• CIRAL: a hybrid active learning framework for plankon taxa labeling 

      Haug, Martin Lund; Saad, Aya; Stahl, Annette (Journal article; Peer reviewed, 2021)
      With the complex structure of planktonic species and an immense amount of data captured from autonomous underwater vehicles (AUVs), a large burden is placed on the domain experts for plankton taxa labeling. At the same ...
    • Deep learning based keypoint rejection system for underwater visual ego-motion estimation 

      Leonardi, Marco; Fiori, Luca; Stahl, Annette (Peer reviewed; Journal article, 2020)
      Most visual odometry (VO) and visual simultaneous localization and mapping (VSLAM) systems rely heavily on robust keypoint detection and matching. With regards to images taken in the underwater environment, phenomena like ...