| Waldboost-learning for time constrained sequential detection J Sochman, J Matas 2005 IEEE computer society conference on computer vision and pattern …, 2005 | 336 | 2005 |
| AdaBoost with totally corrective updates for fast face detection J Šochman, J Matas IEEE, 2004 | 61 | 2004 |
| Who knows who-inverting the social force model for finding groups J Šochman, DC Hogg 2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011 | 48 | 2011 |
| Robust abandoned object detection integrating wide area visual surveillance and social context J Ferryman, D Hogg, J Sochman, A Behera, JA Rodriguez-Serrano, ... Pattern Recognition Letters 34 (7), 789-798, 2013 | 45 | 2013 |
| Learning fast emulators of binary decision processes J Šochman, J Matas International Journal of Computer Vision 83 (2), 149-163, 2009 | 35 | 2009 |
| Training sequential on-line boosting classifier for visual tracking H Grabner, J Sochman, H Bischof, J Matas 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 28 | 2008 |
| Continual occlusion and optical flow estimation M Neoral, J Šochman, J Matas Asian Conference on Computer Vision, 159-174, 2018 | 21 | 2018 |
| Inter-stage feature propagation in cascade building with adaboost J Sochman, J Matas Proceedings of the 17th International Conference on Pattern Recognition …, 2004 | 21 | 2004 |
| Adaboost J Matas, J Sochman Center for Machine Perception, Czech Technical University, Prague 2, 2001 | 20 | 2001 |
| Wald's sequential analysis for time-constrained vision problems J Matas, J Šochman Unifying Perspectives in Computational and Robot Vision, 57-77, 2008 | 16 | 2008 |
| Object scene flow with temporal consistency M Neoral, J Šochman Computer vision winter workshop (CVWW) 2 (3), 7, 2017 | 15 | 2017 |
| Learning a fast emulator of a binary decision process J Sochman, J Matas | 12 | 2007 |
| Feedback between low-level and high-level image processing L Hotz, B Neumann, K Terzic, J Sochman | 12 | 2007 |
| Learning for Sequential Classification J Sochman Prague: Czech Technical University, 2009 | 9 | 2009 |
| AdaBoost J Šochman, J Matas, J Kostlivá, O Drbohlav Prague: Center for Machine Perception, Czech Technical University, 2010 | 7 | 2010 |
| Training Sequential On-line Boosting Class for Visual Tracking H Grabner, H Bischof, J Sochman, J Matas International Conference of Pattern Recognition (IAPR 2008), 2008 | | 2008 |
| A new semi-supervised method improving optical flow on distant domains T Novák, J Šochman, J Matas | | |
| WaldBoost: Learning for Sequential Classification J Šochman | | |
Jiri MatasProfessor, Czech Technical UniversityVerified email at cmp.felk.cvut.cz
