Nikos Paragios - Research

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  2011

Books/Proceedings

  • N. Paragios, N. Ayache & J. Duncan. Biomedical Image Analysis:  Methodologies and Applications, Springer, 2010.

Journal Publications

  1. B. Glocker, A. Sotiras, N. Komodakis & N. Paragios. Discrete Medical Image Registration/Fusion. Annual Reviews in Biomedical Engineering (AR), 2011.

  2. M. de la Gorce, D. Fleet & N. Paragios. Model-based 3D Hand Pose Estimation from Monocular Video. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), (in press).

  3. N. Komodakis, N. Paragios & G. Tziritas. MRF Energy Minimization and Beyond via Dual Decomposition, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), (in press).

  4. Y. Ou, A. Sotiras, N. Paragios & C. Davatzikos. DRAMMS: Deformable Registration via Attribute Matching and Mutual-Saliency Weighting, Medical Image Analysis, (MediIA), (in press).

  5. G. Langs, N. Paragios, P. Desgranges, A. Rahmouni & H. Kobeiter. Learning Deformation and Structure Simultaneously: In Situ Endograft Deformation Analysis, Medical Image Analysis, (MediIA), (in press).

  6. D. Zikic, B. Glocker, O.  Kuttera, M. Grohera, N.  Komodakis, A. Kamen, N. Paragios & N. Navab. Linear Intensity-based Image Registration by Markov Random Fields and Discrete Optimization., Medical Image Analysis,  (MediIA), (in press).

  7. L. Simon, O. Teboul, P. Koutsourakis & N. Paragios. Random Exploration of the Procedural Space for Single-View 3D Modeling of Buildings, International Journal of Computer Vision (IJCV), (in press).

  8. N. Azzabou & N. Paragios. Spatio-temporal Speckle Reduction in Ultrasound Images. Inverse Problems in Imaging (IPI), 2010.

  9. N. Azzabou, N. Paragios & F. Guichard. Image Reconstruction Using Particle Filters and Multiple Hypotheses Testing, IEEE Transactions on Image Processing, 2010.

  10. K. Karantzalos & N. Paragios. Large-Scale Building Reconstruction through Information Fusion and 3D Priors, IEEE Transactions on Geo-science and Remote Sensing, 2010.

  11. M. de la Gorce & N. Paragios. A Variational Approach to Monocular Hand-pose Estimation, Computer Vision and Image Understanding (CVIU), Vol 114, pages 363–372, 2010.

  12. Karantzalos K. and Paragios N. Recognition-Driven 2D Competing Priors Towards Automatic And Accurate Building Detection, IEEE Transactions on Geoscience and Remote Sensing, Volume 47, Issue 1, pages 133-144, 2009.

  13. A. Mittal, A. Monnet & N. Paragios. Scene Modeling and Change Detection in Dynamic Scenes: A Subspace Approach. Computer Vision and Image Understanding Journal, Vol. 113, pages 63-79, 2009.

  14. M. Taron, N. Paragios and M.-P. Jolly. Registration with Uncertainties and Statistical Modeling of Shapes with Variable Metric Kernels. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, pages 99-113, 2009.

  15. K. Varshney, N. Paragios, J-F. Deux A. Kulski, R. Raymond, P. Hernigou, & A. Rahmouni. Post-Arthroplasty Examination Using X-Ray Images. IEEE Transactions on Medical Image Analysis, vol 28, pages 469-474, 2009.

  16. L. Gui, J.-P. Thiran & N. Paragios. Cooperative Object Segmentation and Behavior Inference in Image Sequences. International Journal of Computer Vision, (in press).

  17. M. Rousson & N. Paragios. Prior Knowledge, Level Set Representations and Visual Grouping. International Journal of Computer Vision Vol. 76, No. 3, pp. 231-243, 2008.

  18. B. Glocker, N. Komodakis, G. Tziritas, N. Navab & N. Paragios. Dense Image Registration through MRFs and Efficient Linear Programming. Medical Image Analysis, Vol. 12, pages 731-741, 2008.

