Keep Calm and Don't Switch: About the Relationship Between Switches and Quality in HAS. - Christian Moldovan; Korbinian Hagn; Christian Sieber; Wolfgang Kellerer; Tobias Hoßfeld (ITC PhD Workshop, 2017)

Towards Machine Learning-Based Optimal HAS. - Christian Sieber; Korbinian Hagn; Christian Moldovan; Tobias Hoßfeld; Wolfgang Kellerer (CoRR, 2018)

DNN Analysis through Synthetic Data Variation. - Syed Sha Qutub; Oliver Grau; Korbinian Hagn (CSCS, 2020)

Improved Sensor Model for Realistic Synthetic Data Generation. - Korbinian Hagn; Oliver Grau (CSCS, 2021)

Increasing pedestrian detection performance through weighting of detection impairing factors. - Korbinian Hagn; Oliver Grau (CSCS, 2022)

SynPeDS: A Synthetic Dataset for Pedestrian Detection in Urban Traffic Scenes. - Thomas Stauner; Frédérik Blank; Michael Fürst; Johannes Günther 001; Korbinian Hagn; Philipp Heidenreich; Markus Huber; Bastian Knerr; Thomas Schulik; Karl-Ferdinand Leiß (CSCS, 2022)

Validation of Pedestrian Detectors by Classification of Visual Detection Impairing Factors. - Korbinian Hagn; Oliver Grau (ECCV Workshops (5), 2022)

BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture. - Syed Sha Qutub; Neslihan Köse Cihangir; Rafael Rosales; Michael Paulitsch; Korbinian Hagn; Florian Geissler; Yang Peng; Gereon Hinz; Alois C. Knoll (BMVC, 2023)

VALERIE22 - A photorealistic, richly metadata annotated dataset of urban environments. - Oliver Grau; Korbinian Hagn (CSCS, 2023)

Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models. - Syed Sha Qutub; Michael Paulitsch; Karthik Pattabiraman; Korbinian Hagn; Fabian Oboril; Cornelius Bürkle; Kay-Ulrich Scholl; Gereon Hinz; Alois Knoll (AISafety@IJCAI, 2024)

Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection. - Syed Sha Qutub; Michael Paulitsch; Kay-Ulrich Scholl; Neslihan Köse Cihangir; Korbinian Hagn; Fabian Oboril; Gereon Hinz; Alois Knoll (CVPR Workshops, 2024)

Training and Validation of Visual Perception Functions for Autonomous Driving with Synthetic Data. - Korbinian Hagn (2024)