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Fernando De la Torre: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Paul E. Rybski, Fernando De la Torre, Raju Patil, Carlos Vallespí, Manuela M. Veloso, Brett Browning
    CAMEO: Modeling Human Activity in Formal Meeting Situations. [Citation Graph (0, 0)][DBLP]
    AAAI, 2004, pp:1032-1033 [Conf]
  2. Fernando De la Torre, Michael J. Black
    Dynamic Coupled Component Analysis. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2001, pp:643-650 [Conf]
  3. Fernando De la Torre, Ralph Gross, Simon Baker, B. V. K. Vijaya Kumar
    Representational Oriented Component Analysis (ROCA) for Face Recognition with One Sample Image per Training Class. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2005, pp:266-273 [Conf]
  4. Fernando De la Torre, Michael J. Black
    Robust Parameterized Component Analysis. [Citation Graph (0, 0)][DBLP]
    ECCV (4), 2002, pp:653-669 [Conf]
  5. Fernando De la Torre, Shaogang Gong, Stephen J. McKenna
    View-Based Adaptive Affine Tracking. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 1998, pp:828-842 [Conf]
  6. Hedvig Sidenbladh, Fernando De la Torre, Michael J. Black
    A Framework for Modeling the Appearance of 3D Articulated Figures. [Citation Graph (0, 0)][DBLP]
    FG, 2000, pp:368-377 [Conf]
  7. Fernando De la Torre, Jordi Casoliva, Jeffrey F. Cohn
    Learning 3D Appearance Models from Video. [Citation Graph (0, 0)][DBLP]
    FGR, 2004, pp:645-650 [Conf]
  8. Fernando De la Torre, Shaogang Gong, Stephen J. McKenna
    View Alignment with Dynamically Updated Affine Tracking. [Citation Graph (0, 0)][DBLP]
    FG, 1998, pp:510-515 [Conf]
  9. Fernando De la Torre, Yaser Yacoob, Larry S. Davis
    A Probabilistic Framework for Rigid and Non-Rigid Appearance Based Tracking and Recognition. [Citation Graph (0, 0)][DBLP]
    FG, 2000, pp:491-498 [Conf]
  10. Simon Lucey, Iain Matthews, Changbo Hu, Zara Ambadar, Fernando De la Torre, Jeffrey F. Cohn
    AAM Derived Face Representations for Robust Facial Action Recognition. [Citation Graph (0, 0)][DBLP]
    FG, 2006, pp:155-162 [Conf]
  11. Fernando De la Torre, Michael J. Black
    Robust Principal Component Analysis for Computer Vision. [Citation Graph (0, 0)][DBLP]
    ICCV, 2001, pp:362-369 [Conf]
  12. Javier Melenchón, Fernando De la Torre, Ignasi Iriondo Sanz, Francesc Alías, Elisa Martínez, Lluís Vicent Safont
    Text to visual synthesis with appearance models. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2003, pp:237-240 [Conf]
  13. Fernando De la Torre, Carlos Javier Garcia Rubio, Elisa Martínez
    Subspace eyetracking for driver warning. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 2003, pp:329-332 [Conf]
  14. Paul E. Rybski, Satanjeev Banerjee, Fernando De la Torre, Carlos Vallespí, Alexander I. Rudnicky, Manuela M. Veloso
    Segmentation and classification of meetings using multiple information streams. [Citation Graph (0, 0)][DBLP]
    ICMI, 2004, pp:335-336 [Conf]
  15. Fernando De la Torre, Takeo Kanade
    Multimodal oriented discriminant analysis. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:177-184 [Conf]
  16. Fernando De la Torre, Takeo Kanade
    Discriminative cluster analysis. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:241-248 [Conf]
  17. Fernando De la Torre, Javier Melenchón, Jordi Vitrià, Petia Radeva
    Eigenfiltering for Flexible Eigentracking (EFE). [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:7118-7121 [Conf]
  18. Fernando De la Torre, Michael J. Black
    Robust parameterized component analysis: theory and applications to 2D facial appearance models. [Citation Graph (0, 0)][DBLP]
    Computer Vision and Image Understanding, 2003, v:91, n:1-2, pp:53-71 [Journal]
  19. Fernando De la Torre, Michael J. Black
    A Framework for Robust Subspace Learning. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2003, v:54, n:1-3, pp:117-142 [Journal]
  20. Javier Cortadellas, Josep Amat, Fernando De la Torre
    Robust normalization of silhouettes for recognition applications. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2004, v:25, n:5, pp:591-601 [Journal]
  21. Fernando De la Torre, Alvaro Collet, Manuel Quero, Jeffrey F. Cohn, Takeo Kanade
    Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  22. Fernando De la Torre, Oriol Vinyals
    Learning Kernel Expansions for Image Classification. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  23. Carlos Vallespí, Fernando De la Torre, Manuela M. Veloso, Takeo Kanade
    Automatic Clustering of Faces in Meetings. [Citation Graph (0, 0)][DBLP]
    ICIP, 2006, pp:1841-1844 [Conf]
  24. Paul E. Rybski, Fernando De la Torre, Raju Patil, Carlos Vallespí, Manuela M. Veloso, Brett Browning
    CAMEO: Camera Assisted Meeting Event Observer. [Citation Graph (0, 0)][DBLP]
    ICRA, 2004, pp:1634-1639 [Conf]
  25. Fernando De la Torre, Carlos Vallespí, Paul E. Rybski, Manuela M. Veloso, Takeo Kanade
    Learning to Track Multiple People in Omnidirectional Video. [Citation Graph (0, 0)][DBLP]
    ICRA, 2005, pp:4150-4155 [Conf]
  26. Fernando De la Torre, Alvaro Collet, Jeffrey F. Cohn, Takeo Kanade
    Robust appearance matching with filtered component analysis. [Citation Graph (0, 0)][DBLP]
    VISAPP (1), 2007, pp:207-212 [Conf]
  27. Fernando De la Torre, Joan Campoy, Jeffrey F. Cohn, Takeo Kanade
    Simultaneous registration and clustering for temporal segmentation of facial gestures from video. [Citation Graph (0, 0)][DBLP]
    VISAPP (2), 2007, pp:110-115 [Conf]
  28. Fernando De la Torre, Oriol Vinyals
    Parameterized kernels for support vector machine classification. [Citation Graph (0, 0)][DBLP]
    VISAPP (2), 2007, pp:116-121 [Conf]

