BooksJournalsRefereed ConferencesThesesPatentsUnspecified

    Books
    2014
  1. R. Vidal, Y. Ma, and S. Sastry.
    Generalized Principal Component Analysis
    Springer Verlag, 2014.
    Download: (unavailable)

  2. 2007
  3. R. Vidal, A. Heyden, and Y. Ma, editors.
    Dynamical Vision
    Springer Verlag, January 2007.
    Download: (unavailable)

  4. Journals
    2014
  5. A. Ravichandran, P. Favaro, and R. Vidal.
    A Unified Approach to Segmentation and Categorization of Dynamic Textures.
    International Journal of Computer Vision, (Under Review) 2014.
    Download: (unavailable)

  6. 2013
  7. B. Afsari, R. Tron, and R. Vidal.
    On the Convergence of Gradient Descent for Locating the Riemmanian Center of Mass.
    SIAM Journal on Control and Optimization, 51(3):2230–2260, 2013.
    Download: [pdf] [HTML] 

  8. H. E. Cetingul, M. Wright, P. Thompson, and R. Vidal.
    Segmentation of High Angular Resolution Diffusion MRI using Sparse Riemannian Manifold Clustering.
    IEEE Transactions on Medical Imaging, PP(99):1–1, 2013.
    Download: [pdf] [ps.gz] [ps] [HTML] [poster] [slides] [code] 

  9. R. Chaudhry, G. Hager, and R. Vidal.
    Dynamic Template Tracking and Recognition.
    International Journal of Computer Vision, 105(1):19–48, 2013.
    Download: [HTML] 

  10. E. Elhamifar and R. Vidal.
    Sparse Subspace Clustering: Algorithm, Theory, and Applications.
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(11):2765–2781, 2013.
    Download: [HTML] 

  11. F. Ofli, R. Chaudhry, G. Kurillo, R. Vidal, and R. Bajcsy.
    SMIJ: Sequence of the Most Informative Joints: A New Representation for Human Skeletal Action Recognition.
    Journal of Visual Communication and Image Representation, 2013.
    Download: [pdf] [HTML] 

  12. A. Ravichandran, R. Chaudhry, and R. Vidal.
    Categorizing Dynamic Textures using a Bag of Dynamical Systems.
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(2):342–353, 2013.
    Download: [pdf] [HTML] 

  13. A. Ravichandran, P. Favaro, and R. Vidal.
    A Unified Approach to Segmentation and Categorization of Dynamic Textures.
    International Journal of Computer Vision, (Under Review) 2013.
    Download: (unavailable)

  14. D. Rother, S. Mahendran, and R. Vidal.
    Hypothesize and Bound: A Computational Focus of Attention Mechanism for Simultaneous 3D Shape Reconstruction.
    International Journal of Computer Vision, (Submitted) 2013.
    Download: [HTML] 

  15. D. Rother, S. Schütz, and R. Vidal.
    Hypothesize and Bound: A Computational Focus of Attention Mechanism for Simultaneous N-D Segmentation, Pose Estimation and Classification Using Shape Priors.
    International Journal of Computer Vision, (Submitted) 2013.
    Download: [HTML] 

  16. R. Tron, B. Afsari, and R. Vidal.
    Riemannian Consensus for Manifolds with Bounded Curvature.
    IEEE Transactions on Automatic Control, 58(4):921–934, 2013.
    Download: [pdf] [HTML] 

  17. R. Vidal and P. Favaro.
    Low Rank Subspace Clustering (LRSC).
    Pattern Recognition Letters, 2013.
    Download: [pdf] [HTML] 

  18. Luca Zappella, Benjam\'in Béjar, Gregory Hager, and René Vidal.
    Surgical Gesture Classification from Video and Kinematic data.
    Medical Image Analysis, 17(7):732 – 745, 2013.
    Download: [pdf] [ps.gz] [ps] [HTML] [poster] [slides] [code] 

  19. 2012
  20. E. Elhamifar and R. Vidal.
    Block-Sparse Recovery via Convex Optimization.
    IEEE Transactions on Signal Processing, 60(8):4094–4107, 2012.
    Download: [HTML] 

  21. 2011
  22. H.E. Cetingül, G. Plank, N. Trayanova, and R. Vidal.
    Estimation of Local Orientations in Fibrous Structures with Applications to the Purkinje System.
    IEEE Transactions on Biomedical Engineering, 58(6):1762–1772, February 2011.
    Download: [HTML] 

  23. A. Goh, C. Lenglet, P. Thompson, and R. Vidal.
    A Nonparametric Riemannian Framework for Processing High Angular Resolution Diffusion Images and its Applications to ODF-based Morphometry.
    Neuroimage, 47(3):608–613, February 2011.
    Download: [HTML] 

  24. F. Lauer, G. Bloch, and R. Vidal.
    A Continuous Optimization Framework for Hybrid System Identification.
    Automatica, 47:608–613, March 2011.
    Download: [HTML] 

  25. A. Ravichandran and R. Vidal.
    Video Registration Using Dynamic Textures.
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(1):158–171, January 2011.
    Download: [pdf] [HTML] 

  26. D. Singaraju, L. Grady, A. Sinop, and R. Vidal.
    Continuous Valued MRFs for Image Segmentation.
    In Advances in Markov Random Fields for Vision and Image Processing, MIT Press, September 2011.
    Download: [pdf] [HTML] 

  27. D. Singaraju and R. Vidal.
    Estimation of Alpha Mattes for Multiple Layers.
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(7):1295–1309, July 2011.
    Download: [pdf] [HTML] 

  28. R. Tron, A. Terzis, and R. Vidal.
    Distributed Image-Based 3-D Localization in Camera Sensor Networks.
    In Distributed Video Sensor Networks, Springer, 2011.
    Download: [HTML] 

  29. R. Tron and R. Vidal.
    Distributed Computer Vision Algorithms.
    IEEE Signal Processing Magazine, 28(2):32–45, May 2011.
    Download: [HTML] 

