Malte Pedersen
Malte Pedersen
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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
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
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
Water level estimation in sewer pipes using deep convolutional neural networks
JB Haurum, CH Bahnsen, M Pedersen, TB Moeslund
Water 12 (12), 3412, 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
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
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
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
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
Brackishmot: The brackish multi-object tracking dataset
M Pedersen, D Lehotský, I Nikolov, TB Moeslund
Scandinavian Conference on Image Analysis, 17-33, 2023
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
MOTCOM: The multi-object tracking dataset complexity metric
M Pedersen, JB Haurum, P Dendorfer, TB Moeslund
European Conference on Computer Vision, 20-37, 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
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
Undersøgelser af havbundsforhold og bundslæbende redskabers påvirkning i Jammerbugt
N Madsen, A Jørgensen, AF Irlind, KA Sønnichsen, K Pless-Schmidt, ...
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
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
Exploring New Waters: Advancing Fish Monitoring with Computer Vision
M Pedersen
Aalborg Universitetsforlag, 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
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
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