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Pietro Perona: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Xiaolin Feng, Pietro Perona
    Human Action Recognition By Sequence of Movelet Codewords. [Citation Graph (0, 0)][DBLP]
    3DPVT, 2002, pp:717-723 [Conf]
  2. Silvio Savarese, Min Chen, Pietro Perona
    Second Order Local Analysis for 3D Reconstruction of Specular Surfaces. [Citation Graph (0, 0)][DBLP]
    3DPVT, 2002, pp:356-361 [Conf]
  3. Silvio Savarese, Holly E. Rushmeier, Fausto Bernardini, Pietro Perona
    Implementation of a Shadow Carving System for Shape Capture. [Citation Graph (0, 0)][DBLP]
    3DPVT, 2002, pp:12-23 [Conf]
  4. Marco Andreetto, Silvio Savarese, Pietro Perona
    Carving from Ray-Tracing Constraints: IRT-Carving. [Citation Graph (0, 0)][DBLP]
    3DPVT, 2006, pp:49-56 [Conf]
  5. Arrigo Benedetti, Pietro Perona
    Real-Time 2-D Feature Detection on a Reconfigurable Computer. [Citation Graph (0, 0)][DBLP]
    CVPR, 1998, pp:586-593 [Conf]
  6. Sameer Agarwal, Jongwoo Lim, Lihi Zelnik-Manor, Pietro Perona, David J. Kriegman, Serge Belongie
    Beyond Pairwise Clustering. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2005, pp:838-845 [Conf]
  7. Anelia Angelova, Yaser S. Abu-Mostafa, Pietro Perona
    Pruning Training Sets for Learning of Object Categories. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2005, pp:494-501 [Conf]
  8. Michael C. Burl, Pietro Perona
    Recognition of Planar Object Classes. [Citation Graph (0, 0)][DBLP]
    CVPR, 1996, pp:223-230 [Conf]
  9. Michael C. Burl, Pietro Perona
    Using Hierarchical Shape Models to Spot Keywords in Cursive Handwriting Data. [Citation Graph (0, 0)][DBLP]
    CVPR, 1998, pp:535-540 [Conf]
  10. Jean-Yves Bouguet, Markus Weber, Pietro Perona
    What Do Planar Shadows Tell About Scene Geometry?. [Citation Graph (0, 0)][DBLP]
    CVPR, 1999, pp:1514-1520 [Conf]
  11. Claudio Fanti, Lihi Zelnik-Manor, Pietro Perona
    Hybrid Models for Human Motion Recognition. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2005, pp:1166-1173 [Conf]
  12. Xiaolin Feng, Pietro Perona
    Scene Segmentation from 3D Motion. [Citation Graph (0, 0)][DBLP]
    CVPR, 1998, pp:225-231 [Conf]
  13. Robert Fergus, Pietro Perona, Andrew Zisserman
    Object Class Recognition by Unsupervised Scale-Invariant Learning. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2003, pp:264-271 [Conf]
  14. Robert Fergus, Pietro Perona, Andrew Zisserman
    A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2005, pp:380-387 [Conf]
  15. Alex Holub, Pietro Perona
    A Discriminative Framework for Modelling Object Classes. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2005, pp:664-671 [Conf]
  16. Thomas K. Leung, Michael C. Burl, Pietro Perona
    Probablistic Affine Invariants for Recognition. [Citation Graph (0, 0)][DBLP]
    CVPR, 1998, pp:678-684 [Conf]
  17. Fei-Fei Li, Pietro Perona, California Institute of Technology
    A Bayesian Hierarchical Model for Learning Natural Scene Categories. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2005, pp:524-531 [Conf]
  18. Mario E. Munich, Pietro Perona
    Visual Signature Verification Using Affine Arc-Length. [Citation Graph (0, 0)][DBLP]
    CVPR, 1999, pp:2180-2186 [Conf]
  19. Pietro Perona
    Orientation diffusions. [Citation Graph (0, 0)][DBLP]
    CVPR, 1997, pp:710-716 [Conf]
  20. Ueli Rutishauser, Dirk Walther, Christof Koch, Pietro Perona
    Is Bottom-Up Attention Useful for Object Recognition? [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2004, pp:37-44 [Conf]
  21. Silvio Savarese, Pietro Perona
    Local Analysis for 3D Reconstruction of Specular Surfaces. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2001, pp:738-745 [Conf]
  22. Stefano Soatto, Pietro Perona
    Motion from fixation. [Citation Graph (0, 0)][DBLP]
    CVPR, 1996, pp:817-824 [Conf]
  23. Stefano Soatto, Pietro Perona
    Reducing "structure from motion". [Citation Graph (0, 0)][DBLP]
    CVPR, 1996, pp:825-832 [Conf]
  24. Yang Song, Xiaolin Feng, Pietro Perona
    Towards Detection of Human Motion. [Citation Graph (0, 0)][DBLP]
    CVPR, 2000, pp:1810-1817 [Conf]
  25. Yang Song, Luis Goncalves, Pietro Perona
    Learning Probabilistic Structure for Human Motion Detection. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2001, pp:771-777 [Conf]
  26. Markus Weber, Max Welling, Pietro Perona
    Towards Automatic Discovery of Object Categories. [Citation Graph (0, 0)][DBLP]
    CVPR, 2000, pp:2101-0 [Conf]
  27. Michael C. Burl, Markus Weber, Pietro Perona
