PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

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PASCAL Network

Full NamePhilip HS Torr
TitleProfessor
SiteUniversity of Oxford
StatusResearcher
Tel44 1865 484 592
Fax44 1865 484 545
WWWhttp://cms.brookes.ac.uk/staff/PhilipTorr/

Research Interests
Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
Machine Vision
Information Retrieval & Textual Information Access
User Modelling for Computer Human Interaction
Publications

Number of records: 73.

A Tiered Move-making Algorithm for General Pairwise MRF’s Vibhav Vineet, Jonathan Warrell and Philip Torr Conference or Workshop Item (June 2012)
Efficient Online Structured Output Learning for Keypoint-Based Object Tracking Sam Hare, Amir Saffari and Philip Torr Conference or Workshop Item (June 2012)
Ambiguity Modeling in Latent Spaces Carl Henrik Ek, Jon Rihan, Philip Torr, Gregory Rogez and Neil Lawrence Conference or Workshop Item (September 2008)
An analysis of convex relaxations for MAP estimation Mudigonda Pawan Kumar, Vladimir Kolmogorov and Philip Torr Conference or Workshop Item (2008)
An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs Mudigonda Pawan Kumar, V. Kolmogorov and Philip Torr Article (January 2009)
An invariant large margin nearest neighbour classifier Mudigonda Pawan Kumar, Philip Torr and Andrew Zisserman Conference or Workshop Item (October 2007)
An object category specific MRF for segmentation Mudigonda Pawan Kumar, Philip Torr and Andrew Zisserman Book Section (2006)
Associative Hierarchical CRFs for Object Class Image Segmentation Lubor Ladicky, Chris Russell, Pushmeet Kohli and Philip Torr Conference or Workshop Item (October 2009)
Building models of regular scenes from structure and motion Anton Hengel, Anthony Dick, Thorsten Thormahlen, Ben Ward and Philip Torr Conference or Workshop Item (September 2006)
Combining Appearance and Structure from Motion Features for Road Scene Understanding Paul Sturgess, Karteek Alahari, Lubor Ladicky and Philip Torr Conference or Workshop Item Item not available online. (September 2009)
Discrete minimum ratio curves and surfaces Fred Nicolls and Philip Torr Conference or Workshop Item (June 2010)
Dynamic Graph Cuts for Efficient Inference in Markov Random Fields Pushmeet Kohli and Philip Torr Article (December 2007)
Dynamic Hybrid Algorithms for MAP Inference in Discrete MRFs Karteek Alahari, Pushmeet Kohli and Philip Torr Article (October 2010)
Efficient dense stereo with occlusions for new-view-synthesis by four-state dynamic programming A. Criminisi, J. Shotton, A. Blake, C. Rother and Philip Torr Article (2006)
Efficient Discriminative Learning of Parts-based Models M. Pawan Kumar, Philip Torr and Andrew Zisserman Conference or Workshop Item (September 2009)
Efficient Piecewise Learning for Conditional Random Fields Karteek Alahari, Chris Russell and Philip Torr Conference or Workshop Item (June 2010)
Efficiently Solving Convex Relaxations for MAP Estimation M. Pawan Kumar and Philip Torr Conference or Workshop Item (July 2008)
Efficiently Solving Dynamic Markov Random Fields using Graph Cuts Pushmeet Kohli and Philip Torr Conference or Workshop Item Item not available online. (15 October 2005)
Efficient Discriminative Learning of Parametric Nearest Neighbor Classifiers Ziming Zhang, Paul Sturgess, Sunando Sengupta, Nigel Crook and Philip Torr Conference or Workshop Item (June 2012)
Efficient Discriminative Learning of Parametric Nearest Neighbor Classifiers Ziming Zhang, Paul Sturgess, Sunando Sengupta, Nigel Crook and Philip Torr Conference or Workshop Item (June 2012)
Exact and Approximate Inference in Associative Hierarchical Random Fields using Graph-Cuts Chris Russell, Lubor Ladicky, Pushmeet Kohli and Philip Torr Conference or Workshop Item (July 2010)
Exact Inference in Multi-label CRFs with Higher Order Cliques Srikumar Ramalingam, Pushmeet Kohli, Karteek Alahari and Philip Torr Conference or Workshop Item (2008)
