| 2008 |
|---|
| 50 | EE | Siwei Lyu,
Eero P. Simoncelli:
Nonlinear image representation using divisive normalization.
CVPR 2008 |
| 49 | EE | Jose A. Guerrero-Colon,
Eero P. Simoncelli,
Javier Portilla:
Image denoising using mixtures of Gaussian scale mixtures.
ICIP 2008: 565-568 |
| 48 | EE | Siwei Lyu,
Eero P. Simoncelli:
Reducing statistical dependencies in natural signals using radial Gaussianization.
NIPS 2008: 1009-1016 |
| 47 | EE | David K. Hammond,
Eero P. Simoncelli:
Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures.
IEEE Transactions on Image Processing 17(11): 2089-2101 (2008) |
| 46 | EE | Martin Raphan,
Eero P. Simoncelli:
Optimal Denoising in Redundant Representations.
IEEE Transactions on Image Processing 17(8): 1342-1352 (2008) |
| 2007 |
|---|
| 45 | EE | Rosa M. Figueras i Ventura,
Eero P. Simoncelli:
Statistically Driven Sparse Image Approximation.
ICIP (1) 2007: 461-464 |
| 44 | EE | Martin Raphan,
Eero P. Simoncelli:
Optimal Denoising in Redundant Bases.
ICIP (3) 2007: 113-116 |
| 43 | EE | David K. Hammond,
Eero P. Simoncelli:
A Machine Learning Framework for Adaptive Combination of Signal Denoising Methods.
ICIP (6) 2007: 29-32 |
| 42 | EE | Alan Stocker,
Eero P. Simoncelli:
A Bayesian Model of Conditioned Perception.
NIPS 2007 |
| 2006 |
|---|
| 41 | EE | David K. Hammond,
Eero P. Simoncelli:
Image Denoising with an Orientation-Adaptive Gaussian Scale Mixture Model.
ICIP 2006: 1433-1436 |
| 40 | EE | Martin Raphan,
Eero P. Simoncelli:
Learning to be Bayesian without Supervision.
NIPS 2006: 1145-1152 |
| 39 | EE | Siwei Lyu,
Eero P. Simoncelli:
Statistical Modeling of Images with Fields of Gaussian Scale Mixtures.
NIPS 2006: 945-952 |
| 38 | EE | Jesus Malo,
Irene Epifanio,
Rafael Navarro,
Eero P. Simoncelli:
Nonlinear image representation for efficient perceptual coding.
IEEE Transactions on Image Processing 15(1): 68-80 (2006) |
| 37 | EE | Zhou Wang,
Guixing Wu,
Hamid R. Sheikh,
Eero P. Simoncelli,
En-Hui Yang,
Alan C. Bovik:
Quality-aware images.
IEEE Transactions on Image Processing 15(6): 1680-1689 (2006) |
| 2005 |
|---|
| 36 | EE | Nicolas Bonnier,
Eero P. Simoncelli:
Locally adaptive multiscale contrast optimization.
ICIP (1) 2005: 949-952 |
| 35 | EE | Zhou Wang,
Eero P. Simoncelli:
An adaptive linear system framework for image distortion analysis.
ICIP (3) 2005: 1160-1163 |
| 34 | EE | Alan Stocker,
Eero P. Simoncelli:
Sensory Adaptation within a Bayesian Framework for Perception.
NIPS 2005 |
| 33 | EE | Liam Paninski,
Jonathan Pillow,
Eero P. Simoncelli:
Comparing integrate-and-fire models estimated using intracellular and extracellular data.
Neurocomputing 65-66: 379-385 (2005) |
| 2004 |
|---|
| 32 | EE | Alan Stocker,
Eero P. Simoncelli:
Constraining a Bayesian Model of Human Visual Speed Perception.
NIPS 2004 |
| 31 | EE | 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.
NIPS 2004 |
| 30 | EE | Hany Farid,
Eero P. Simoncelli:
Differentiation of discrete multidimensional signals.
IEEE Transactions on Image Processing 13(4): 496-508 (2004) |
| 29 | EE | Zhou Wang,
Alan C. Bovik,
Hamid R. Sheikh,
Eero P. Simoncelli:
Image quality assessment: from error visibility to structural similarity.
IEEE Transactions on Image Processing 13(4): 600-612 (2004) |
| 28 | EE | Liam Paninski,
Jonathan Pillow,
Eero P. Simoncelli:
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding Model.
Neural Computation 16(12): 2533-2561 (2004) |
| 2003 |
|---|
| 27 | | Javier Portilla,
Eero P. Simoncelli:
Image restoration using Gaussian scale mixtures in the wavelet domain.
ICIP (2) 2003: 965-968 |
| 26 | EE | Zhou Wang,
Eero P. Simoncelli:
Local Phase Coherence and the Perception of Blur.
NIPS 2003 |
| 25 | EE | Jonathan Pillow,
Liam Paninski,
Eero P. Simoncelli:
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model.
