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Nikos Paragios: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Charles Florin, James Williams, Ali Khamene, Nikos Paragios
    Registration of 3D Angiographic and X-Ray Images Using Sequential Monte Carlo Sampling. [Citation Graph (0, 0)][DBLP]
    CVBIA, 2005, pp:427-436 [Conf]
  2. Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos Paragios
    Fast Illumination-Invariant Background Subtraction Using Two Views: Error Analysis, Sensor Placement and Applications. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2005, pp:1071-1078 [Conf]
  3. Anurag Mittal, Nikos Paragios
    Motion-Based Background Subtraction Using Adaptive Kernel Density Estimation. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2004, pp:302-309 [Conf]
  4. Nikos Paragios, Rachid Deriche
    Unifying Boundary and Region-Based Information for Geodesic Active Tracking. [Citation Graph (0, 0)][DBLP]
    CVPR, 1999, pp:2300-2305 [Conf]
  5. Nikos Paragios, Rachid Deriche
    Geodesic Active Contours for Supervised Texture Segmentation. [Citation Graph (0, 0)][DBLP]
    CVPR, 1999, pp:2422-2427 [Conf]
  6. Nikos Paragios, Visvanathan Ramesh
    A MRF-Based Approach for Real-Time Subway Monitoring. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2001, pp:1034-1040 [Conf]
  7. Noura Azzabou, Nikos Paragios, Frederic Guichard
    Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 2006, pp:379-390 [Conf]
  8. Charles Florin, Nikos Paragios, James Williams
    Globally Optimal Active Contours, Sequential Monte Carlo and On-Line Learning for Vessel Segmentation. [Citation Graph (0, 0)][DBLP]
    ECCV (3), 2006, pp:476-489 [Conf]
  9. Nikos Paragios, Rachid Deriche
    Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 2000, pp:224-240 [Conf]
  10. Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh
    Matching Distance Functions: A Shape-to-Area Variational Approach for Global-to-Local Registration. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 2002, pp:775-789 [Conf]
  11. Mikaël Rousson, Nikos Paragios
    Shape Priors for Level Set Representations. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 2002, pp:78-92 [Conf]
  12. Romain Dupont, Nikos Paragios, Renaud Keriven, Phillipe Fuchs
    Extraction of Layers of Similar Motion Through Combinatorial Techniques. [Citation Graph (0, 0)][DBLP]
    EMMCVPR, 2005, pp:220-234 [Conf]
  13. Nikos Paragios, Rachid Deriche
    A PDE-Based Level-Set Approach for Detection and Tracking of Moving Objects. [Citation Graph (0, 0)][DBLP]
    ICCV, 1998, pp:1139-1145 [Conf]
  14. Nikos Paragios, Rachid Deriche
    Geodesic Active Regions for Motion Estimation and Tracking. [Citation Graph (0, 0)][DBLP]
    ICCV, 1999, pp:688-694 [Conf]
  15. Nikos Paragios, Rachid Deriche
    Geodesic Active Regions for Supervised Texture Segmentation. [Citation Graph (0, 0)][DBLP]
    ICCV, 1999, pp:926-932 [Conf]
  16. Nikos Paragios, Olivier Mellina-Gottardo, Visvanathan Ramesh
    Gradient Vector Flow Fast Geodesic Active Contours. [Citation Graph (0, 0)][DBLP]
    ICCV, 2001, pp:67-75 [Conf]
  17. Antoine Monnet, Anurag Mittal, Nikos Paragios, Visvanathan Ramesh
    Background Modeling and Subtraction of Dynamic Scenes. [Citation Graph (0, 0)][DBLP]
    ICCV, 2003, pp:1305-1312 [Conf]
  18. Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios, Frans Coetzee, Joachim M. Buhmann
    Topology Free Hidden Markov Models: Application to Background Modeling. [Citation Graph (0, 0)][DBLP]
    ICCV, 2001, pp:294-301 [Conf]
  19. Maxime Taron, Nikos Paragios, Marie-Pierre Jolly
    Modelling Shapes with Uncertainties: Higher Order Polynomials, Variable Bandwidth Kernels and Non Parametric Density Estimation. [Citation Graph (0, 0)][DBLP]
    ICCV, 2005, pp:1659-1666 [Conf]
  20. Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos Paragios
    Uncalibrated stereo rectification for automatic 3d surveillance. [Citation Graph (0, 0)][DBLP]
    ICIP, 2004, pp:1357-1360 [Conf]
  21. Nikos Paragios, Rachid Deriche
    Detecting Multiple Moving Targets Using Deformable Contours. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1997, pp:183-186 [Conf]
