| What makes for effective detection proposals? J Hosang, R Benenson, P Dollár, B Schiele IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2015, 2015 | 880 | 2015 |
| Ten years of pedestrian detection, what have we learned? R Benenson, M Omran, J Hosang, B Schiele ECCV workshop on computer vision for road scene understanding and autonomous …, 2014 | 834 | 2014 |
| Simple Does It: Weakly Supervised Instance and Semantic Segmentation A Khoreva, R Benenson, J Hosang, M Hein, B Schiele Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2017 | 794 | 2017 |
| Learning non-maximum suppression J Hosang, R Benenson, B Schiele Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2017 | 634 | 2017 |
| How Far are We from Solving Pedestrian Detection? S Zhang, R Benenson, M Omran, J Hosang, B Schiele Conference on Computer Vision and Pattern Recognition (CVPR), 2016, 2016 | 542 | 2016 |
| Taking a deeper look at pedestrians J Hosang, M Omran, R Benenson, B Schiele Conference on Computer Vision and Pattern Recognition (CVPR), 2015, 2015 | 416 | 2015 |
| How good are detection proposals, really? J Hosang, R Benenson, B Schiele British Machine Vision Conference (BMVC), 2014, 2014 | 317 | 2014 |
| Towards reaching human performance in pedestrian detection S Zhang, R Benenson, M Omran, J Hosang, B Schiele IEEE transactions on pattern analysis and machine intelligence 40 (4), 973-986, 2017 | 208 | 2017 |
| Cotr: Correspondence transformer for matching across images W Jiang, E Trulls, J Hosang, A Tagliasacchi, KM Yi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 178 | 2021 |
| A convnet for non-maximum suppression J Hosang, R Benenson, B Schiele German Conference on Pattern Recognition (GCPR), 2016, 2016 | 98 | 2016 |
| GyroPen: Gyroscopes for Pen-Input with Mobile Phones T Deselaers, D Keysers, J Hosang, H Rowley IEEE Transactions on Human-Machine Systems 45 (2), 263-271, 2015 | 71 | 2015 |
| An evaluation of two automatic landmark building discovery algorithms for city reconstruction T Weyand, J Hosang, B Leibe Trends and Topics in Computer Vision: ECCV 2010 Workshops, Heraklion, Crete …, 2012 | 23 | 2012 |
| Computer Vision—ECCV 2014 Workshops R Benenson, M Omran, J Hosang, B Schiele Springer International Publishing, 2015 | 9 | 2015 |
| Efficient large scale inlier voting for geometric vision problems D Aiger, S Lynen, J Hosang, B Zeisl Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 4 | 2021 |
| Data-Mining-Cup 2007 C Buck, T Gass, A Hannig, J Hosang, S Jonas, JT Peter, P Steingrube, ... Informatik-Spektrum: Vol. 31, No. 6, 2008 | 4 | 2008 |
| System and method for detecting objects in a digital image, and system and method for rescoring object detections DO Reino, B Schiele, JH Hosang, R Benenson US Patent App. 16/608,399, 2020 | 3 | 2020 |
| SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding PE Sarlin, E Trulls, M Pollefeys, J Hosang, S Lynen arXiv preprint arXiv:2306.05407, 2023 | 1 | 2023 |
| TUSK: Task-Agnostic Unsupervised Keypoints Y Jin, W Sun, J Hosang, E Trulls, KM Yi Advances in Neural Information Processing Systems 35, 29538-29551, 2022 | 1 | 2022 |
| System and method for detecting objects in a digital image, and system and method for rescoring object detections DO Reino, B Schiele, JH Hosang, R Benenson US Patent 11,715,281, 2023 | | 2023 |
| Analysis and improvement of the visual object detection pipeline J Hosang | | 2017 |
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
