| 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 | 704 | 2016 |
| 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 |
| 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 | 2 | 2023 |
| 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 | 1559 | 2017 |
| Efficient large-scale semantic visual localization in 2d maps T Vojir, I Budvytis, R Cipolla Proceedings of the Asian Conference on Computer Vision, 2020 | 7 | 2020 |
| 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 | 92 | 2019 |
| Image-consistent detection of road anomalies as unpredictable patches T Vojíř, J Matas Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 9 | 2023 |
| Increasing robustness of the Flock of Trackers T Vojır, J Matas | 2 | 2012 |
| 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 | 23 | 2019 |
| Long-term Visual Object Tracking with Online Learning T Vojır | | 2012 |
| 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 | 67 | 2018 |
| Online adaptive hidden markov model for multi-tracker fusion T Vojir, J Matas, J Noskova Computer Vision and Image Understanding 153, 109-119, 2016 | 47 | 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 |
| 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 | 5 | 2019 |
| Performance evaluation methodology for longterm visual object tracking A Lukezic, L ˇCehovin Zajc, T Vojır, J Matas, M Kristan CoRR, abs/1906.08675, 2019 | 3 | 2019 |
| 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 | 18 | 2017 |
| PixOOD: Pixel-Level Out-of-Distribution Detection T Vojíř, J Šochman, J Matas arXiv preprint arXiv:2405.19882, 2024 | | 2024 |
| 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 | 63 | 2021 |
| Robust scale-adaptive mean-shift for tracking T Vojir, J Noskova, J Matas Image Analysis: 18th Scandinavian Conference, SCIA 2013, Espoo, Finland …, 2013 | 354 | 2013 |
| Robustifying the flock of trackers J Matas, T Vojíř na, 2011 | 76 | 2011 |
Jiri MatasProfessor, Czech Technical University在 cmp.felk.cvut.cz 的电子邮件经过验证