NIPS 2003 |
| 24 | EE | Roberto Valerio,
Eero P. Simoncelli,
Rafael Navarro:
Directly Invertible Nonlinear Divisive Normalization Pyramid for Image Representation.
VLBV 2003: 331-340 |
| 23 | EE | Javier Portilla,
Vasily Strela,
Martin J. Wainwright,
Eero P. Simoncelli:
Image denoising using scale mixtures of Gaussians in the wavelet domain.
IEEE Transactions on Image Processing 12(11): 1338-1351 (2003) |
| 22 | EE | Jonathan Pillow,
Eero P. Simoncelli:
Biases in white noise analysis due to non-Poisson spike generation.
Neurocomputing 52-54: 109-115 (2003) |
| 2001 |
|---|
| 21 | EE | Vasily Strela,
Javier Portilla,
Martin J. Wainwright,
Eero P. Simoncelli:
Adaptive Wiener denoising using a Gaussian scale mixture model in the wavelet domain.
ICIP (2) 2001: 37-40 |
| 20 | EE | Odelia Schwartz,
E. J. Chichilnisky,
Eero P. Simoncelli:
Characterizing Neural Gain Control using Spike-triggered Covariance.
NIPS 2001: 269-276 |
| 19 | EE | Samuel Mikaelian,
Eero P. Simoncelli:
Modeling temporal response characteristics of V1 neurons with a dynamic normalization model.
Neurocomputing 38-40: 1461-1467 (2001) |
| 2000 |
|---|
| 18 | EE | Yufeng Liang,
Eero P. Simoncelli,
Zhibin Lei:
Color Channels Decorrelation by ICA Transformation in the Wavelet Domain for Color Texture Analysis and Synthesis.
CVPR 2000: 1606-1610 |
| 17 | | Javier Portilla,
Eero P. Simoncelli:
Image Denoising via Adjustment of Wavelet Coefficient Magnitude Correlation.
ICIP 2000 |
| 16 | | 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.
ICIP 2000 |
| 15 | | Odelia Schwartz,
Eero P. Simoncelli:
Natural Sound Statistics and Divisive Normalization in the Auditory System.
NIPS 2000: 166-172 |
| 14 | | Javier Portilla,
Eero P. Simoncelli:
A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients.
International Journal of Computer Vision 40(1): 49-70 (2000) |
| 1999 |
|---|
| 13 | EE | Martin J. Wainwright,
Eero P. Simoncelli:
Scale Mixtures of Gaussians and the Statistics of Natural Images.
NIPS 1999: 855-861 |
| 12 | EE | Robert W. Buccigrossi,
Eero P. Simoncelli:
Image compression via joint statistical characterization in the wavelet domain.
IEEE Transactions on Image Processing 8(12): 1688-1701 (1999) |
| 1998 |
|---|
| 11 | | Eero P. Simoncelli,
Javier Portilla:
Texture Characterization via Joint Statistics of Wavelet Coefficient Magnitudes.
ICIP (1) 1998: 62-66 |
| 10 | EE | Eero P. Simoncelli,
Odelia Schwartz:
Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model.
NIPS 1998: 153-159 |
| 1997 |
|---|
| 9 | | Hany Farid,
Eero P. Simoncelli:
Optimally Rotation-Equivariant Directional Derivative Kernels.
CAIP 1997: 207-214 |
| 8 | | Jeffrey Mendelsohn,
Eero P. Simoncelli,
Ruzena Bajcsy:
Discrete-Time Rigidity-Constrained Optical Flow.
CAIP 1997: 255-262 |
| 7 | EE | Eero P. Simoncelli,
R. T. Buccigrossi:
Embedded Wavelet Image Compression Based On A Joint Probability Model.
ICIP (1) 1997: 640-643 |
| 1996 |
|---|
| 6 | | Eero P. Simoncelli,
Hany Farid:
Direct Differential Range Estimation Using Optical Masks.
ECCV (2) 1996: 82-93 |
| 5 | EE | Eero P. Simoncelli,
Hany Farid:
Steerable wedge filters for local orientation analysis.
IEEE Transactions on Image Processing 5(9): 1377-1382 (1996) |
| 1995 |
|---|
| 4 | EE | Eero P. Simoncelli,
Hany Farid:
Steerable Wedge Filters.
ICCV 1995: 189-194 |
| 3 | | Jeffry Nimeroff,
Eero P. Simoncelli,
Julie Dorsey,
Norman I. Badler:
Rendering Spaces for Architectural Environments.
Presence 4(3): 286-296 (1995) |
| 1994 |
|---|
| 2 | | Eero P. Simoncelli:
Design of Multi-Dimensional Derivative Filters.
ICIP (1) 1994: 790-794 |
| 1992 |
|---|
| 1 | | Eero P. Simoncelli,
William T. Freeman,
Edward H. Adelson,
David J. Heeger:
Shiftable multiscale transforms.
IEEE Transactions on Information Theory 38(2): 587-607 (1992) |