  19. N. Komodakis, G. Tziritas & N. Paragios. Performance vs Computational Efficiency for Optimizing Single and Dynamic MRFs: Setting the State of the Art with Primal Dual Strategies. Computer Vision and Image Understanding Journal, Vol 112, pages 14-29, 2009.

  20. J.-F. Deux, P. Malzy, N. Paragios, G. Bassez, A. Luciani, P. Zerbiba, F. Roudot-Thoraval, A. Vignaud & A. Rahmouni. Assessment of calf muscles contraction by Diffusion Tensor Imaging. European Radiology, Vol 18, pages 2303-2010, 2008.

  21. X. Huang, N. Paragios & D. Metaxas. Shape Registration in Implicit Spaces using Information Theory and Free Form Deformations, IEEE Transactions on Pattern Analysis and Machine Intelligence,  (Vol. 28, No. 8), pp. 1303-1318, 2006.

  22. N. Paragios & R. Deriche. Geodesic Active Regions and Level Set Methods for Motion Estimation and Tracking. Computer Vision and Image Understanding, 97(3), pp. 259-282, 2005.

  23. N. Paragios, O. Mellina-Gottardo & V. Ramesh. Gradient Vector Flow Fast Geometric Active Contours. IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 402-407, 2004.

  24. N. Paragios. Shape-based Segmentation and Tracking in Cardiac Image Analysis. IEEE Transactions on Medical Image Analysis, pp. 402-407, 2003.

  25. N. Paragios, M. Rousson & V. Ramesh. Distance Functions for Non-Rigid Registration. Computer Vision and Image Understanding, pp. 142-165,  2003.

  26. N. Paragios. A Variational Approach for the Segmentation of the Left Ventricle. International Journal of Computer Vision, pp. 345-362, 2002.

  27. N. Paragios & R. Deriche. Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation. International Journal of Computer Vision, pp. 223-247, 2002.

  28. N. Paragios & R. Deriche. Geodesic Active Regions: A New Paradigm to Deal with Frame Partition Problems in Computer Vision.  Journal of Visual Communication and Image Representation, pp. 249-268, 2002.

  29. N. Paragios & R. Deriche. Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects. IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 266-280, 2000.

  30. N. Paragios & G. Tziritas. Adaptive Detection and Localization of Moving Objects in Image Sequences. Signal Processing: Image Communication, pp 277-296, 1999.

Book Chapters/Invited Publications

  • N. Paragios, M. Taron, X. Huang, M. Rousson & D. Metaxas. On the Represantation of Shapes Using Implicit Functions. in Statistics and Analysis of Shapes  (Krim & Yezzi),  Springer Verlag, 2005.

  • N. Paragios. Variational Methods and Partial Differential Equations in Cardiac Image Analysis. Invited Publication : IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004.

  • N. Paragios. Level Set Methods & Visual Grouping. in Mathematical Models of Computer Vision: The Handbook (Paragios, Chen & Faugeras),  Springer Verlag, 2005.

  • N. Paragios & M. Rousson. Shape Analysis towards Model-based Segmentation. in Geometric Level Set Methods in Imaging Vision and Graphics (Osher & Paragios),  Springer Verlag, ISBN 0387954880, 2003.

  • N. Paragios & R. Deriche. Variational Principles in Optical Flow Estimation and Tracking. in Geometric Level Set Methods in Imaging Vision and Graphics (Osher & Paragios),  Springer Verlag, ISBN 0387954880, 2003.

  • N. Paragios, D. Comaniciu, M. Grefennhagen & V. Ramesh. Rea-time Analysis at Siemens Corporate Research. in Video-based Surveillance Systems: Computer Vision and Distributed Processing (Remaggino, Jones, Paragios & Reggazoni),  Kluwer Academic Press, ISBN 0792376323, 2001.

