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Eero P. Simoncelli: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Hany Farid, Eero P. Simoncelli
    Optimally Rotation-Equivariant Directional Derivative Kernels. [Citation Graph (0, 0)][DBLP]
    CAIP, 1997, pp:207-214 [Conf]
  2. Jeffrey Mendelsohn, Eero P. Simoncelli, Ruzena Bajcsy
    Discrete-Time Rigidity-Constrained Optical Flow. [Citation Graph (0, 0)][DBLP]
    CAIP, 1997, pp:255-262 [Conf]
  3. Yufeng Liang, Eero P. Simoncelli, Zhibin Lei
    Color Channels Decorrelation by ICA Transformation in the Wavelet Domain for Color Texture Analysis and Synthesis. [Citation Graph (0, 0)][DBLP]
    CVPR, 2000, pp:1606-1610 [Conf]
  4. Eero P. Simoncelli, Hany Farid
    Direct Differential Range Estimation Using Optical Masks. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 1996, pp:82-93 [Conf]
  5. Eero P. Simoncelli, Hany Farid
    Steerable Wedge Filters. [Citation Graph (0, 0)][DBLP]
    ICCV, 1995, pp:189-194 [Conf]
  6. Javier Portilla, Eero P. Simoncelli
    Image Denoising via Adjustment of Wavelet Coefficient Magnitude Correlation. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  7. Javier Portilla, Eero P. Simoncelli
    Image restoration using Gaussian scale mixtures in the wavelet domain. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2003, pp:965-968 [Conf]
  8. Eero P. Simoncelli
    Design of Multi-Dimensional Derivative Filters. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1994, pp:790-794 [Conf]
  9. Eero P. Simoncelli, R. T. Buccigrossi
    Embedded Wavelet Image Compression Based On A Joint Probability Model. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1997, pp:640-643 [Conf]
  10. Eero P. Simoncelli, Javier Portilla
    Texture Characterization via Joint Statistics of Wavelet Coefficient Magnitudes. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1998, pp:62-66 [Conf]
  11. Vasily Strela, Javier Portilla, Martin J. Wainwright, Eero P. Simoncelli
    Adaptive Wiener denoising using a Gaussian scale mixture model in the wavelet domain. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2001, pp:37-40 [Conf]
  12. Martin J. Wainwright, Eero P. Simoncelli, Alan S. Willsky
    Random Cascades of Gaussian Scale Mixtures and Their Use in Modeling Natural Images With Application to Denoising. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  13. Nicolas Bonnier, Eero P. Simoncelli
    Locally adaptive multiscale contrast optimization. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2005, pp:949-952 [Conf]
  14. Zhou Wang, Eero P. Simoncelli
    An adaptive linear system framework for image distortion analysis. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 2005, pp:1160-1163 [Conf]
  15. Jonathan Pillow, Liam Paninski, Eero P. Simoncelli
    Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  16. Odelia Schwartz, E. J. Chichilnisky, Eero P. Simoncelli
    Characterizing Neural Gain Control using Spike-triggered Covariance. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:269-276 [Conf]
  17. Odelia Schwartz, Eero P. Simoncelli
    Natural Sound Statistics and Divisive Normalization in the Auditory System. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:166-172 [Conf]
  18. Eero P. Simoncelli, Odelia Schwartz
    Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:153-159 [Conf]
  19. Alan Stocker, Eero P. Simoncelli
    Constraining a Bayesian Model of Human Visual Speed Perception. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  20. Alan Stocker, Eero P. Simoncelli
    Sensory Adaptation within a Bayesian Framework for Perception. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  21. Martin J. Wainwright, Eero P. Simoncelli
    Scale Mixtures of Gaussians and the Statistics of Natural Images. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:855-861 [Conf]
  22. Zhou Wang, Eero P. Simoncelli
    Local Phase Coherence and the Perception of Blur. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  23. Felix A. Wichmann, Arnulf B. A. Graf, Eero P. Simoncelli, Heinrich H. Bülthoff, Bernhard Schölkopf
    Machine Learning Applied to Perception: Decision Images for Gender Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  24. Roberto Valerio, Eero P. Simoncelli, Rafael Navarro
    Directly Invertible Nonlinear Divisive Normalization Pyramid for Image Representation. [Citation Graph (0, 0)][DBLP]
    VLBV, 2003, pp:331-340 [Conf]
  25. Javier Portilla, Eero P. Simoncelli
