Bojan Pepik
Bojan Pepik
Applied scientist at Amazon.com
Verified email at amazon.de
TitleCited byYear
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
2422012
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
1222013
3D2PM – 3D Deformable Part Models
B Pepik, P Gehler, M Stark, B Schiele
European Conference on Computer Vision, 356-370, 2012
982012
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
682011
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
592015
What is holding back convnets for detection?
B Pepik, R Benenson, T Ritschel, B Schiele
German Conference on Pattern Recognition, 517-528, 2015
472015
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
242015
Multi-view priors for learning detectors from sparse viewpoint data
B Pepik, M Stark, P Gehler, B Schiele
arXiv preprint arXiv:1312.6095, 2013
72013
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
International Conference on ICT Innovations, 135-144, 2009
12009
Richer object representations for object class detection in challenging real world images
B Pepik
2015
Protein Classification Using Decision Trees With Bottom-up Classification Approach
B Pepik, S Kalajdziski, D Davcev
13th International Conference on Biomedical Engineering, 174-178, 2009
2009
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Articles 1–11