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)

Subpixel-Precise Tracking of Rigid Objects in Real-Time. - Tobias Böttger; Markus Ulrich; Carsten Steger (SCIA (1), 2017)

Edge-based Component-Trees for Multi-Channel Image Segmentation. - Tobias Böttger; Dominik Gutermuth (CoRR, 2017)

Efficiently Tracking Homogeneous Regions in Multichannel Images. - Tobias Böttger; Christina Eisenhofer (CoRR, 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)

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)

Real-time maximally stable homogeneous regions. - Tobias Böttger (J. Real Time Image Process., 2021)

Accurate and robust tracking of rigid objects in real time. - Tobias Böttger; Carsten Steger (J. Real Time Image Process., 2021)