Annette Stahl 个人学术档案

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Edmund BrekkeNorwegian University of Science and Technology在 itk.ntnu.no 的电子邮件经过验证
Rudolf MesterNTNU Trondheim, Norway在 ntnu.no 的电子邮件经过验证
Jo Arve AlfredsenNTNU在 ntnu.no 的电子邮件经过验证
Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg University在 math.uni-heidelberg.de 的电子邮件经过验证
Ole Morten AamoProfessor of Automatic Control, NTNU, Norway在 ntnu.no 的电子邮件经过验证
Martin FøreAssociate Professor at NTNU Department of Engineering Cybernetics在 ntnu.no 的电子邮件经过验证
Øystein Kaarstad HelgesenNorwegian University of Science and Technology在 ntnu.no 的电子邮件经过验证
Tor Arne JohansenProfessor, Dept. Engineering Cybernetics, Norwegian University of Science and Technology, Norway在 ntnu.no 的电子邮件经过验证
Joseph L GarrettNorwegian University of Science and Technology在 ntnu.no 的电子邮件经过验证
Martin LudvigsenProfessor Department of Marine Technology NTNU在 ntnu.no 的电子邮件经过验证
Geir JohnsenProfessor in Marine Biology at NTNU & UNIS在 ntnu.no 的电子邮件经过验证
Øyvind StavdahlProfessor, Department of Engineering Cybernetics, Norwegian University of Science and在 ntnu.no 的电子邮件经过验证
Aksel Andreas TransethSenior scientist, PhD, SINTEF Digital, Mathematics and cybernetics在 sintef.no 的电子邮件经过验证
Ole Øystein KnudsenSINTEF, NTNU在 sintef.no 的电子邮件经过验证
Thor I. FossenProfessor, Dept. of Eng. Cybernetics, Norwegian University of Science and Technology在 ntnu.no 的电子邮件经过验证
John Reidar MathiassenSenior Research Scientist, SINTEF Ocean AS在 sintef.no 的电子邮件经过验证
Nicole Aberle-MalzahnInstitute of Marine Ecosystem and Fishery Science (IMF), Hamburg University, Germany在 uni-hamburg.de 的电子邮件经过验证
J. Borges de SousaProfessor, LSTS, DEEC, FEUP在 fe.up.pt 的电子邮件经过验证
Trond KvamsdalNorwegian University of Science and Technology (NTNU), Norway. SINTEF Digital在 ntnu.no 的电子邮件经过验证
Morten BreivikAssociate Professor at the Department of Engineering Cybernetics, NTNU在 ieee.org 的电子邮件经过验证

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Annette Stahl

Professor, Dept. Engineering Cybernetics, Norwegian University of Science and Technology

在 ntnu.no 的电子邮件经过验证

Robotic Vision Computer Vision Machine Learning Autonomous Platforms Robotics


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	425	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	119	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	83	2007
Precision fish farming: A new framework to improve production in aquaculture K Frank, T Norton, E Svendsen, JA Alfredsen, T Dempster, H Eguiraun, ... Biosystems engineering, 2017	60	2017
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	37	2022
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	36	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	34	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	30	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	25	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	24	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	23	2020
Vision-based pose estimation for autonomous operations in aquacultural fish farms C Schellewald, A Stahl, E Kelasidi IFAC-PapersOnLine 54 (16), 438-443, 2021	22	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	20	2019
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	19	2020
Visual pose estimation for autonomous inspection of fish pens A Duda, J Schwendner, A Stahl, P Rundtop OCEANS 2015-Genova, 1-6, 2015	19	2015
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	18	2017
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	17	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	15	2019
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	10	2022
Recent advances in visual sensing and machine learning techniques for in-situ plankton-taxa classification A Saad, E Davies, A Stahl Authorea Preprints, 2022	9	2022

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