Philip H. S. Torr

Grégory Rogez, Jonathan Rihan, Carlos Orrite-Uruñuela, Philip H. S. Torr: Fast Human Pose Detection Using Randomized Hierarchical Cascades of Rejectors. International Journal of Computer Vision 99(1): 25-52 (2012)

Lubor Ladicky, Paul Sturgess, Christopher Russell, Sunando Sengupta, Yalin Bastanlar, William F. Clocksin, Philip H. S. Torr: Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction. International Journal of Computer Vision 100(2): 122-133 (2012)

Glenn Sheasby, Julien Valentin, Nigel Crook, Philip H. S. Torr: A Robust Stereo Prior for Human Segmentation. ACCV (2) 2012: 94-107

Lubor Ladicky, Philip H. S. Torr, Andrew Zisserman: Latent SVMs for Human Detection with a Locally Affine Deformation Field. BMVC 2012: 1-11

Michael Sapienza, Fabio Cuzzolin, Philip H. S. Torr: Learning discriminative space-time actions from weakly labelled videos. BMVC 2012: 1-12

Paul Sturgess, Lubor Ladicky, Nigel Crook, Philip H. S. Torr: Scalable Cascade Inference for Semantic Image Segmentation. BMVC 2012: 1-10

Vibhav Vineet, Jonathan Warrell, Paul Sturgess, Philip H. S. Torr: Improved Initialization and Gaussian Mixture Pairwise Terms for Dense Random Fields with Mean-field Inference. BMVC 2012: 1-11

Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr: A tiered move-making algorithm for general pairwise MRFs. CVPR 2012: 1632-1639

Sam Hare, Amir Saffari, Philip H. S. Torr: Efficient online structured output learning for keypoint-based object tracking. CVPR 2012: 1894-1901

Ziming Zhang, Paul Sturgess, Sunando Sengupta, Nigel Crook, Philip H. S. Torr: Efficient discriminative learning of parametric nearest neighbor classifiers. CVPR 2012: 2232-2239

Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr: Filter-Based Mean-Field Inference for Random Fields with Higher-Order Terms and Product Label-Spaces. ECCV (5) 2012: 31-44

Arpit Mittal, Matthew B. Blaschko, Andrew Zisserman, Philip H. S. Torr: Taxonomic Multi-class Prediction and Person Layout Using Efficient Structured Ranking. ECCV (2) 2012: 245-258

Sunando Sengupta, Paul Sturgess, Lubor Ladicky, Philip H. S. Torr: Automatic dense visual semantic mapping from street-level imagery. IROS 2012: 857-862

Christopher Russell, Lubor Ladicky, Pushmeet Kohli, Philip H. S. Torr: Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts. CoRR abs/1203.3512 (2012)

M. Pawan Kumar, Olga Veksler, Philip H. S. Torr: Improved Moves for Truncated Convex Models. Journal of Machine Learning Research 12: 31-67 (2011)

Arpit Mittal, Andrew Zisserman, Philip H. S. Torr: Hand detection using multiple proposals. BMVC 2011: 1-11

Vibhav Vineet, Jonathan Warrell, Lubor Ladicky, Philip H. S. Torr: Human Instance Segmentation from Video using Detector-based Conditional Random Fields. BMVC 2011: 1-11

Ziming Zhang, Jonathan Warrell, Philip H. S. Torr: Proposal generation for object detection using cascaded ranking SVMs. CVPR 2011: 1497-1504

Srikumar Ramalingam, Sofien Bouaziz, Peter F. Sturm, Philip H. S. Torr: The light-path less traveled. CVPR 2011: 3145-3152

Jonathan Warrell, Philip H. S. Torr: Multiple-Instance Learning with Structured Bag Models. EMMCVPR 2011: 369-384

Sam Hare, Amir Saffari, Philip H. S. Torr: Struck: Structured output tracking with kernels. ICCV 2011: 263-270

Lubor Ladicky, Philip H. S. Torr: Locally Linear Support Vector Machines. ICML 2011: 985-992

Ziming Zhang, Lubor Ladicky, Philip H. S. Torr, Amir Saffari: Learning Anchor Planes for Classification. NIPS 2011: 1611-1619

Srikumar Ramalingam, Christopher Russell, Lubor Ladicky, Philip H. S. Torr: Efficient Minimization of Higher Order Submodular Functions using Monotonic Boolean Functions. CoRR abs/1109.2304 (2011)

M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman: OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues. IEEE Trans. Pattern Anal. Mach. Intell. 32(3): 530-545 (2010)