    A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2000, v:40, n:1, pp:49-70 [Journal]
  26. Samuel Mikaelian, Eero P. Simoncelli
    Modeling temporal response characteristics of V1 neurons with a dynamic normalization model. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:38, n:, pp:1461-1467 [Journal]
  27. Liam Paninski, Jonathan Pillow, Eero P. Simoncelli
    Comparing integrate-and-fire models estimated using intracellular and extracellular data. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:65, n:, pp:379-385 [Journal]
  28. Jonathan Pillow, Eero P. Simoncelli
    Biases in white noise analysis due to non-Poisson spike generation. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:52, n:, pp:109-115 [Journal]
  29. Liam Paninski, Jonathan Pillow, Eero P. Simoncelli
    Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding Model. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:12, pp:2533-2561 [Journal]
  30. Jeffry Nimeroff, Eero P. Simoncelli, Julie Dorsey, Norman I. Badler
    Rendering Spaces for Architectural Environments. [Citation Graph (0, 0)][DBLP]
    Presence, 1995, v:4, n:3, pp:286-296 [Journal]
  31. Robert W. Buccigrossi, Eero P. Simoncelli
    Image compression via joint statistical characterization in the wavelet domain. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1999, v:8, n:12, pp:1688-1701 [Journal]
  32. Hany Farid, Eero P. Simoncelli
    Differentiation of discrete multidimensional signals. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2004, v:13, n:4, pp:496-508 [Journal]
  33. Jesus Malo, Irene Epifanio, Rafael Navarro, Eero P. Simoncelli
    Nonlinear image representation for efficient perceptual coding. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2006, v:15, n:1, pp:68-80 [Journal]
  34. Javier Portilla, Vasily Strela, Martin J. Wainwright, Eero P. Simoncelli
    Image denoising using scale mixtures of Gaussians in the wavelet domain. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2003, v:12, n:11, pp:1338-1351 [Journal]
  35. Eero P. Simoncelli, Hany Farid
    Steerable wedge filters for local orientation analysis. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1996, v:5, n:9, pp:1377-1382 [Journal]
  36. Zhou Wang, Alan C. Bovik, Hamid R. Sheikh, Eero P. Simoncelli
    Image quality assessment: from error visibility to structural similarity. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2004, v:13, n:4, pp:600-612 [Journal]
  37. Zhou Wang, Guixing Wu, Hamid R. Sheikh, Eero P. Simoncelli, En-Hui Yang, Alan C. Bovik
    Quality-aware images. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2006, v:15, n:6, pp:1680-1689 [Journal]
  38. Eero P. Simoncelli, William T. Freeman, Edward H. Adelson, David J. Heeger
    Shiftable multiscale transforms. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1992, v:38, n:2, pp:587-607 [Journal]
  39. David K. Hammond, Eero P. Simoncelli
    Image Denoising with an Orientation-Adaptive Gaussian Scale Mixture Model. [Citation Graph (0, 0)][DBLP]
    ICIP, 2006, pp:1433-1436 [Conf]
  40. Siwei Lyu, Eero P. Simoncelli
    Statistical Modeling of Images with Fields of Gaussian Scale Mixtures. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:945-952 [Conf]
  41. Martin Raphan, Eero P. Simoncelli
    Learning to be Bayesian without Supervision. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1145-1152 [Conf]

  42. Nonlinear image representation using divisive normalization. [Citation Graph (, )][DBLP]


  43. Statistically Driven Sparse Image Approximation. [Citation Graph (, )][DBLP]


  44. Optimal Denoising in Redundant Bases. [Citation Graph (, )][DBLP]


  45. A Machine Learning Framework for Adaptive Combination of Signal Denoising Methods. [Citation Graph (, )][DBLP]


  46. Image denoising using mixtures of Gaussian scale mixtures. [Citation Graph (, )][DBLP]


  47. Quantifying color image distortions based on adaptive spatio-chromatic signal decompositions. [Citation Graph (, )][DBLP]


  48. A Bayesian Model of Conditioned Perception. [Citation Graph (, )][DBLP]


  49. Reducing statistical dependencies in natural signals using radial Gaussianization. [Citation Graph (, )][DBLP]


  50. Contextually adaptive signal representation using conditional principal component analysis. [Citation Graph (, )][DBLP]


  51. Perceptual quality assessment of color images using adaptive signal representation. [Citation Graph (, )][DBLP]


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