    A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 1998, pp:628-641 [Conf]
  28. Stefano Casadei, Sanjoy K. Mitter, Pietro Perona
    Boundary Detection in Piecewise Homogeneous Textured Images. [Citation Graph (0, 0)][DBLP]
    ECCV, 1992, pp:174-183 [Conf]
  29. Robert Fergus, Pietro Perona, Andrew Zisserman
    A Visual Category Filter for Google Images. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 2004, pp:242-256 [Conf]
  30. Paul Kube, Pietro Perona
    Scale-space Properties of Quadratic Edge Detectors. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 1994, pp:115-122 [Conf]
  31. Pierre Moreels, Michael Maire, Pietro Perona
    Recognition by Probabilistic Hypothesis Construction. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 2004, pp:55-68 [Conf]
  32. Mario E. Munich, Pietro Perona
    Camera-Based ID Verification by Signature Tracking. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 1998, pp:782-796 [Conf]
  33. Pietro Perona
    Steerable-Scalable Kernels for Edge Detection and Junction Analysis. [Citation Graph (0, 0)][DBLP]
    ECCV, 1992, pp:3-18 [Conf]
  34. Pietro Perona, William T. Freeman
    A Factorization Approach to Grouping. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 1998, pp:655-670 [Conf]
  35. Silvio Savarese, Min Chen, Pietro Perona
    Recovering Local Shape of a Mirror Surface from Reflection of a Regular Grid. [Citation Graph (0, 0)][DBLP]
    ECCV (3), 2004, pp:468-481 [Conf]
  36. Silvio Savarese, Pietro Perona
    Local Analysis for 3D Reconstruction of Specular Surfaces - Part II. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 2002, pp:759-774 [Conf]
  37. Stefano Soatto, Ruggero Frezza, Pietro Perona
    Motion Estimation on the Essential Manifold. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 1994, pp:61-72 [Conf]
  38. Yang Song, Luis Goncalves, Pietro Perona
    Monocuolar Perception of Biological Motion - Clutter and Partial Occlusion. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 2000, pp:719-733 [Conf]
  39. Markus Weber, Max Welling, Pietro Perona
    Unsupervised Learning of Models for Recognition. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 2000, pp:18-32 [Conf]
  40. Luis Goncalves, Enrico Di Bernardo, Pietro Perona
    Reach Out and Touch Space (Motion Learning). [Citation Graph (0, 0)][DBLP]
    FG, 1998, pp:234-241 [Conf]
  41. Markus Weber, Wolfgang Einhäuser, Max Welling, Pietro Perona
    Viewpoint-Invariant Learning and Detection of Human Heads. [Citation Graph (0, 0)][DBLP]
    FG, 2000, pp:20-27 [Conf]
  42. Yang Song, Pietro Perona
    A Computational Model for Motion Detection and Direction Discrimination in Humans. [Citation Graph (0, 0)][DBLP]
    Workshop on Human Motion, 2000, pp:11-0 [Conf]
  43. Jean-Yves Bouguet, Pietro Perona
    Visual Navigation Using a Single Camera. [Citation Graph (0, 0)][DBLP]
    ICCV, 1995, pp:645-652 [Conf]
  44. Jean-Yves Bouguet, Pietro Perona
    3D Photography on Your Desk. [Citation Graph (0, 0)][DBLP]
    ICCV, 1998, pp:43-52 [Conf]
  45. Enrico Di Bernardo, Luis Goncalves, Enrico Ursella, Pietro Perona
    Monocular Tracking of the Human Arm in 3D. [Citation Graph (0, 0)][DBLP]
    ICCV, 1995, pp:764-770 [Conf]
  46. Fei-Fei Li, Robert Fergus, Pietro Perona
    A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories. [Citation Graph (0, 0)][DBLP]
    ICCV, 2003, pp:1134-1141 [Conf]
  47. Robert Fergus, Fei-Fei Li, Pietro Perona, Andrew Zisserman
    Learning Object Categories from Google's Image Search. [Citation Graph (0, 0)][DBLP]
    ICCV, 2005, pp:1816-1823 [Conf]
  48. Alex Holub, Max Welling, Pietro Perona
    Combining Generative Models and Fisher Kernels for Object Recognition. [Citation Graph (0, 0)][DBLP]
    ICCV, 2005, pp:136-143 [Conf]
  49. Thomas K. Leung, Michael C. Burl, Pietro Perona
    Finding Faces in Cluttered Scenes Using Labeled Random Graph Matching. [Citation Graph (0, 0)][DBLP]
    ICCV, 1995, pp:637-644 [Conf]
  50. Pierre Moreels, Pietro Perona
    Evaluation of Features Detectors and Descriptors Based on 3D Objects. [Citation Graph (0, 0)][DBLP]
    ICCV, 2005, pp:800-807 [Conf]
  51. Mario E. Munich, Pietro Perona
    Continuous Dynamic Time Warping for Translation-Invariant Curve Alignment with Applications to Signature Verification. [Citation Graph (0, 0)][DBLP]
    ICCV, 1999, pp:108-115 [Conf]
  52. Silvio Savarese, Holly E. Rushmeier, Fausto Bernardini, Pietro Perona
    Shadow Carving. [Citation Graph (0, 0)][DBLP]
    ICCV, 2001, pp:190-197 [Conf]
  53. Stefano Soatto, Pietro Perona
    Dynamic Rigid Motion Estimation from Weak Perspective. [Citation Graph (0, 0)][DBLP]