  30. R. Vidal.
    Subspace Clustering.
    IEEE Signal Processing Magazine, 28(3):52–68, March 2011.
    Download: [HTML] 

  31. 2010
  32. S. Rao, R. Tron, R. Vidal, and Y. Ma.
    Motion Segmentation in the Presence of Outlying, Incomplete, or Corrupted Trajectories.
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(10):1832–1845, 2010.
    Download: [pdf] [HTML] 

  33. 2009
  34. J. Daafouz, M.D. Di Benedetto, V.D. Blondel, G. Ferrari-Trecate, L. Hetel, M. Johansson, A.l. Juloski, S. Paoletti, G. Pola, E. De Santis, and R. Vidal.
    Switched and Piecewise Affine Systems.
    In Handbook of Hybrid Systems Control, Theory, Tools, Application, pp. 87–137, Cambridge University Press, 2009.
    Download: (unavailable)

  35. 2008
  36. R. Vidal.
    Recursive Identification of Switched ARX Systems.
    Automatica, 44(9):2274–2287, September 2008.
    Download: [HTML] 

  37. R. Vidal and R. Hartley.
    Three-View Multibody Structure from Motion.
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(2):214–227, February 2008.
    Download: [HTML] 

  38. R. Vidal, R. Tron, and R. Hartley.
    Multiframe Motion Segmentation with Missing Data Using PowerFactorization and GPCA.
    International Journal of Computer Vision, 79(1):85–105, August 2008.
    Download: [HTML] 

  39. 2007
  40. S. Paoletti, A. Juloski, G. Ferrari-Trecate, and R. Vidal.
    Identification of Hybrid Systems: A Tutorial.
    European Journal of Control, 73(1):242–260, 2007.
    Download: [pdf] 

  41. S.V.N. Vishwanathan, A. Smola, and R. Vidal.
    Binet-Cauchy Kernels on Dynamical Systems and its Application to the Analysis of Dynamic Scenes.
    International Journal of Computer Vision, 73(1):95–119, 2007.
    Download: [HTML] 

  42. 2006
  43. R. Vidal.
    Segmentation of Dynamic Scenes Taken by a Central Panoramic Camera.
    In Imaging Beyond the Pinhole Camera, LNCS, Springer Verlag, 2006.
    Download: [HTML] 

  44. R. Vidal.
    Imaging Beyond the Pinhole Camera
    LNCS, Springer Verlag, 2006.
    Download: (unavailable)

  45. R. Vidal and Y. Ma.
    A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation.
    Journal of Mathematical Imaging and Vision, 25(3):403–421, 2006.
    Download: [pdf] 

  46. R. Vidal, Y. Ma, S. Soatto, and S. Sastry.
    Two-View Multibody Structure from Motion.
    International Journal of Computer Vision, 68(1):7–25, 2006.
    Download: [pdf] 

  47. 2005
  48. A. Ghoreyshi, R. Vidal, and D. Mery.
    Segmentation of Circular Casting Defects Using a Robust Algorithm.
    Insight, Journal of the British Institute of Non-Destructive Testing, 47(10):615–617, 2005.
    Download: [HTML] 

  49. R. Vidal, Y. Ma, and S. Sastry.
    Generalized Principal Component Analysis (GPCA).
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(12):1–15, 2005.
    Download: [pdf] 

  50. 2004
  51. Y. Ma, Kun Huang, R. Vidal, J. Kosecká, and S. Sastry.
    Rank Conditions on the Multiple View Matrix.
    International Journal of Computer Vision, 59(2):115–137, 2004.
    Download: [pdf] 

  52. R. Vidal, O. Shakernia, and S. Sastry.
    Following the Flock: Distributed Formation Control with Omnidirectional Vision-Based Motion Segmentation and Visual Servoing.
    IEEE Robotics and Automation Magazine, 11(4):14–20, 2004.
    Download: [pdf] 

  53. 2002
  54. R. Vidal, O. Shakernia, J. Kim, D. Shim, and S. Sastry.
    Probabilistic Pursuit-Evasion Games: Theory, Implementation and Experimental Evaluation.
    IEEE Transactions on Robotics and Automation, 18(5):662–669, 2002.
    Download: [pdf] 

  55. 2001
  56. J. Concha, A. Cipriano, and R. Vidal.
    Design of fuzzy controllers based on stability analysis.
    Fuzzy Sets and Systems, Special Issue on Formal Methods for Fuzzy Modeling and Control, 121(1):25–38, 2001.
    Download: [HTML] 

  57. Y. Ma, R. Vidal, S. Hsu, and S. Sastry.
    Optimal Motion Estimation from Multiple Images by Normalized Epipolar Constraint.
    Journal of Communications in Information and Systems, 1:51–73, 2001.
    Download: [pdf] 

  58. 2000
  59. J. Concha, A. Cipriano, and R. Vidal.
    Design of Stable Fuzzy Controllers for Nonlinear Processes.
    In Stability Issues in Fuzzy Control, Springer Verlag, 2000.
    Download: (unavailable)

  60. 1998
  61. A. Cipriano, M. Guarini, R. Vidal, A. Soto, C. Sepúlveda, D. Mery, and H. Brise no.
    A Real Time Visual Sensor for Supervision of Flotation Cells.
    Minerals Engineering, 11(837):489–499, 1998.
    Download: [HTML] 

  62. Refereed Conferences
    2013
  63. B. Afsari and R. Vidal.
    The Alignment Distance on Spaces of Linear Dynamical Systems.
    In IEEE Conference on Decision and Control, 2013.
    Download: [pdf] 

  64. B. Afsari and R. Vidal.
    Group Action Induced Distances on Spaces of High-Dimensional Linear Stochastic Processes.
    In Geometric Science of Information, pp. 425–432, LNCS 8085, 2013.
    Download: [pdf] 

