Annette Stahl
Annette Stahl
Professor, Dept. Engineering Cybernetics, Norwegian University of Science and Technology
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Cited by
Cited by
Precision fish farming: A new framework to improve production in aquaculture
M Føre, K Frank, T Norton, E Svendsen, JA Alfredsen, T Dempster, ...
biosystems engineering 173, 176-193, 2018
An optical flow-based method to predict infantile cerebral palsy
A Stahl, C Schellewald, Ø Stavdahl, OM Aamo, L Adde, H Kirkerod
IEEE Transactions on Neural Systems and Rehabilitation Engineering 20 (4 …, 2012
Variational estimation of experimental fluid flows with physics-based spatio-temporal regularization
P Ruhnau, A Stahl, C Schnörr
Measurement Science and Technology 18 (3), 755, 2007
On-line variational estimation of dynamical fluid flows with physics-based spatio-temporal regularization
P Ruhnau, A Stahl, C Schnörr
Joint Pattern Recognition Symposium, 444-454, 2006
Heterogeneous multi-sensor tracking for an autonomous surface vehicle in a littoral environment
ØK Helgesen, K Vasstein, EF Brekke, A Stahl
Ocean Engineering 252, 111168, 2022
Vision-based positioning system for auto-docking of unmanned surface vehicles (USVs)
Ø Volden, A Stahl, TI Fossen
International Journal of Intelligent Robotics and Applications 6 (1), 86-103, 2022
Teaching a robot to grasp real fish by imitation learning from a human supervisor in virtual reality
JS Dyrstad, ER Øye, A Stahl, JR Mathiassen
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
The varos synthetic underwater data set: Towards realistic multi-sensor underwater data with ground truth
PGO Zwilgmeyer, M Yip, AL Teigen, R Mester, A Stahl
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
Real-time corrections for a low-cost hyperspectral instrument
MB Henriksen, JL Garrett, EF Prentice, A Stahl, TA Johansen, F Sigernes
2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2019
Post-processing and visualization techniques for isogeometric analysis results
A Stahl, T Kvamsdal, C Schellewald
Computer Methods in Applied Mechanics and Engineering 316, 880-943, 2017
Visual pose estimation for autonomous inspection of fish pens
A Duda, J Schwendner, A Stahl, P Rundtop
OCEANS 2015-Genova, 1-6, 2015
Vision-based pose estimation for autonomous operations in aquacultural fish farms
C Schellewald, A Stahl, E Kelasidi
IFAC-PapersOnLine 54 (16), 438-443, 2021
Image segmentation of corrosion damages in industrial inspections
SK Fondevik, A Stahl, AA Transeth, OØ Knudsen
2020 IEEE 32nd International Conference on Tools with Artificial …, 2020
Advancing ocean observation with an ai-driven mobile robotic explorer
A Saad, A Stahl, A Våge, E Davies, T Nordam, N Aberle, M Ludvigsen, ...
Oceanography 33 (3), 50-59, 2020
Classification of corrosion and coating damages on bridge constructions from images using convolutional neural networks
E Holm, AA Transeth, OØ Knudsen, A Stahl
Twelfth International Conference on Machine Vision (ICMV 2019) 11433, 549-556, 2020
Splash detection in surveillance videos of offshore fish production plants
V Jovanović, V Risojević, Z Babić, E Svendsen, A Stahl
2016 international conference on systems, signals and image processing …, 2016
Determining spatial feed distribution in sea cage aquaculture using an aerial camera platform
AM Lien, C Schellewald, A Stahl, K Frank, KR Skøien, JI Tjølsen
Aquacultural engineering 87, 102018, 2019
Recent advances in visual sensing and machine learning techniques for in-situ plankton-taxa classification
A Saad, E Davies, A Stahl
Authorea Preprints, 2022
Hole detection in aquaculture net cages from video footage
A Madshaven, C Schellewald, A Stahl
Fourteenth International Conference on Machine Vision (ICMV 2021) 12084, 258-267, 2022
Robust deep unsupervised learning framework to discover unseen plankton species
E Salvesen, A Saad, A Stahl
Fourteenth International Conference on Machine Vision (ICMV 2021) 12084, 241-250, 2022
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