Karteek Alahari, Pushmeet Kohli, Philip H. S. Torr: Dynamic Hybrid Algorithms for MAP Inference in Discrete MRFs. IEEE Trans. Pattern Anal. Mach. Intell. 32(10): 1846-1857 (2010)

Lubor Ladicky, Paul Sturgess, Christopher Russell, Sunando Sengupta, Yalin Bastanlar, William F. Clocksin, Philip H. S. Torr: Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction. BMVC 2010: 1-11

Jonathan Warrell, Philip H. S. Torr, Simon Prince: StyP-Boost: A Bilinear Boosting Algorithm for Learning Style-Parameterized Classifiers. BMVC 2010: 1-11

Karteek Alahari, Christopher Russell, Philip H. S. Torr: Efficient piecewise learning for conditional random fields. CVPR 2010: 895-901

Fred Nicolls, Philip H. S. Torr: Discrete minimum ratio curves and surfaces. CVPR 2010: 2133-2140

Lubor Ladicky, Christopher Russell, Pushmeet Kohli, Philip H. S. Torr: Graph Cut Based Inference with Co-occurrence Statistics. ECCV (5) 2010: 239-253

Lubor Ladicky, Paul Sturgess, Karteek Alahari, Christopher Russell, Philip H. S. Torr: What, Where and How Many? Combining Object Detectors and CRFs. ECCV (4) 2010: 424-437

Christopher Russell, Lubor Ladicky, Pushmeet Kohli, Philip H. S. Torr: Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts. UAI 2010: 501-508

Pushmeet Kohli, Philip H. S. Torr: Dynamic Graph Cuts and Their Applications in Computer Vision. Computer Vision: Detection, Recognition and Reconstruction 2010: 51-108

Rama Chellappa, Padmanabhan Anandan, A. N. Rajagopalan, P. J. Narayanan, Philip H. S. Torr (Eds.): Seventh Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP '10, Chennai, India, December 12-15, 2010. ACM 2010, isbn 978-1-4503-0060-5

Pushmeet Kohli, Lubor Ladicky, Philip H. S. Torr: Robust Higher Order Potentials for Enforcing Label Consistency. International Journal of Computer Vision 82(3): 302-324 (2009)

M. Pawan Kumar, Vladimir Kolmogorov, Philip H. S. Torr: An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs. Journal of Machine Learning Research 10: 71-106 (2009)

Pushmeet Kohli, M. Pawan Kumar, Philip H. S. Torr: P³ & Beyond: Move Making Algorithms for Solving Higher Order Functions. IEEE Trans. Pattern Anal. Mach. Intell. 31(9): 1645-1656 (2009)

Oliver J. Woodford, Philip H. S. Torr, Ian D. Reid, Andrew W. Fitzgibbon: Global Stereo Reconstruction under Second-Order Smoothness Priors. IEEE Trans. Pattern Anal. Mach. Intell. 31(12): 2115-2128 (2009)

Paul Sturgess, Karteek Alahari, Lubor Ladicky, Philip H. S. Torr: Combining Appearance and Structure from Motion Features for Road Scene Understanding. BMVC 2009: 1-11

M. Pawan Kumar, Andrew Zisserman, Philip H. S. Torr: Efficient discriminative learning of parts-based models. ICCV 2009: 552-559

Lubor Ladicky, Christopher Russell, Pushmeet Kohli, Philip H. S. Torr: Associative hierarchical CRFs for object class image segmentation. ICCV 2009: 739-746

Pushmeet Kohli, Philip H. S. Torr: Measuring uncertainty in graph cut solutions. Computer Vision and Image Understanding 112(1): 30-38 (2008)

M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman: Learning Layered Motion Segmentations of Video. International Journal of Computer Vision 76(3): 301-319 (2008)

Pushmeet Kohli, Jonathan Rihan, Matthieu Bray, Philip H. S. Torr: Simultaneous Segmentation and Pose Estimation of Humans Using Dynamic Graph Cuts. International Journal of Computer Vision 79(3): 285-298 (2008)

George Vogiatzis, Philip H. S. Torr, Steven M. Seitz, Roberto Cipolla: Reconstructing relief surfaces. Image Vision Comput. 26(3): 397-404 (2008)

Arasanathan Thayananthan, Ramanan Navaratnam, Björn Stenger, Philip H. S. Torr, Roberto Cipolla: Pose estimation and tracking using multivariate regression. Pattern Recognition Letters 29(9): 1302-1310 (2008)