  65. N. Ahmidi, Y. Gao, B. Bejar, S. Vedula, S. Khudanpur, R. Vidal, and G. Hager.
    String Motif-Based Description of Tool Motion for Detecting Skill and Gestures in Robotic Surgery.
    In Medical Image Computing and Computer Assisted Intervention, 2013.
    Download: [HTML] 

  66. R. Chaudhry, F. Ofli, G. Kurillo, R. Bajcsy, and R. Vidal.
    Bio-inspired Dynamic 3D Discriminative Skeletal Features for Human Action Recognition.
    In International Workshop on Human Activity Understanding from 3D Data, 2013.
    Download: [pdf] 

  67. R. Chaudhry and R. Vidal.
    Initial-State Invariant Binet-Cauchy Kernels for the Comparison of Linear Dynamical Systems.
    In IEEE Conference on Decision and Control, 2013.
    Download: (unavailable)

  68. G. Gorospe, L. Younes, L. Tung, and R. Vidal.
    A Riemannian Distance for Embryonic Cardiac Action Potential Interpolation and Classification.
    In Medical Image Computing and Computer Assisted Intervention, 2013.
    Download: [pdf] [HTML] 

  69. A. Jain, S. Chatterjee, and R. Vidal.
    Coarse-to-fine Semantic Video Segmentation using Supervoxel Trees.
    In IEEE International Conference on Computer Vision, 2013.
    Download: [pdf] 

  70. N. D. Jimenez, B. Afsari, and R. Vidal.
    Fast Jacobi-type Algorithm for Computing Distances Between Linear Dynamical Systems.
    In European Control Conference, pp. 3682 – 3687, 2013.
    Download: [pdf] 

  71. H-A. Lobel, R. Vidal, D. Mery, and A. Soto.
    Joint Dictionary and Classifier Learning for Categorization of Images Using a Max-margin Framework.
    In Pacific-Rim Symposium on Image and Video Technology, 2013.
    Download: [HTML] 

  72. H-A. Lobel, A. Soto, and R. Vidal.
    Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition.
    In IEEE Conference on Computer Vision and Pattern Recognition, 2013.
    Download: [pdf] 

  73. F. Ofli, R. Chaudhry, G. Kurillo, R. Vidal, and R. Bajcsy.
    Berkeley MHAD: A Comprehensive Multimodal Human Action Database.
    In IEEE Workshop on Applications of Computer Vision, 2013.
    Download: [pdf] [HTML] 

  74. V. M. Patel, H. V. Nguyen, and R. Vidal.
    Latent Space Sparse Subspace Clustering.
    In IEEE International Conference on Computer Vision, 2013.
    Download: [pdf] 

  75. E. Schwab, H. E. Cetingul, B. Afsari, M. A. Yassa, and R. Vidal.
    Rotation Invariant Features for HARDI.
    In Information Processing in Medical Imaging, 2013.
    Download: [pdf] [HTML] [poster] 

  76. L. Tao, L. Zappella, G. Hager, and R. Vidal.
    Segmentation and Recognition of Surgical Gestures from Kinematic and Video Data.
    In Medical Image Computing and Computer Assisted Intervention, 2013.
    Download: [pdf] [HTML] 

  77. E. Yoruk and R. Vidal.
    A 3D Wireframe Model for Efficient Object Localization and Pose Estimation.
    In ICCV Workshop on 3D Representation and Recognition, 2013.
    Download: [pdf] 

  78. 2012
  79. B. Afsari, R. Chaudhry, A. Ravichandran, and R. Vidal.
    Group Action Induced Distances for Averaging and Clustering Linear Dynamical Systems with Applications to the Analysis of Dynamic Visual Scenes.
    In IEEE Conference on Computer Vision and Pattern Recognition, 2012.
    Download: [pdf] [HTML] 

  80. Benjamín Béjar, Luca Zappella, and René Vidal.
    Surgical Gesture Classification from Video Data.
    In Medical Image Computing and Computer Assisted Intervention, pp. 34–41, 2012.
    Download: [pdf] [HTML] 

  81. H. E. Cetingul, B. Afsari, and R. Vidal.
    An Algebraic Solution to Rotation Recovery in HARDI from Correspondences of Orientation Distribution Functions.
    In IEEE International Symposium on Biomedical Imaging, 2012.
    Download: [pdf] [HTML] 

  82. H. E. Cetingul, B. Afsari, M. Wright, P. Thompson, and R. Vidal.
    Group action induced averaging for HARDI processing.
    In IEEE International Symposium on Biomedical Imaging, 2012.
    Download: [pdf] [HTML] 

  83. E. Elhamifar, G. Sapiro, and R. Vidal.
    See All by Looking at A Few: Sparse Modeling for Finding Representative Objects.
    In IEEE Conference on Computer Vision and Pattern Recognition, 2012.
    Download: [pdf] 

  84. E. Elhamifar, G. Sapiro, and R. Vidal.
    Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery.
    In Neural Information Processing and Systems, 2012.
    Download: [pdf] 

  85. A. Jain, L. Zappella, P. McClure, and R. Vidal.
    Visual Dictionary Learning for Joint Object Categorization and Segmentation.
    In European Conference on Computer Vision, 2012.
    Download: [pdf] 

  86. F. Ofli, R. Chaudhry, G. Kurillo, R. Vidal, and R. Bajcsy.
    Sequence of the Most Informative Joints (SMIJ): A New Representation for Human Skeletal Action Recognition.
    In International Workshop on Human Activity Understanding from 3D Data, 2012.
    Download: [pdf] 

  87. D. Perrone, A. Ravichandran, R. Vidal, and P. Favaro.
    Image Priors for Image Deblurring with Uncertain Blur.
    In British Machine Vision Conference, 2012.
    Download: (unavailable)

  88. E. Schwab, B. Afsari, and R. Vidal.
    Estimation of Non-Negative ODFs using Eigenvalue Distribution of Spherical Functions.
    In Medical Image Computing and Computer Assisted Intervention, pp. 322–330, 7511, 2012.
    Download: [pdf] [HTML] [poster] 

