Image-Based Out-of-Distribution-Detector Principles on Graph-Based Input Data in Human Action Recognition. - Jens Bayer; David Münch; Michael Arens (ICPR Workshops (1), 2020)

Image-based OoD-Detector Principles on Graph-based Input Data in Human Action Recognition. - Jens Bayer; David Münch; Michael Arens (CoRR, 2020)

A Comparison of Deep Saliency Map Generators on Multispectral Data in Object Detection. - Jens Bayer; David Münch; Michael Arens (CoRR, 2021)

Deep Saliency Map Generators for Multispectral Video Classification. - Jens Bayer; David Münch; Michael Arens (ICPR, 2022)

Companion Paper: Deep Saliency Map Generators for Multispectral Video Classification. - Jens Bayer; David Münch; Michael Arens (RRPR, 2022)

Eigenpatches - Adversarial Patches from Principal Components. - Jens Bayer; Stefan Becker; David Münch; Michael Arens (ISVC (2), 2023)

Utilizing Dataset Affinity Prediction in Object Detection to Assess Training Data. - Stefan Becker; Jens Bayer; Ronny Hug; Wolfgang Hübner 001; Michael Arens (ROBOVIS, 2024)

Network transferability of adversarial patches in real-time object detection. - Jens Bayer; Stefan Becker; David Münch; Michael Arens (CoRR, 2024)

Fusion or Confusion? A Look at Dataset Pooling for Infrared Object Detection. - Stefan Becker; Ann-Kristin Grosselfinger; Jens Bayer; David Münch; Wolfgang Hübner 001; Michael Arens (CVPR Workshops, 2025)

Traversing the subspace of adversarial patches. - Jens Bayer; Stefan Becker; David Münch; Michael Arens; Jürgen Beyerer (Mach. Vis. Appl., 2025)