Scholar
Kira Maag
Google Scholar ID: Fo2wSToAAAAJ
Heinrich-Heine-University Düsseldorf
Computer Vision
Deep Learning
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Citations & Impact
All-time
Citations
192
H-index
7
i10-index
7
Publications
20
Co-authors
19
list available
Publications
10 items
A Probabilistic Perspective on Wasserstein-Based Evidential Uncertainty for Out-of-Distribution Segmentation
2026
Cited
0
Combining Foundation Model Confidence and Monocular Depth for Training-Free Out-of-Distribution Segmentation
2026
Cited
0
Extended Field of View Analysis for VideoGAN-based Trajectory Generation
2026
Cited
0
Texture-Shape Bias Balancing for Robust Synthetic-to-Real Semantic Segmentation in Automotive NIR Imagery
2026
Cited
0
Spatio-Temporal Attention for Consistent Video Semantic Segmentation in Automated Driving
2026
Cited
0
Out-of-Distribution Segmentation via Wasserstein-Based Evidential Uncertainty
2025
Cited
0
Dance Style Classification using Laban-Inspired and Frequency-Domain Motion Features
2025
Cited
0
Transferring Styles for Reduced Texture Bias and Improved Robustness in Semantic Segmentation Networks
2025
Cited
0
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Co-authors
14 total
Hanno Gottschalk
Professor for Mathematical Modeling of Industrial Life Cycles, TU Berlin
Matthias Rottmann
Professor of Computer Science, Osnabrück University, Germany
Fabian Hüger
CARIAD SE
Robin Chan
Technische Universität Berlin
Asja Fischer
Professor for Machine Learning, Ruhr University Bochum
Serin Varghese
Senior Data Scientist, CARIAD SE
Tobias Riedlinger
Technical University of Berlin
Tim Fingscheidt
Professor, IEEE Fellow, ITG Fellow, Technische Universität Braunschweig, Germany