  89. L. Tao, E. Elhamifar, S. Khudanpur, G. Hager, and R. Vidal.
    Sparse Hidden Markov Models for Surgical Gesture Classification and Skill Evaluation.
    In Information Processing in Computed Assisted Interventions, 2012.
    Download: [pdf] 

  90. R. Tron, B. Afsari, and R. Vidal.
    Intrinsic Consensus on $SO(3)$ with Almost-Global Convergence.
    In Conference on Decision and Control, 2012.
    Download: [pdf] [HTML] 

  91. 2011
  92. H.E. Cetingül and R. Vidal.
    Sparse Riemannian Manifold Clustering for HARDI Segmentation.
    In IEEE International Symposium on Biomedical Imaging, pp. 839–842, 2011.
    Download: [pdf] [HTML] 

  93. Y. Chen, R. Tron, A. Terzis, and R. Vidal.
    Accelerated Corrective Consensus: Convergence to the Exact Average at a Faster Rate.
    In American Control Conference, 2011.
    Download: [pdf] 

  94. Y. Chen, R. Tron, A. Terzis, and R. Vidal.
    Corrective Consensus with Asymmetric Wireless Links.
    In IEEE Conference on Decision and Control, 2011.
    Download: (unavailable)

  95. E. Elhamifar and R. Vidal.
    Sparsity in Unions of Subspaces for Classification and Clustering of High-Dimensional Data.
    In Allerton Conference on Communication, Control, and Computing, 2011.
    Download: (unavailable)

  96. E. Elhamifar and R. Vidal.
    Robust Classification using Structured Sparse Representation.
    In IEEE Conference on Computer Vision and Pattern Recognition, 2011.
    Download: [pdf] 

  97. E. Elhamifar and R. Vidal.
    Sparse Manifold Clustering and Embedding.
    In Neural Information Processing and Systems, 2011.
    Download: [pdf] 

  98. P. Favaro, R. Vidal, and A. Ravichandran.
    A Closed Form Solution to Robust Subspace Estimation and Clustering.
    In IEEE Conference on Computer Vision and Pattern Recognition, 2011.
    Download: [pdf] 

  99. D. Rother and R. Vidal.
    A Hypothesize-and-Bound Algorithm for Simultaneous Object Classification, Pose Estimation and 3D Reconstruction from a Single 2D Image.
    In ICCV Workshop on 3D Representation and Recognition, 2011.
    Download: [pdf] 

  100. D. Singaraju and R. Vidal.
    Using Global Bag of Features Models in Random Fields for Joint Categorization and Segmentation of Objects.
    In IEEE Conference on Computer Vision and Pattern Recognition, 2011.
    Download: [pdf] [HTML] 

  101. R. Tron, B. Afsari, and R. Vidal.
    Average Consensus on Riemannian Manifolds with Bounded Curvature.
    In Conference on Decision and Control, 2011.
    Download: (unavailable)

  102. R. Tron and R. Vidal.
    Distributed Computer Vision Algorithms Through Distributed Averaging.
    In IEEE Conference on Computer Vision and Pattern Recognition, 2011.
    Download: [pdf] 

  103. 2010
  104. Y. Chen, R. Tron, A. Terzis, and R. Vidal.
    Corrective Consensus: Converging to the Exact Average.
    In Conference on Decision and Control, 2010.
    Download: [HTML] 

  105. E. Elhamifar and R. Vidal.
    Clustering Disjoint Subspaces via Sparse Representation.
    In IEEE International Conference on Acoustics, Speech, and Signal Processing, 2010.
    Download: [HTML] 

  106. F. Lauer, G. Bloch, and R. Vidal.
    Nonlinear Hybrid System Identification with Kernel Models.
    In Conference on Decision and Control, 2010.
    Download: [HTML] 

  107. J. Li, E. Elhamifar, I-J Wang, and R. Vidal.
    Consensus with Robustness to Outliers via Distributed Optimization.
    In Conference on Decision and Control, 2010.
    Download: [HTML] 

  108. A. Ravichandran, P. Favaro, and R. Vidal.
    A Unified Approach to Segmentation and Categorization of Dynamic Textures.
    In Asian Conference on Computer Vision, 2010.
    Download: [pdf] 

  109. 2009
  110. L. Bako, G. Mercere, R. Vidal, and S. Lecoeuche.
    Identification of Switched Linear State Space Models without Dwell Time.
    In IFAC Symposium on System Identification, 2009.
    Download: [HTML] 

  111. H.E. Cetingül, G. Plank, N. Trayanova, and R. Vidal.
    Estimation of Multimodal Orientation Distribution Functions from Cardiac MRI For Tracking Purkinje fibers through branchings.
    In IEEE International Symposium on Biomedical Imaging, pp. 839–842, 2009.
    Download: [HTML] 

  112. H.E. Cetingül, G. Plank, N. Trayanova, and R. Vidal.
    Stochastic Tractography in 3-D Images via Nonlinear Filtering and Spherical Clustering.
    In Workshop on Probabilistic Models for Medical Image Analysis, 2009.
    Download: [pdf] 

  113. H.E. Cetingül and R. Vidal.
    Intrinsic Mean Shift for Clustering on Stiefel and Grassmann Manifolds.
    In IEEE Conference on Computer Vision and Pattern Recognition, 2009.
    Download: [HTML] 

  114. R. Chaudhry, A. Ravichandran, G. Hager, and R. Vidal.
    Histograms of Oriented Optical Flow and Binet-Cauchy Kernels on Nonlinear Dynamical Systems for the Recognition of Human Actions.
    In IEEE Conference on Computer Vision and Pattern Recognition, 2009.
    Download: [HTML] 

  115. E. Elhamifar, M. Petreczky, and R. Vidal.
    Rank Tests for the Observability of Discrete-Time Jump Linear Systems with Inputs.
    In American Control Conference, 2009.
    Download: [pdf] 

