Eero P. Simoncelli

	2009
52		Siwei 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)
51		Siwei Lyu, Eero P. Simoncelli: Nonlinear Extraction of Independent Components of Natural Images Using Radial Gaussianization. Neural Computation 21(6): 1485-1519 (2009)
	2008
50		Siwei Lyu, Eero P. Simoncelli: Nonlinear image representation using divisive normalization. CVPR 2008
49		Jose A. Guerrero-Colon, Eero P. Simoncelli, Javier Portilla: Image denoising using mixtures of Gaussian scale mixtures. ICIP 2008: 565-568
48		Siwei Lyu, Eero P. Simoncelli: Reducing statistical dependencies in natural signals using radial Gaussianization. NIPS 2008: 1009-1016
47		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		Martin Raphan, Eero P. Simoncelli: Optimal Denoising in Redundant Representations. IEEE Transactions on Image Processing 17(8): 1342-1352 (2008)
	2007
45		Rosa M. Figueras i Ventura, Eero P. Simoncelli: Statistically Driven Sparse Image Approximation. ICIP (1) 2007: 461-464
44		Martin Raphan, Eero P. Simoncelli: Optimal Denoising in Redundant Bases. ICIP (3) 2007: 113-116
43		David K. Hammond, Eero P. Simoncelli: A Machine Learning Framework for Adaptive Combination of Signal Denoising Methods. ICIP (6) 2007: 29-32
42		Alan Stocker, Eero P. Simoncelli: A Bayesian Model of Conditioned Perception. NIPS 2007
	2006
41		David K. Hammond, Eero P. Simoncelli: Image Denoising with an Orientation-Adaptive Gaussian Scale Mixture Model. ICIP 2006: 1433-1436
40		Martin Raphan, Eero P. Simoncelli: Learning to be Bayesian without Supervision. NIPS 2006: 1145-1152
39		Siwei Lyu, Eero P. Simoncelli: Statistical Modeling of Images with Fields of Gaussian Scale Mixtures. NIPS 2006: 945-952
38		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		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		Nicolas Bonnier, Eero P. Simoncelli: Locally adaptive multiscale contrast optimization. ICIP (1) 2005: 949-952
35		Zhou Wang, Eero P. Simoncelli: An adaptive linear system framework for image distortion analysis. ICIP (3) 2005: 1160-1163
34		Alan Stocker, Eero P. Simoncelli: Sensory Adaptation within a Bayesian Framework for Perception. NIPS 2005
33		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		Alan Stocker, Eero P. Simoncelli: Constraining a Bayesian Model of Human Visual Speed Perception. NIPS 2004
31		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		Hany Farid, Eero P. Simoncelli: Differentiation of discrete multidimensional signals. IEEE Transactions on Image Processing 13(4): 496-508 (2004)
29		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		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		Zhou Wang, Eero P. Simoncelli: Local Phase Coherence and the Perception of Blur. NIPS 2003
25		Jonathan Pillow, Liam Paninski, Eero P. Simoncelli: Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model. NIPS 2003
24		Roberto Valerio, Eero P. Simoncelli, Rafael Navarro: Directly Invertible Nonlinear Divisive Normalization Pyramid for Image Representation. VLBV 2003: 331-340
23		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		Jonathan Pillow, Eero P. Simoncelli: Biases in white noise analysis due to non-Poisson spike generation. Neurocomputing 52-54: 109-115 (2003)
	2001
21		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		Odelia Schwartz, E. J. Chichilnisky, Eero P. Simoncelli: Characterizing Neural Gain Control using Spike-triggered Covariance. NIPS 2001: 269-276
19		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		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		Martin J. Wainwright, Eero P. Simoncelli: Scale Mixtures of Gaussians and the Statistics of Natural Images. NIPS 1999: 855-861
12		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		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		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		Eero P. Simoncelli, Hany Farid: Steerable wedge filters for local orientation analysis. IEEE Transactions on Image Processing 5(9): 1377-1382 (1996)
	1995
4		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)

Coauthor Index

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

Colors in the list of coauthors