Extending Pictorial Structures for Object Recognition M. Pawan Kumar, Philip Torr and Andrew Zisserman Conference or Workshop Item (September 2004)
Fast Human Pose Detection Using Randomized Hierarchical Cascades of Rejectors Grégory Rogez, Jonathan Rihan, Carlos Orrite-Uruñuela and Philip Torr Article (2012)
Fast memory-efficient generalized belief propagation Mudigonda Pawan Kumar and Philip Torr Conference or Workshop Item (May 2006)
Filter-based Mean-Field Inference for Random Fields with Higher-Order Terms and Product Label-Spaces Vibhav Vineet, Jonathan Warrell and Philip Torr Conference or Workshop Item (2012)
Gaussian process latent variable models for human pose estimation Carl Henrik Ek, Philip Torr and Neil Lawrence Conference or Workshop Item (07 June 0028)
Global Stereo Reconstruction under Second-Order Smoothness Priors Oliver Woodford, Philip Torr, Ian Reid and Andrew Fitzgibbon Article (December 2009)
Graph Cut based Inference with Co-occurrence Statistics Lubor Ladicky, Chris Russell, Pushmeet Kohli and Philip Torr Conference or Workshop Item (September 2010)
Hand detection using multiple proposals Arpit Mittal, Andrew Zisserman and Philip Torr Conference or Workshop Item (2011)
Hierarchical part-based human body pose estimation Ramanan Navaratnam, Arasanathan Thayananthan, Philip Torr and Roberto Cipolla Conference or Workshop Item (September 2005)
Human Instance Segmentation from Video using Detector-based Conditional Random Fields Vibhav Vineet, Jonathan Warrell, Lubor Ladicky and Philip Torr Conference or Workshop Item (2011)
Improved Initialisation and Gaussian Mixture Pairwise Terms for Dense Random Fields with Mean-field Inference Vibhav Vineet, Jonathan Warrell, Paul Sturgess and Philip Torr Conference or Workshop Item (2012)
Improved Moves for Truncated Convex Models Pawan Kumar, Olga Veksler and Philip Torr Article (January 2011)
Improved Moves for Truncated Convex Models Mudigonda Pawan Kumar and Philip Torr Conference or Workshop Item (2008)
Inference Methods for CRFs with Co-occurrence Statistics Lubor Ladicky, Chris Russell, Pushmeet Kohli and Philip Torr Article (20 January 2011)
Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction Lubor Ladicky, Paul Sturgess, Chris Russell, Sunando Sengupta, Yalin Bastanlar, William Clocksin and Philip Torr Conference or Workshop Item (September 2010)
Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction Lubor Ladicky, Paul Sturgess, Chris Russell, Sunando Sengupta, Yalin Bastanlar, William Clocksin and Philip Torr Article (21 December 2010)
Latent SVMs for Human Detection with a Locally Affine Deformation Field Lubor Ladicky, Philip Torr and Andrew Zisserman Conference or Workshop Item (2012)
Learning Anchor Planes for Classification Ziming Zhang, Lubor Ladicky, Philip Torr and Amir Saffari Conference or Workshop Item (December 2011)
Learning class-specific edges for object detection and segmentation Mukta Prasad, Andrew Zisserman, Andrew Fitzgibbon, Mudigonda Pawan Kumar and Philip Torr Conference or Workshop Item (December 2006)
Learning discriminative space-time actions from weakly labelled videos Michael Sapienza, Fabio Cuzzolin and Philip Torr Conference or Workshop Item (2012)
Learning layered motion segmentations of video Mudigonda Pawan Kumar, Philip Torr and Andrew Zisserman Conference or Workshop Item (2005)
Learning Layered Motion Segmentations of Video Mudigonda Pawan Kumar, Philip Torr and Andrew Zisserman Article (2008)
Learning Layered Pictorial Structures from Video M. Pawan Kumar, Philip Torr and Andrew Zisserman Conference or Workshop Item (December 2004)
Linear Support Vector Machines Lubor Ladicky and Philip Torr Conference or Workshop Item (2011)
Locally Multiple-Instance Learning with Structured Bag Models Jonathan Warrell and Philip Torr Conference or Workshop Item (2011)
Measuring Uncertainty in Graph Cut Solutions Pushmeet Kohli and Philip Torr Article (October 2008)
