Frederik E. T. Schöller

RetinaNet Object Detector Based on Analog-to-Spiking Neural Network Conversion

Silvia Tolu, Roberto Galeazzi, Joaquín Royo Miquel, 2021, 2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI).

Early Recall, Late Precision: Multi-Robot Semantic Object Mapping under Operational Constraints in Perceptually-Degraded Environments

Frederik E. T. Schöller, A. Agha, K. Otsu, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Trajectory Prediction for Marine Vessels using Historical AIS Heatmaps and Long Short-Term Memory Networks

Frederik E. T. Schöller, T. Enevoldsen, P. N. Hansen, 2021, IFAC-PapersOnLine.

Vision-based Object Tracking in Marine Environments using Features from Neural Network Detections

Frederik E. T. Schöller, L. Nalpantidis, M. Blanke, 2020 .

Assessing Deep-learning Methods for Object Detection at Sea from LWIR Images

Mogens Blanke, Jonathan Dyssel Stets, Frederik Emil Thorsson Schöller, 2019, IFAC-PapersOnLine.

Comparing Spectral Bands for Object Detection at Sea using Convolutional Neural Networks

Mogens Blanke, Jonathan Dyssel Stets, Søren Hansen, 2019, Journal of Physics: Conference Series.

Lipschitz Constrained Neural Networks for Robust Object Detection at Sea

Evangelos Boukas, Lazaros Nalpantidis, Frederik Emil Thorsson Schöller, 2020, IOP Conference Series: Materials Science and Engineering.