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Paul W. Fieguth: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Slawo Wesolkowski, Paul W. Fieguth
    Hierarchical Region Mean-Based Image Segmentation. [Citation Graph (0, 0)][DBLP]
    CRV, 2006, pp:30- [Conf]
  2. Paul W. Fieguth, Demetri Terzopoulos
    Color-Based Tracking of Heads and Other Mobile Objects at Video Frame Rates. [Citation Graph (0, 0)][DBLP]
    CVPR, 1997, pp:21-27 [Conf]
  3. James M. Rehg, Kevin P. Murphy, Paul W. Fieguth
    Vision-Based Speaker Detection Using Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    CVPR, 1999, pp:2110-2116 [Conf]
  4. Simon K. Alexander, Paul W. Fieguth, Edward R. Vrscay
    Hierarchical Annealing for Random Image Synthesis. [Citation Graph (0, 0)][DBLP]
    EMMCVPR, 2003, pp:194-210 [Conf]
  5. Paul W. Fieguth, Slawo Wesolkowski
    Highlight and Shading Invariant Color Image Segmentation Using Simulated Annealing. [Citation Graph (0, 0)][DBLP]
    EMMCVPR, 2001, pp:314-327 [Conf]
  6. Naif Alajlan, Paul W. Fieguth, Mohamed Kamel
    Robust Shape Retrieval Using Maximum Likelihood Theory. [Citation Graph (0, 0)][DBLP]
    ICIAR (1), 2004, pp:745-752 [Conf]
  7. Simon K. Alexander, Paul W. Fieguth, Edward R. Vrscay
    Parameterized Hierarchical Annealing for Scientific Models. [Citation Graph (0, 0)][DBLP]
    ICIAR (1), 2004, pp:236-243 [Conf]
  8. Zohreh Azimifar, Paul W. Fieguth, Ed Jernigan
    Textures and Wavelet-Domain Joint Statistics. [Citation Graph (0, 0)][DBLP]
    ICIAR (2), 2004, pp:331-338 [Conf]
  9. Wesley R. Campaigne, Paul W. Fieguth, Simon K. Alexander
    Frozen-State Hierarchical Annealing. [Citation Graph (0, 0)][DBLP]
    ICIAR (1), 2006, pp:41-52 [Conf]
  10. Paul W. Fieguth
    Hierarchical MCMC Sampling. [Citation Graph (0, 0)][DBLP]
    ICIAR (1), 2004, pp:114-121 [Conf]
  11. Fu Jin, Paul W. Fieguth, Lowell L. Winger
    Motion-Compensated Wavelet Video Denoising. [Citation Graph (0, 0)][DBLP]
    ICIAR (1), 2004, pp:572-579 [Conf]
  12. Fu Jin, Paul W. Fieguth, Lowell L. Winger
    Image Denoising Using Complex Wavelets and Markov Prior Models. [Citation Graph (0, 0)][DBLP]
    ICIAR, 2005, pp:73-80 [Conf]
  13. Nezamoddin Nezamoddini-Kachouie, Paul W. Fieguth
    A Narrow-Band Level-Set Method with Dynamic Velocity for Neural Stem Cell Cluster Segmentation. [Citation Graph (0, 0)][DBLP]
    ICIAR, 2005, pp:1006-1013 [Conf]
  14. Azadeh Mohebi, Paul W. Fieguth
    Posterior Sampling of Scientific Images. [Citation Graph (0, 0)][DBLP]
    ICIAR (1), 2006, pp:339-350 [Conf]
  15. Nezamoddin Nezamoddini-Kachouie, Paul W. Fieguth, Ed Jernigan
    BayesShrink Ridgelets for Image Denoising. [Citation Graph (0, 0)][DBLP]
    ICIAR (1), 2004, pp:163-170 [Conf]
  16. Nezamoddin Nezamoddini-Kachouie, Paul W. Fieguth, John Ramunas, Eric Jervis
    A Model-Based Hematopoietic Stem Cell Tracker. [Citation Graph (0, 0)][DBLP]
    ICIAR, 2005, pp:861-868 [Conf]
  17. Mahdi Sabri, Paul W. Fieguth
    A New Gabor Filter Based Kernel for Texture Classification with SVM. [Citation Graph (0, 0)][DBLP]
    ICIAR (2), 2004, pp:314-322 [Conf]
  18. Slawo Wesolkowski, Paul W. Fieguth
    Hierarchical Regions for Image Segmentation. [Citation Graph (0, 0)][DBLP]
    ICIAR (1), 2004, pp:9-16 [Conf]
  19. Zohreh Azimifar, Paul W. Fieguth, Ed Jernigan
    Wavelet shrinkage with correlated wavelet coefficients. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 2001, pp:162-165 [Conf]
  20. Zohreh Azimifar, Paul W. Fieguth, Ed Jernigan
    Towards random field modeling of wavelet statistics. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2002, pp:361-364 [Conf]
  21. Janine Cullen, Paul W. Fieguth, Shane Pounder, Kim Whitear
    Analysis of Corneal Images for Assessing Contact Lens Trauma. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  22. Paul W. Fieguth
    Hierarchical posterior sampling for images and random fields. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2003, pp:821-824 [Conf]
  23. Paul W. Fieguth
    Multipole-Motivated Reduced-State Estimation. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1998, pp:635-638 [Conf]
  24. Paul W. Fieguth
    Foveated Multiscale Models for Large-Scale Estimation. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1999, pp:871-874 [Conf]
  25. Paul W. Fieguth, William W. Irving, Alan S. Willsky
