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 | 13 | 2021 |
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 | 12 | 2017 |
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 | 11 | 2020 |
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 | 7 | 2022 |
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 | 6 | 2022 |
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 | 6 | 2022 |
Towards machine learning-based optimal has C Sieber, K Hagn, C Moldovan, T Hoßfeld, W Kellerer arXiv preprint arXiv:1808.08065, 2018 | 6 | 2018 |
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 | 3 | 2022 |
Validation of pedestrian detectors by classification of visual detection impairing factors K Hagn, O Grau European Conference on Computer Vision, 476-491, 2022 | 3 | 2022 |
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 |