  116. E. Elhamifar and R. Vidal.
    Sparse Subspace Clustering.
    In IEEE Conference on Computer Vision and Pattern Recognition, 2009.
    Download: [HTML] 

  117. E. Elhamifar and R. Vidal.
    Distributed Calibration of Camera Sensor Networks.
    In International Conference on Distributed Smart Cameras, 2009.
    Download: [HTML] 

  118. A. Goh, C. Lenglet, P.M. Thompson, and R. Vidal.
    A Nonparametric Riemannian Framework for Processing High Angular Resolution Diffusion Images (HARDI).
    In IEEE Conference on Computer Vision and Pattern Recognition, 2009.
    Download: [HTML] 

  119. A. Goh, C. Lenglet, P.M. Thompson, and R. Vidal.
    Estimating Orientation Distribution Functions with Probability Density Constraints and Spatial Regularity.
    In Medical Image Computing and Computer Assisted Intervention, pp. 877–885, 5761, 2009.
    Download: [HTML] 

  120. F. Lauer, R. Vidal, and G. Bloch.
    A Product-of-Errors Framework for Linear Hybrid System Identification.
    In IFAC Symposium on System Identification, 2009.
    Download: [HTML] 

  121. A. Ravichandran, R. Chaudhry, and R. Vidal.
    View-Invariant Dynamic Texture Recognition using a Bag of Dynamical Systems.
    In IEEE Conference on Computer Vision and Pattern Recognition, 2009.
    Download: [HTML] 

  122. D. Singaraju, L. Grady, and R. Vidal.
    P-Brush: Continuous Valued MRFs with Normed Pairwise Distributions for Image Segmentation.
    In IEEE Conference on Computer Vision and Pattern Recognition, 2009.
    Download: [HTML] 

  123. R. Tron and R. Vidal.
    Distributed Image-Based 3-D Localization in Camera Sensor Networks.
    In Conference on Decision and Control, 2009.
    Download: [HTML] 

  124. 2008
  125. L. Bako and R. Vidal.
    Identification of MIMO Switched ARX Models.
    In Hybrid Systems: Computation and Control, Spinger-Verlag, 2008.
    Download: [pdf] 

  126. H.E. Cetingül, R. Vidal, G. Plank, and N. Trayanova.
    Nonlinear Filtering for Extracting Orientation and Tracing Tubular Structures in 2-D Medical Images.
    In IEEE International Symposium on Biomedical Imaging, pp. 260–263, 2008.
    Download: [pdf] 

  127. A. Goh and R. Vidal.
    Clustering and Dimensionality Reduction on Riemannian Manifolds.
    In IEEE Conference on Computer Vision and Pattern Recognition, 2008.
    Download: [pdf] 

  128. A. Goh and R. Vidal.
    Segmenting Fiber Bundles in Diffusion Tensor Images.
    In European Conference on Computer Vision, pp. 238–250, 2008.
    Download: [pdf] 

  129. A. Goh and R. Vidal.
    Unsupervised Riemannian Clustering of Probability Density Functions.
    In European Conference on Machine Learning, 2008.
    Download: [pdf] 

  130. R. Hartley and R. Vidal.
    Perspective Nonrigid Shape and Motion Recovery.
    In European Conference on Computer Vision, 2008.
    Download: [pdf] 

  131. M. Petreczky and R. Vidal.
    Realization of Discrete-Time Semi-Algebraic Hybrid Systems.
    In Hybrid Systems: Computation and Control, Springer Verlag, 2008.
    Download: [pdf] 

  132. S. Rao, R. Tron, Y. Ma, and R. Vidal.
    Motion Segmentation via Robust Subspace Separation in the Presence of Outlying, Incomplete, or Corrupted Trajectories.
    In IEEE Conference on Computer Vision and Pattern Recognition, 2008.
    Download: [pdf] 

  133. A. Ravichandran and R. Vidal.
    Video Registration using Dynamic Textures.
    In European Conference on Computer Vision, 2008.
    Download: [pdf] 

  134. D. Singaraju, L. Grady, and R. Vidal.
    Interactive Image Segmentation Via Minimization of Quadratic Energies on Directed Graphs.
    In IEEE Conference on Computer Vision and Pattern Recognition, 2008.
    Download: [pdf] 

  135. D. Singaraju and R. Vidal.
    Interactive Image Matting for Multiple Layers.
    In IEEE Conference on Computer Vision and Pattern Recognition, 2008.
    Download: [pdf] 

  136. R. Tron and R. Vidal.
    Distributed Face Recognition via Consensus on SE(3).
    In Workshop on Omnidirectional Vision, 2008.
    Download: [pdf] 

  137. R. Tron, R. Vidal, and A. Terzis.
    Distributed pose averaging in camera networks via consensus on SE(3).
    In International Conference on Distributed Smart Cameras, 2008.
    Download: [pdf] 

  138. 2007
  139. H.E. Cetingül, R. Chaudhry, and R. Vidal.
    A System Theoretic Approach to Synthesis and Classification of Lip Articulation.
    In International Workshop on Dynamical Vision, 2007.
    Download: [pdf] 

  140. A. Ghoreyshi and R. Vidal.
    Epicardial Segmentation in Dynamic Cardiac MR Sequences Using Priors on Shape, Intensity, and Dynamics, in a Level Set Framework.
    In IEEE International Symposium on Biomedical Imaging, pp. 860–863, 2007.
    Download: [pdf] 

  141. A. Goh and R. Vidal.
    Segmenting Motions of Different Types by Unsupervised Manifold Clustering.
    In IEEE Conference on Computer Vision and Pattern Recognition, 2007.
    Download: [pdf] 

  142. T. Li, V. Kallem, D. Singaraju, and R. Vidal.
    Projective Factorization of Multiple Rigid-Body Motions.
    In IEEE Conference on Computer Vision and Pattern Recognition, 2007.
    Download: [pdf] 

