2023
Elich, C., Kirchdorfer, L., Köhler, J. M., Schott, L.
Challenging Common Assumptions in Multi-task Learning
abs/2311.04698, CoRR/arxiv, 2023 (techreport)
2022
Li, H., Stueckler, J.
Observability Analysis of Visual-Inertial Odometry with Online Calibration of Velocity-Control Based Kinematic Motion Models
abs/2204.06651, CoRR/arxiv, 2022 (techreport)
2020
Usenko, V., Stumberg, L. V., Stückler, J., Cremers, D.
TUM Flyers: Vision-Based MAV Navigation for Systematic Inspection of Structures
In Bringing Innovative Robotic Technologies from Research Labs to Industrial End-users: The Experience of the European Robotics Challenges, 136, pages: 189-209, Springer International Publishing, 2020 (inbook)
2018
Ma, L., Stueckler, J., Wu, T., Cremers, D.
Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform
arxiv, 2018, arXiv:1808.01834 (techreport)