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Philip H. S. Torr: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Anton van den Hengel, Anthony R. Dick, Thorsten Thormählen, Ben Ward, Philip H. S. Torr
    Hierarchical Model Fitting to 2D and 3D Data. [Citation Graph (0, 0)][DBLP]
    CGIV, 2006, pp:359-364 [Conf]
  2. Roberto Cipolla, Bjoern Stenger, Arasanathan Thayananthan, Philip H. S. Torr
    Template-Based Hand Detection and Tracking. [Citation Graph (0, 0)][DBLP]
    Advanced Studies in Biometrics, 2003, pp:114-125 [Conf]
  3. Anthony R. Dick, Philip H. S. Torr, Roberto Cipolla
    Automatic 3D Modelling of Architecture. [Citation Graph (0, 0)][DBLP]
    BMVC, 2000, pp:- [Conf]
  4. 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. [Citation Graph (0, 0)][DBLP]
    BMVC, 2002, pp:- [Conf]
  5. Philip H. S. Torr, Antonio Criminisi
    Dense Stereo Using Pivoted Dynamic. [Citation Graph (0, 0)][DBLP]
    BMVC, 2002, pp:- [Conf]
  6. Philip H. S. Torr, Andrew Zisserman
    Robust Parameterization and Computation of the Trifocal Tensor. [Citation Graph (0, 0)][DBLP]
    BMVC, 1996, pp:- [Conf]
  7. M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman
    OBJ CUT. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2005, pp:18-25 [Conf]
  8. M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman
    Solving Markov Random Fields using Second Order Cone Programming Relaxations. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2006, pp:1045-1052 [Conf]
  9. Arasanathan Thayananthan, Bjoern Stenger, Philip H. S. Torr, Roberto Cipolla
    Shape Context and Chamfer Matching in Cluttered Scenes. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2003, pp:127-133 [Conf]
  10. Philip H. S. Torr
    An Assessment of Information Criteria for Motion Model Selection. [Citation Graph (0, 0)][DBLP]
    CVPR, 1997, pp:47-52 [Conf]
  11. George Vogiatzis, Philip H. S. Torr, Roberto Cipolla
    Multi-View Stereo via Volumetric Graph-Cuts. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2005, pp:391-398 [Conf]
  12. Paul A. Beardsley, Philip H. S. Torr, Andrew Zisserman
    3D Model Acquisition from Extended Image Sequences. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 1996, pp:683-695 [Conf]
  13. Andrew Blake, Carsten Rother, M. Brown, Patrick Pérez, Philip H. S. Torr
    Interactive Image Segmentation Using an Adaptive GMMRF Model. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 2004, pp:428-441 [Conf]
  14. Matthieu Bray, Pushmeet Kohli, Philip H. S. Torr
    PoseCut: Simultaneous Segmentation and 3D Pose Estimation of Humans Using Dynamic Graph-Cuts. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 2006, pp:642-655 [Conf]
  15. Anthony R. Dick, Philip H. S. Torr, Roberto Cipolla
    A Bayesian Estimation of Building Shape Using MCMC. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 2002, pp:852-866 [Conf]
  16. M. Pawan Kumar, Philip H. S. Torr
    Fast Memory-Efficient Generalized Belief Propagation. [Citation Graph (0, 0)][DBLP]
    ECCV (4), 2006, pp:451-463 [Conf]
  17. Pushmeet Kohli, Philip H. S. Torr
    Measuring Uncertainty in Graph Cut Solutions - Efficiently Computing Min-marginal Energies Using Dynamic Graph Cuts. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 2006, pp:30-43 [Conf]
  18. Frederik Schaffalitzky, Andrew Zisserman, Richard I. Hartley, Philip H. S. Torr
    A Six Point Solution for Structure and Motion. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 2000, pp:632-648 [Conf]
  19. Bjoern Stenger, Arasanathan Thayananthan, Philip H. S. Torr, Roberto Cipolla
    Hand Pose Estimation Using Hierarchical Detection. [Citation Graph (0, 0)][DBLP]
    ECCV Workshop on HCI, 2004, pp:105-116 [Conf]
  20. Arasanathan Thayananthan, Ramanan Navaratnam, Björn Stenger, Philip H. S. Torr, Roberto Cipolla
    Multivariate Relevance Vector Machines for Tracking. [Citation Graph (0, 0)][DBLP]
    ECCV (3), 2006, pp:124-138 [Conf]
  21. Philip H. S. Torr, Colin Davidson
    IMPSAC: Synthesis of Importance Sampling and Random Sample Consensus. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 2000, pp:819-833 [Conf]
  22. Philip H. S. Torr, Anthony R. Dick, Roberto Cipolla
    Layer Extraction with a Bayesian Model of Shapes. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 2000, pp:273-289 [Conf]
  23. Philip H. S. Torr, David W. Murray
    Stochastic Motion Clustering. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 1994, pp:328-337 [Conf]
  24. Philip H. S. Torr, Andrew Zisserman
    Concerning Bayesian Motion Segmentation, Model, Averaging, Matching and the Trifocal Tensor. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 1998, pp:511-527 [Conf]
  25. Antonio Criminisi, Jamie Shotton, Andrew Blake, Philip H. S. Torr
    Gaze Manipulation for One-to-one Teleconferencing. [Citation Graph (0, 0)][DBLP]
    ICCV, 2003, pp:191-198 [Conf]
  26. Anthony R. Dick, Philip H. S. Torr, Simon J. Ruffle, Roberto Cipolla
    Combining Single View Recognition and Multiple View Stereo for Architectural Scenes. [Citation Graph (0, 0)][DBLP]
    ICCV, 2001, pp:268-274 [Conf]
  27. Pushmeet Kohli, Philip H. S. Torr
    Effciently Solving Dynamic Markov Random Fields Using Graph Cuts. [Citation Graph (0, 0)][DBLP]
    ICCV, 2005, pp:922-929 [Conf]
  28. M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman
    Learning Layered Motion Segmentation of Video. [Citation Graph (0, 0)][DBLP]
    ICCV, 2005, pp:33-40 [Conf]
  29. Sami Romdhani, Philip H. S. Torr, Bernhard Schölkopf, Andrew Blake
    Computationally Efficient Face Detection. [Citation Graph (0, 0)][DBLP]
    ICCV, 2001, pp:695-700 [Conf]
  30. Bjoern Stenger, Arasanathan Thayananthan, Philip H. S. Torr, Roberto Cipolla
    Filtering Using a Tree-Based Estimator. [Citation Graph (0, 0)][DBLP]
    ICCV, 2003, pp:1063-1070 [Conf]
  31. Philip H. S. Torr, Andrew W. Fitzgibbon, Andrew Zisserman
    Maintaining Multiple Motion Model Hypotheses Through Many Views to Recover Matching and Structure. [Citation Graph (0, 0)][DBLP]