Top Rank Conference Publications (ICCV,CVPR, ECCV, ,IPMI, MICCAI, NIPS)

  1. S. Alchatzidis, A. Sotiras & N. Paragios. Efficient parallel message computation for MAP inference, IEEE International Conference in Computer Vision (ICCV'2011)

  2. C. Wang ,Y. Zeng , L. Simon , I. Kakadiaris , D. Samaras & N. Paragios. Viewpoint Invariant 3D Model Inference from Monocular 2D Images Using Higher-Order Priors, IEEE International Conference in Computer Vision (ICCV'2011)

  3. U. Kurkure ,Y. Le T. Ju , J. Carson ,N. Paragios & I. Kakadiaris. Subdivision-based Deformable Model for Geometric Atlas Fitting, IEEE International Conference in Computer Vision (ICCV'2011)

  4. N. Honnorat, R. Vailant & N. Paragios. Graph-based Geometric-Iconic Guide-wire Tracking, Medical Image Computing and Computer Assisted Intervention (MICCAI'2011)

  5. H. Langet, C. Riddell, Y. Trousset, A. Tenenhaus, E. Lahalle, G. Fleury & N. Paragios. Compressed Sensing Based 3D Tomographic Reconstruction for Rotational Angiography, Medical Image Computing and Computer Assisted Intervention (MICCAI'2011)

  6. S. Parisot, H. Dufaut, S. Chemouny & N. Paragios. Graph Based Spatial Position Mapping of Low-grade Gliomas, Medical Image Computing and Computer Assisted Intervention (MICCAI'2011)

  7. C. Wang, H. Boussaid, L. Simon & N. Paragios. Pose-invariant 3D Proximal Femur Estimation through Bi-Planar Image Segmentation with Hierarchical Higher-Order Graph-based Priors, Medical Image Computing and Computer Assisted Intervention (MICCAI'2011)

  8. E. Kokiopoulou, M. Zervos, D. Kressner & N. Paragios. Optimal Similarity Registration of Volumetric Images. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'11).

  9. U. Kurkure, Y. Le, N. Paragios, J. Carson, T. Ju & I. Kakadiaris. Landmark/Image-based Deformable Registration of Gene Expression Data.IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'11).

  10. A. Panagopoulos, C. Wang, D. Samaras & N. Paragios. Illumination Estimation and Cast Shadow Detection through a Higher-order Graphical Model. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'11).

  11. O. Teboul, I. Kokkinos, P. Koutsourakis L. Simon & N. Paragios. Shape Grammar Parsing via Reinforcement Learning. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'11).

  12. Y. Zeng, C. Wang Y. Wang, D. Gu, D. Samaras & N. Paragios. Intrinsic Dense 3D Surface Tracking. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'11).

  13. M. Bronstein, A. Bronstein, F. Michel & N. Paragios. Data Fusion through Cross-modality Metric Learning using Similarity-Sensitive Hashing. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'10).

  14. O. Teboul, L. Simon, P. Koutsourakis & N. Paragios. Segmentation of Building Facades Using Procedural Shape Priors. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'10).

  15. Y. Zeng, C. Wang , Y. Wang X. Gu , D. Samaras & N. Paragios. Dense Non-rigid Surface Registration Using High-Order Graph Matching. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'10).

  16. N. Honnorat, R. Vaillant & N. Paragios. Guide-wire Extraction through Perceptual Organization of Local Segments in Fluoroscopic Images,  International Conference, Medical Image Computing and Computer Assisted Intervention (MICCAI'10).

  17. S. Kadoury & N. Paragios. Nonlinear Embedding towards Articulated Spine Shape Inference using Higher-Order MRFs,  International Conference, Medical Image Computing and Computer Assisted Intervention (MICCAI'10).

  18. M. Savinaud, M. de la Gorce, S. Maitrejean & N. Paragios. Model-based Multi-view Fusion of Cinematic Flow and Optical Imaging,  International Conference, Medical Image Computing and Computer Assisted Intervention (MICCAI'10).

  19. A. Sotiras, Y. Ou, B. Glocker, C. Davatzikos & N. Paragios. Simultaneous Geometric - Iconic Registration,  International Conference, Medical Image Computing and Computer Assisted Intervention (MICCAI'10).

