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2021
1 Borgersen, Jonas; Saad, Aya; Stahl, Annette.
MOG: a background extraction approach for data augmentation of time-series images in deep learning segmentation. 14th International Conference on Machine Vision - ICMV 2021; 2021-11-08 - 2021-11-12
NTNU Untitled
 
2 Borgersen, Jonas; Saad, Aya; Stahl, Annette.
MOG: a background extraction approach for data augmentation of time-series images in deep learning segmentation. Proceedings of SPIE, the International Society for Optical Engineering 2021
NTNU Untitled
 
3 Borgersen, Jonas.
Attention Segmentation Approaches for Plankton Images Captured in-Situ. Trondheim: Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk 2021 83 s.
NTNU Untitled
 
4 Caharija, Walter; Dalseg, Esten Solem; Haugaløkken, Bent Oddvar Arnesen; Stahl, Annette.
Echosounder tracking with monocular camera for biomass estimation. Oceans 2021; 2021-09-20 - 2021-09-23
OCEAN NTNU Untitled
 
5 Haug, Martin; Saad, Aya; Stahl, Annette.
A combined informative and representative active learning approach for plankton taxa labeling. 14th International Conference on Machine Vision - ICMV 2021; 2021-11-08 - 2021-11-12
NTNU Untitled
 
6 Haug, Martin; Saad, Aya; Stahl, Annette.
A combined informative and representative active learning approach for plankton taxa labeling. Proceedings of SPIE, the International Society for Optical Engineering 2021 ;Volum 11878. s. -
NTNU Untitled
 
7 Haug, Martin; Saad, Aya; Stahl, Annette.
CIRAL: a hybrid active learning framework for plankon taxa labeling. IFAC-PapersOnLine 2021
NTNU Untitled
 
8 Haug, Martin; Saad, Aya; Stahl, Annette.
CIRAL: a hybrid active learning framework for plankon taxa labeling. 13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles IFAC CAMS; 2021-09-22 - 2021-09-24
NTNU Untitled
 
9 Haug, Martin.
Appling active learning techniques in machine learning to minimize labeling effort. : Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk 2021 122 s.
NTNU Untitled
 
10 Haugo, Simen; Stahl, Annette.
Fitting implicit surfaces with progressive free space constraints. Proceedings of SPIE, the International Society for Optical Engineering 2021
NTNU Untitled
 
11 Haugo, Simen; Stahl, Annette.
Fitting implicit surfaces with progressive free space constraints. 14th International Conference on Machine Vision - ICMV 2021; 2021-11-08 - 2021-11-12
NTNU Untitled
 
12 Helgesen, Øystein Kaarstad; Brekke, Edmund Førland; Stahl, Annette; Engelhardtsen, Øystein.
Low Altitude Georeferencing for Imaging Sensors in Maritime Tracking. IFAC-PapersOnLine 2021
NTNU Untitled
 
13 Leonardi, Marco; Fiori, Luca; Stahl, Annette.
Deep learning based keypoint rejection system for underwater visual ego-motion estimation. IFAC-PapersOnLine 2021
NTNU Untitled
 
14 Madshaven, Arild; Schellewald, Christian; Stahl, Annette.
Hole Detection in Aquaculture Net Cages from Video Footage. Proceedings of SPIE, the International Society for Optical Engineering 2021
NTNU OCEAN Untitled
 
15 Madshaven, Arild; Schellewald, Christian; Stahl, Annette.
Hole Detection in Aquaculture Net Cages from Video Footage. 14th International Conference on Machine Vision - ICMV 2021; 2021-11-08 - 2021-11-12
NTNU OCEAN Untitled
 
16 Saad, Aya; Bergum, Sondre Aleksander; Stahl, Annette.
An instance segmentation framework for in-situ plankton taxa assessment. Proceedings of SPIE, the International Society for Optical Engineering 2021 ;Volum 11605. s. -
NTNU Untitled
 
17 Salvesen, Eivind; Saad, Aya; Stahl, Annette.
Robust Deep Unsupervised Learning Framework to Discover Unseen Plankton Species. 14th International Conference on Machine Vision; 2021-11-08 - 2021-11-12
NTNU Untitled
 