Ali Shahrokni, Christopher Mei, Philip H. S. Torr, Ian D. Reid: From Visual Query to Visual Portrayal. BMVC 2008: 1-10

Karteek Alahari, Pushmeet Kohli, Philip H. S. Torr: Reduce, reuse & recycle: Efficiently solving multi-label MRFs. CVPR 2008

Pushmeet Kohli, Lubor Ladicky, Philip H. S. Torr: Robust higher order potentials for enforcing label consistency. CVPR 2008

Srikumar Ramalingam, Pushmeet Kohli, Karteek Alahari, Philip H. S. Torr: Exact inference in multi-label CRFs with higher order cliques. CVPR 2008

Grégory Rogez, Jonathan Rihan, Srikumar Ramalingam, Carlos Orrite, Philip H. S. Torr: Randomized trees for human pose detection. CVPR 2008

Oliver J. Woodford, Philip H. S. Torr, Ian D. Reid, Andrew W. Fitzgibbon: Global stereo reconstruction under second order smoothness priors. CVPR 2008

Yogarajah Pratheepan, Philip H. S. Torr, Joan V. Condell, Girijesh Prasad: Body Language Based Individual Identification in Video Using Gait and Actions. ICISP 2008: 368-377

Pushmeet Kohli, Alexander Shekhovtsov, Carsten Rother, Vladimir Kolmogorov, Philip H. S. Torr: On partial optimality in multi-label MRFs. ICML 2008: 480-487

M. Pawan Kumar, Philip H. S. Torr: Efficiently solving convex relaxations for MAP estimation. ICML 2008: 680-687

Carl Henrik Ek, Jonathan Rihan, Philip H. S. Torr, Grégory Rogez, Neil D. Lawrence: Ambiguity Modeling in Latent Spaces. MLMI 2008: 62-73

M. Pawan Kumar, Philip H. S. Torr: Improved Moves for Truncated Convex Models. NIPS 2008: 889-896

David A. Forsyth, Philip H. S. Torr, Andrew Zisserman (Eds.): Computer Vision - ECCV 2008, 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part I. Lecture Notes in Computer Science 5302, Springer 2008, isbn 978-3-540-88681-5

David A. Forsyth, Philip H. S. Torr, Andrew Zisserman (Eds.): Computer Vision - ECCV 2008, 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part II. Lecture Notes in Computer Science 5303, Springer 2008, isbn 978-3-540-88685-3

David A. Forsyth, Philip H. S. Torr, Andrew Zisserman (Eds.): Computer Vision - ECCV 2008, 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part III. Lecture Notes in Computer Science 5304, Springer 2008, isbn 978-3-540-88689-1

David A. Forsyth, Philip H. S. Torr, Andrew Zisserman (Eds.): Computer Vision - ECCV 2008, 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part IV. Lecture Notes in Computer Science 5305, Springer 2008, isbn 978-3-540-88692-1

Antonio Criminisi, Andrew Blake, Carsten Rother, Jamie Shotton, Philip H. S. Torr: Efficient Dense Stereo with Occlusions for New View-Synthesis by Four-State Dynamic Programming. International Journal of Computer Vision 71(1): 89-110 (2007)

Björn Stenger, Arasanathan Thayananthan, Philip H. S. Torr, Roberto Cipolla: Estimating 3D hand pose using hierarchical multi-label classification. Image Vision Comput. 25(12): 1885-1894 (2007)

Pushmeet Kohli, Philip H. S. Torr: Dynamic Graph Cuts for Efficient Inference in Markov Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 29(12): 2079-2088 (2007)

George Vogiatzis, Carlos Hernández Esteban, Philip H. S. Torr, Roberto Cipolla: Multiview Stereo via Volumetric Graph-Cuts and Occlusion Robust Photo-Consistency. IEEE Trans. Pattern Anal. Mach. Intell. 29(12): 2241-2246 (2007)

Anton van den Hengel, Anthony R. Dick, Thorsten Thormählen, Ben Ward, Philip H. S. Torr: VideoTrace: rapid interactive scene modelling from video. ACM Trans. Graph. 26(3): 86 (2007)

Oliver J. Woodford, Ian D. Reid, Philip H. S. Torr, Andrew W. Fitzgibbon: On New View Synthesis Using Multiview Stereo. BMVC 2007: 1-10

Pushmeet Kohli, M. Pawan Kumar, Philip H. S. Torr: P3 & Beyond: Solving Energies with Higher Order Cliques. CVPR 2007

