Automated Structural Classification of Proteins by Using Decision Trees and Structural Protein Features. - Slobodan Kalajdziski; Bojan Pepik; Ilinka Ivanovska; Georgina Mirceva; Kire Trivodaliev; Danco Davcev (ICT Innovations, 2009)

Fine-Grained Categorization for 3D Scene Understanding. - Michael Stark 003; Jonathan Krause; Bojan Pepik; David Meger; James J. Little; Bernt Schiele; Daphne Koller (BMVC, 2012)

Teaching 3D geometry to deformable part models. - Bojan Pepik; Michael Stark 003; Peter V. Gehler; Bernt Schiele (CVPR, 2012)

3D2PM - 3D Deformable Part Models. - Bojan Pepik; Peter V. Gehler; Michael Stark 003; Bernt Schiele (ECCV (6), 2012)

Occlusion Patterns for Object Class Detection. - Bojan Pepik; Michael Stark 003; Peter V. Gehler; Bernt Schiele (CVPR, 2013)

Multi-View Priors for Learning Detectors from Sparse Viewpoint Data. - Bojan Pepik; Michael Stark 003; Peter V. Gehler; Bernt Schiele (ICLR (Poster), 2014)

3D object class detection in the wild. - Bojan Pepik; Michael Stark 003; Peter V. Gehler; Tobias Ritschel 001; Bernt Schiele (CVPR Workshops, 2015)

What Is Holding Back Convnets for Detection? - Bojan Pepik; Rodrigo Benenson; Tobias Ritschel 001; Bernt Schiele (GCPR, 2015)

Multi-View and 3D Deformable Part Models. - Bojan Pepik; Michael Stark 003; Peter V. Gehler; Bernt Schiele (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Richer object representations for object class detection in challenging real world images. - Bojan Pepik (2016)

Clothing Recognition in the Wild using the Amazon Catalog. - Fabian Caba Heilbron; Bojan Pepik; Zohar Barzelay; Michael Donoser (ICCV Workshops, 2019)