PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by William Triggs

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Number of EPrints submitted by this user: 33

Learning to track 3D human motion from silhouettes
Ankur Agarwal and William Triggs
In: ICML 2004, 04-08 Jul 2004, Banff, Canada.

3D Human Pose from Silhouettes by Relevance Vector Regression
Ankur Agarwal and William Triggs
In: CVPR 2004, 29 Jun - 01 Jul 2004, Washington DC, USA.

Fast SVM Approximations for Object Detection
Wolf Kienzle, Matthias Franz and Bernhard Schölkopf
In: LMCV04, 3 - 5 May 2004, Grenoble, France.

Monocular human motion capture with a mixture of regressors
William Triggs and Ankur Agarwal
In: CVPR 2005, 20-26 June 2005, San Diego, California.

Hierarchical part-based visual object categorization
Guillaume Bouchard and William Triggs
In: CVPR 2005, 20-26 June 2005, San Diego, California.

Histograms of Oriented Gradients for Human Detection
Navneet Dalal and William Triggs
In: CVPR 2005, 20-26 June 2005, San Diego, California.

The trade-off between generative and discriminative classifiers
Guillaume Bouchard and William Triggs
In: CompStat 2004, 23-27 August 2004, Prague.

Recovering 3D human pose from monocular images
Ankur Agarwal and William Triggs
IEEE Transactions on Pattern Analysis and Machine Intelligence Volume 28, Number 1, 2006.

Human Detection using Oriented Histograms of Flow and Appearance
Navneet Dalal, William Triggs and Cordelia Schmid
In: ECCV 2006, Graz(2005).

Hyperfeatures - Multilevel Local Coding for Visual Recognition
Ankur Agarwal and William Triggs
In: ECCV 2006, Graz, Austria(2005).

Multilevel Image Coding with Hyperfeatures
Ankur Agarwal and William Triggs
International Journal of Computer Vision Volume 78, Number 1, 2008.

Randomized Clustering Forests for Building Fast and Discriminative Visual Vocabularies
Frank Moosmann, William Triggs and Frederic Jurie
In: NIPS 2006, Dec 2006, Vancouver.

Sampling Strategies for Bag-of-Features Image Classification
Eric Nowak, Frederic Jurie and William Triggs
In: ECCV 2006, May 2006, Graz, Austria.

Machine Learning for Image Based Motion Capture
Ankur Agarwal
(2006) PhD thesis, Institut National Polytechnique de Grenoble.

Finding People in Images and Videos
Navneet Dalal
(2006) PhD thesis, Institut National Polytechnique de Grenoble.

Region classification with Markov field aspect models
Jakob Verbeek and William Triggs
In: IEEE Conference on Computer Vision and Pattern Recognition, 18-25 June 2007, Minneapolis, USA.

Scene Segmentation with CRFs Learned from Partially Labeled Images
Jakob Verbeek and William Triggs
In: Neural Information Processing Systems (NIPS), 3-10 Dec 2007, Vancouver, Canada.

Enhanced Local Texture Feature Sets for Face Recognition under Difficult Lighting Conditions
Xiaoyang Tan and William Triggs
In: Analysis and Modelling of Faces and Gestures, 20 Oct 2007, Rio de Janeiro, Brazil.

Fusing Gabor and LBP Feature Sets for Kernel-Based Face Recognition
Xiaoyang Tan and William Triggs
In: Analysis and Modelling of Faces and Gestures, 20 Oct 2007, Rio de Janeiro, Brazil.

Margin-based discriminant dimensionality reduction for visual recognition
Hakan Cevikalp, William Triggs, Frederic Jurie and Robi Polikar
In: CVPR 2008, 24-26 June 2008, Anchorage, Alaska.

Nearest hyperdisk methods for high-dimensional classification
Hakan Cevikalp, William Triggs and Robi Polikar
In: ICML 2008, 5-7 July 2008, Helsinki.

Manifold based local classifiers: linear and non linear approaches
Hakan Cevikalp, Diane Larlus, William Triggs, Mike Neamtu and Frederic Jurie
Journal of Signal Processing Systems 2008. ISSN 1939-8018

Enhanced Local Texture Feature Sets for Face Recognition under Difficult Lighting Conditions
Xiaoyang Tan and William Triggs
IEEE Transactions on Image Processing Volume In press, 2010.

Large Margin Classifiers Based on Convex Class Models
Hakan Cevikalp and William Triggs
In: Subspace 2009, 27 Sep 2009, Kyoto, Japan.

SAR Image Labeling with Hierarchical Markov Aspect Models
Dengxin Dai, Yang Wen and William Triggs
IEEE Transactions on Geoscience and Remote Sensing Volume In press, 2009.

Large margin classifiers based on affine hulls
Hakan Cevikalp, William Triggs, Hasan Serhan Yavuz, Yalcin Kucuk, Mahide Kucuk and Atalay Barkana
Neurocomputing Letters Volume 73, pp. 3160-3168, 2010. ISSN 0925-2312

Multiscale Keypoint Analysis based on Complex Wavelets
Pashmina Bendale, William Triggs and Nick Kingsbury
In: British Machine Vision Conference, 31 Aug - 3 Sep 2010, Aberystwyth, U.K..

Feature Sets and Dimensionality Reduction for Visual Object Detection
Sibt ul Hussain and William Triggs
In: British Machine Vision Conference, 31 Aug - 3 Sep 2010, Aberystwyth, U.K..

Face Recognition Based on Image Sets
Hakan Cevikalp and William Triggs
In: CVPR, Jun 2010, San Francisco.

Scene Segmentation with Low-dimensional Semantic Representations and Conditional Random Fields
Wen Yang, William Triggs, Dengxin Dai and Gui-Song Xia
EURASIP Journal on Advances in Signal Processing 2010.

Visual Recognition using Local Quantized Patterns
Sibt ul Hussain and William Triggs
In: IEEE Conference on Computer Vision and Pattern Recognition, 18-20 Jun 2012, Providence, RI, USA.

Efficient Object Detection using Cascades of Nearest Convex Model Classifiers
Hakan Cevikalp and William Triggs
In: IEEE Conference on Computer Vision and Pattern Recognition, 18-20 Jun 2012, Providence, RI, USA.

Machine Learning Methods for Visual Object Detection
Sibt ul Hussain
(2011) PhD thesis, University of Grenoble.