  20. C. Wang, O. Teboul, F. Michel, S. Essafi & N. Paragios. 3D Knowledge-based Segmentation using Pose-Invariant Higher-Order Graphs,  International Conference, Medical Image Computing and Computer Assisted Intervention (MICCAI'10).

  21. J. Honorio, D. Samaras & N. Paragios. Sparse and Locally Constant Gaussian Graphical Models, Neural Information Processing Systems (NIPS'09).

  22. S. Essafi, G. Langs & N. Paragios. Hierarchical 3D Diffusion Wavelets Shape Priors. IEEE International Conference in Computer Vision (ICCV'09).

  23. P. Koutsourakis, O. Teboul, L. Simon, G. Tziritas & N. Paragios. Single View Reconstruction Using Shape Grammars for Urban Environments. IEEE International Conference in Computer Vision (ICCV'09).

  24. C. Wang, M. de la Gorge & N. Paragios. Segmentation, Ordering and Tracking using Graphical Models. IEEE International Conference in Computer Vision (ICCV'09).

  25. S. Essafi, G. Langs & N. Paragios. Left Ventricle Segmentation Using Diffusion Wavelets Prior & Boosting. International Conference on Medical image computing and computer assisted intervention (MICCAI'09).

  26. S. Kadoury & N. Paragios. Surface/Volume-based Articulated 3D Spine Inference through Markov Random Fields. International Conference on Medical image computing and computer assisted intervention (MICCAI'09).

  27. A. Sotiras, N. Komodakis, B. Glocker & N. Paragios. Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics. International Conference on Medical image computing and computer assisted intervention (MICCAI'09).

  28. B. Glocker, N. Komodakis, G. Tzirtias, N. Navab and N. Paragios. Manifold-Enhanced Image Registration, Information Processing in Medical Imaging (IPMI'09).

  29. R. Neji, A. Besbes, N. Komodakis, J-F. Deux, M. Maatou, A. Rahmouni, G. Bassez, G. Fleury & N. Paragios. A novel method for clustering of skeletal muscle fibers from DTI based on an angular Hilbertian metrics using linear programming, Information Processing in Medical Imaging (IPMI'09).

  30. A. Panagopoulos, D. Samaras & N. Paragios. Robust Shadow and Illumination Estimation Using a Mixture Model.  IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'09).

  31. A. Besbes, N. Komodakis, N. Paragios and G. Langs. Shape Priors and Discrete MRFs for Knowledge-based Segmentation. IEEE Conference in Computer Vision and Pattern Recognition (CVPR'09).

  32. H. Heibel, B. Glocker, M. Groher, N. Paragios, N. Komodakis, N. Navab. Discrete Tracking of Parametrized Curves IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'09).

  33. N. Komodakis & N. Paragios. Beyond Pairwise Energies: Efficient Optimization for Higher-order MRFs. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'09).

  34. R. Neji, N. Paragios, G. Fleury, J-P. Thiran & G. Langs. Classification of Tensors and Fiber Tracts Using Mercer-Kernels Encoding Soft Probabilistic Spatial and Diffusion Information.  IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'09).

  35. A. Panagopoulos, D. Samaras & N. Paragios. Robust Shadow and Illumination Estimation Using a Mixture Model.  IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'09).

  36. N. Azzabou & N. Paragios. Spatio-Temporal Speckle Reduction In Ultrasound Sequences. International Conference on Medical image computing and computer assisted intervention (MICCAI'08).

  37. X. Hubert, D. Chambellan, S. Legoupil, J.R Deverre & N. Paragios. Spatio-temporal decomposition in object-space along reconstruction in emission tomography. International Conference on Medical image computing and computer assisted intervention (MICCAI'08).

  38. G. Langs, D. Samaras & N. Paragios. Task-Specific Functional Brain Geometry from Model Maps. International Conference on Medical image computing and computer assisted intervention (MICCAI'08).