  143. M. Petreczky and R. Vidal.
    Realization Theory for Stochastic Jump-Markov Linear Systems.
    In Conference on Decision and Control, 2007.
    Download: [pdf] 

  144. M. Petreczky and R. Vidal.
    Metrics and topology for nonlinear and hybrid systems.
    In Hybrid Systems: Computation and Control, Springer Verlag, 2007.
    Download: [pdf] 

  145. A. Ravichandran and R. Vidal.
    Mosaicing Nonrigid Dynamical Scenes.
    In International Workshop on Dynamic Vision, 2007.
    Download: [pdf] 

  146. R. Tron and R. Vidal.
    A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms.
    In IEEE Conference on Computer Vision and Pattern Recognition, 2007.
    Download: [pdf] 

  147. R. Vidal.
    Identification of Spatial-Temporal Hybrid Systems.
    In Conference on Decision and Control, 2007.
    Download: [pdf] 

  148. R. Vidal and P. Favaro.
    DynamicBoost: Boosting Time Series Generated by Dynamical Systems.
    In IEEE International Conference on Computer Vision, 2007.
    Download: [pdf] 

  149. R. Vidal, S. Soatto, and A. Chiuso.
    Applications of Hybrid System Identification in Computer Vision.
    In European Control Conference, 2007.
    Download: [pdf] 

  150. 2006
  151. A. Ghoreyshi and R. Vidal.
    Segmenting Dynamic Textures with Ising Descriptors, ARX Models and Level Sets.
    In International Workshop on Dynamic Vision, pp. 127–141, LNCS 4358, 2006.
    Download: [pdf] 

  152. A. Goh and R. Vidal.
    Algebraic Methods for Direct and Feature Based Registration of Diffusion Tensor Images.
    In European Conference on Computer Vision, pp. 514–525, 2006.
    Download: [pdf] 

  153. A. Goh and R. Vidal.
    An Algebraic Solution to Rigid Registration of Diffusion Tensor Images.
    In IEEE International Symposium on Biomedical Imaging, pp. 642–645, 2006.
    Download: [pdf] 

  154. L. Lu and R. Vidal.
    Combined Central and Subspace Clustering on Computer Vision Applications.
    In International Conference on Machine Learning, pp. 593–600, 2006.
    Download: [pdf] 

  155. A. Ravichandran, R. Vidal, and H. Halperin.
    Segmenting a Beating Heart Using PolySegment and Spatial GPCA.
    In IEEE International Symposium on Biomedical Imaging, pp. 634–637, 2006.
    Download: [pdf] 

  156. D. Singaraju and R. Vidal.
    A Bottom up Algebraic Approach to Motion Segmentation.
    In Asian Conference on Computer Vision, pp. 286–296, 1, 2006.
    Download: [pdf] 

  157. D. Singaraju and R. Vidal.
    Direct Segmentation of Multiple Motion Models of Different Types.
    In International Workshop on Dynamical Vision, 2006.
    Download: [pdf] 

  158. R. Vidal.
    Online clustering of moving hyperplanes.
    In Neural Information Processing Systems, NIPS, 2006.
    Download: [pdf] 

  159. R. Vidal and D. Abretske.
    Nonrigid Shape and Motion from Multiple Perspective Views.
    In European Conference on Computer Vision, pp. 205–218, 2006.
    Download: [pdf] 

  160. 2005
  161. X. Fan and R. Vidal.
    The Space of Multibody Fundamental Matrices: Rank, Geometry and Projection.
    In International Workshop on Dynamical Vision, pp. 1–17, 2005.
    Download: [pdf] 

  162. Y. Hashambhoy and R. Vidal.
    Recursive Identification of Switched ARX Models with Unknown Number of Models and Unknown Orders.
    In Conference on Decision and Control, pp. 6115–6121, 2005.
    Download: [pdf] 

  163. A. Juloski, W. Heemels, G. Ferrari-Trecate, R. Vidal, S. Paoletti, and J. Niessen.
    Comparison of four procedures for the identification of hybrid systems.
    In Hybrid Systems: Computation and Control, LNCS, pp. 354–369, Springer-Verlag, Berlin, 2005.
    Download: [pdf] 

  164. Y. Ma and R. Vidal.
    Identification of Deterministic Switched ARX Systems via Identification of Algebraic Varieties.
    In Hybrid Systems: Computation and Control, pp. 449–465, Springer Verlag, 2005.
    Download: [pdf] 

  165. R. Vidal.
    Multi-Subspace Methods for Motion Segmentation from Affine, Perspective and Central Panoramic Cameras.
    In IEEE Conference on Robotics and Automation, pp. 1753–1758, 2005.
    Download: [pdf] 

  166. R. Vidal and A. Ravichandran.
    Optical Flow Estimation and Segmentation of Multiple Moving Dynamic Textures.
    In IEEE Conference on Computer Vision and Pattern Recognition, pp. 516–521, II, 2005.
    Download: [pdf] 

  167. R. Vidal and D. Singaraju.
    A Closed-Form Solution to Direct Motion Segmentation.
    In IEEE Conference on Computer Vision and Pattern Recognition, pp. 510–515, II, 2005.
    Download: [pdf] 

  168. 2004
  169. R. Hartley and R. Vidal.
    The Multibody Trifocal Tensor: Motion Segmentation from 3 Perspective Views.
    In IEEE Conference on Computer Vision and Pattern Recognition, pp. 769–775, I, 2004.
    Download: [pdf] 

  170. K. Huang, Y. Ma, and R. Vidal.
    Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and its Applications.
    In IEEE Conference on Computer Vision and Pattern Recognition, pp. 631–638, II, 2004.
    Download: [pdf] 

  171. D. Mery, F. Ochoa, and R. Vidal.
    Tracking of Points in a Calibrated and Noisy Image Sequence.
    In International Conference on Image Analysis and Recognition, 2004.
    Download: [pdf] 