  22. Konstantinos Karantzalos, Nikos Paragios
    Higher order polynomials, free form deformations and optical flow estimation. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 2005, pp:1280-1283 [Conf]
  23. Cedric Allene, Nikos Paragios
    Image Renaissance Using Discrete Optimization. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2006, pp:631-634 [Conf]
  24. Patrick Etyngier, Nikos Paragios, Renaud Keriven, Yakup Genc, Jean-Yves Audibert
    Radon space and Adaboost for Pose Estimation. [Citation Graph (0, 0)][DBLP]
    ICPR (1), 2006, pp:421-424 [Conf]
  25. Martin de La Gorce, Nikos Paragios
    Fast Dichotomic Multiple Search Algorithm for Shortest Cirular Path. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2006, pp:403-406 [Conf]
  26. Maxime Taron, Charlotte Ghys, Nikos Paragios
    Uncertainties-driven Surface Morphing: The case of Photo-realistic Transitions between Facial Expressions. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2006, pp:889-892 [Conf]
  27. Nikos Paragios
    Variational Methods and Partial Differential Equations in Cardiac Image Analysis. [Citation Graph (0, 0)][DBLP]
    ISBI, 2004, pp:17-20 [Conf]
  28. Charlotte Ghys, Nikos Paragios, Benedicte Bascle
    Understanding 3D Emotions Through Compact Anthropometric Autoregressive Models. [Citation Graph (0, 0)][DBLP]
    ISVC (1), 2006, pp:793-802 [Conf]
  29. Charlotte Ghys, Nikos Paragios, Benedicte Bascle
    Graph-Based Multi-resolution Temporal-Based Face Reconstruction. [Citation Graph (0, 0)][DBLP]
    ISVC (1), 2006, pp:803-812 [Conf]
  30. Charles Florin, Nikos Paragios, James Williams
    Particle Filters, a Quasi-Monte Carlo Solution for Segmentation of Coronaries. [Citation Graph (0, 0)][DBLP]
    MICCAI, 2005, pp:246-253 [Conf]
  31. Xiaolei Huang, Nikos Paragios, Dimitris N. Metaxas
    Establishing Local Correspondences towards Compact Representations of Anatomical Structures. [Citation Graph (0, 0)][DBLP]
    MICCAI (2), 2003, pp:926-934 [Conf]
  32. Nikos Paragios
    User-Aided Boundary Delineation through the Propagation of Implicit Representations. [Citation Graph (0, 0)][DBLP]
    MICCAI (2), 2003, pp:678-686 [Conf]
  33. Mikaël Rousson, Nikos Paragios, Rachid Deriche
    Implicit Active Shape Models for 3D Segmentation in MR Imaging. [Citation Graph (0, 0)][DBLP]
    MICCAI (1), 2004, pp:209-216 [Conf]
  34. Maxime Taron, Nikos Paragios, Marie-Pierre Jolly
    Border Detection on Short Axis Echocardiographic Views Using a Region Based Ellipse-Driven Framework. [Citation Graph (0, 0)][DBLP]
    MICCAI (1), 2004, pp:443-450 [Conf]
  35. Nikos Paragios, Marie-Pierre Jolly, Maxime Taron, Rama Ramaraj
    Active Shape Models and Segmentation of the Left Ventricle in Echocardiography. [Citation Graph (0, 0)][DBLP]
    Scale-Space, 2005, pp:131-142 [Conf]
  36. Konstantinos Karantzalos, Nikos Paragios
    Implicit Free-Form-Deformations for Multi-frame Segmentation and Tracking. [Citation Graph (0, 0)][DBLP]
    VLSM, 2005, pp:271-282 [Conf]
  37. Maxime Taron, Nikos Paragios, Marie-Pierre Jolly
    Uncertainty-Driven Non-parametric Knowledge-Based Segmentation: The Corpus Callosum Case. [Citation Graph (0, 0)][DBLP]
    VLSM, 2005, pp:198-209 [Conf]
  38. Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh
    Knowledge-based Registration & Segmentation of the Left Ventricle: A Level Set Approach. [Citation Graph (0, 0)][DBLP]
    WACV, 2002, pp:37-42 [Conf]
  39. Nikos Paragios, Rachid Deriche
    Geodesic active regions and level set methods for motion estimation and tracking. [Citation Graph (0, 0)][DBLP]
    Computer Vision and Image Understanding, 2005, v:97, n:3, pp:259-282 [Journal]
  40. Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh
    Non-rigid registration using distance functions. [Citation Graph (0, 0)][DBLP]
    Computer Vision and Image Understanding, 2003, v:89, n:2-3, pp:142-165 [Journal]
  41. Nikos Paragios
    Guest Editorial: Special Issue on Variational and Level Set Methods in Computer Vision. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2002, v:50, n:3, pp:235-235 [Journal]
  42. Nikos Paragios
    A Variational Approach for the Segmentation of the Left Ventricle in Cardiac Image Analysis. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2002, v:50, n:3, pp:345-362 [Journal]