18 Salvesen, Eivind; Saad, Aya; Stahl, Annette.
Robust Deep Unsupervised Learning Framework to Discover Unseen Plankton Species. Proceedings of SPIE, the International Society for Optical Engineering 2021
NTNU Untitled
 
19 Salvesen, Eivind.
Unsupervised methods for in-situ classification of plankton taxa. : Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk, NTNU 2021 140 s.
NTNU Untitled
 
20 Schellewald, Christian; Stahl, Annette; Kelasidi, Eleni.
Vision-Based Net-Pose Estimation for Autonomous Operations in Aquacultural Fish Cages. 13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles IFAC CAMS; 2021-09-22 - 2021-09-24
NTNU OCEAN Untitled
 
21 Schellewald, Christian; Stahl, Annette; Kelasidi, Eleni.
Vision-Based Net-Pose Estimation for Autonomous Operations in Aquacultural Fish Cages. IFAC-PapersOnLine 2021
NTNU OCEAN Untitled
 
22 Teigen, Andreas Langeland; Saad, Aya; Stahl, Annette; Mester, Rudolf.
Few-Shot Open World Learner. 13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles IFAC CAMS; 2021-09-22 - 2021-09-24
NTNU Untitled
 
23 Teigen, Andreas Langeland; Saad, Aya; Stahl, Annette; Mester, Rudolf.
Few-Shot Open World Learner. IFAC-PapersOnLine 2021
NTNU Untitled
 
24 Volden, Øystein; Stahl, Annette; Fossen, Thor I..
Vision-based positioning system for auto-docking of unmanned surface vehicles (USVs). International Journal of Intelligent Robotics and Applications (IJIRA) 2021
NTNU Untitled
 
25 Zwilgmeyer, Peder Georg Olofsson; Yip, Mauhing; Teigen, Andreas Langeland; Mester, Rudolf; Stahl, Annette.
The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth. ICCV Workshop Computer Vision in the Ocean; 2021-10-17 - 2021-10-17
NTNU Untitled
 
26 Zwilgmeyer, Peder Georg Olofsson; Yip, Mauhing; Teigen, Andreas Langeland; Mester, Rudolf; Stahl, Annette.
The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth. IEEE International Conference on Computer Vision (ICCV) 2021
NTNU Untitled
 
2020
27 Ansari, Sadaf; Saad, Aya; Stahl, Annette; Rajachandran, Madhan.
Vision-based Real-time Zooplankton Detection and Classification using Faster R-CNN. Ocean Sciences Meeting 2020; 2020-02-16 - 2020-02-21
NTNU Untitled
 
28 Bergum, Sondre; Saad, Aya; Stahl, Annette.
Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN. OCEANS 2020
NTNU Untitled
 
29 Bergum, Sondre; Saad, Aya; Stahl, Annette.
Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN. Global OCEANS 2020; 2020-10-05 - 2020-10-14
NTNU Untitled
 
30 Bergum, Sondre; Saad, Aya; Stahl, Annette.
Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN (Extended abstract). OCEANS 2020
NTNU Untitled
 
31 Bergum, Sondre.
Object detection and instance segmentation of planktonic organisms using Mask R-CNN for real-time in-situ image processing. Trondheim: Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk 2020 97 s.
NTNU Untitled
 
32 Fondevik, Simen Keiland; Stahl, Annette; Transeth, Aksel Andreas; Knudsen, Ole Øystein.
Image Segmentation of Corrosion Damages in Industrial Inspections. 32th International Conference on Tools with Artificial Intelligence; 2020-11-09 - 2020-11-11
NTNU SINTEF Untitled
 
33 Fondevik, Simen Keiland; Stahl, Annette; Transeth, Aksel Andreas; Knudsen, Ole Øystein.
Image Segmentation of Corrosion Damages in Industrial Inspections. Proceedings - International Conference on Tools with Artificial Intelligence (ICTAI) 2020 s. 787-792
NTNU SINTEF Untitled
 
34 Haavardsholm, Trym Vegard; Skauli, Torbjørn; Stahl, Annette.
Multimodal Multispectral Imaging System for Small UAVs. IEEE Robotics and Automation Letters 2020 ;Volum 5.(2) s. 1039-1046
FFI NTNU Untitled
 
