Publications

Probabilistic Label Spreading: Efficient and Consistent Estimation of Soft Labels with Epistemic Uncertainty on Graphs

Klees , J., Riedlinger, T., Stehr, P., Böddecker, B., Kondermann, D., Rottmann, M. (2026)

arXiv

Can We Challenge Open-Vocabulary Object Detectors with Generated Content in Street Scenes?

Mütze, A., Ilyas, S., Dörpelkus, C, Rottmann, A. (2025)

WACV (2026)

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks

Vignesh , G., Urs, Z., Michael, A., Rottmann, M. (2025)

WACV 2026

LFA Applied to CNNs: Efficient Singular Value Decomposition of Convolutional Mappings by Local Fourier Analysis

Van Betteray, A., Kahl, K., Rottmann, M. (2025)

Frontiers in Artificial Intelligence and Applications, Volume 413 , ECAI 2025

FutrTrack: A Camera-LiDAR Fusion Transformer for 3D Multiple Object Tracking

Teye, M., Maoz, O., Rottmann, M. (2025)

VISAPP 2026

Transferring styles for reduced texture bias and improved robustness in semantic segmentation networks

Hamscher, B., Heinert, E., Mütze, A., Maag, K., Rottmann, M. (2025)

European Conference on Artificial Intelligence (ECAI) 2025

Learning to Detect Label Errors by Making Them

Penquitt, S., Riedlinger, T., Heller, T., Reischl, R., Rottmann, M. (2025)

arXiv

From Label Error Detection to Correction

Penquitt, S., Klees, J., Cakaj, R., Kondermann, D., Rottmann, M., Schmarje, L. (2025)

VISAPP 2026

PRIMU: Uncertainty Estimation for Novel Views in Gaussian Splatting from Primitive-Based Representations of Error and Coverage

Gottwald, T., Heinert, E., Stehr, P., Galappaththige, C., J., Rottmann, M. (2025)

arXiv

OoDIS: Anomaly Instance Segmentation Benchmark

Nekrasov, A., Zhou, R., Ackermann, M., Hermans, A., Leibe, B., Rottmann, M. (2024)

ICRA 2025

LiDAR MOT-DETR: A LiDAR-based Two-Stage Transformer for 3D Multiple Object Tracking

Teye, M., Maoz, O., Rottmann, M. (2025)

BMVC 2025

Shape Bias & Robustness via Cue Decomposition

Heinert, E., Gottwald, T., Mütze, A., Rottmann, M. (2025)

arXiv

TARS: Traffic-Aware Radar Scene Flow Estimation

Wu, J., Braun, M., Spata, D., Rottmann, M. (2025)

ICCV 2025

SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data

Wu, J., Meuter, M., Schoeler, M., Rottmann, M. (2024)

ECCV 2024

MGiaD: Multigrid in all dimensions - Efficiency and robustness by weight sharing and coarsening in resolution and channel dimensions

van Betteray , A., Rottmann, M., Kahl, K. (2023)

Workshop on Resource Efficient Deep Learning for Computer Vision, ICCV Workshop, 2023