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Korbinian Hagn
Korbinian Hagn
Intel Labs
Verified email at tum.de
Title
Cited by
Cited by
Year
Keep calm and don’t switch: about the relationship between switches and quality in HAS
C Moldovan, K Hagn, C Sieber, W Kellerer, T Hoßfeld
2017 29th International Teletraffic Congress (ITC 29) 3, 1-6, 2017
122017
Improved sensor model for realistic synthetic data generation
K Hagn, O Grau
Proceedings of the 5th ACM Computer Science in Cars Symposium, 1-9, 2021
112021
DNN analysis through synthetic data variation
Q Syed Sha, O Grau, K Hagn
Proceedings of the 4th ACM Computer Science in Cars Symposium, 1-10, 2020
112020
SynPeDS: A synthetic dataset for pedestrian detection in urban traffic scenes
T Stauner, F Blank, M Fürst, J Günther, K Hagn, P Heidenreich, M Huber, ...
Proceedings of the 6th ACM Computer Science in Cars Symposium, 1-10, 2022
72022
Optimized data synthesis for DNN training and validation by sensor artifact simulation
K Hagn, O Grau
Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty …, 2022
62022
A variational deep synthesis approach for perception validation
O Grau, K Hagn, Q Syed Sha
Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty …, 2022
62022
Towards machine learning-based optimal has
C Sieber, K Hagn, C Moldovan, T Hoßfeld, W Kellerer
arXiv preprint arXiv:1808.08065, 2018
62018
Validation of pedestrian detectors by classification of visual detection impairing factors
K Hagn, O Grau
European Conference on Computer Vision, 476-491, 2022
32022
Increasing pedestrian detection performance through weighting of detection impairing factors
K Hagn, O Grau
Proceedings of the 6th ACM Computer Science in Cars Symposium, 1-10, 2022
22022
Training and Validation of Visual Perception Functions for Autonomous Driving with Synthetic Data
K Hagn
2024
VALERIE22--A photorealistic, richly metadata annotated dataset of urban environments
O Grau, K Hagn
7th ACM Computer Science in Cars Symposium December 5, 2023 Darmstadt …, 2023
2023
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture
SS Qutub, N Kose, R Rosales, M Paulitsch, K Hagn, F Geissler, Y Peng, ...
BMVC, 2023
2023
HASBRAIN: A Machine Learning-based Adaptation Algorithm for HTTP Adaptive Streaming
K Hagn
2017
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Articles 1–13