    ICCV, 1995, pp:321-0 [Conf]
  54. Yang Song, Luis Goncalves, Enrico Di Bernardo, Pietro Perona
    Monocular Perception of Biological Motion - Detection and Labeling. [Citation Graph (0, 0)][DBLP]
    ICCV, 1999, pp:805-812 [Conf]
  55. Lihi Zelnik-Manor, Gabriele Peters, Pietro Perona
    Squaring the Circles in Panoramas. [Citation Graph (0, 0)][DBLP]
    ICCV, 2005, pp:1292-1299 [Conf]
  56. Michael C. Burl, Usama M. Fayyad, Pietro Perona, Padhraic Smyth
    Automated Analysis of Radar Imagery of Venus: Handling Lack of Ground Truth. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 1994, pp:236-240 [Conf]
  57. Roberto Manduchi, Pietro Perona
    Pyramidal implementation of deformable kernels. [Citation Graph (0, 0)][DBLP]
    ICIP, 1995, pp:378-381 [Conf]
  58. Pietro Perona, Marco Tartagni
    Diffusion Networks for On-Chip Image Contrast Normalization. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1994, pp:1-5 [Conf]
  59. Stefano Soatto, Pietro Perona
    Dynamic Visual Motion Estimation from Subspace Constraints. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1994, pp:333-337 [Conf]
  60. Stefano Soatto, Pietro Perona
    Recursive Estimation of Camera Motion from Uncalibrated Image Sequences. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 1994, pp:58-62 [Conf]
  61. Paolo Fiorini, Gene Chalfant, Yuichi Tsumaki, Enrico Di Bernardo, Pietro Perona
    An Intelligent Vision-Only Operator Interface for Dexterous Robots. [Citation Graph (0, 0)][DBLP]
    ICRA, 2000, pp:2665-2670 [Conf]
  62. Arrigo Benedetti, Pietro Perona
    A novel system architecture for real-time low-level vision. [Citation Graph (0, 0)][DBLP]
    ISCAS (3), 1999, pp:500-503 [Conf]
  63. Padhraic Smyth, Michael C. Burl, Usama M. Fayyad, Pietro Perona
    Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth. [Citation Graph (0, 0)][DBLP]
    KDD Workshop, 1994, pp:109-120 [Conf]
  64. Claudio Fanti, Marzia Polito, Pietro Perona
    An Improved Scheme for Detection and Labelling in Johansson Displays. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  65. Robert Fergus, Andrew Zisserman, Pietro Perona
    Sampling Methods for Unsupervised Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  66. Michael Fink 0002, Pietro Perona
    Mutual Boosting for Contextual Inference. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  67. Alex Holub, Gilles Laurent, Pietro Perona
    A Digital Antennal Lobe for Pattern Equalization: Analysis and Design. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:229-236 [Conf]
  68. Pierre Moreels, Pietro Perona
    Common-Frame Model for Object Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  69. Marzia Polito, Pietro Perona
    Grouping and dimensionality reduction by locally linear embedding. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1255-1262 [Conf]
  70. Padhraic Smyth, Usama M. Fayyad, Michael C. Burl, Pietro Perona, Pierre Baldi
    Inferring Ground Truth from Subjective Labelling of Venus Images. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:1085-1092 [Conf]
  71. Yang Song, Luis Goncalves, Pietro Perona
    Unsupervised Learning of Human Motion Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1287-1294 [Conf]
  72. Lihi Zelnik-Manor, Pietro Perona
    Self-Tuning Spectral Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  73. Pietro Perona
    The Emergence of Visual Categories - A Computational Perspective. [Citation Graph (0, 0)][DBLP]
    SCIA, 2003, pp:1-3 [Conf]
  74. Pietro Perona
    A taxonomy of visual recognition. [Citation Graph (0, 0)][DBLP]
    VMV, 2004, pp:187- [Conf]
  75. Anelia Angelova, Larry Matthies, Daniel M. Helmick, Pietro Perona
    Slip Prediction Using Visual Information. [Citation Graph (0, 0)][DBLP]
    Robotics: Science and Systems, 2006, pp:- [Conf]
  76. Robert Fergus, Pietro Perona, Andrew Zisserman
    A Sparse Object Category Model for Efficient Learning and Complete Recognition. [Citation Graph (0, 0)][DBLP]
    Toward Category-Level Object Recognition, 2006, pp:443-461 [Conf]
  77. Yang Song, Luis Goncalves, Enrico Di Bernardo, Pietro Perona
    Monocular Perception of Biological Motion in Johansson Displays. [Citation Graph (0, 0)][DBLP]
    Computer Vision and Image Understanding, 2001, v:81, n:3, pp:303-327 [Journal]
  78. Dirk Walther, Ueli Rutishauser, Christof Koch, Pietro Perona
    Selective visual attention enables learning and recognition of multiple objects in cluttered scenes. [Citation Graph (0, 0)][DBLP]
    Computer Vision and Image Understanding, 2005, v:100, n:1-2, pp:41-63 [Journal]
