| Real-time tracking via on-line boosting. H Grabner, M Grabner, H Bischof Bmvc 1 (5), 6, 2006 | 1796 | 2006 |
| Semi-supervised on-line boosting for robust tracking H Grabner, C Leistner, H Bischof European conference on computer vision, 234-247, 2008 | 1586 | 2008 |
| On-line boosting and vision H Grabner, H Bischof 2006 IEEE computer society conference on computer vision and pattern …, 2006 | 1544 | 2006 |
| Creating summaries from user videos M Gygli, H Grabner, H Riemenschneider, L Van Gool European conference on computer vision, 505-520, 2014 | 1048 | 2014 |
| Video summarization by learning submodular mixtures of objectives M Gygli, H Grabner, L Van Gool Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 516 | 2015 |
| What makes a chair a chair? H Grabner, J Gall, L Van Gool CVPR 2011, 1529-1536, 2011 | 356 | 2011 |
| Fast approximated SIFT M Grabner, H Grabner, H Bischof Asian conference on computer vision, 918-927, 2006 | 331 | 2006 |
| Tracking the invisible: Learning where the object might be H Grabner, J Matas, L Van Gool, P Cattin 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 321 | 2010 |
| Beyond semi-supervised tracking: Tracking should be as simple as detection, but not simpler than recognition S Stalder, H Grabner, L Van Gool 2009 IEEE 12th international conference on computer vision workshops, ICCV …, 2009 | 299 | 2009 |
| Segmentation-Based Urban Traffic Scene Understanding. A Ess, T Müller, H Grabner, L Van Gool BMVC 1, 2, 2009 | 253 | 2009 |
| The interestingness of images M Gygli, H Grabner, H Riemenschneider, F Nater, L Van Gool Proceedings of the IEEE international conference on computer vision, 1633-1640, 2013 | 242 | 2013 |
| On-line boosting-based car detection from aerial images H Grabner, TT Nguyen, B Gruber, H Bischof ISPRS Journal of Photogrammetry and Remote Sensing 63 (3), 382-396, 2008 | 202 | 2008 |
| Learning features for tracking M Grabner, H Grabner, H Bischof 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 132 | 2007 |
| Cascaded confidence filtering for improved tracking-by-detection S Stalder, H Grabner, L Van Gool European Conference on Computer Vision, 369-382, 2010 | 129 | 2010 |
| Classifier grids for robust adaptive object detection PM Roth, S Sternig, H Grabner, H Bischof 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2727-2734, 2009 | 108 | 2009 |
| On-line conservative learning for person detection PM Roth, H Grabner, H Bischof, D Skocaj, A Leonardist 2005 IEEE International Workshop on Visual Surveillance and Performance …, 2005 | 108 | 2005 |
| Deconvolution of 1D NMR spectra: A deep learning-based approach N Schmid, S Bruderer, F Paruzzo, G Fischetti, G Toscano, D Graf, M Fey, ... Journal of Magnetic Resonance 347, 107357, 2023 | 88 | 2023 |
| On-line boosting for car detection from aerial images TT Nguyen, H Grabner, H Bischof, B Gruber 2007 IEEE International Conference on Research, Innovation and Vision for …, 2007 | 87 | 2007 |
| Hunting nessie-real-time abnormality detection from webcams MD Breitenstein, H Grabner, L Van Gool 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009 | 86 | 2009 |
| A 3D teacher for car detection in aerial images S Kluckner, G Pacher, H Grabner, H Bischof, J Bauer 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 86 | 2007 |
Horst BischofGraz University of TechnologyVerified email at icg.tugraz.at