  43. Nikos Paragios, Rachid Deriche
    Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2002, v:46, n:3, pp:223-247 [Journal]
  44. Nikos Paragios, Olivier D. Faugeras
    Editorial. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2006, v:69, n:1, pp:5-6 [Journal]
  45. James Williams, Nassir Navab, Nikos Paragios
    Editorial: Special Issue on Vision and Medical Imaging Activities at Siemens Corporate Research. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2006, v:70, n:2, pp:107-108 [Journal]
  46. Xiaolei Huang, Nikos Paragios, Dimitris N. Metaxas
    Shape Registration in Implicit Spaces Using Information Theory and Free Form Deformations. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:8, pp:1303-1318 [Journal]
  47. Nikos Paragios, Rachid Deriche
    Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2000, v:22, n:3, pp:266-280 [Journal]
  48. Nikos Paragios, Rachid Deriche
    Corrections to 'Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects'. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2000, v:22, n:4, pp:415- [Journal]
  49. Nikos Paragios, Olivier Mellina-Gottardo, Visvanathan Ramesh
    Gradient Vector Flow Fast Geometric Active Contours. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2003, v:26, n:3, pp:402-407 [Journal]
  50. Nikos Paragios
    Shape-driven Knowledge-based Segmentation and Tracking in Medical Image Analysis Accept with Revisions. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2003, v:22, n:6, pp:773-776 [Journal]
  51. Nikos Komodakis, Georgios Tziritas, Nikos Paragios
    Fast, Approximately Optimal Solutions for Single and Dynamic MRFs. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  52. Noura Azzabou, Nikos Paragios, Frederic Guichard, Frederic Cao
    Variable Bandwidth Image Denoising Using Image-based Noise Models. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  53. Laura Gui, Jean-Philippe Thiran, Nikos Paragios
    Joint Object Segmentation and Behavior Classification in Image Sequences. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  54. Charles Florin, Nikos Paragios, Gareth Funka-Lea, James Williams
    Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support. [Citation Graph (0, 0)][DBLP]
    IPMI, 2007, pp:38-49 [Conf]
  55. Ben Glocker, Nikos Komodakis, Nikos Paragios, Georgios Tziritas, Nassir Navab
    Inter and Intra-modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming. [Citation Graph (0, 0)][DBLP]
    IPMI, 2007, pp:408-420 [Conf]
  56. Ahmed Besbes, Nikos Komodakis, Ben Glocker, Georgios Tziritas, Nikos Paragios
    4D Ventricular Segmentation and Wall Motion Estimation Using Efficient Discrete Optimization. [Citation Graph (0, 0)][DBLP]
    ISVC (1), 2007, pp:189-198 [Conf]
  57. Charlotte Ghys, Maxime Taron, Nikos Paragios, Nikos Komodakis, Benedicte Bascle
    Expression Mimicking : From 2D Monocular Sequences to 3D Animations. [Citation Graph (0, 0)][DBLP]
    ISVC (2), 2007, pp:621-630 [Conf]
  58. Radhouène Neji, Noura Azzabou, Nikos Paragios, Gilles Fleury
    A Convex Semi-definite Positive Framework for DTI Estimation and Regularization. [Citation Graph (0, 0)][DBLP]
    ISVC (1), 2007, pp:220-229 [Conf]
  59. Ben Glocker, Nikos Komodakis, Nikos Paragios, Christian Glaser, Georgios Tziritas, Nassir Navab
    Primal/Dual Linear Programming and Statistical Atlases for Cartilage Segmentation. [Citation Graph (0, 0)][DBLP]
    MICCAI (2), 2007, pp:536-543 [Conf]
  60. Noura Azzabou, Nikos Paragios, Frederic Guichard
    Uniform and Textured Regions Separation in Natural Images Towards MPM Adaptive Denoising. [Citation Graph (0, 0)][DBLP]
    SSVM, 2007, pp:418-429 [Conf]
  61. Laura Gui, Jean-Philippe Thiran, Nikos Paragios
    A Variational Framework for the Simultaneous Segmentation and Object Behavior Classification of Image Sequences. [Citation Graph (0, 0)][DBLP]
    SSVM, 2007, pp:652-664 [Conf]
  62. Antonios Oikonomopoulos, Ioannis Patras, Maja Pantic, Nikos Paragios
    Trajectory-Based Representation of Human Actions. [Citation Graph (0, 0)][DBLP]
    Artifical Intelligence for Human Computing, 2007, pp:133-154 [Conf]