  39. C. Wachinger, B. Glocker, J. Zeltner, N. Paragios, N. Komodakis, M.S. Hansen, N. Navab. Deformable Mosaicing for Whole-body MRI. International Conference on Medical image computing and computer assisted intervention (MICCAI'08).

  40. R. Behmo, N. Paragios & V. Prinnet. Graph commute times for image representation. IEEE Conference in Computer Vision and Pattern Recognition (CVPR'08), in press.

  41. M. de la Gorce, N. Paragios & D. Fleet. Model-Based Hand tracking with Texture, Shading and Self-occlusions. IEEE Conference in Computer Vision and Pattern Recognition (CVPR'08), in press.

  42. S. Essafi, G. Langs & N. Paragios. Sparsity, Redundancy & Optimal Image Support towards Knowledge-based Segmentation. IEEE Conference in Computer Vision and Pattern Recognition (CVPR'08), in press.

  43. B. Glocker, N. Paragios, N. Komodakis, G.Tziritas & N. Navab. Optical Flow Estimation with Uncertainties through Dynamic MRFs. IEEE Conference in Computer Vision and Pattern Recognition (CVPR'08), in press.

  44. K. Karantzalos & N. Paragios. Model-Based Building Detection From Single Panchromatic High Resolution Images. XXI Congress of the International Society for Photogrammetry & Remote Sensing, 2008 (in press).

  45. N. Komodakis & N. Paragios. Beyond Loose LP-relaxations: Optimizing MRFs by Repairing Cycles. European Conference in Computer Vision , 2008 (in press).

  46. N. Komodakis, N. Paragios and G. Tziritas. Clustering via LP-based Stabilities, Neural Information Processing Systems, 2008 (in press).

  47. G. Langs & N. Paragios. Modeling the structure of multivariate manifolds: Shape Maps. IEEE Conference in Computer Vision and Pattern Recognition (CVPR'08), in press.

  48. N. Komodakis, N. Paragios & G. Tziritas. MRF Optimization via Dual Decomposition: Message-Passing Revisited, IEEE International Conference in Computer Vision  (ICCV), 2007.

  49. N. Azzabou, N. Paragios, F. Cao & F. Guichard. Variable Bandwidth Image Denoising with Explicit Use of Image-based Parameter-free Noise Models. IEEE Conference in Computer Vision and Pattern Recognition, (CVPR'07).

  50. L. Gui, J-P. Thiran & N. Paragios. Simultaneous Segmentation and Object Behavior Classification of Image Sequences. IEEE Conference in Computer Vision and Pattern Recognition, (CVPR'07).

  51. N. Komodakis, G. Tziritas & N. Paragios. Fast, Approximately Optimal Solutions for Single and Dynamic MRFs. IEEE Conference in Computer Vision and Pattern Recognition, (CVPR'07).

  52. B. Glocker, N. Komodakis, N. Paragios, D. Glasser, G. Tziritas & N. Navab. Primal/Dual Linear Programming and Statistical Atlases for Cartilage Segmentation, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'07).

  53. C. Florin, N. Paragios, G. Funka-Lea & J. Williams. Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support. Information Processing in Medical Imaging (IPMI'07).

  54. B. Glocker, N. Komodakis,  N. Paragios, G. Tziritas & N. Navab. Inter and Intra-Modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming. Information Processing in Medical Imaging (IPMI'07).

  55. N. Azzabou, N. Paragios & F. Guichard. Random Walks, Constrained Multiple Hypotheses Testing and Image Enhancement. European Conference in Computer Vision (ECCV), 2006.
  56. C. Florin, N. Paragios & J. Williams. Globally Optimal Active Contours, Sequential Monte Carlo and On-line Learning for Vessel Segmentation. European Conference in Computer Vision (ECCV), 2006.
  57. M. Taron, N. Paragios & M.-P. Jolly. Modelling Shapes with Uncertainties : Higher Order Polynomials, Variable Bandwidth Kernels and Non-Parametric Density Estimation. IEEE International Conference in Computer Vision  (ICCV), 2005.
  58. S. Lim, A. Mittal, L. Davis & N. Paragios. Fast Illumination-invariant Background Subtraction using Two Views: Error Analysis, Sensor Placement and Applications. In IEEE Conference in Computer Vision and Pattern Recognition (CVPR), 2005.
  59. C. Florin, N. Paragios & J. Williams. Particle Filters, a Quasi-Monte Carlo solution for segmentation of coronaries, In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2005.