    Multiresolution model development for overlapping trees via canonical correlation analysis. [Citation Graph (0, 0)][DBLP]
    ICIP, 1995, pp:45-48 [Conf]
  26. Paul W. Fieguth, Sunil K. Sinha
    Automated Analysis and Detection of Cracks in Underground Scanned Pipes. [Citation Graph (0, 0)][DBLP]
    ICIP (4), 1999, pp:395-399 [Conf]
  27. Paul W. Fieguth, Riyin Wan
    Fast Retrieval Methods for Images with Significant Variations. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  28. Paul W. Fieguth, Alan S. Willsky, William Clement Karl
    Multiresolution Stochastic Imaging of Satellite Oceanographic Altimetric Data. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1994, pp:1-5 [Conf]
  29. Terrence T. Ho, Paul W. Fieguth, Alan S. Willsky
    Computationally Efficient Multiscale Estimation of Large-Scale Dynamic Systems. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 1998, pp:274-278 [Conf]
  30. Terrence T. Ho, Paul W. Fieguth, Alan S. Willsky
    Recursive Multiscale Estimation of Space-Time Random Fields. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1999, pp:867-870 [Conf]
  31. Michael Jamieson, Paul W. Fieguth, Leo J. Lee
    Parametric contour estimation by simulated annealing. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 2003, pp:449-452 [Conf]
  32. Fu Jin, Paul W. Fieguth, Lowell L. Winger, Ed Jernigan
    Adaptive Wiener filtering of noisy images and image sequences. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 2003, pp:349-352 [Conf]
  33. Tai Jing Moyung, Paul W. Fieguth
    Incremental Shape Reconstruction Using Stereo Image Sequences. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  34. Slawo Wesolkowski, Paul W. Fieguth
    Adaptive color image segmentation using Markov random fields. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 2002, pp:769-772 [Conf]
  35. Slawo Wesolkowski, Paul W. Fieguth
    A probabilistic framework for image segmentation. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2003, pp:451-454 [Conf]
  36. Nezamoddin Nezamodini Kachouie, Leo J. Lee, Paul W. Fieguth
    A probabilistic living cell segmentation model. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2005, pp:1137-1140 [Conf]
  37. Zohreh Azimifar, Paul W. Fieguth, Ed Jernigan
    Correlated wavelet shrinkage: models of local random fields across multiple resolutions. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 2005, pp:157-160 [Conf]
  38. Zohreh Azimifar, Paul W. Fieguth, Ed Jernigan
    Hierarchical Multiscale Modeling of Wavelet-Based Correlations. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2002, pp:850-860 [Conf]
  39. Paul W. Fieguth, William Clement Karl, Alan S. Willsky
    Efficient Multiresolution Counterparts to Variational Methods for Surface Reconstruction. [Citation Graph (0, 0)][DBLP]
    Computer Vision and Image Understanding, 1998, v:70, n:2, pp:157-176 [Journal]
  40. Sunil K. Sinha, Paul W. Fieguth
    Morphological segmentation and classification of underground pipe images. [Citation Graph (0, 0)][DBLP]
    Mach. Vis. Appl., 2006, v:17, n:1, pp:21-31 [Journal]
  41. Paul W. Fieguth
    Multiply-rooted multiscale models for large-scale estimation. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2001, v:10, n:11, pp:1676-1686 [Journal]
  42. William W. Irving, Paul W. Fieguth, Alan S. Willsky
    An overlapping tree approach to multiscale stochastic modeling and estimation. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1997, v:6, n:11, pp:1517-1529 [Journal]
  43. F. Khellah, Paul W. Fieguth, M. J. Murray, M. Allen
    Statistical processing of large image sequences. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2005, v:14, n:1, pp:80-93 [Journal]
  44. Michael K. Schneider, Paul W. Fieguth, William Clement Karl, Alan S. Willsky
    Multiscale methods for the segmentation and reconstruction of signals and images. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2000, v:9, n:3, pp:456-468 [Journal]
  45. Henry David Venema, Paul H. Calamai, Paul W. Fieguth
    Forest structure optimization using evolutionary programming and landscape ecology metrics. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2005, v:164, n:2, pp:423-439 [Journal]
  46. Azadeh Mohebi, Paul W. Fieguth
    Constrained Sampling Using Simulated Annealing. [Citation Graph (0, 0)][DBLP]
    ICIAR, 2007, pp:198-209 [Conf]

