Tomáš Vojíř
Tomáš Vojíř
Machine Intelligence Laboratory, University of Cambridge
Verified email at eng.cam.ac.uk
TitleCited byYear
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
11312015
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
3322017
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
2652016
Robust scale-adaptive mean-shift for tracking
T Vojir, J Noskova, J Matas
Scandinavian Conference on Image Analysis, 652-663, 2013
2142013
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
1352012
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
802018
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
732015
Robustifying the flock of trackers
J Matas, T Vojíř
na, 2011
672011
The enhanced flock of trackers
T Vojíř, J Matas
Registration and Recognition in Images and Videos, 113-136, 2014
572014
Online adaptive hidden markov model for multi-tracker fusion
T Vojir, J Matas, J Noskova
Computer Vision and Image Understanding 153, 109-119, 2016
232016
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
222015
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
172018
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
152017
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
142018
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
132014
The visual object tracking vot2014 challenge results,” 2014
M Kristan, R Pflugfelder, A Leonardis, J Matas, L Cehovin, G Nebehay, ...
C, 2014
72014
Visual Object Tracking Challenge (VOT2013) Evaluation Kit
M Kristan, L Cehovin, T Vojir, G Negehay
Visual Object Tracking Challenge 19, 44, 2013
62013
Tracking with kernelized correlation filters
T Vojir
52017
Increasing robustness of the Flock of Trackers
T Vojır, J Matas
Research Report CTU–CMP–2012–14, Center for Machine Perception, K13133 FEE …, 2012
22012
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
12019
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