  29. Local minima free Parameterized Appearance Models. [Citation Graph (, )][DBLP]


  30. Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment. [Citation Graph (, )][DBLP]


  31. Semi-supervised learning of multi-factor models for face de-identification. [Citation Graph (, )][DBLP]


  32. Efficient image alignment using linear appearance models. [Citation Graph (, )][DBLP]


  33. Aligned Cluster Analysis for temporal segmentation of human motion. [Citation Graph (, )][DBLP]


  34. Learning image alignment without local minima for face detection and tracking. [Citation Graph (, )][DBLP]


  35. Facial feature detection with optimal pixel reduction SVM. [Citation Graph (, )][DBLP]


  36. Bilinear Active Appearance Models. [Citation Graph (, )][DBLP]


  37. Temporal Segmentation of Facial Behavior. [Citation Graph (, )][DBLP]


  38. Multimodal Diaries. [Citation Graph (, )][DBLP]


  39. Local Minima Embedding. [Citation Graph (, )][DBLP]


  40. Gaussian Processes Multiple Instance Learning. [Citation Graph (, )][DBLP]


  41. Indoor people tracking based on dynamic weighted multidimensional scaling. [Citation Graph (, )][DBLP]


  42. Robust Kernel Principal Component Analysis. [Citation Graph (, )][DBLP]


  43. Image-based Shaving. [Citation Graph (, )][DBLP]


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