  47. Accurate Boundary Localization using Dynamic Programming on Snakes. [Citation Graph (, )][DBLP]


  48. SEC: Stochastic Ensemble Consensus Approach to Unsupervised SAR Sea-Ice Segmentation. [Citation Graph (, )][DBLP]


  49. Adaptive Monte Carlo Retinex Method for Illumination and Reflectance Separation and Color Image Enhancement. [Citation Graph (, )][DBLP]


  50. A Novel Algorithm for Extraction of the Layers of the Cornea. [Citation Graph (, )][DBLP]


  51. Automated 3D Reconstruction and Segmentation from Optical Coherence Tomography. [Citation Graph (, )][DBLP]


  52. Parallel Hidden Hierarchical Fields for Multi-scale Reconstruction. [Citation Graph (, )][DBLP]


  53. Hierarchical Sampling with Constraints. [Citation Graph (, )][DBLP]


  54. Image Resolution Enhancement with Hierarchical Hidden Fields. [Citation Graph (, )][DBLP]


  55. A Robust Modular Wavelet Network Based Symbol Classifier. [Citation Graph (, )][DBLP]


  56. VizDraw: A Platform to Convert Online Hand-Drawn Graphics into Computer Graphics. [Citation Graph (, )][DBLP]


  57. Toward an Optimal Solution for Multitarget Tracking. [Citation Graph (, )][DBLP]


  58. A perceptually adaptive approach to image denoising using anisotropic non-local means. [Citation Graph (, )][DBLP]


  59. Robust snake convergence based on dynamic programming. [Citation Graph (, )][DBLP]


  60. Statistical fusion and sampling of scientific images. [Citation Graph (, )][DBLP]


  61. Correlated non-linear wavelet shrinkage. [Citation Graph (, )][DBLP]


  62. Background estimation for microscopic cellular images. [Citation Graph (, )][DBLP]


  63. Probabilistic estimation of Braille document parameters. [Citation Graph (, )][DBLP]


  64. A Combined Bayesshrinkwavelet-Ridgelet Technique for Image Denoising. [Citation Graph (, )][DBLP]


  65. Phase-adaptive image signal fusion using complex-valued wavelets. [Citation Graph (, )][DBLP]


  66. An adaptive Monte Carlo approach to nonlinear image denoising. [Citation Graph (, )][DBLP]


  67. Adaptive Nonlinear Image Denoising and Restoration Using a Cooperative Bayesian Estimation Approach. [Citation Graph (, )][DBLP]


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