35 Haugo, Simen; Stahl, Annette.
Iterative Closest Point with Minimal Free Space Constraints. I: Advances in Visual Computing. Springer Nature 2020 ISBN 978-3-030-64559-5. s. 82-95
NTNU Untitled
 
36 Haugo, Simen; Stahl, Annette.
Minimal Free Space Constraints for Implicit Distance Bounds. I: Advances in Visual Computing. Springer Nature 2020 ISBN 978-3-030-64559-5. s. 96-109
NTNU Untitled
 
37 Helgesen, Øystein Kaarstad; Brekke, Edmund Førland; Stahl, Annette; Engelhardtsen, Øystein.
Low Altitude Georeferencing for Imaging Sensors in Maritime Tracking. 1st Virtual IFAC World Congress; 2020-07-11 - 2020-07-17
NTNU Untitled
 
38 Leonardi, Marco; Fiori, Luca; Stahl, Annette.
Deep learning based keypoint rejection system for underwater visual ego-motion estimation. IFAC World Congress 2020; 2020-07-13 - 2020-07-17
NTNU Untitled
 
39 Oda, Kiese; Saad, Aya; Stahl, Annette.
Towards a Balanced-Labeled-Dataset of Planktons for a Better In-Situ Taxa Identification. Ocean Sciences Meeting 2020; 2020-02-16 - 2020-02-21
NTNU Untitled
 
40 Oda, Kiese.
Machine learning methodologies that solve the class-imbalance problem for datasets of planktonic organisms. Trondheim: Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk 2020 89 s.
NTNU Untitled
 
41 Saad, Aya; Bergum, Sondre Aleksander; Stahl, Annette.
An instance segmentation framework for in-situ plankton taxa assessment. The 13th International Conference on Machine Vision; 2020-11-02 - 2020-11-06
NTNU Untitled
 
42 Saad, Aya; Davies, Emlyn John; Stahl, Annette.
Recent Advances in Visual Sensing and Machine Learning Techniques for in-situ Plankton-taxa Classification. Ocean Sciences Meeting 2020; 2020-02-16 - 2020-02-21
OCEAN NTNU Untitled
 
43 Saad, Aya; Stahl, Annette; Våge, Andreas; Davies, Emlyn John; Nordam, Tor; Aberle-Malzahn, Nicole; Ludvigsen, Martin; Johnsen, Geir; Sousa, João; Rajan, Kanna.
Advancing Ocean Observation with an AI-driven Mobile Robotic Explorer. Oceanography 2020 ;Volum 33.(3) s. 50-59
OCEAN NTNU Untitled
 
44 Salvesen, Eivind; Saad, Aya; Stahl, Annette.
Robust methods of unsupervised clustering to discover new planktonic species in-situ. OCEANS 2020
NTNU Untitled
 
45 Salvesen, Eivind; Saad, Aya; Stahl, Annette.
Robust methods of unsupervised clustering to discover new planktonic species in-situ. Global OCEANS 2020; 2020-10-05 - 2020-10-14
NTNU Untitled
 
46 Salvesen, Eivind; Saad, Aya; Stahl, Annette.
Robust methods of unsupervised clustering to discover new planktonic species in-situ - extended abstract. OCEANS 2020
NTNU Untitled
 
47 Salvesen, Eivind; Saad, Aya; Stahl, Annette.
Robust methods of unsupervised clustering to discover new planktonic species in-situ - poster. Global OCEANS 2020; 2020-10-05 - 2020-10-14
NTNU Untitled
 
48 Skjellaug, Even; Brekke, Edmund Førland; Stahl, Annette.
Feature-Based Laser Odometry for Autonomous Surface Vehicles utilizing the Point Cloud Library. I: 2020 IEEE 23rd International Conference on Information Fusion (FUSION). IEEE 2020 ISBN 978-0-578-64709-8. s. -
NTNU Untitled
 
49 Stahl, Annette.
Plenary Session: Vision for Robotics. IEEE International Workshop on Advanced Motion Control (AMC2020); 2020-09-14 - 2020-09-16
NTNU Untitled
 
50 Teigen, Andreas; Saad, Aya; Stahl, Annette.
Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations. OCEANS 2020
NTNU Untitled
 
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