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Jack Valmadre
Jack Valmadre
Senior Research Fellow, AIML, University of Adelaide
Email confirmado em adelaide.edu.au - Página inicial
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Fully-convolutional siamese networks for object tracking
L Bertinetto, J Valmadre, JF Henriques, A Vedaldi, PHS Torr
European conference on computer vision, 850-865, 2016
33992016
Staple: Complementary learners for real-time tracking
L Bertinetto, J Valmadre, S Golodetz, O Miksik, PHS Torr
Proceedings of the IEEE conference on computer vision and pattern …, 2016
17592016
End-to-end representation learning for correlation filter based tracking
J Valmadre, L Bertinetto, J Henriques, A Vedaldi, PHS Torr
Proceedings of the IEEE conference on computer vision and pattern …, 2017
14782017
Learning feed-forward one-shot learners
L Bertinetto, JF Henriques, J Valmadre, PHS Torr, A Vedaldi
Advances in Neural Information Processing Systems, 523-531, 2016
4402016
Long-term tracking in the wild: A benchmark
J Valmadre, L Bertinetto, JF Henriques, R Tao, A Vedaldi, ...
Proceedings of the European conference on computer vision (ECCV), 670-685, 2018
1372018
Dense semantic correspondence where every pixel is a classifier
H Bristow, J Valmadre, S Lucey
Proceedings of the IEEE International Conference on Computer Vision, 4024-4031, 2015
612015
General trajectory prior for non-rigid reconstruction
J Valmadre, S Lucey
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012
612012
Deterministic 3D human pose estimation using rigid structure
J Valmadre, S Lucey
Computer Vision–ECCV 2010, 467-480, 2010
572010
Separable spatiotemporal priors for convex reconstruction of time-varying 3D point clouds
T Simon, J Valmadre, I Matthews, Y Sheikh
European conference on computer vision, 204-219, 2014
352014
Devon: Deformable volume network for learning optical flow
Y Lu, J Valmadre, H Wang, J Kannala, M Harandi, P Torr
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
302020
Efficient articulated trajectory reconstruction using dynamic programming and filters
J Valmadre, Y Zhu, S Sridharan, S Lucey
202012
Kronecker-markov prior for dynamic 3d reconstruction
T Simon, J Valmadre, I Matthews, Y Sheikh
IEEE transactions on pattern analysis and machine intelligence 39 (11), 2201 …, 2016
152016
Learning detectors quickly with stationary statistics
J Valmadre, S Sridharan, S Lucey
Asian Conference on Computer Vision, 99-114, 2014
12*2014
The importance of estimating object extent when tracking with correlation filters
L Bertinetto, J Valmadre, S Golodetz, O Miksik, PHS Torr
Report for the Visual Object Tracking Workshop, 2015
82015
Local metrics for multi-object tracking
J Valmadre, A Bewley, J Huang, C Sun, C Sminchisescu, C Schmid
arXiv preprint arXiv:2104.02631, 2021
72021
Closed-form solutions for low-rank non-rigid reconstruction
J Valmadre, S Sridharan, S Denman, C Fookes, S Lucey
2015 International Conference on Digital Image Computing: Techniques and …, 2015
72015
Computer Vision–ECCV 2016 Workshops. ECCV 2016
L Bertinetto, J Valmadre, JF Henriques, A Vedaldi, PHS Torr
Lecture Notes in Computer Science 9914, 2016
62016
Camera-less articulated trajectory reconstruction
Y Zhu, J Valmadre, S Lucey
6*
Learning with Neighbor Consistency for Noisy Labels
A Iscen, J Valmadre, A Arnab, C Schmid
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
32022
The VOT2015 challenge results
M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ...
ICCV Workshop, 2015
22015
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