Anton van den Hengel, Anthony R. Dick, Thorsten Thormählen, Ben Ward, Philip H. S. Torr: Interactive 3D Model Completion. DICTA 2007: 175-181

Anton van den Hengel, Anthony R. Dick, Thorsten Thormählen, Ben Ward, Philip H. S. Torr: A shape hierarchy for 3D modelling from video. GRAPHITE 2007: 63-70

M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman: An Invariant Large Margin Nearest Neighbour Classifier. ICCV 2007: 1-8

Christopher Russell, Dimitris N. Metaxas, Christophe Restif, Philip H. S. Torr: Using the Pⁿ Potts model with learning methods to segment live cell images. ICCV 2007: 1-8

Carl Henrik Ek, Philip H. S. Torr, Neil D. Lawrence: Gaussian Process Latent Variable Models for Human Pose Estimation. MLMI 2007: 132-143

Pawan Mudigonda, Vladimir Kolmogorov, Philip H. S. Torr: An Analysis of Convex Relaxations for MAP Estimation. NIPS 2007

Björn Stenger, Arasanathan Thayananthan, Philip H. S. Torr, Roberto Cipolla: Model-Based Hand Tracking Using a Hierarchical Bayesian Filter. IEEE Trans. Pattern Anal. Mach. Intell. 28(9): 1372-1384 (2006)

Anton van den Hengel, Anthony R. Dick, Thorsten Thormählen, Ben Ward, Philip H. S. Torr: Hierarchical Model Fitting to 2D and 3D Data. CGIV 2006: 359-364

Anton van den Hengel, Anthony R. Dick, Thorsten Thormählen, Ben Ward, Philip H. S. Torr: Building Models of Regular Scenes from Structure and Motion. BMVC 2006: 197-206

Yunda Sun, Matthieu Bray, Arasanathan Thayananthan, B. Yuan, Philip H. S. Torr: Regression-Based Human Motion Capture From Voxel Data. BMVC 2006: 277-286

Oliver J. Woodford, Ian D. Reid, Philip H. S. Torr, Andrew W. Fitzgibbon: Fields of Experts for Image-based Rendering. BMVC 2006: 1109-1118

M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman: An Object Category Specific mrffor Segmentation. Toward Category-Level Object Recognition 2006: 596-616

M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman: Solving Markov Random Fields using Second Order Cone Programming Relaxations. CVPR (1) 2006: 1045-1052

Pushmeet Kohli, Philip H. S. Torr: Measuring Uncertainty in Graph Cut Solutions - Efficiently Computing Min-marginal Energies Using Dynamic Graph Cuts. ECCV (2) 2006: 30-43

Arasanathan Thayananthan, Ramanan Navaratnam, Björn Stenger, Philip H. S. Torr, Roberto Cipolla: Multivariate Relevance Vector Machines for Tracking. ECCV (3) 2006: 124-138

M. Pawan Kumar, Philip H. S. Torr: Fast Memory-Efficient Generalized Belief Propagation. ECCV (4) 2006: 451-463

Matthieu Bray, Pushmeet Kohli, Philip H. S. Torr: PoseCut: Simultaneous Segmentation and 3D Pose Estimation of Humans Using Dynamic Graph-Cuts. ECCV (2) 2006: 642-655

Mukta Prasad, Andrew Zisserman, Andrew W. Fitzgibbon, M. Pawan Kumar, Philip H. S. Torr: Learning Class-Specific Edges for Object Detection and Segmentation. ICVGIP 2006: 94-105

Jonathan Rihan, Pushmeet Kohli, Philip H. S. Torr: OBJCUT for Face Detection. ICVGIP 2006: 576-584

Yunda Sun, Pushmeet Kohli, Matthieu Bray, Philip H. S. Torr: Using Strong Shape Priors for Stereo. ICVGIP 2006: 882-893

Ramanan Navaratnam, Arasanathan Thayananthan, Philip H. S. Torr, Roberto Cipolla: Hierarchical Part-Based Human Body Pose Estimation. BMVC 2005

M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman: OBJ CUT. CVPR (1) 2005: 18-25

George Vogiatzis, Philip H. S. Torr, Roberto Cipolla: Multi-View Stereo via Volumetric Graph-Cuts. CVPR (2) 2005: 391-398

M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman: Learning Layered Motion Segmentation of Video. ICCV 2005: 33-40

Pushmeet Kohli, Philip H. S. Torr: Effciently Solving Dynamic Markov Random Fields Using Graph Cuts. ICCV 2005: 922-929

