| The visual object tracking vot2017 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE International Conference on Computer Vision, 1949-1972, 2017 | 1344 | 2017 |
| The visual object tracking vot2014 challenge results M Kristan, R Pflugfelder, A Leonardis, J Matas, L Čehovin, G Nebehay, ... Computer Vision-ECCV 2014 Workshops, 191-217, 2014 | 1340 | 2014 |
| Robust object detection with interleaved categorization and segmentation B Leibe, A Leonardis, B Schiele International Journal of Computer Vision 77 (1), 259-289, 2008 | 1181 | 2008 |
| Combined object categorization and segmentation with an implicit shape model B Leibe, A Leonardis, B Schiele Workshop on Statistical Learning in Computer Vision, ECCV, 17-32, 2004 | 1109 | 2004 |
| Robust recognition using eigenimages A Leonardis, H Bischof Computer Vision and Image Understanding 78 (1), 99-118, 2000 | 381 | 2000 |
| A novel performance evaluation methodology for single-target trackers M Kristan, J Matas, A Leonardis, T Vojíř, R Pflugfelder, G Fernandez, ... IEEE transactions on pattern analysis and machine intelligence 38 (11), 2137 …, 2016 | 331 | 2016 |
| A novel performance evaluation methodology for single-target trackers M Kristan, J Matas, A Leonardis, T Vojir, R Pflugfelder, G Fernandez, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016 | 331 | 2016 |
| Segmentation and recovery of superquadrics A Jaklič, A Leonardis, F Solina Springer, 2000 | 309* | 2000 |
| Deep hierarchies in the primate visual cortex: What can we learn for computer vision? N Kruger, P Janssen, S Kalkan, M Lappe, A Leonardis, J Piater, ... IEEE transactions on pattern analysis and machine intelligence 35 (8), 1847-1871, 2013 | 275 | 2013 |
| Towards scalable representations of object categories: Learning a hierarchy of parts S Fidler, A Leonardis Computer Vision and Pattern Recognition, 2007. CVPR'07. IEEE Conference on, 1-8, 2007 | 240 | 2007 |
| Segmentation of range images as the search for geometric parametric models A Leonardis, A Gupta, R Bajcsy International Journal of Computer Vision 14 (3), 253-277, 1995 | 239 | 1995 |
| Weighted and robust incremental method for subspace learning D Skocaj, A Leonardis Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on …, 2003 | 218 | 2003 |
| Superquadrics for segmenting and modeling range data A Leonardis, A Jaklic, F Solina IEEE Transactions on Pattern Analysis and Machine Intelligence 19 (11), 1289 …, 1997 | 203 | 1997 |
| Robust visual tracking using an adaptive coupled-layer visual model L Cehovin, M Kristan, A Leonardis IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (4), 941-953, 2013 | 196 | 2013 |
| Combining reconstructive and discriminative subspace methods for robust classification and regression by subsampling S Fidler, D Skocaj, A Leonardis IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (3), 337-350, 2006 | 195 | 2006 |
| Detection of diffuse and specular interface reflections and inter-reflections by color image segmentation R Bajcsy, SW Lee, A Leonardis International Journal of Computer Vision 17 (3), 241-272, 1996 | 188 | 1996 |
| Incremental PCA for on-line visual learning and recognition M Artac, M Jogan, A Leonardis Pattern Recognition, 2002. Proceedings. 16th International Conference on 3 …, 2002 | 177 | 2002 |
| Multivariate online kernel density estimation with Gaussian kernels M Kristan, A Leonardis, D Skočaj Pattern Recognition 44 (10-11), 2630-2642, 2011 | 171 | 2011 |
| The sixth visual object tracking vot2018 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, LČ Zajc, ... European Conference on Computer Vision, 3-53, 2018 | 165 | 2018 |
| An efficient MDL-based construction of RBF networks A Leonardis, H Bischof Neural Networks 11 (5), 963-973, 1998 | 147 | 1998 |