  63. Effiziente nichtlineare Registrierung mittels diskreter Optimierung. [Citation Graph (, )][DBLP]


  64. MRI Composing for Whole Body Imaging. [Citation Graph (, )][DBLP]


  65. Model-based hand tracking with texture, shading and self-occlusions. [Citation Graph (, )][DBLP]


  66. Optical flow estimation with uncertainties through dynamic MRFs. [Citation Graph (, )][DBLP]


  67. Sparsity, redundancy and optimal image support towards knowledge-based segmentation. [Citation Graph (, )][DBLP]


  68. Modeling the structure of multivariate manifolds: Shape maps. [Citation Graph (, )][DBLP]


  69. Graph commute times for image representation. [Citation Graph (, )][DBLP]


  70. Shape priors and discrete MRFs for knowledge-based segmentation. [Citation Graph (, )][DBLP]


  71. Discrete tracking of parametrized curves. [Citation Graph (, )][DBLP]


  72. Classification of tensors and fiber tracts using Mercer-kernels encoding soft probabilistic spatial and diffusion information. [Citation Graph (, )][DBLP]


  73. Beyond pairwise energies: Efficient optimization for higher-order MRFs. [Citation Graph (, )][DBLP]


  74. Robust shadow and illumination estimation using a mixture model. [Citation Graph (, )][DBLP]


  75. Beyond Loose LP-Relaxations: Optimizing MRFs by Repairing Cycles. [Citation Graph (, )][DBLP]


  76. MRF Optimization via Dual Decomposition: Message-Passing Revisited. [Citation Graph (, )][DBLP]


  77. From Uncertainties to Statistical Model Building and Segmentation of the Left Ventricle. [Citation Graph (, )][DBLP]


  78. Motion Analysis of Endovascular Stent-Grafts by MDL Based Registration. [Citation Graph (, )][DBLP]


  79. Time-Varying Linear Autoregressive Models for Segmentation. [Citation Graph (, )][DBLP]


  80. Image Denoising Based on Adapted Dictionary Computation. [Citation Graph (, )][DBLP]


  81. Variational model-based 3d building extraction from remote sensing data. [Citation Graph (, )][DBLP]


  82. Dense Registration with Deformation Priors. [Citation Graph (, )][DBLP]


  83. Clustering of the Human Skeletal Muscle Fibers Using Linear Programming and Angular Hilbertian Metrics. [Citation Graph (, )][DBLP]


