| 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 | 2725* | 2015 |
| 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 | 1494 | 2017 |
| 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 | 690 | 2016 |
| The seventh visual object tracking vot2019 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 535 | 2019 |
| Robust scale-adaptive mean-shift for tracking T Vojir, J Noskova, J Matas Image Analysis: 18th Scandinavian Conference, SCIA 2013, Espoo, Finland …, 2013 | 353 | 2013 |
| 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 | 191 | 2012 |
| The thermal infrared visual object tracking VOT-TIR2015 challenge results M Felsberg, A Berg, G Hager, J Ahlberg, M Kristan, J Matas, A Leonardis, ... Proceedings of the ieee international conference on computer vision …, 2015 | 171 | 2015 |
| Fucolot–a fully-correlational long-term tracker A Lukežič, LČ Zajc, T Vojíř, J Matas, M Kristan Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 90 | 2019 |
| Discriminative correlation filter tracner with channel and spatial reliability A LuNežič, T Vojíř, LČ Zajc, J Matas, M Kristan International Journal of Computer Vision 126 (7), 671-688, 2018 | 78 | 2018 |
| Robustifying the flock of trackers J Matas, T Vojíř na, 2011 | 75 | 2011 |
| The enhanced flock of trackers T Vojíř, J Matas Registration and recognition in images and videos, 113-136, 2014 | 72 | 2014 |
| Now you see me: evaluating performance in long-term visual tracking A Lukežič, LČ Zajc, T Vojíř, J Matas, M Kristan arXiv preprint arXiv:1804.07056, 2018 | 63 | 2018 |
| Road anomaly detection by partial image reconstruction with segmentation coupling T Vojir, T Šipka, R Aljundi, N Chumerin, DO Reino, J Matas Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 60 | 2021 |
| Online adaptive hidden markov model for multi-tracker fusion T Vojir, J Matas, J Noskova Computer Vision and Image Understanding 153, 109-119, 2016 | 46 | 2016 |
| Performance evaluation methodology for long-term single-object tracking A Lukeźič, LČ Zajc, T Vojíř, J Matas, M Kristan IEEE transactions on cybernetics 51 (12), 6305-6318, 2020 | 29 | 2020 |
| Large scale joint semantic re-localisation and scene understanding via globally unique instance coordinate regression I Budvytis, M Teichmann, T Vojir, R Cipolla arXiv preprint arXiv:1909.10239, 2019 | 26 | 2019 |
| The visual object tracking vot2014 challenge results (2014) M Kristan, R Pflugfelder, A Leonardis, J Matas, L Cehovin, G Nebehay, ... ICCV Workshops, 564-586, 2014 | 26 | 2014 |
| The vot2013 challenge: overview and additional results M Kristan, R Pflugfelder, A Leonardis, J Matas, F Porikli, L Cehovin, ... Czech Society for Cybernetics and Informatics, 2014 | 23 | 2014 |
| The visual object tracking vot2015 challenge results K Matej, J Matas, A Leonardis, M Felsberg, L Čehovin, G Fernández, ... Workshop on the Visual Object Tracking Challenge (VOT, in conjunction with ICCV), 2015 | 20 | 2015 |
| Pixel-wise object segmentations for the VOT 2016 dataset T Vojir, J Matas Research Report CTU-CMP-2017–01, Center for Machine Perception, Czech …, 2017 | 19 | 2017 |
Jiri MatasProfessor, Czech Technical University在 cmp.felk.cvut.cz 的电子邮件经过验证