  79. Silvio Savarese, Min Chen, Pietro Perona
    Local Shape from Mirror Reflections. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2005, v:64, n:1, pp:31-67 [Journal]
  80. Robert Fergus, Pietro Perona, Andrew Zisserman
    Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2007, v:71, n:3, pp:273-303 [Journal]
  81. Silvio Savarese, Marco Andreetto, Holly E. Rushmeier, Fausto Bernardini, Pietro Perona
    3D Reconstruction by Shadow Carving: Theory and Practical Evaluation. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2007, v:71, n:3, pp:305-336 [Journal]
  82. Pietro Perona
    Steerable-scalable kernels for edge detection and junction analysis. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 1992, v:10, n:10, pp:663-672 [Journal]
  83. Gudrun Socher, Gerhard Sagerer, Pietro Perona
    Bayesian reasoning on qualitative descriptions from images and speech. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 2000, v:18, n:2, pp:155-172 [Journal]
  84. Michael C. Burl, Lars Asker, Padhraic Smyth, Usama M. Fayyad, Pietro Perona, Larry Crumpler, Jayne Aubele
    Learning to Recognize Volcanoes on Venus. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1998, v:30, n:2-3, pp:165-194 [Journal]
  85. Fei-Fei Li, Robert Fergus, Pietro Perona
    One-Shot Learning of Object Categories. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:4, pp:594-611 [Journal]
  86. Paul Kube, Pietro Perona
    Scale-Space Properties of Quadratic Feature Detectors. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1996, v:18, n:10, pp:987-999 [Journal]
  87. Mario E. Munich, Pietro Perona
    Visual Input for Pen-Based Computers. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2002, v:24, n:3, pp:313-328 [Journal]
  88. Mario E. Munich, Pietro Perona
    Visual Identification by Signature Tracking. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2003, v:25, n:2, pp:200-217 [Journal]
  89. Pietro Perona
    Deformable Kernels for Early Vision. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1995, v:17, n:5, pp:488-499 [Journal]
  90. Pietro Perona, Jitendra Malik
    Scale-Space and Edge Detection Using Anisotropic Diffusion. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1990, v:12, n:7, pp:629-639 [Journal]
  91. Stefano Soatto, Pietro Perona
    Reducing "Structure From Motion": A General Framework for Dynamic Vision Part 1: Modeling. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1998, v:20, n:9, pp:933-942 [Journal]
  92. Stefano Soatto, Pietro Perona
    Reducing "Structure From Motion": A General Framework for Dynamic Vision Part 2: Implementation and Experimental Assessment. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1998, v:20, n:9, pp:943-960 [Journal]
  93. Stefano Soatto, Pietro Perona
    Correction to: "Reducing 'Structure From Motion': A General Framework for Dynamic Vision Part 2: Implementation and Experimental Assessment". [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1998, v:20, n:10, pp:1117- [Journal]
  94. Yang Song, Luis Goncalves, Pietro Perona
    Unsupervised Learning of Human Motion. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2003, v:25, n:7, pp:814-827 [Journal]
  95. Marc'Aurelio Ranzato, P. E. Taylor, J. M. House, R. C. Flagan, Yann LeCun, Pietro Perona
    Automatic recognition of biological particles in microscopic images. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2007, v:28, n:1, pp:31-39 [Journal]
  96. Stefano Soatto, Pietro Perona
    Motion from Fixation. [Citation Graph (0, 0)][DBLP]
    Real-Time Imaging, 1997, v:3, n:2, pp:129-153 [Journal]
  97. Pietro Perona
    Orientation diffusions. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1998, v:7, n:3, pp:457-467 [Journal]
  98. Alex Holub, Yun-hsueh Liu, Pietro Perona
    On Constructing Facial Similarity Maps. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  99. Anelia Angelova, Larry Matthies, Daniel M. Helmick, Pietro Perona
    Fast Terrain Classification Using Variable-Length Representation for Autonomous Navigation. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  100. Anelia Angelova, Larry Matthies, Daniel M. Helmick, Pietro Perona
    Learning slip behavior using automatic mechanical supervision. [Citation Graph (0, 0)][DBLP]
    ICRA, 2007, pp:1741-1748 [Conf]
  101. Jonathan Harel, Christof Koch, Pietro Perona
    Graph-Based Visual Saliency. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:545-552 [Conf]
  102. Lihi Zelnik-Manor, Pietro Perona
    Automating joiners. [Citation Graph (0, 0)][DBLP]
    NPAR, 2007, pp:121-131 [Conf]