Measuring uncertainty in graph cut solutions: efficiently computing min-marginal energies using dynamic graph cuts Pushmeet Kohli and Philip Torr Conference or Workshop Item (May 2006)
Model-based hand tracking using a hierarchical bayesian filter B. Stenger, A. Thayananthan, Philip Torr and R. Cipolla Article (2006)
Multi-view stereo via volumetric graph cuts George Vogiatzis, Philip Torr and Roberto Cipolla Conference or Workshop Item (June 2005)
Multivariate relevance vector machines for tracking A. Thayananthan, R. Navaratnam, B. Stenger, Philip Torr and R. Cipolla Conference or Workshop Item (May 2006)
Obj Cut Mudigonda Pawan Kumar, Philip Torr and Andrew Zisserman Conference or Workshop Item Item not available online. (June 2005)
OBJCUT for face detection Jonathan Rihan, Pushmeet Kohli and Philip Torr Conference or Workshop Item (December 2006)
OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues M. Pawan Kumar, Philip Torr and Andrew Zisserman Article (March 2010)
On Partial Optimality in Multi-label MRFs Pushmeet Kohli, Alexander Shekhovtsov, Carsten Rother, Vladimir Kolmogorov and Philip Torr Conference or Workshop Item (July 2008)
P³ & Beyond: Move Making Algorithms for Solving Higher Order Functions Pushmeet Kohli, M. Pawan Kumar and Philip Torr Article (September 2009)
PoseCut: simultaneous segmentation and 3D pose estimation of humans using dynamic graph-cuts Matthieu Bray, Pushmeet Kohli and Philip Torr Conference or Workshop Item (May 2006)
Proposal Generation for Object Detection using Cascaded Ranking SVMs Ziming Zhang, Jonathan Warrell and Philip Torr Conference or Workshop Item (2011)
Proposal Generation for Object Detection using Cascaded Ranking SVMs Ziming Zhang, Jonathan Warrell and Philip Torr Conference or Workshop Item (2011)
Randomized trees for human pose detection Gregory Rogez, Jonathan Rihan, Srikumar Ramalingam, Carlos Orrite and Philip Torr Conference or Workshop Item (June 2008)
Rapid interactive modelling from video with graph cuts Anton Hengel, Anthony Dick, Thorsten Thormahlen, Ben Ward and Philip Torr Conference or Workshop Item (September 2006)
Reduce, Reuse & Recycle: Efficiently Solving Multi-Label MRFs Karteek Alahari, Pushmeet Kohli and Philip Torr Conference or Workshop Item (June 2008)
Robust Higher Order Potentials for Enforcing Label Consistency Pushmeet Kohli, Lubor Ladicky and Philip Torr Article (May 2009)
Scalable Cascade Inference for Semantic Image Segmentation Paul Sturgess, Lubor Ladicky, Nigel Crook and Philip Torr Conference or Workshop Item (2012)
Simultaneous Segmentation and Pose Estimation of Humans Using Dynamic Graph Cuts Pushmeet Kohli, Jon Rihan, Matthieu Bray and Philip Torr Article (September 2008)
Solving markov random fields using second order cone programming relaxations Mudigonda Pawan Kumar, Philip Torr and Andrew Zisserman Conference or Workshop Item (June 2006)
Struck: Structured Output Tracking with Kernels Sam Hare, Amir Saffari and Philip Torr Conference or Workshop Item Item not available online. (November 2011)
StyP-Boost: A Bilinear Boosting Algorithm for Learning Style-Parameterized Classifiers Jonathan Warrell, Simon Prince and Philip Torr Conference or Workshop Item (2010)
Taxonomic Multi-class Prediction and Person Layout using Efficient Structured Ranking Arpit Mittal, Matthew Blaschko, Andrew Zisserman and Philip Torr Conference or Workshop Item (2012)
The Light-Path Less Traveled S Ramalingham, Sofien Bouaziz, Peter Sturm and Philip Torr Conference or Workshop Item (2011)
Using strong shape priors for stereo Yunda Sun, Pushmeet Kohli, Matthieu Bray and Philip Torr Conference or Workshop Item (December 2006)
What, Where & How Many? Combining Object Detectors and CRFs Lubor Ladicky, Paul Sturgess, Karteek Alahari, Chris Russell and Philip Torr Conference or Workshop Item (September 2010)

This list was generated on Tue Sep 2 13:33:44 BST 2014.