William F. Clocksin, Andrew W. Fitzgibbon, Philip H. S. Torr (Eds.): Proceedings of the British Machine Vision Conference 2005, Oxford, UK, September 2005. British Machine Vision Association 2005, isbn 1-901725-29-4

Anthony R. Dick, Philip H. S. Torr, Roberto Cipolla: Modelling and Interpretation of Architecture from Several Images. International Journal of Computer Vision 60(2): 111-134 (2004)

Philip H. S. Torr, Antonio Criminisi: Dense stereo using pivoted dynamic programming. Image Vision Comput. 22(10): 795-806 (2004)

Philip H. S. Torr, Andrew W. Fitzgibbon: Invariant Fitting of Two View Geometry. IEEE Trans. Pattern Anal. Mach. Intell. 26(5): 648-650 (2004)

M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman: Extending Pictorial Structures for Object Recognition. BMVC 2004: 1-10

Arasanathan Thayananthan, Ramanan Navaratnam, Philip H. S. Torr, Roberto Cipolla: Likelihood Models For Template Matching using the PDF Projection Theorem. BMVC 2004: 1-10

George Vogiatzis, Philip H. S. Torr, Steven M. Seitz, Roberto Cipolla: Reconstructing Relief Surfaces. BMVC 2004: 1-10

Bjoern Stenger, Arasanathan Thayananthan, Philip H. S. Torr, Roberto Cipolla: Hand Pose Estimation Using Hierarchical Detection. ECCV Workshop on HCI 2004: 105-116

Andrew Blake, Carsten Rother, M. Brown, Patrick Pérez, Philip H. S. Torr: Interactive Image Segmentation Using an Adaptive GMMRF Model. ECCV (1) 2004: 428-441

M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman: Learning Layered Pictorial Structures from Video. ICVGIP 2004: 158-164

Philip H. S. Torr, Colin Davidson: IMPSAC: Synthesis of Importance Sampling and Random Sample Consensus. IEEE Trans. Pattern Anal. Mach. Intell. 25(3): 354-364 (2003)

Roberto Cipolla, Bjoern Stenger, Arasanathan Thayananthan, Philip H. S. Torr: Template-Based Hand Detection and Tracking. Advanced Studies in Biometrics 2003: 114-125

Andrew W. Fitzgibbon, Philip H. S. Torr: Invariant Fitting of Two View Geometry. BMVC 2003: 1-10

Arasanathan Thayananthan, Björn Stenger, Philip H. S. Torr, Roberto Cipolla: Learning a Kinematic Prior for Tree-Based Filtering. BMVC 2003: 1-10

George Vogiatzis, Philip H. S. Torr, Roberto Cipolla: Bayesian Stochastic Mesh Optimization for 3D reconstruction. BMVC 2003: 1-10

Arasanathan Thayananthan, Bjoern Stenger, Philip H. S. Torr, Roberto Cipolla: Shape Context and Chamfer Matching in Cluttered Scenes. CVPR (1) 2003: 127-133

Antonio Criminisi, Jamie Shotton, Andrew Blake, Philip H. S. Torr: Gaze Manipulation for One-to-one Teleconferencing. ICCV 2003: 191-198

Bjoern Stenger, Arasanathan Thayananthan, Philip H. S. Torr, Roberto Cipolla: Filtering Using a Tree-Based Estimator. ICCV 2003: 1063-1070

Philip H. S. Torr: Bayesian Model Estimation and Selection for Epipolar Geometry and Generic Manifold Fitting. International Journal of Computer Vision 50(1): 35-61 (2002)

D. R. Myatt, Philip H. S. Torr, Slawomir J. Nasuto, J. Mark Bishop, R. Craddock: NAPSAC: High Noise, High Dimensional Robust Estimation - it's in the Bag. BMVC 2002: 1-10

Philip H. S. Torr, Antonio Criminisi: Dense Stereo Using Pivoted Dynamic. BMVC 2002: 1-10

Anthony R. Dick, Philip H. S. Torr, Roberto Cipolla: A Bayesian Estimation of Building Shape Using MCMC. ECCV (2) 2002: 852-866

Philip H. S. Torr, Richard Szeliski, P. Anandan: An Integrated Bayesian Approach to Layer Extraction from Image Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 23(3): 297-303 (2001)

Anthony R. Dick, Philip H. S. Torr, Simon J. Ruffle, Roberto Cipolla: Combining Single View Recognition and Multiple View Stereo for Architectural Scenes. ICCV 2001: 268-274

