Jasmin Breitenstein

According to our database, Jasmin Breitenstein authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Foundation Models for Amodal Video Instance Segmentation in Automated Driving.

Jasmin Breitenstein, Franz Jünger, Andreas Bär, Tim Fingscheidt

CoRR, 2024

2023

What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving.

Jasmin Breitenstein, Florian Heidecker, Maria Lyssenko, Daniel Bogdoll, Maarten Bieshaar, J. Marius Zöllner, Bernhard Sick, Tim Fingscheidt

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

End-to-end Amodal Video Instance Segmentation.

Jasmin Breitenstein, Kangdong Jin, Aziz Hakiri, Marvin Klingner, Tim Fingscheidt

Proceedings of the 34th British Machine Vision Conference Workshop Proceedings, 2023

Deep Long Term Prediction for Semantic Segmentation in Autonomous Driving.

Bidya Dash, Shreyas Bilagi, Jasmin Breitenstein, Volker Schomerus, Thorsten Bagdonat, Tim Fingscheidt

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

2022

Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge Baseline.

Jasmin Breitenstein, Tim Fingscheidt

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Joint Prediction of Amodal and Visible Semantic Segmentation for Automated Driving.

Jasmin Breitenstein, Jonas Löhdefink, Tim Fingscheidt

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models.

Marvin Klingner, Konstantin Müller, Mona Mirzaie, Jasmin Breitenstein, Jan-Aike Termöhlen, Tim Fingscheidt

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches.

Jasmin Breitenstein, Jan-Aike Termöhlen, Daniel Lipinski, Tim Fingscheidt

CoRR, 2021

An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving.

Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Detection of Collective Anomalies in Images for Automated Driving Using an Earth Mover's Deviation (EMDEV) Measure.

Jasmin Breitenstein, Andreas Bär, Daniel Lipinski, Tim Fingscheidt

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

Description of Corner Cases in Automated Driving: Goals and Challenges.

Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Systematization of Corner Cases for Visual Perception in Automated Driving.

Jasmin Breitenstein, Jan-Aike Termöhlen, Daniel Lipinski, Tim Fingscheidt

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020