  84. Group-wise MDL based registration of small animals in video sequences. [Citation Graph (, )][DBLP]


  85. Support vector driven Markov random fields towards DTI segmentation of the human skeletal muscle. [Citation Graph (, )][DBLP]


  86. Knee reconstruction through efficient linear programming. [Citation Graph (, )][DBLP]


  87. Conjoint use of coded-aperture collimators and MLEM algorithm: Towards large blood vessels reconstruction at 511 KEV. [Citation Graph (, )][DBLP]


  88. Automatic detection of liver tumors. [Citation Graph (, )][DBLP]


  89. Multi-View Stereo Reconstruction of Total Knee Replacement from X-Rays. [Citation Graph (, )][DBLP]


  90. Locally Adaptive Autoregressive Active Models for Segmentation of 3d Anatomical Structures. [Citation Graph (, )][DBLP]


  91. Unsupervised Classification of Skeletal Fibers Using Diffusion Maps. [Citation Graph (, )][DBLP]


  92. Motion-Based Enhancement of Optical Imaging. [Citation Graph (, )][DBLP]


  93. Graph-Based Knowledge-Driven Discrete Segmentation of the Left Ventricle. [Citation Graph (, )][DBLP]


  94. Atlas-Based Deformable Mutual Population Segmentation. [Citation Graph (, )][DBLP]


  95. Linear Image Registration Through MRF Optimization. [Citation Graph (, )][DBLP]


  96. Wavelet-Driven Knowledge-Based MRI Calf Muscle Segmentation. [Citation Graph (, )][DBLP]


  97. Approximated Curvature Penalty in Non-rigid Registration Using Pairwise MRFs. [Citation Graph (, )][DBLP]


  98. Task-Specific Functional Brain Geometry from Model Maps. [Citation Graph (, )][DBLP]


  99. Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics. [Citation Graph (, )][DBLP]


  100. Spatiotemporal Decomposition in Object-Space along Reconstruction in Emission Tomography. [Citation Graph (, )][DBLP]


  101. Deformable Mosaicing for Whole-Body MRI. [Citation Graph (, )][DBLP]


  102. Left Ventricle Segmentation Using Diffusion Wavelets and Boosting. [Citation Graph (, )][DBLP]


  103. Surface/Volume-Based Articulated 3D Spine Inference through Markov Random Fields. [Citation Graph (, )][DBLP]


  104. Guide-Wire Extraction through Perceptual Organization of Local Segments in Fluoroscopic Images. [Citation Graph (, )][DBLP]


  105. Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs. [Citation Graph (, )][DBLP]


  106. Model-Based Multi-view Fusion of Cinematic Flow and Optical Imaging. [Citation Graph (, )][DBLP]


  107. Simultaneous Geometric - Iconic Registration. [Citation Graph (, )][DBLP]


  108. 3D Knowledge-Based Segmentation Using Pose-Invariant Higher-Order Graphs. [Citation Graph (, )][DBLP]


  109. Clustering via LP-based Stabilities. [Citation Graph (, )][DBLP]


  110. Special issue on spatial coherence for visual motion analysis. [Citation Graph (, )][DBLP]


  111. Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual strategies. [Citation Graph (, )][DBLP]


  112. Discrete optimization in computer vision. [Citation Graph (, )][DBLP]


  113. Scene modeling and change detection in dynamic scenes: A subspace approach. [Citation Graph (, )][DBLP]


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