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Karel Lebeda
Karel Lebeda
Research Engineer at Synthesia
Verified email at lebeda.sk - Homepage
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The visual object tracking vot2013 challenge results
M Kristan, R Pflugfelder, A Leonardis, J Matas, F Porikli, L Cehovin, ...
Computer Vision Workshops (ICCVW), 2013 IEEE International Conference on, 98-111, 2013
21072013
Fixing the locally optimized RANSAC–Full experimental evaluation
K Lebeda, J Matas, O Chum
Research Report CTU–CMP–2012–17, Center for Machine Perception, Czech …, 2012
2922012
Fixing the Locally Optimized RANSAC.
K Lebeda, J Matas, O Chum
BMVC, 1-11, 2012
292*2012
The thermal infrared visual object tracking VOT-TIR2016 challenge results
M Felsberg, M Kristan, J Matas, A Leonardis, R Pflugfelder, G Häger, ...
European Conference on Computer Vision, 824-849, 2016
1702016
Long-term tracking through failure cases
K Lebeda, S Hadfield, J Matas, R Bowden
Proceedings of the IEEE International Conference on Computer Vision …, 2013
582013
Texture-Independent Long-Term Tracking Using Virtual Corners
K Lebeda, S Hadfield, J Matas, R Bowden
IEEE Transactions on Image Processing 25 (1), 359-371, 2016
282016
2D or not 2D: Bridging the gap between tracking and structure from motion
K Lebeda, S Hadfield, R Bowden
Computer Vision--ACCV 2014: 12th Asian Conference on Computer Vision …, 2015
242015
Natural action recognition using invariant 3D motion encoding
S Hadfield, K Lebeda, R Bowden
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
212014
HARD-PnP: PnP Optimization Using a Hybrid Approximate Representation
S Hadfield, K Lebeda, R Bowden
IEEE transactions on Pattern Analysis and Machine Intelligence, 2018
202018
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
202015
Hollywood 3D: What are the best 3D features for Action Recognition?
S Hadfield, K Lebeda, R Bowden
International Journal of Computer Vision 121 (1), 95-110, 2017
192017
Exploring Causal Relationships in Visual Object Tracking
K Lebeda, S Hadfield, R Bowden
Proceedings of the IEEE International Conference on Computer Vision, 3065-3073, 2015
162015
Tracking the untrackable: How to track when your object is featureless
K Lebeda, J Matas, R Bowden
Asian Conference on Computer Vision, 347-359, 2012
152012
Stereo reconstruction using top-down cues
S Hadfield, K Lebeda, R Bowden
Computer Vision and Image Understanding 157, 206-222, 2017
102017
TMAGIC: A model-free 3D tracker
K Lebeda, S Hadfield, R Bowden
IEEE Transactions on Image Processing 26 (9), 4378-4388, 2017
52017
Dense Rigid Reconstruction from Unstructured Discontinuous Video
K Lebeda, S Hadfield, R Bowden
Proceedings of the IEEE International Conference on Computer Vision …, 2015
52015
Direct-from-Video: Unsupervised NRSfM
K Lebeda, S Hadfield, R Bowden
Computer Vision–ECCV 2016 Workshops, 578-594, 2016
32016
Robust Sampling Consensus
K Lebeda
České vysoké učení technické v Praze. Vypočetní a informační centrum., 2013
22013
The visual object tracking VOT2016 challenge results
SJ Hadfield, R Bowden, K Lebeda
Lecture Notes in Computer Science 9914, 777-823, 2016
2016
2D and 3D tracking and modelling.
K Lebeda
University of Surrey, 2016
2016
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