  103. Unsupervised learning of visual taxonomies. [Citation Graph (, )][DBLP]


  104. Incremental learning of nonparametric Bayesian mixture models. [Citation Graph (, )][DBLP]


  105. Pedestrian detection: A benchmark. [Citation Graph (, )][DBLP]


  106. Some Objects Are More Equal Than Others: Measuring and Predicting Importance. [Citation Graph (, )][DBLP]


  107. Multiple Component Learning for Object Detection. [Citation Graph (, )][DBLP]


  108. A Probabilistic Cascade of Detectors for Individual Object Recognition. [Citation Graph (, )][DBLP]


  109. Unsupervised clustering for google searches of celebrity images. [Citation Graph (, )][DBLP]


  110. Non-Parametric Probabilistic Image Segmentation. [Citation Graph (, )][DBLP]


  111. Automatic discovery of image families: Global vs. local features. [Citation Graph (, )][DBLP]


  112. Memory bounded inference in topic models. [Citation Graph (, )][DBLP]


  113. Learning to Predict Slip for Ground Robots. [Citation Graph (, )][DBLP]


  114. Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning. [Citation Graph (, )][DBLP]


  115. What do reflections tell us about the shape of a mirror? [Citation Graph (, )][DBLP]


  116. Seeing the trees, the forest, and much more. [Citation Graph (, )][DBLP]


  117. Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories. [Citation Graph (, )][DBLP]


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