Model globally, match locally: Efficient and robust 3D object recognition. - Bertram Drost; Markus Ulrich; Nassir Navab; Slobodan Ilic (CVPR, 2010)

3D Object Detection and Localization Using Multimodal Point Pair Features. - Bertram Drost; Slobodan Ilic (3DIMPVT, 2012)

A Hierarchical Voxel Hash for Fast 3D Nearest Neighbor Lookup. - Bertram Drost; Slobodan Ilic (GCPR, 2013)

Local Hough Transform for 3D Primitive Detection. - Bertram Drost; Slobodan Ilic (3DV, 2015)

Graph-Based Deformable 3D Object Matching. - Bertram Drost; Slobodan Ilic (GCPR, 2015)

Point Cloud Computing for Rigid and Deformable 3D Object Recognition. - Bertram Drost (2016)

Introducing MVTec ITODD - A Dataset for 3D Object Recognition in Industry. - Bertram Drost; Markus Ulrich; Paul Bergmann; Philipp Härtinger; Carsten Steger (ICCV Workshops, 2017)

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

A Summary of the 4th International Workshop on Recovering 6D Object Pose. - Tomás Hodan; Rigas Kouskouridas; Tae-Kyun Kim 001; Federico Tombari; Kostas E. Bekris; Bertram Drost; Thibault Groueix; Krzysztof Walas; Vincent Lepetit; Ales Leonardis; Carsten Steger; Frank Michel 002; et al. (ECCV Workshops (1), 2018)

BOP: Benchmark for 6D Object Pose Estimation. - Tomas Hodan; Frank Michel 002; Eric Brachmann; Wadim Kehl; Anders Glent Buch; Dirk Kraft; Bertram Drost; Joel Vidal; Stephan Ihrke; Xenophon Zabulis; Caner Sahin; Fabian Manhardt; et al. (ECCV (10), 2018)

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

A performance evaluation of point pair features. - Lilita Kiforenko; Bertram Drost; Federico Tombari; Norbert Krüger; Anders Glent Buch (Comput. Vis. Image Underst., 2018)

Almost constant-time 3D nearest-neighbor lookup using implicit octrees. - Bertram Drost; Slobodan Ilic (Mach. Vis. Appl., 2018)

BOP Challenge 2020 on 6D Object Localization. - Tomás Hodan; Martin Sundermeyer; Bertram Drost; Yann Labbé; Eric Brachmann; Frank Michel 002; Carsten Rother; Jiri Matas (ECCV Workshops (2), 2020)

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

BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects. - Martin Sundermeyer; Tomás Hodan; Yann Labbé; Gu Wang 001; Eric Brachmann; Bertram Drost; Carsten Rother; Jirí Matas (CVPR Workshops, 2023)

BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects. - Tomas Hodan; Martin Sundermeyer; Yann Labbé; Van Nguyen Nguyen; Gu Wang 001; Eric Brachmann; Bertram Drost; Vincent Lepetit; Carsten Rother; Jiri Matas (CVPR Workshops, 2024)

BOP Challenge 2024 on Model-Based and Model-Free 6D Object Pose Estimation. - Van Nguyen Nguyen; Stephen Tyree; Andrew Guo; Mederic Fourmy; Anas Gouda; Taeyeop Lee; Sungphill Moon; Hyeontae Son; Lukas Ranftl; Jonathan Tremblay; Eric Brachmann; Bertram Drost; et al. (CoRR, 2025)

MVTOP: Multi-View Transformer-based Object Pose-Estimation. - Lukas Ranftl; Felix Brendel; Bertram Drost; Carsten Steger (CoRR, 2025)