Sami Romdhani, Philip H. S. Torr, Bernhard Schölkopf, Andrew Blake: Computationally Efficient Face Detection. ICCV 2001: 695-700

Philip H. S. Torr, Andrew Zisserman: MLESAC: A New Robust Estimator with Application to Estimating Image Geometry. Computer Vision and Image Understanding 78(1): 138-156 (2000)

Anthony R. Dick, Philip H. S. Torr, Roberto Cipolla: Automatic 3D Modelling of Architecture. BMVC 2000: 1-10

Philip H. S. Torr, Anthony R. Dick, Roberto Cipolla: Layer Extraction with a Bayesian Model of Shapes. ECCV (2) 2000: 273-289

Frederik Schaffalitzky, Andrew Zisserman, Richard I. Hartley, Philip H. S. Torr: A Six Point Solution for Structure and Motion. ECCV (1) 2000: 632-648

Philip H. S. Torr, Colin Davidson: IMPSAC: Synthesis of Importance Sampling and Random Sample Consensus. ECCV (2) 2000: 819-833

Philip H. S. Torr, Andrew W. Fitzgibbon, Andrew Zisserman: The Problem of Degeneracy in Structure and Motion Recovery from Uncalibrated Image Sequences. International Journal of Computer Vision 32(1): 27-44 (1999)

Philip H. S. Torr, Richard Szeliski, P. Anandan: An Integrated Bayesian Approach to Layer Extraction from Image Sequences. ICCV 1999: 983-990

Philip H. S. Torr, Andrew Zisserman: Feature Based Methods for Structure and Motion Estimation. Workshop on Vision Algorithms 1999: 278-294

Philip H. S. Torr: Model Selection for Two View Geometry: A Review. Shape, Contour and Grouping in Computer Vision 1999: 277-301

Philip H. S. Torr, Andrew Zisserman, Stephen J. Maybank: Robust Detection of Degenerate Configurations while Estimating the Fundamental Matrix. Computer Vision and Image Understanding 71(3): 312-333 (1998)

Philip H. S. Torr, Andrew Zisserman: Concerning Bayesian Motion Segmentation, Model, Averaging, Matching and the Trifocal Tensor. ECCV (1) 1998: 511-527

Philip H. S. Torr, Andrew W. Fitzgibbon, Andrew Zisserman: Maintaining Multiple Motion Model Hypotheses Through Many Views to Recover Matching and Structure. ICCV 1998: 485-491

Philip H. S. Torr, Andrew Zisserman: Robust Computation and Parametrization of Multiple View Relations. ICCV 1998: 727-732

Richard Szeliski, Philip H. S. Torr: Geometrically Constrained Structure from Motion: Points on Planes. SMILE 1998: 171-186

Philip H. S. Torr, David W. Murray: The Development and Comparison of Robust Methods for Estimating the Fundamental Matrix. International Journal of Computer Vision 24(3): 271-300 (1997)

Philip H. S. Torr, Andrew Zisserman: Robust parameterization and computation of the trifocal tensor. Image Vision Comput. 15(8): 591-605 (1997)

Philip H. S. Torr, Andrew Zisserman: Performance characterization of fundamental matrix estimation under image degradation. Mach. Vis. Appl. 9(5/6): 321-333 (1997)

Philip H. S. Torr: An Assessment of Information Criteria for Motion Model Selection. CVPR 1997: 47-52

Philip H. S. Torr, Andrew Zisserman: Robust Parameterization and Computation of the Trifocal Tensor. BMVC 1996: 1-10

Paul A. Beardsley, Philip H. S. Torr, Andrew Zisserman: 3D Model Acquisition from Extended Image Sequences. ECCV (2) 1996: 683-695

Philip H. S. Torr, Andrew Zisserman, Stephen J. Maybank: Robust Detection of Degenerate Configurations for the Fundamental Matrix. ICCV 1995: 1037-

Philip H. S. Torr, Paul A. Beardsley, David W. Murray: Robust Vision. BMVC 1994: 1-10

Philip H. S. Torr, David W. Murray: Stochastic Motion Clustering. ECCV (2) 1994: 328-337

Philip H. S. Torr, David W. Murray: Statistical detection of independent movement from a moving camera. Image Vision Comput. 11(4): 180-187 (1993)

Philip H. S. Torr, David W. Murray: Statistical Detection of Independent Movement from a Moving Camera. BMVC 1992: 1-10

Philip H. S. Torr, T. Wong, David W. Murray, Andrew Zisserman: Cooperating Motion Processes. BMVC 1991: 1-6