  60. A. Mittal & N. Paragios. Motion-based Background Subtraction Using Adaptive Kernel Density Estimation. In IEEE Conference in Computer Vision and Pattern Recognition (CVPR), 2004.

  61. M. Taron, N. Paragios & M.-P. Jolly. Border Detection on Short Axis Echocardiographic Views Using an Ellipse Driven Region-based Framework. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2004.

  62. M. Rousson, N. Paragios & R. Deriche. Implicit Active Shape Models for 3D Segmentation in MRI Imaging In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2004.

  63. A. Monnet, A. Mittal, N. Paragios & V. Ramesh. Background Modeling and Subtraction of Dynamic Scenes. In IEEE International Conference in Computer Vision  (ICCV), pp. 1305-1312, 2003.

  64. N. Paragios. User and Computer-Aided Boundary Delineation through the Propagation of Implicit Surfaces. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2003.

  65. X. Huang, N. Paragios & D. Metaxas. Establishing Local Correspondences towards Compact Representations of Anatomical Structures. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2003.

  66. M. Rousson & N. Paragios. Shape Priors for Level Set Representations. In European Conference in Computer Vision  (ECCV), pp. II: 78-93, 2002.

  67. N. Paragios, M. Rousson & V. Ramesh. Matching Distance Functions: A Shape to Area Variational Approach for Global to Local Registration. In European Conference in Computer Vision  (ECCV), pp. II: 775-790, 2002.

  68. N. Paragios & V. Ramesh. A MRF-based Real-Time Approach for Subway Monitoring. In IEEE Conference in Computer Vision and Pattern Recognition (CVPR), pp. I:1034-1040, 2001.

  69. N. Paragios, O. Mellina-Gottardo & V. Ramesh. Gradient Vector Flow Fast Geodesic Active Contours. In IEEE International Conference in Computer Vision  (ICCV), pp. I:67-73, 2001.

  70. B. Stenger, V. Ramesh, N. Paragios, F. Coetzee & J. Bouhman. Topology-free Hidden Markov Models: Application to Background Modeling. In IEEE International Conference in Computer Vision  (ICCV), pp. I:294-301, 2001.

  71. N. Paragios & R. Deriche. Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach. In European Conference in Computer Vision  (ECCV), pp. II: 224-240, 2000.

  72. N. Paragios & R. Deriche. Geodesic Active Regions for Supervised Texture Segmentation. In IEEE International Conference in Computer Vision  (ICCV), pp. II: 224-240, 1999.

  73. N. Paragios & R. Deriche. Geodesic Active Regions for Motion Estimation and Tracking. In IEEE International Conference in Computer Vision  (ICCV), pp. II: 224-240, 1999.

  74. N. Paragios & R. Deriche. Unifying Boundary and Region-based Information for Geodesic Active Tracking. In IEEE Conference in Computer Vision and Pattern Recognition (CVPR), pp. I:1034-1040,1999.

  75. N. Paragios & R. Deriche. Geodesic Active Contours for Supervised Texture Segmentation. In IEEE Conference in Computer Vision and Pattern Recognition (CVPR), pp. I:1034-1040, 1999.

  76. N. Paragios & R. Deriche. A PDE-based Level Set Approach for Detection and Tracking of Moving Objects. In IEEE International Conference in Computer Vision  (ICCV), pp. II: 224-240, 1998.