    ICCV, 1998, pp:485-491 [Conf]
  32. Philip H. S. Torr, Richard Szeliski, P. Anandan
    An Integrated Bayesian Approach to Layer Extraction from Image Sequences. [Citation Graph (0, 0)][DBLP]
    ICCV, 1999, pp:983-990 [Conf]
  33. Philip H. S. Torr, Andrew Zisserman
    Robust Computation and Parametrization of Multiple View Relations. [Citation Graph (0, 0)][DBLP]
    ICCV, 1998, pp:727-732 [Conf]
  34. Philip H. S. Torr, Andrew Zisserman, Stephen J. Maybank
    Robust Detection of Degenerate Configurations for the Fundamental Matrix. [Citation Graph (0, 0)][DBLP]
    ICCV, 1995, pp:1037-0 [Conf]
  35. Philip H. S. Torr, Andrew Zisserman
    Feature Based Methods for Structure and Motion Estimation. [Citation Graph (0, 0)][DBLP]
    Workshop on Vision Algorithms, 1999, pp:278-294 [Conf]
  36. M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman
    Learning Layered Pictorial Structures from Video. [Citation Graph (0, 0)][DBLP]
    ICVGIP, 2004, pp:158-164 [Conf]
  37. Mukta Prasad, Andrew Zisserman, Andrew W. Fitzgibbon, M. Pawan Kumar, Philip H. S. Torr
    Learning Class-Specific Edges for Object Detection and Segmentation. [Citation Graph (0, 0)][DBLP]
    ICVGIP, 2006, pp:94-105 [Conf]
  38. Yunda Sun, Pushmeet Kohli, Matthieu Bray, Philip H. S. Torr
    Using Strong Shape Priors for Stereo. [Citation Graph (0, 0)][DBLP]
    ICVGIP, 2006, pp:882-893 [Conf]
  39. Jonathan Rihan, Pushmeet Kohli, Philip H. S. Torr
    OBJCUT for Face Detection. [Citation Graph (0, 0)][DBLP]
    ICVGIP, 2006, pp:576-584 [Conf]
  40. Philip H. S. Torr
    Model Selection for Two View Geometry: A Review. [Citation Graph (0, 0)][DBLP]
    Shape, Contour and Grouping in Computer Vision, 1999, pp:277-301 [Conf]
  41. Richard Szeliski, Philip H. S. Torr
    Geometrically Constrained Structure from Motion: Points on Planes. [Citation Graph (0, 0)][DBLP]
    SMILE, 1998, pp:171-186 [Conf]
  42. M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman
    An Object Category Specific mrffor Segmentation. [Citation Graph (0, 0)][DBLP]
    Toward Category-Level Object Recognition, 2006, pp:596-616 [Conf]
  43. Philip H. S. Torr, Andrew Zisserman
    MLESAC: A New Robust Estimator with Application to Estimating Image Geometry. [Citation Graph (0, 0)][DBLP]
    Computer Vision and Image Understanding, 2000, v:78, n:1, pp:138-156 [Journal]
  44. Philip H. S. Torr, Andrew Zisserman, Stephen J. Maybank
    Robust Detection of Degenerate Configurations while Estimating the Fundamental Matrix. [Citation Graph (0, 0)][DBLP]
    Computer Vision and Image Understanding, 1998, v:71, n:3, pp:312-333 [Journal]
  45. Anthony R. Dick, Philip H. S. Torr, Roberto Cipolla
    Modelling and Interpretation of Architecture from Several Images. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2004, v:60, n:2, pp:111-134 [Journal]
  46. Philip H. S. Torr
    Bayesian Model Estimation and Selection for Epipolar Geometry and Generic Manifold Fitting. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2002, v:50, n:1, pp:35-61 [Journal]
  47. 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. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2007, v:71, n:1, pp:89-110 [Journal]
  48. Philip H. S. Torr, Antonio Criminisi
    Dense stereo using pivoted dynamic programming. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 2004, v:22, n:10, pp:795-806 [Journal]
  49. Philip H. S. Torr, David W. Murray
    Statistical detection of independent movement from a moving camera. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 1993, v:11, n:4, pp:180-187 [Journal]
  50. Philip H. S. Torr, Andrew Zisserman
    Robust parameterization and computation of the trifocal tensor. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 1997, v:15, n:8, pp:591-605 [Journal]
  51. Philip H. S. Torr, Andrew Zisserman
    Performance characterization of fundamental matrix estimation under image degradation. [Citation Graph (0, 0)][DBLP]
    Mach. Vis. Appl., 1997, v:9, n:5/6, pp:321-333 [Journal]
  52. Björn Stenger, Arasanathan Thayananthan, Philip H. S. Torr, Roberto Cipolla
    Model-Based Hand Tracking Using a Hierarchical Bayesian Filter. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:9, pp:1372-1384 [Journal]
  53. Philip H. S. Torr, Colin Davidson
    IMPSAC: Synthesis of Importance Sampling and Random Sample Consensus. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2003, v:25, n:3, pp:354-364 [Journal]
  54. Philip H. S. Torr, Andrew W. Fitzgibbon
    Invariant Fitting of Two View Geometry. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2004, v:26, n:5, pp:648-650 [Journal]
  55. Philip H. S. Torr, Richard Szeliski, P. Anandan
    An Integrated Bayesian Approach to Layer Extraction from Image Sequences. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2001, v:23, n:3, pp:297-303 [Journal]
  56. Pushmeet Kohli, M. Pawan Kumar, Philip H. S. Torr
    P3 & Beyond: Solving Energies with Higher Order Cliques. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  57. Björn Stenger, Arasanathan Thayananthan, Philip H. S. Torr, Roberto Cipolla
    Estimating 3D hand pose using hierarchical multi-label classification. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 2007, v:25, n:12, pp:1885-1894 [Journal]
  58. George Vogiatzis, Carlos Hernández Esteban, Philip H. S. Torr, Roberto Cipolla
    Multiview Stereo via Volumetric Graph-Cuts and Occlusion Robust Photo-Consistency. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:12, pp:2241-2246 [Journal]
  59. Pushmeet Kohli, Philip H. S. Torr
    Dynamic Graph Cuts for Efficient Inference in Markov Random Fields. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:12, pp:2079-2088 [Journal]
  60. Anton van den Hengel, Anthony R. Dick, Thorsten Thormählen, Ben Ward, Philip H. S. Torr
    VideoTrace: rapid interactive scene modelling from video. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Graph., 2007, v:26, n:3, pp:86- [Journal]