  172. R. Vidal.
    Identification of PWARX Hybrid Models with Unknown and Possibly Different Orders.
    In American Control Conference, pp. 547–552, 2004.
    Download: [pdf] 

  173. R. Vidal and B.D.O. Anderson.
    Recursive Identification of Switched ARX Hybrid Models: Exponential Convergence and Persistence of Excitation.
    In Conference on Decision and Control, pp. 32–37, 2004.
    Download: [pdf] 

  174. R. Vidal and R. Hartley.
    Motion Segmentation with Missing Data by PowerFactorization and Generalized PCA.
    In IEEE Conference on Computer Vision and Pattern Recognition, pp. 310–316, II, 2004.
    Download: [pdf] 

  175. R. Vidal and Y. Ma.
    A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation.
    In European Conference on Computer Vision, pp. 1–15, 2004.
    Download: [pdf] 

  176. R. Vidal, Y. Ma, and J. Piazzi.
    A New GPCA Algorithm for Clustering Subspaces by Fitting, Differentiating and Dividing Polynomials.
    In IEEE Conference on Computer Vision and Pattern Recognition, pp. 510–517, I, 2004.
    Download: [pdf] 

  177. 2003
  178. N. Cowan, O. Shakernia, R. Vidal, and S. Sastry.
    Vision-based Follow-the-Leader.
    In IEEE Conference on Intelligent Robotic Systems, 2003.
    Download: [pdf] 

  179. O. Shakernia, R. Vidal, and S. Sastry.
    Multi-Body Motion Estimation and Segmentation From Multiple Central Panoramic Views.
    In IEEE International Conference on Robotics and Automation, pp. 571–576, 1, 2003.
    Download: [pdf] 

  180. O. Shakernia, R. Vidal, and S. Sastry.
    Omnidirectional vision-based egomotion estimation from backprojection flow.
    In Workshop on Omnidirectional Vision, 2003.
    Download: [pdf] 

  181. O. Shakernia, R. Vidal, and S. Sastry.
    Structure from small baseline motion with central panoramic cameras.
    In Workshop on Omnidirectional Vision, 2003.
    Download: [pdf] 

  182. R. Vidal, A. Chiuso, S. Soatto, and S. Sastry.
    Observability of Linear Hybrid Systems.
    In Hybrid Systems: Computation and Control, pp. 526–539, Springer Verlag, 2003.
    Download: [pdf] 

  183. R. Vidal, Y. Ma, and S. Sastry.
    Generalized Principal Component Analysis (GPCA).
    In IEEE Conference on Computer Vision and Pattern Recognition, pp. 621–628, I, 2003.
    Download: [pdf] 

  184. R. Vidal and S. Sastry.
    Optimal Segmentation of Dynamic Scenes from Two Perspective Views.
    In IEEE Conference on Computer Vision and Pattern Recognition, pp. 281–286, 2, 2003.
    Download: [pdf] 

  185. R. Vidal, O. Shakernia, and S. Sastry.
    Formation Control of Nonholonomic Mobile Robots with OmnidirectionalVisual Servoing and Motion Segmentation.
    In IEEE International Conference on Robotics and Automation, pp. 584–589, 1, 2003.
    Download: [pdf] 

  186. R. Vidal, S. Soatto, Y. Ma, and S. Sastry.
    An Algebraic Geometric Approach to the Identification of a Class of Linear Hybrid Systems.
    In Conference on Decision and Control, pp. 167–172, 2003.
    Download: [pdf] 

  187. 2002
  188. O. Shakernia, R. Vidal, and S. Sastry.
    Infinitesimal Motion Estimation from Multiple Central Panoramic Views.
    In IEEE Workshop on Motion and Video Computing, pp. 229–234, 2002.
    Download: [pdf] 

  189. O. Shakernia, R. Vidal, C. Sharp, Y. Ma, and S. Sastry.
    Multiple View Motion Estimation and Control for Landing an Unmanned Aerial Vehicle.
    In IEEE International Conference on Robotics and Automation, pp. 2793–2798, 2002.
    Download: [pdf] 

  190. R. Vidal, A. Chiuso, and S. Soatto.
    Observability and Identifiability of Jump Linear Systems.
    In Conference on Decision and Control, pp. 3614–3619, 2002.
    Download: [pdf] 

  191. R. Vidal and J. Oliensis.
    Structure from planar motions with small baselines.
    In European Conference on Computer Vision, pp. 383–398, 2002.
    Download: [pdf] 

  192. R. Vidal and S. Sastry.
    Vision based detection of multiple autonomous vehicles for pursuit-evasion games.
    In IFAC World Congress on Automatic Control, 2002.
    Download: [pdf] 

  193. R. Vidal and S. Sastry.
    Segmentation of Dynamic Scenes from Image Intensities.
    In IEEE Workshop on Motion and Video Computing, pp. 44–49, 2002.
    Download: [pdf] 

  194. R. Vidal, S. Sastry, J. Kim, O. Shakernia, and D. Shim.
    The Berkeley Aerial Robot Project (BEAR).
    In Workshop on Aerial Robotics, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1–10, 2002.
    Download: (unavailable)

  195. R. Vidal, O. Shakernia, and S. Sastry.
    Omnidirectional Vision-Based Formation Control.
    In Fortieth Annual Allerton Conference on Communication, Control and Computing, pp. 1625–1634, 2002.
    Download: [pdf] 

  196. R. Vidal, S. Soatto, Y. Ma, and S. Sastry.
    Segmentation of Dynamic Scenes from the Multibody Fundamental Matrix.
    In ECCV Workshop on Visual Modeling of Dynamic Scenes, 2002.
    Download: [pdf] 

  197. R. Vidal, S. Soatto, and S. Sastry.
    A Factorization Method for Multibody Motion Estimation and Segmentation.
    In Fortieth Annual Allerton Conference on Communication, Control and Computing, pp. 1625–1634, 2002.
    Download: [pdf] 