Ordinary Rank Conference Publications

  • H. Boussaid, S. Kadoury, I. Kokkinos, J.-Y. Lazennec, G. Zheng & N. Paragios Paragios, 3D Model-based Reconstruction of the Proximal Femur from Low-dose Biplanar X-Ray Images. British Machine Vision Conference (BMVC'11)

  • C. Wang, M. Bronstein & N. Paragos. Discrete minimum distortion correspondence problems for non-rigid shape matching. International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'11).

  • K. Karantzalos and N. Paragios. Variational Model-Based 3D Building Extraction From Remote Sensing Data, IEEE International Conference in Image Processing (ICIP'09).

  • N. Komodakis, A. Besbes, B. Glocker & N. Paragios. Biomedical Image Analysis Using Markov Random Fields & Efficient Linear Programming. International Conference of the IEEE Engineering in Medicine and Biology Society ( EMBC'09) [invited publication].

  • L. Gui, J-P. Thiran & N. Paragios. Finger-spelling Recognition within a Collaborative Segmentation/Behavior Inference Framework. European Signal Processing Conference (EUSIPCO-08).

  • N. Azzabou, N. Paragios & F. Guichard. Uniform and textured Regions Separation in Natural images towards Adaptive Denoising. International Conference on Scale Space Theories and Variational Methods (SSVM'07), in press.

  • L. Gui, J-P. Thiran & N. Paragios. A Variational Framework for the Simultaneous Segmentation and Classification of Object Behavior in Image Sequences. International Conference on Scale Space Theories and Variational Methods (SSVM'07), in press.

  • N. Azzabou, N. Paragios & F. Guichard. Image denoising based on adapted dictionary computation, IEEE International Conference on Image Processing (ICIP'07), in press.

  • C. Florin, N. Paragios, G. Funka-Lea & J. Williams. Time-Varying Linear Autoregressive Models for Segmentation, IEEE International Conference on Image Processing (ICIP'07), in press.

  • M. de la Gorce & N. Paragios. Monocular Hand Pose Estimation Using Variable Metric Gradient-Descent. 17th British Machine Vision Conference, (BMVC) 2006.

  • C. Allene & N. Paragios. Image Renaissance Using Discrete Optimization. 18th IARP International Conference on Pattern Recognition, (ICPR) 2006.

  • P. Etyngier, N. Paragios & Y. Genc. Radon space and Adaboost for Pose Estimation. 18th IARP International Conference on Pattern Recognition, (ICPR) 2006.

  • M. Taron, C. Ghys & N. Paragios. Uncertainties-driven Surface Morphing: The case of Photo-realistic Transitions between Facial Expressions. 18th IARP International Conference on Pattern Recognition, (ICPR) 2006.

  • M. de la Gorce & N. Paragios. Fast Dichotomic Multiple Search Algorithm for Shortest Cirular Path. 18th IARP International Conference on Pattern Recognition, (ICPR) 2006.
  • K. Karantzalos & N. Paragios. Higher Order Polynomials, Free Form Deformations and Optical Flow Estimation. IEEE International Conference on Image Processing, (2005).
  • N. Paragios, M.-P. Jolly, M. Taron & R. Ramaraj. Active Shape Models & Segmentation of the Left Ventricle in Echocardiography. International Conference on Scale Space Theories and PDEs methods in Computer Vision, (2005).

  • S. Lim, A. Mital, L. Davis & N. Paragios. Uncalibrated Stereo Rectification for Automatic 3D Surveillance. IEEE International Conference in Image Processing (ICIP), 2004.

  • N. Paragios & R. Deriche. Detecting Multiple Moving Targets Using Deformable Contours. IEEE International Conference in Image Processing (ICIP), pp. I: 183-186, 1997.
  • N. Paragios & G. Tziritas. Detection and Location of Moving Objects Using Deterministic Relaxation Algorithms. In IARP International Conference in Pattern Recognition  (ICPR), pp. II: 224-240, 1996.
  • N. Paragios, P. Perz, G. Tziritas, P. Bouthemy & C. Labit. Adaptive Detection of Moving Objects Using Multi-Scale Techniques. IEEE International Conference in Image Processing (ICIP), pp. I: 525-528, 1996.

Symposiums/Workshops