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2020 – today
- 2024
[i7]Florian Heidecker, Ahmad El-Khateeb, Maarten Bieshaar, Bernhard Sick:
Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation. CoRR abs/2404.11266 (2024)- 2023
- [c9]Jasmin Breitenstein, Florian Heidecker, Maria Lyssenko, Daniel Bogdoll, Maarten Bieshaar, J. Marius Zöllner, Bernhard Sick, Tim Fingscheidt:
What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving. ICCV (Workshops) 2023: 3993-4002 - [c8]Florian Heidecker, Tobias Susetzky, Erich Fuchs, Bernhard Sick:
Context Information for Corner Case Detection in Highly Automated Driving. ITSC 2023: 1522-1529 - [i6]Florian Heidecker, Ahmad El-Khateeb, Bernhard Sick:
Sampling-based Uncertainty Estimation for an Instance Segmentation Network. CoRR abs/2305.14977 (2023) - 2022
- [c7]Kevin Rösch, Florian Heidecker, Julian Truetsch
, Kamil Kowol, Clemens Schicktanz, Maarten Bieshaar, Bernhard Sick, Christoph Stiller:
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving. SSCI 2022: 86-93 - [i5]Kevin Rösch, Florian Heidecker, Julian Truetsch, Kamil Kowol, Clemens Schicktanz, Maarten Bieshaar, Bernhard Sick, Christoph Stiller:
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving. CoRR abs/2210.08885 (2022) - 2021
- [c6]Felix Möller, Diego Botache, Denis Huseljic, Florian Heidecker, Maarten Bieshaar, Bernhard Sick:
Out-of-Distribution Detection and Generation Using Soft Brownian Offset Sampling and Autoencoders. CVPR Workshops 2021: 46-55 - [c5]Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner:
Description of Corner Cases in Automated Driving: Goals and Challenges. ICCVW 2021: 1023-1028 - [c4]Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick:
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving. IV 2021: 644-651 - [i4]Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick:
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving. CoRR abs/2103.03678 (2021) - [i3]Felix Möller, Diego Botache, Denis Huseljic, Florian Heidecker, Maarten Bieshaar, Bernhard Sick:
Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders. CoRR abs/2105.02965 (2021) - [i2]Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner:
Description of Corner Cases in Automated Driving: Goals and Challenges. CoRR abs/2109.09607 (2021) - 2020
- [c3]Florian Heidecker, Abdul Hannan, Maarten Bieshaar, Bernhard Sick:
Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks. ICPR Workshops (4) 2020: 361-374 - [c2]Jan Schneegans, Maarten Bieshaar, Florian Heidecker, Bernhard Sick:
Intelligent and Interactive Video Annotation for Instance Segmentation Using Siamese Neural Networks. ICPR Workshops (4) 2020: 375-389 - [c1]Florian Heidecker, Christian Gruhl, Bernhard Sick:
Novelty Based Driver Identification on RR Intervals from ECG Data. ICPR Workshops (4) 2020: 407-421 - [i1]Kristina Scharei, Florian Heidecker, Maarten Bieshaar:
Knowledge Representations in Technical Systems - A Taxonomy. CoRR abs/2001.04835 (2020)
Coauthor Index
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