| Teaching 3d geometry to deformable part models B Pepik, M Stark, P Gehler, B Schiele 2012 IEEE conference on computer vision and pattern recognition, 3362-3369, 2012 | 305 | 2012 |
| Occlusion patterns for object class detection B Pepikj, M Stark, P Gehler, B Schiele Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 165 | 2013 |
| 3D2PM – 3D Deformable Part Models B Pepik, P Gehler, M Stark, B Schiele Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 115 | 2012 |
| Fine-grained categorization for 3d scene understanding M Stark, J Krause, B Pepik, D Meger, JJ Little, B Schiele, D Koller International Journal of Robotics Research 30 (13), 1543-1552, 2011 | 97 | 2011 |
| Multi-view and 3D Deformable Part Models B Pepikj, M Stark, P Gehler, B Schiele Pattern Analysis and Machine Intelligence, IEEE Transactions on 37 (11 …, 2015 | 89 | 2015 |
| What is holding back convnets for detection? B Pepik, R Benenson, T Ritschel, B Schiele Pattern Recognition: 37th German Conference, GCPR 2015, Aachen, Germany …, 2015 | 67 | 2015 |
| 3d object class detection in the wild B Pepik, M Stark, P Gehler, T Ritschel, B Schiele Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 35 | 2015 |
| Automated video ratings EE McAninly, B Pepik, BCY Cheung, V Germano, KK Sivakumar, E Orme, ... US Patent 10,643,074, 2020 | 14 | 2020 |
| In-place scrolling for a user in interface Z Barzelay, B Pepik US Patent 11,262,906, 2022 | 12 | 2022 |
| Clothing recognition in the wild using the amazon catalog FC Heilbron, B Pepik, Z Barzelay, M Donoser | 10 | 2019 |
| Multi-view priors for learning detectors from sparse viewpoint data B Pepik, M Stark, P Gehler, B Schiele arXiv preprint arXiv:1312.6095, 2013 | 9 | 2013 |
| Clothing Recognition in the Wild using the Amazon Catalog F Caba Heilbron, B Pepik, Z Barzelay, M Donoser Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 2 | 2019 |
| Protein classification using decision trees with bottom-up classification approach B Pepik, S Kalajdziski, D Davcev 13th International Conference on Biomedical Engineering: ICBME 2008 3–6 …, 2009 | 2 | 2009 |
| Automated Structural Classification of Proteins by Using Decision Trees and Structural Protein Features S Kalajdziski, B Pepik, I Ivanovska, G Mirceva, K Trivodaliev, D Davcev ICT Innovations 2009, 135-144, 2010 | 1 | 2010 |
| Richer object representations for object class detection in challenging real world images B Pepik | | 2015 |
| Automated Structural Classification of Proteins by Using Decision Trees and Structural Protein Features K Trivodaliev, S Kalajdziski, I Ivanoska, D Davchev, B Pepik, G Mircheva Springer, Berlin, Heidelberg, 2009 | | 2009 |
| ICCV 2015 Outstanding Reviewers R Arandjelovic, A Argyros, M Ben-ezra, O Ben-Shahar, C Benitez-Quiroz, ... | | |
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland University, Saarland Informatics CampusVerified email at mpi-inf.mpg.de
