MVTec D2S: Densely Segmented Supermarket Dataset. - Patrick Follmann; Tobias Böttger; Philipp Härtinger; Rebecca König; Markus Ulrich (ECCV (10), 2018)

Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation. - Patrick Follmann; Rebecca König; Philipp Härtinger; Michael Klostermann (CoRR, 2018)

Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation. - Patrick Follmann; Rebecca König; Philipp Härtinger; Michael Klostermann; Tobias Böttger (WACV, 2019)

Oriented Boxes for Accurate Instance Segmentation. - Patrick Follmann; Rebecca König (CoRR, 2019)

A Hybrid Approach for 6DoF Pose Estimation. - Rebecca König; Bertram Drost (ECCV Workshops (2), 2020)

Exploring the Importance of Pretrained Feature Extractors for Unsupervised Anomaly Detection and Localization. - Lars Heckler; Rebecca König; Paul Bergmann (CVPR Workshops, 2023)

Feature Selection for Unsupervised Anomaly Detection and Localization Using Synthetic Defects. - Lars Heckler; Rebecca König (VISIGRAPP (3): VISAPP, 2024)

EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies. - Kilian Batzner; Lars Heckler; Rebecca König (WACV, 2024)

The MVTec AD 2 Dataset: Advanced Scenarios for Unsupervised Anomaly Detection. - Lars Heckler-Kram; Jan-Hendrik Neudeck; Ulla Scheler; Rebecca König; Carsten Steger (CoRR, 2025)