Graham Taylor

Publications

Conference Publications

Input-output Temporal Restricted Boltzmann Machines for Facial Expression Transfer
Matthew Zeiler, Graham Taylor, Leonid Sigal, Iain Matthews, and Rob Fergus (2011)
To appear in Advances in Neural Information Processing Systems 24 (NIPS).

Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
Matthew Zeiler, Graham Taylor, and Rob Fergus (2011)
Proc. of the 13th International Conference on Computer Vision (ICCV).

Learning Invarance through Imitation
Project page (with links to supplementary material)
Graham Taylor, Ian Spiro, Christoph Bregler, and Rob Fergus (2011)
Proc. of the 24th IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR).

Pose-Sensitive Embedding by Nonlinear NCA Regression
Supplementary Material (including source code)
Graham Taylor, Rob Fergus, George Williams, Ian Spiro and Christoph Bregler (2010)
Proc. of Advances in Neural Information Processing Systems (NIPS) 23

Convolutional Learning of Spatio-temporal Features
Supplementary Material
Graham Taylor, Rob Fergus, Yann LeCun and Christoph Bregler (2010)
Proc. of the 11th European Conference on Computer Vision (ECCV)

Body Motion Analysis for Multi-Modal Identity Verification
George Williams, Graham Taylor, Kirill Smolskiy and Christoph Bregler (2010)
Proc. of the 20th International Conference on Pattern Recognition (ICPR)

Dynamical Binary Latent Variable Models for 3D Human Pose Tracking
Supplementary Material (including videos and slides)
Graham Taylor, Leonid Sigal, David Fleet and Geoffrey Hinton (2010)
Proc. of the 23rd IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)

Deconvolutional Networks
Matthew Zeiler, Dilip Krishnan, Graham Taylor and Rob Fergus (2010)
Proc. of the 23rd IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)

Products of Hidden Markov Models: It Takes N>1 to Tango
Graham Taylor and Geoffrey Hinton (2009)
Proc. of the 25th Conference on Uncertainty in Artificial Intelligence (UAI)

Factored Conditional Restricted Boltzmann Machines for Modeling Motion Style
Supplementary Material (including videos and source code)
Graham Taylor and Geoffrey Hinton (2009)
Proc. of the 26th International Conference on Machine Learning (ICML)

Modeling Pigeon Behaviour Using a Conditional Restricted Boltzmann Machine
Matthew Zeiler, Graham Taylor, Niko Troje and Geoffrey Hinton (2009)
17th European Symposium on Artificial Neural Networks (ESANN)

The Recurrent Temporal Restricted Boltzmann Machine
Ilya Sutskever, Geoffrey Hinton, and Graham Taylor (2009)
Proc. of Advances in Neural Information Processing Systems (NIPS) 21

Maximum a Posteriori ICA: Applying Prior Knowledge to the Separation of Acoustic Sources
Graham Taylor, Michael Seltzer, and Alex Acero (2008)
Proc. of the IEEE International Conference on Audio, Speech and Signal Processing (ICASSP)

Modeling Human Motion Using Binary Latent Variables
Supplementary Material
Graham Taylor, Geoffrey Hinton, and Sam Roweis (2007)
Proc. of Advances in Neural Information Processing Systems (NIPS) 19

Reinforcement Learning for Parameter Control of Text Detection in Images from Video Sequences
Graham Taylor and Christian Wolf (2004)
Proc. of the 1st International Conference on Information & Communication Technologies

A Reinforcement Learning Framework for Parameter Control in Computer Vision Applications
Graham Taylor (2004)
Proc. of the 1st Canadian Conference on Computer and Robot Vision

Journal Publications

Two Distributed-State Models for Generating High-Dimensional Time Series
Supplementary Material (including source code)
Graham Taylor, Geoffrey Hinton, and Sam Roweis (2011)
Journal of Machine Learning Research 12(Mar):1025--1068.
Note that this paper expands on two earlier works: (NIPS 2006), (ICML 2009).

Reinforced Contrast Adaptation
Hamid Tizhoosh, and Graham Taylor
International Journal of Image and Graphics 6(3): 377-392 (2006)

Hurdle Preflight in Springboard Diving: A Case of Diminishing Returns (Abstract)
Doris Miller, Alexandra Zecevic, and Graham Taylor
Research Quarterly for Exercise and Sport 73: 134-145 (2002)

Refereed Workshop Papers

3D Human Pose and Shape Estimation from Multi-view Imagery
Atul Kanaujia, Niels Haering, Graham Taylor and Chris Bregler (2011)
IEEE CVPR Workshop on Human Activity Understanding from 3D Data (HAU3D)

Hands by Hand: Crowd-Sourced Motion Tracking for Gesture Annotation
Ian Spiro, Graham Taylor, George Williams and Christoph Bregler (2010)
IEEE CVPR Workshop on Advancing Computer Vision with Humans in the Loop (ACVHL)

Refereed Extended Abstracts

Metric Learning by Active Crowd-sourcing
Graham Taylor and Ian Spiro and Chris Bregler and George Williams (2011)
The Learning Workshop (Snowbird)

Learning local spatio-temporal features for activity recognition
Graham Taylor and Christoph Bregler (2010)
The Learning Workshop (Snowbird)

Deconvolutional Networks for Feature Learning
Matthew Zeiler, Dilip Krishnan, Graham Taylor and Rob Fergus (2010)
The Learning Workshop (Snowbird)

Identifying People Based on their Motion Signature
George Williams, Graham Taylor, Kirill Smolskiy and Christoph Bregler (2010)
The Learning Workshop (Snowbird)

Deep Generative Models for Modeling Animate Motion
Graham Taylor, Geoffrey Hinton, and Sam Roweis (2008)
Proc. 4th International Symposium on Adaptive Motion of Animals and Machines (AMAM)

Non-refereed Publications

Composable, distributed-state models for high-dimensional time series
Graham Taylor
PhD thesis, University of Toronto (2009)

Compact Modeling of High-Dimensional Time-Series
Graham Taylor
Depth Oral Paper, University of Toronto (2008)

Reinforcement Learning for Parameter Control of Image-Based Applications
Graham Taylor
MASc Thesis, University of Waterloo (2004)