  198. 2001
  199. H.J. Kim, R. Vidal, D. Shim, O. Shakernia, and S. Sastry.
    A hierarchical approach to Probabilistic Pursuit-Evasion games with unmanned ground and aerial vehicles.
    In Conference on Decision and Control, pp. 1243–1248, 2001.
    Download: [pdf] 

  200. R. Vidal, Y. Ma, S. Hsu, and S. Sastry.
    Optimal Motion Estimation from the Multiview Normalized Epipolar Constraint.
    In IEEE International Conference on Computer Vision, pp. 34–41, 1, 2001.
    Download: [pdf] 

  201. R. Vidal, S. Rashid, C. Sharp, O. Shakernia, H.J. Kim, and S. Sastry.
    Pursuit-Evasion games with unmanned ground and aerial vehicles.
    In IEEE International Conference on Robotics and Automation, pp. 2948–2955, 2001.
    Download: [pdf] 

  202. R. Vidal, S. Schaffert, O. Shakernia, J. Lygeros, and S. Sastry.
    Decidable and Semi-decidable Controller Synthesis for Classes of Discrete Time Hybrid Systems.
    In Conference on Decision and Control, pp. 1243–1278, 2001.
    Download: [pdf] 

  203. 2000
  204. Y. Ma, R. Vidal, J. Kosecká, and S. Sastry.
    Kruppa's Equations Revisited: its Degeneracy, Renormalization and Relations to Chirality.
    In European Conference on Computer Vision, pp. 561–577, 2, 2000.
    Download: [pdf] 

  205. R. Vidal, S. Schaffert, J. Lygeros, and S. Sastry.
    Controlled Invariance of Discrete Time Systems.
    In Hybrid Systems: Computation and Control, pp. 437–451, Springer Verlag, 2000.
    Download: [pdf] 

  206. 1998
  207. R. Vidal and A. Cipriano.
    A Robotic Classifier of Rocks: an Integration of Artificial Vision and Robotics.
    In IFAC Workshop on Algorithms and Architectures for Real-Time Control, pp. 120–125, 1998.
    Download: (unavailable)

  208. 1997
  209. R. Vidal and A. Cipriano.
    System for Classifying Rocks by using Artificial Vision and a Robot Arm.
    In IEEE International Symposium on Industrial Electronics, pp. 729–734, 2, 1997.
    Download: (unavailable)

  210. 1996
  211. A. Cipriano, M. Ramos, R. Vidal, and D. Mery.
    Parallel Processing Systems and their Application to Economic Dispatch with Environmental Constraints.
    In Latin-American Congress on Automatic Control, pp. 115–121, 1996.
    Download: (unavailable)

  212. R. Vidal and A. Cipriano.
    The Scorbot ER VII Robot Arm: Description and Applications.
    In Chilean Congress on Automatic Control, pp. 17–22, 1996.
    Download: (unavailable)

  213. Theses
    2003
  214. R. Vidal.
    Generalized Principal Component Analysis (GPCA): an Algebraic Geometric Approach to Subspace Clustering and Motion Segmentation.
    Ph.D. Thesis, University of California, Berkeley, 2003.
    Download: [pdf] 

  215. 2000
  216. R. Vidal.
    Controlled Invariance of Discrete Time Hybrid Systems.
    Master's Thesis, University of California at Berkeley,2000.
    Download: [pdf] 

  217. 1997
  218. R. Vidal.
    Control of a Robot Arm using Fuzzy Logic and Image Processing.
    Master's Thesis, Catholic University of Chile,1997.
    Download: (unavailable)

  219. Patents
    2010
  220. A. Ravichandran and R. Vidal.
    Registering Video Sequences Using Linear Dynamical Systems.
    US Patent 20100260439, 2010.
    Download: (unavailable)

  221. D. Singaraju, L. Grady, and R. Vidal.
    P-brush: A Generalized Algorithm for Interactive Segmentation.
    US Patent 20100104186, 2010.
    Download: (unavailable)

  222. 2009
  223. H. E. Cetingul, H. Tek, and R. Vidal.
    A Multiscale Orientation Detector for Analyzing Local Topology of Tubular Structures.
    US Patent 2009E16562US (Pending), 2009.
    Download: (unavailable)

  224. Unspecified
    2014
  225. D. Rother, S. Mahendran, and R. Vidal.
    Hypothesize and Bound: A Computational Focus of Attention Mechanism for Simultaneous 3D Shape Reconstruction.
    International Journal of Computer Vision, (Submitted) 2014.
    Download: [HTML] 

  226. D. Rother, S. Schütz, and R. Vidal.
    Hypothesize and Bound: A Computational Focus of Attention Mechanism for Simultaneous N-D Segmentation, Pose Estimation and Classification Using Shape Priors.
    International Journal of Computer Vision, 2014.
    Download: [HTML] 

  227. 2010
  228. A. Goh, C. Lenglet, P. Thompson, and R. Vidal.
    A Convex Framework for Estimation of Orientation Distribution Functions with Non-negativity Constraints and Spatial Regularity.
    Medical Image Analysis, (Submitted) 2010.
    Download: (unavailable)

  229. A. Goh and R. Vidal.
    Locally Linear Manifold Clustering (LLMC).
    Journal of Machine Learning Research, (Submitted) 2010.
    Download: (unavailable)

  230. D. Singaraju, L. Grady, and R. Vidal.
    Image Segmentation with Asymmetric Pairwise Penalties.
    IEEE Transactions on Pattern Analysis and Machine Intelligence, (Submitted) 2010.
    Download: (unavailable)

  231. 2002
  232. R. Vidal, S. Soatto, and S. Sastry.
    A Factorization Method for 3D Multi-body motion estimation and segmentation.
    Technical Report {UCB/ERL} {M}02/3, UC Berkeley, 2002.
    Download: (unavailable)


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