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William Triggs
William Triggs
Senior Researcher, CNRS and University of Grenoble
Verified email at univ-grenoble-alpes.fr
Title
Cited by
Cited by
Year
Enhanced local texture feature sets for face recognition under difficult lighting conditions
X Tan, B Triggs
IEEE transactions on image processing 19 (6), 1635-1650, 2010
32402010
A factorization based algorithm for multi-image projective structure and motion
P Sturm, B Triggs
Computer Vision—ECCV'96: 4th European Conference on Computer Vision …, 1996
9581996
Scene segmentation with crfs learned from partially labeled images
B Triggs, J Verbeek
Advances in neural information processing systems 20, 2007
2322007
Feature sets and dimensionality reduction for visual object detection
SU Hussain, W Triggs
BMVC 2010-British Machine Vision Conference, 112.1-112.10, 2010
1032010
Bundle adjustment for structure from motion
W Triggs, P McLauchlan, R Hartley, A Fitzgibbon
Vision Algorithms: Theory and Practice 1883, 298-372, 2000
402000
Multiscale keypoint analysis based on complex wavelets
P Bendale, W Triggs, N Kingsbury
BMVC 2010-British Machine Vision Conference, 49.1-49.10, 2010
132010
Epipolar constraints for multiscale matching
W Triggs, P Bendale
BMVC 2010-British Machine Vision Conference, 48.1-48.10, 2010
42010
Géométrie d'images multiples
W Triggs
Institut National Polytechnique de Grenoble-INPG, 1999
41999
Structure et mouvement projectifs à partir d'images multiples par factorisation
P Sturm, W Triggs
Journées ORASIS, 175-180, 1996
31996
Reconstruction monoculaire du mouvement humain, et autres travaux 2000-2004
W Triggs
Institut National Polytechnique de Grenoble-INPG, 2005
22005
Scene Segmentation with Latent Topic Markov and Conditional Field Models and Nearest Hyperdisk Methods for High-Dimensional Classification
W Triggs
ICVGIP 2008-6th Indian Conference on Computer Vision, Graphics and Image …, 2008
2008
Human detection and motion capture
W Triggs
ICVSS 2008-International Computer Vision Summer School, 2008
2008
Scene Segmentation with Latent Topic Markov Field Models, and Classification and Dimensionality Reduction using Convex Class Models
W Triggs
Benelearn08-The Annual Belgian-Dutch Machine Learning Conference, 2008
2008
Visual Recognition and Human Motion Reconstruction
W Triggs
China-US-France Summer Courses on Machine Learning, Statistics and Computer …, 2008
2008
Machine Learning in Computer Vision: 1. Low Level Features and the Visual Signal; 2. Object Detection, Image Classification, Human Pose Analysis
W Triggs
PASCAL Machine Learning Bootcamp, 2007
2007
Monocular Human Motion Capture
W Triggs
INRIA, Sophia-Antipolis, 2005
2005
Resolving ambiguities in auto-calibration-Discussion
O Faugeras, A Zisserman, RI Hartley, T Kanade, JL Mundy, W Triggs
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND …, 1998
1998
Geometric structure and view invariant recognition-Discussion
A Zisserman, S Carlsson, JL Mundy, T Kanade, D Foster, A Fitzgibbon, ...
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND …, 1998
1998
Pictorial relief-Discussion
HC Longuet-Higgins, JJ Koenderink, W Triggs, A Fitzgibbon, D Foster, ...
PHILOS TR SOC A 356 (1740), 1085-1086, 1998
1998
Statistical models of visual shape and motion-Discussion
R Cipolla, A Blake, W Triggs, J Lasenby, M Sabin
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND …, 1998
1998
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