Korbinian Hagn

Orcid: 0000-0003-1547-7349

According to our database1, Korbinian Hagn authored at least 12 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
0
1
2
3
4
1
2
2
3
1
1
1
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Training and Validation of Visual Perception Functions for Autonomous Driving with Synthetic Data.
PhD thesis, 2024

Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models.
Proceedings of the IJCAI 2024 Workshop on Artificial Intelligence Safety (AISafety 2024) co-located with the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 2024

2023
VALERIE22 - A photorealistic, richly metadata annotated dataset of urban environments.
Proceedings of the 7th ACM Computer Science in Cars Symposium, 2023

BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Validation of Pedestrian Detectors by Classification of Visual Detection Impairing Factors.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

SynPeDS: A Synthetic Dataset for Pedestrian Detection in Urban Traffic Scenes.
Proceedings of the Computer Science in Cars Symposium, 2022

Increasing pedestrian detection performance through weighting of detection impairing factors.
Proceedings of the Computer Science in Cars Symposium, 2022

2021
Improved Sensor Model for Realistic Synthetic Data Generation.
Proceedings of the CSCS '21: Computer Science in Cars Symposium, 2021

2020
DNN Analysis through Synthetic Data Variation.
Proceedings of the CSCS '20: Computer Science in Cars Symposium, 2020

2018
Towards Machine Learning-Based Optimal HAS.
CoRR, 2018

2017
Keep Calm and Don't Switch: About the Relationship Between Switches and Quality in HAS.
Proceedings of the 29th International Teletraffic Congress PhD Workshop, 2017


  Loading...