StreamPipes: solving the challenge with semantic stream processing pipelines. - Dominik Riemer; Florian Kaulfersch; Robin Hutmacher; Ljiljana Stojanovic (DEBS, 2015)

Scene recognition for mobile robots by relational object search using Next-Best-View estimates from hierarchical Implicit Shape Models. - Pascal Meissner; Ralf Schleicher; Robin Hutmacher; Sven R. Schmidt-Rohr; Rüdiger Dillmann (IROS, 2016)

Calibrating Uncertainty Models for Steering Angle Estimation. - Christian Hubschneider; Robin Hutmacher; J. Marius Zöllner (ITSC, 2019)

Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers. - Christoph Kamann; Burkhard Güssefeld; Robin Hutmacher; Jan Hendrik Metzen; Carsten Rother (CoRR, 2020)

Does enhanced shape bias improve neural network robustness to common corruptions? - Chaithanya Kumar Mummadi; Ranjitha Subramaniam; Robin Hutmacher; Julien Vitay; Volker Fischer 003; Jan Hendrik Metzen (ICLR, 2021)

Meta Adversarial Training. - Jan Hendrik Metzen; Nicole Finnie; Robin Hutmacher (CoRR, 2021)

Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation. - Chaithanya Kumar Mummadi; Robin Hutmacher; Kilian Rambach; Evgeny Levinkov; Thomas Brox; Jan Hendrik Metzen (CoRR, 2021)

Identification of Systematic Errors of Image Classifiers on Rare Subgroups. - Jan Hendrik Metzen; Robin Hutmacher; N. Grace Hua; Valentyn Boreiko; Dan Zhang (ICCV, 2023)

Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation. - Dan Zhang 003; Kaspar Sakmann; William Beluch; Robin Hutmacher; Yumeng Li (ICCV (Workshops), 2023)