| 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 | 1510 | 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 | 652 | 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 | 398 | 2016 |
| Robust scale-adaptive mean-shift for tracking T Vojir, J Noskova, J Matas Scandinavian Conference on Image Analysis, 652-663, 2013 | 272 | 2013 |
| The sixth visual object tracking vot2018 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018 | 267 | 2018 |
| 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 | 160 | 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 | 103 | 2015 |
| Robustifying the flock of trackers J Matas, T Vojíř na, 2011 | 71 | 2011 |
| The enhanced flock of trackers T Vojíř, J Matas Registration and Recognition in Images and Videos, 113-136, 2014 | 70 | 2014 |
| Online adaptive hidden markov model for multi-tracker fusion T Vojir, J Matas, J Noskova Computer Vision and Image Understanding 153, 109-119, 2016 | 35 | 2016 |
| FuCoLoT–a fully-correlational long-term tracker A Lukežič, LČ Zajc, T Vojíř, J Matas, M Kristan Asian Conference on Computer Vision, 595-611, 2018 | 34 | 2018 |
| 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 | 21 | 2018 |
| 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 | 20 | 2017 |
| 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 | 18 | 2015 |
| 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 | 15 | 2014 |
| 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 | 9 | 2014 |
| 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 | 7 | 2019 |
| Visual Object Tracking Challenge (VOT2013) Evaluation Kit M Kristan, L Cehovin, T Vojir, G Negehay Visual Object Tracking Challenge 19, 44, 2013 | 6 | 2013 |
| Tracking with kernelized correlation filters T Vojir | 5 | 2017 |
| Performance evaluation methodology for long-term visual object tracking A Lukežič, LČ Zajc, T Vojíř, J Matas, M Kristan arXiv preprint arXiv:1906.08675, 2019 | 3 | 2019 |
Jiri MatasProfessor, Czech Technical UniversityVerified email at cmp.felk.cvut.cz
