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Hierarchical classification at multiple operating points
Jack Valmadre
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Learning with neighbor consistency for noisy labels
Ahmet Iscen,
Jack Valmadre,
Anurag Arnab and
Cordelia Schmid
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Local metrics for multi-object tracking
Jack Valmadre,
Alex Bewley,
Jonathan Huang,
Chen Sun,
Cristian Sminchisescu and
Cordelia Schmid
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Jack Valmadre*,
Luca Bertinetto*,
João F. Henriques,
Ran Tao,
Andrea Vedaldi,
Arnold W. M. Smeulders,
Philip H. S. Torr and
Efstratios Gavves*
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End-to-end representation learning for Correlation Filter based tracking
Jack Valmadre*,
Luca Bertinetto*,
João F. Henriques,
Andrea Vedaldi and
Philip H. S. Torr
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Learning feed-forward one-shot learners
Luca Bertinetto*,
João F. Henriques*,
Jack Valmadre*,
Philip H. S. Torr and
Andrea Vedaldi
-
Luca Bertinetto*,
Jack Valmadre*,
João F. Henriques,
Andrea Vedaldi and
Philip H.S. Torr
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Luca Bertinetto,
Jack Valmadre,
Stuart Golodetz,
Ondrej Miksik and
Philip H. S. Torr
CVPR 2016
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Dense semantic correspondence where every pixel is a classifier
Hilton Bristow,
Jack Valmadre and
Simon Lucey
ICCV 2015 (oral)
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Closed-form solutions for low-rank non-rigid reconstruction
Jack Valmadre,
Sridha Sridharan,
Simon Denman,
Clinton Fookes and
Simon Lucey
DICTA 2015
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Learning detectors quickly with stationary statistics
Jack Valmadre,
Sridha Sridharan and
Simon Lucey
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Tomas Simon,
Jack Valmadre,
Iain Matthews and
Yaser Sheikh
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Efficient articulated trajectory reconstruction using dynamic programming and filters
Jack Valmadre,
Yingying Zhu,
Sridha Sridharan and
Simon Lucey
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Jack Valmadre and
Simon Lucey
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Graph rigidity for near-coplanar structure from motion
Jack Valmadre,
Ben Upcroft,
Sridha Sridharan and
Simon Lucey
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Deterministic 3D human pose estimation using rigid structure
Jack Valmadre and
Simon Lucey