Data-Mining-Cup 2007. - Christian Buck; Tobias Gass; Andreas Hannig; Jan Hendrik Hosang; Stephan M. Jonas; Jan-Thorsten Peter; Pascal Steingrube; Jan Henrik Ziegeldorf (Inform. Spektrum, 2008)

An Evaluation of Two Automatic Landmark Building Discovery Algorithms for City Reconstruction. - Tobias Weyand; Jan Hendrik Hosang; Bastian Leibe (ECCV Workshops (1), 2010)

How good are detection proposals, really?. - Jan Hendrik Hosang; Rodrigo Benenson; Bernt Schiele (BMVC, 2014)

Ten Years of Pedestrian Detection, What Have We Learned? - Rodrigo Benenson; Mohamed Omran; Jan Hendrik Hosang; Bernt Schiele (ECCV Workshops (2), 2014)

Taking a deeper look at pedestrians. - Jan Hendrik Hosang; Mohamed Omran; Rodrigo Benenson; Bernt Schiele (CVPR, 2015)

GyroPen: Gyroscopes for Pen-Input With Mobile Phones. - Thomas Deselaers; Daniel Keysers; Jan Hendrik Hosang; Henry A. Rowley (IEEE Trans. Hum. Mach. Syst., 2015)

How Far are We from Solving Pedestrian Detection? - Shanshan Zhang 001; Rodrigo Benenson; Mohamed Omran; Jan Hendrik Hosang; Bernt Schiele (CVPR, 2016)

A Convnet for Non-maximum Suppression. - Jan Hendrik Hosang; Rodrigo Benenson; Bernt Schiele (GCPR, 2016)

Weakly Supervised Semantic Labelling and Instance Segmentation. - Anna Khoreva; Rodrigo Benenson; Jan Hendrik Hosang; Matthias Hein 001; Bernt Schiele (CoRR, 2016)

What Makes for Effective Detection Proposals? - Jan Hendrik Hosang; Rodrigo Benenson; Piotr Dollár; Bernt Schiele (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Simple Does It: Weakly Supervised Instance and Semantic Segmentation. - Anna Khoreva; Rodrigo Benenson; Jan Hendrik Hosang; Matthias Hein 001; Bernt Schiele (CVPR, 2017)

Learning Non-maximum Suppression. - Jan Hendrik Hosang; Rodrigo Benenson; Bernt Schiele (CVPR, 2017)

Analysis and improvement of the visual object detection pipeline. - Jan Hendrik Hosang (2017)

Towards Reaching Human Performance in Pedestrian Detection. - Shanshan Zhang 001; Rodrigo Benenson; Mohamed Omran; Jan Hendrik Hosang; Bernt Schiele (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Efficient Large Scale Inlier Voting for Geometric Vision Problems. - Dror Aiger; Simon Lynen; Jan Hosang; Bernhard Zeisl (ICCV, 2021)

COTR: Correspondence Transformer for Matching Across Images. - Wei Jiang 034; Eduard Trulls; Jan Hosang; Andrea Tagliasacchi; Kwang Moo Yi (ICCV, 2021)

TUSK: Task-Agnostic Unsupervised Keypoints. - Yuhe Jin; Weiwei Sun; Jan Hosang; Eduard Trulls; Kwang Moo Yi (NeurIPS, 2022)

SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding. - Paul-Edouard Sarlin; Eduard Trulls; Marc Pollefeys; Jan Hosang; Simon Lynen (NeurIPS, 2023)