  61. Reduce, reuse & recycle: Efficiently solving multi-label MRFs. [Citation Graph (, )][DBLP]


  62. Global stereo reconstruction under second order smoothness priors. [Citation Graph (, )][DBLP]


  63. Exact inference in multi-label CRFs with higher order cliques. [Citation Graph (, )][DBLP]


  64. Robust higher order potentials for enforcing label consistency. [Citation Graph (, )][DBLP]


  65. Randomized trees for human pose detection. [Citation Graph (, )][DBLP]


  66. Interactive 3D Model Completion. [Citation Graph (, )][DBLP]


  67. A shape hierarchy for 3D modelling from video. [Citation Graph (, )][DBLP]


  68. An Invariant Large Margin Nearest Neighbour Classifier. [Citation Graph (, )][DBLP]


  69. Using the Pn Potts model with learning methods to segment live cell images. [Citation Graph (, )][DBLP]


  70. Efficiently solving convex relaxations for MAP estimation. [Citation Graph (, )][DBLP]


  71. On partial optimality in multi-label MRFs. [Citation Graph (, )][DBLP]


  72. Gaussian Process Latent Variable Models for Human Pose Estimation. [Citation Graph (, )][DBLP]


  73. Ambiguity Modeling in Latent Spaces. [Citation Graph (, )][DBLP]


  74. An Analysis of Convex Relaxations for MAP Estimation. [Citation Graph (, )][DBLP]


  75. Improved Moves for Truncated Convex Models. [Citation Graph (, )][DBLP]


  76. Body Language Based Individual Identification in Video Using Gait and Actions. [Citation Graph (, )][DBLP]


  77. Measuring uncertainty in graph cut solutions. [Citation Graph (, )][DBLP]


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