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Eero P. Simoncelli Vis

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*2009
52EESiwei Lyu, Eero P. Simoncelli: Modeling Multiscale Subbands of Photographic Images with Fields of Gaussian Scale Mixtures. IEEE Trans. Pattern Anal. Mach. Intell. 31(4): 693-706 (2009)
51EESiwei Lyu, Eero P. Simoncelli: Nonlinear Extraction of Independent Components of Natural Images Using Radial Gaussianization. Neural Computation 21(6): 1485-1519 (2009)
2008
50EESiwei Lyu, Eero P. Simoncelli: Nonlinear image representation using divisive normalization. CVPR 2008
49EEJose A. Guerrero-Colon, Eero P. Simoncelli, Javier Portilla: Image denoising using mixtures of Gaussian scale mixtures. ICIP 2008: 565-568
48EESiwei Lyu, Eero P. Simoncelli: Reducing statistical dependencies in natural signals using radial Gaussianization. NIPS 2008: 1009-1016
47EEDavid 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)
46EEMartin Raphan, Eero P. Simoncelli: Optimal Denoising in Redundant Representations. IEEE Transactions on Image Processing 17(8): 1342-1352 (2008)
2007
45EERosa M. Figueras i Ventura, Eero P. Simoncelli: Statistically Driven Sparse Image Approximation. ICIP (1) 2007: 461-464
44EEMartin Raphan, Eero P. Simoncelli: Optimal Denoising in Redundant Bases. ICIP (3) 2007: 113-116
43EEDavid K. Hammond, Eero P. Simoncelli: A Machine Learning Framework for Adaptive Combination of Signal Denoising Methods. ICIP (6) 2007: 29-32
42EEAlan Stocker, Eero P. Simoncelli: A Bayesian Model of Conditioned Perception. NIPS 2007
2006
41EEDavid K. Hammond, Eero P. Simoncelli: Image Denoising with an Orientation-Adaptive Gaussian Scale Mixture Model. ICIP 2006: 1433-1436
40EEMartin Raphan, Eero P. Simoncelli: Learning to be Bayesian without Supervision. NIPS 2006: 1145-1152
39EESiwei Lyu, Eero P. Simoncelli: Statistical Modeling of Images with Fields of Gaussian Scale Mixtures. NIPS 2006: 945-952
38EEJesus 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)
37EEZhou 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
36EENicolas Bonnier, Eero P. Simoncelli: Locally adaptive multiscale contrast optimization. ICIP (1) 2005: 949-952
35EEZhou Wang, Eero P. Simoncelli: An adaptive linear system framework for image distortion analysis. ICIP (3) 2005: 1160-1163
34EEAlan Stocker, Eero P. Simoncelli: Sensory Adaptation within a Bayesian Framework for Perception. NIPS 2005
33EELiam Paninski, Jonathan Pillow, Eero P. Simoncelli: Comparing integrate-and-fire models estimated using intracellular and extracellular data. Neurocomputing 65-66: 379-385 (2005)
2004
32EEAlan Stocker, Eero P. Simoncelli: Constraining a Bayesian Model of Human Visual Speed Perception. NIPS 2004
31EEFelix 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
30EEHany Farid, Eero P. Simoncelli: Differentiation of discrete multidimensional signals. IEEE Transactions on Image Processing 13(4): 496-508 (2004)
29EEZhou 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)
28EELiam 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
26EEZhou Wang, Eero P. Simoncelli: Local Phase Coherence and the Perception of Blur. NIPS 2003
25EEJonathan Pillow, Liam Paninski, Eero P. Simoncelli: Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model. NIPS 2003
24EERoberto Valerio, Eero P. Simoncelli, Rafael Navarro: Directly Invertible Nonlinear Divisive Normalization Pyramid for Image Representation. VLBV 2003: 331-340
23EEJavier 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)
22EEJonathan Pillow, Eero P. Simoncelli: Biases in white noise analysis due to non-Poisson spike generation. Neurocomputing 52-54: 109-115 (2003)
2001
21EEVasily 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
20EEOdelia Schwartz, E. J. Chichilnisky, Eero P. Simoncelli: Characterizing Neural Gain Control using Spike-triggered Covariance. NIPS 2001: 269-276
19EESamuel Mikaelian, Eero P. Simoncelli: Modeling temporal response characteristics of V1 neurons with a dynamic normalization model. Neurocomputing 38-40: 1461-1467 (2001)
2000
18EEYufeng 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
13EEMartin J. Wainwright, Eero P. Simoncelli: Scale Mixtures of Gaussians and the Statistics of Natural Images. NIPS 1999: 855-861
12EERobert 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
10EEEero 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
7EEEero P. Simoncelli, R. T. Buccigrossi: Embedded Wavelet Image Compression Based On A Joint Probability Model. ICIP (1) 1997: 640-643
1996
6EEEero P. Simoncelli, Hany Farid: Direct Differential Range Estimation Using Optical Masks. ECCV (2) 1996: 82-93
5EEEero P. Simoncelli, Hany Farid: Steerable wedge filters for local orientation analysis. IEEE Transactions on Image Processing 5(9): 1377-1382 (1996)
1995
4EEEero 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)

Coauthor Index

1Edward H. Adelson [1]
2Norman I. Badler [3]
3Ruzena Bajcsy [8]
4Nicolas Bonnier [36]
5Alan C. Bovik [29] [37]
6R. T. Buccigrossi [7]
7Robert W. Buccigrossi [12]
8Heinrich H. Bülthoff [31]
9E. J. Chichilnisky [20]
10Julie Dorsey [3]
11Irene Epifanio [38]
12Hany Farid [4] [5] [6] [9] [30]
13William T. Freeman [1]
14Arnulf B. A. Graf [31]
15Jose A. Guerrero-Colon [49]
16David K. Hammond [41] [43] [47]
17David J. Heeger [1]
18Zhibin Lei [18]
19Yufeng Liang [18]
20Siwei Lyu [39] [48] [50] [51] [52]
21Jesus Malo [38]
22Jeffrey Mendelsohn [8]
23Samuel Mikaelian [19]
24Rafael Navarro [24] [38]
25Jeffry Nimeroff [3]
26Liam Paninski [25] [28] [33]
27Jonathan Pillow [22] [25] [28] [33]
28Javier Portilla [11] [14] [17] [21] [23] [27] [49]
29Martin Raphan [40] [44] [46]
30Bernhard Schölkopf [31]
31Odelia Schwartz [10] [15] [20]
32Hamid R. Sheikh [29] [37]
33Alan A. Stocker (Alan Stocker) [32] [34] [42]
34Vasily Strela [21] [23]
35Roberto Valerio [24]
36Rosa M. Figueras i Ventura [45]
37Martin J. Wainwright [13] [16] [21] [23]
38Zhou Wang [26] [29] [35] [37]
39Felix A. Wichmann [31]
40Alan S. Willsky [16]
41Guixing Wu [37]
42En-Hui Yang [37]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)