| On combining classifiers J Kittler, M Hatef, RPW Duin, J Matas IEEE transactions on pattern analysis and machine intelligence 20 (3), 226-239, 2002 | 7971 | 2002 |
| Robust wide-baseline stereo from maximally stable extremal regions J Matas, O Chum, M Urban, T Pajdla Image and vision computing 22 (10), 761-767, 2004 | 6824 | 2004 |
| Tracking-learning-detection Z Kalal, K Mikolajczyk, J Matas IEEE transactions on pattern analysis and machine intelligence 34 (7), 1409-1422, 2011 | 4747 | 2011 |
| A comparison of affine region detectors K Mikolajczyk, T Tuytelaars, C Schmid, A Zisserman, J Matas, ... International journal of computer vision 65 (1), 43-72, 2005 | 4510 | 2005 |
| The visual object tracking vot2015 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ... Proceedings of the IEEE international conference on computer vision …, 2015 | 2992* | 2015 |
| Deblurgan: Blind motion deblurring using conditional adversarial networks O Kupyn, V Budzan, M Mykhailych, D Mishkin, J Matas Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 2206 | 2018 |
| ICDAR 2015 competition on robust reading D Karatzas, L Gomez-Bigorda, A Nicolaou, S Ghosh, A Bagdanov, ... 2015 13th international conference on document analysis and recognition …, 2015 | 2068 | 2015 |
| XM2VTSDB: The extended M2VTS database K Messer, J Matas, J Kittler, J Luettin, G Maitre Second international conference on audio and video-based biometric person …, 1999 | 2057 | 1999 |
| Discriminative correlation filter with channel and spatial reliability A Lukezic, T Vojir, L ˇCehovin Zajc, J Matas, M Kristan Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1783 | 2017 |
| Matching with PROSAC-progressive sample consensus O Chum, J Matas 2005 IEEE computer society conference on computer vision and pattern …, 2005 | 1767 | 2005 |
| PN learning: Bootstrapping binary classifiers by structural constraints Z Kalal, J Matas, K Mikolajczyk 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 1565 | 2010 |
| Forward-backward error: Automatic detection of tracking failures Z Kalal, K Mikolajczyk, J Matas 2010 20th international conference on pattern recognition, 2756-2759, 2010 | 1329 | 2010 |
| Locally optimized RANSAC O Chum, J Matas, J Kittler Joint pattern recognition symposium, 236-243, 2003 | 1262 | 2003 |
| Real-time scene text localization and recognition L Neumann, J Matas 2012 IEEE conference on computer vision and pattern recognition, 3538-3545, 2012 | 1143 | 2012 |
| HPatches: A benchmark and evaluation of handcrafted and learned local descriptors V Balntas, K Lenc, A Vedaldi, K Mikolajczyk Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1111 | 2017 |
| Working hard to know your neighbor's margins: Local descriptor learning loss A Mishchuk, D Mishkin, F Radenovic, J Matas Advances in neural information processing systems 30, 2017 | 941 | 2017 |
| Robust detection of lines using the progressive probabilistic hough transform J Matas, C Galambos, J Kittler Computer vision and image understanding 78 (1), 119-137, 2000 | 937 | 2000 |
| USAC: A universal framework for random sample consensus R Raguram, O Chum, M Pollefeys, J Matas, JM Frahm IEEE transactions on pattern analysis and machine intelligence 35 (8), 2022-2038, 2012 | 841 | 2012 |
| All you need is a good init D Mishkin, J Matas arXiv preprint arXiv:1511.06422, 2015 | 840 | 2015 |
| 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 | 779 | 2016 |
Josef KittlerUniversity of SurreyVerified email at surrey.ac.uk
