Text and character recognition on metal-sheets. - Jan Kronenberger; Darius Malysiak; Uwe Handmann (ICIA, 2017)

Do Capsule Networks Solve the Problem of Rotation Invariance for Traffic Sign Classification? - Jan Kronenberger; Anselm Haselhoff (ICANN (3), 2018)

Multivariate Confidence Calibration for Object Detection. - Fabian Küppers; Jan Kronenberger; Amirhossein Shantia; Anselm Haselhoff (CVPR Workshops, 2020)

Dependency Decomposition and a Reject Option for Explainable Models. - Jan Kronenberger; Anselm Haselhoff (CoRR, 2020)

Towards Black-Box Explainability With Gaussian Discriminant Knowledge Distillation. - Anselm Haselhoff; Jan Kronenberger; Fabian Küppers; Jonas Schneider 004 (CVPR Workshops, 2021)

Bayesian Confidence Calibration for Epistemic Uncertainty Modelling. - Fabian Küppers; Jan Kronenberger; Jonas Schneider 004; Anselm Haselhoff (IV, 2021)

Towards Transparent Behavior of Automated Vehicles: Design and Evaluation of HUD Concepts to Support System Predictability Through Motion Intent Communication. - Henrik Detjen; Maurizio Salini; Jan Kronenberger; Stefan Geisler; Stefan Schneegass (MobileHCI, 2021)

Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. - Sebastian Houben; Stephanie Abrecht; Maram Akila; Andreas Bär; Felix Brockherde; Patrick Feifel; Tim Fingscheidt; Sujan Sai Gannamaneni; Seyed Eghbal Ghobadi; Ahmed Hammam; Anselm Haselhoff; Felix Hauser; et al. (CoRR, 2021)

Confidence Calibration for Object Detection and Segmentation. - Fabian Küppers; Anselm Haselhoff; Jan Kronenberger; Jonas Schneider 004 (CoRR, 2022)