | 3 | 2023 |
Brackishmot: The brackish multi-object tracking dataset M Pedersen, D Lehotský, I Nikolov, TB Moeslund Scandinavian Conference on Image Analysis, 17-33, 2023 | 3 | 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 |
Reaching behind specular highlights by registration of two images of broiler viscera A Jørgensen, M Pedersen, R Gade, J Fagertun, TB Moeslund Computer Vision–ACCV 2018 Workshops: 14th Asian Conference on Computer …, 2019 | 1 | 2019 |
Stitching grid-wise atomic force microscope images M Vestergaard, S Bengtson, M Pedersen, C Rankl, TB Moeslund International Conference on Computer Vision Theory and Applications 4, 110-117, 2016 | 1 | 2016 |
Undersøgelser af havbundsforhold og bundslæbende redskabers påvirkning i Jammerbugt N Madsen, A Jørgensen, AF Irlind, KA Sønnichsen, K Pless-Schmidt, ... | | 2024 |
Underwater drone and computer vision–object detection in Jammerbugt, Denmark M Pedersen Proceedings from the 1st conference: Drones as a Tool for Monitoring Nature, 2024 | | 2024 |
Computer Vision og Kunstig Intelligens under Overfladen i Jammerbugt M Pedersen, AS Johansen, JE Schmidt, AF Irlind, A Jørgensen, N Madsen, ... Det 22. Danske Havforskermøde, 2024 | | 2024 |
Exploring New Waters: Advancing Fish Monitoring with Computer Vision M Pedersen Aalborg Universitetsforlag, 2023 | | 2023 |
Automatic classification and measuring of cod and other sea creatures using machine learning and image processing KF Jensen, BOM Hansen, AF Gravgaard, N Madsen, M Pedersen, ... Havforskermødet-21 udgave-abstracts, 2022 | | 2022 |
Use of underwater camera technology in fisheries and marine monitoring: Dansk havforskermøde 2019 N Madsen, KT Jensen, PR Møller, M Pedersen, RE Andersen, ... Det 20. Danske Havforskermøde, 2019 | | 2019 |