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Books and Theses
- 2024
[b1]Korbinian Hagn:
Training and Validation of Visual Perception Functions for Autonomous Driving with Synthetic Data. University of Kiel, Germany, 2024
Conference and Workshop Papers
- 2024
- [c9]Syed Sha Qutub, Michael Paulitsch, Kay-Ulrich Scholl, Neslihan Köse Cihangir, Korbinian Hagn, Fabian Oboril, Gereon Hinz, Alois Knoll:
Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection. CVPR Workshops 2024: 3502-3511 - 2023
- [c8]Syed Sha Qutub, Neslihan Köse Cihangir, Rafael Rosales, Michael Paulitsch, Korbinian Hagn, Florian Geissler, Yang Peng, Gereon Hinz, Alois C. Knoll:
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture. BMVC 2023: 792-797 - [c7]Oliver Grau
, Korbinian Hagn:
VALERIE22 - A photorealistic, richly metadata annotated dataset of urban environments. CSCS 2023: 6:1-6:9 - 2022
- [c6]Korbinian Hagn, Oliver Grau:
Increasing pedestrian detection performance through weighting of detection impairing factors. CSCS 2022: 1:1-1:10 - [c5]Thomas Stauner, Frédérik Blank, Michael Fürst, Johannes Günther, Korbinian Hagn, Philipp Heidenreich, Markus Huber, Bastian Knerr, Thomas Schulik, Karl-Ferdinand Leiß:
SynPeDS: A Synthetic Dataset for Pedestrian Detection in Urban Traffic Scenes. CSCS 2022: 2:1-2:10 - [c4]Korbinian Hagn, Oliver Grau:
Validation of Pedestrian Detectors by Classification of Visual Detection Impairing Factors. ECCV Workshops (5) 2022: 476-491 - 2021
- [c3]Korbinian Hagn, Oliver Grau:
Improved Sensor Model for Realistic Synthetic Data Generation. CSCS 2021: 4:1-4:9 - 2020
- [c2]Syed Sha Qutub, Oliver Grau, Korbinian Hagn:
DNN Analysis through Synthetic Data Variation. CSCS 2020: 4:1-4:10 - 2017
- [c1]Christian Moldovan, Korbinian Hagn, Christian Sieber, Wolfgang Kellerer, Tobias Hoßfeld:
Keep Calm and Don't Switch: About the Relationship Between Switches and Quality in HAS. ITC PhD Workshop 2017: 1-6
Informal and Other Publications
- 2024
- [i5]Syed Sha Qutub, Michael Paulitsch, Korbinian Hagn, Neslihan Köse Cihangir, Kay-Ulrich Scholl, Fabian Oboril, Gereon Hinz, Alois Knoll:
Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection. CoRR abs/2406.03188 (2024) - [i4]Syed Sha Qutub, Michael Paulitsch, Karthik Pattabiraman, Korbinian Hagn, Fabian Oboril, Cornelius Bürkle, Kay-Ulrich Scholl, Gereon Hinz, Alois Knoll:
Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models. CoRR abs/2406.03229 (2024) - 2023
- [i3]Oliver Grau, Korbinian Hagn:
VALERIE22 - A photorealistic, richly metadata annotated dataset of urban environments. CoRR abs/2308.09632 (2023) - [i2]Syed Sha Qutub, Neslihan Kose, Rafael Rosales, Michael Paulitsch, Korbinian Hagn, Florian Geissler, Yang Peng, Gereon Hinz, Alois Knoll:
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture. CoRR abs/2309.08036 (2023) - 2018
- [i1]Christian Sieber, Korbinian Hagn, Christian Moldovan, Tobias Hoßfeld, Wolfgang Kellerer:
Towards Machine Learning-Based Optimal HAS. CoRR abs/1808.08065 (2018)
Coauthor Index
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