Measuring the Accuracy of Object Detectors and Trackers. - Tobias Böttger; Patrick Follmann; Michael Fauser (GCPR, 2017)

The Benefits of Evaluating Tracker Performance Using Pixel-Wise Segmentations. - Tobias Böttger; Patrick Follmann (ICCV Workshops, 2017)

Acquire, Augment, Segment and Enjoy: Weakly Supervised Instance Segmentation of Supermarket Products. - Patrick Follmann; Bertram Drost; Tobias Böttger (GCPR, 2018)

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

A Rotationally-Invariant Convolution Module by Feature Map Back-Rotation. - Patrick Follmann; Tobias Böttger (WACV, 2018)

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

Acquire, Augment, Segment & Enjoy: Weakly Supervised Instance Segmentation of Supermarket Products. - Patrick Follmann; Bertram Drost; Tobias Böttger (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)

Few-Shot Object Detection in Industrial Applications: Training Accurate Models with Few Annotations. - Patrick Follmann (2021)