| Waldboost-learning for time constrained sequential detection J Sochman, J Matas 2005 IEEE computer society conference on computer vision and pattern …, 2005 | 361 | 2005 |
| A system for real-time detection and tracking of vehicles from a single car-mounted camera C Caraffi, T Vojíř, J Trefný, J Šochman, J Matas 2012 15th international IEEE conference on intelligent transportation …, 2012 | 192 | 2012 |
| AdaBoost with totally corrective updates for fast face detection J Sochman, J Malas Sixth IEEE International Conference on Automatic Face and Gesture …, 2004 | 66 | 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 | 62 | 2011 |
| Continual occlusion and optical flow estimation M Neoral, J Šochman, J Matas Asian conference on computer vision, 159-174, 2018 | 56 | 2018 |
| 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 | 56 | 2013 |
| Learning fast emulators of binary decision processes J Šochman, J Matas International Journal of Computer Vision 83, 149-163, 2009 | 37 | 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 |
| Adaboost J Matas, J Sochman Center for Machine Perception, Czech Technical University, Prague 2, 2001 | 23 | 2001 |
| Inter-stage feature propagation in cascade building with adaboost J Sochman, J Matas Proceedings of the 17th International Conference on Pattern Recognition …, 2004 | 19 | 2004 |
| Object scene flow with temporal consistency M Neoral, J Šochman Computer vision winter workshop (CVWW) 2 (3), 7, 2017 | 18 | 2017 |
| AdaBoost J Sochman, J Matas Center for Machine Perception, Czech Technical University, Prague, 2010 | 17 | 2010 |
| 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 |
| Feedback between low-level and high-level image processing L Hotz, B Neumann, K Terzic, J Sochman | 13 | 2007 |
| Mobile mapping of vertical traffic infrastructure P Doubek, M Perdoch, J Matas, J Sochman Proceedings of the 13th Computer Vision Winter Workshop, 115-122, 2008 | 12 | 2008 |
| Learning for Sequential Classification J Sochman Prague: Czech Technical University, 2009 | 11 | 2009 |
| Optimization-Learning a Fast Emulator of a Binary Decision Process J Sochman, J Matas Lecture Notes in Computer Science 4844, 236-245, 2007 | 11 | 2007 |
| Interpreting structures in man-made scenes-combining low-level and high-level structure sources K Terzić, L Hotz, J Šochman International Conference on Agents and Artificial Intelligence 2, 357-364, 2010 | 10 | 2010 |
| AdaBoost J Šochman, J Matas Prague: Center for Machine Perception, Czech Technical University, 2010 | 8 | 2010 |
| Calibrated out-of-distribution detection with a generic representation T Vojíř, J Šochman, R Aljundi, J Matas 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW …, 2023 | 4 | 2023 |
Jiri MatasProfessor, Czech Technical University在 cmp.felk.cvut.cz 的電子郵件地址已通過驗證