|
|
|
2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 | 2000 | 1999 | 1998 | 1997 | 1996 | 1995 | 1994 | 1993 | 1992 | 1991 | 1990 | 1989 | 1988 | 1987
| 2008 |
Spatio-temporal correlations and visual signaling in a complete neuronal population
J W Pillow, J Shlens, L Paninski, A Sher, A M Litke, E J Chichilnisky, and E P Simoncelli,
Nature, 2008. Published online, 23 July 2008.
Abstract | PDF
Image Modeling and Denoising with Orientation-Adapted Gaussian Scale Mixtures
D K Hammond and E P Simoncelli,
IEEE Trans Image Processing, 2008.
Abstract
Maximum differentiation (MAD) competition: A methodology for comparing computational models of perceptual discriminability
Z Wang and E P Simoncelli,
Journal of Vision, 2008. Accepted for publication, 7/08.
Abstract | PDF
Modeling multiscale subbands of photographic images with fields of Gaussian scale mixtures
S Lyu and E P Simoncelli,
IEEE Trans. Patt Analysis and Machine Intelligence, 2008. Accepted for publication, 4/08.
Abstract | PDF
Image denoising using mixtures of Gaussian scale mixtures
J A Guerrero-Colón, E P Simoncelli , and J Portilla,
Proc 15th IEEE Int'l Conf on Image Proc, Sep 2008. To Appear.
Abstract | PDF
Optimal denoising in redundant representations
M Raphan and E P Simoncelli,
IEEE Trans Image Processing, vol.17(8), pp. 1342--1352, Aug 2008.
Abstract | PDF
Nonlinear image representation using divisive normalization
S Lyu and E P Simoncelli,
Proc. Computer Vision and Pattern Recognition, Jun 2008. To Appear.
Abstract | PDF
A model of self-consistent perception
A A Stocker and E P Simoncelli,
8th Annual Meeting, Vision Sciences Society, May 2008.
Abstract
A Bayesian model of conditioned perception
A A Stocker and E P Simoncelli,
Adv. Neural Information Processing Systems 20 , vol.20 pp. 1409--1416, May 2008.
Abstract | PDF
Nonlinear extraction of 'Independent Components' of elliptically symmetric densities using radial Gaussianization
S Lyu and E P Simoncelli, Computer Science Technical Report, Courant Inst. of Mathematical Sciences, New York University, Technical Report TR2008-911, Apr 2008.
Abstract | PDF
Contextually Adaptive Signal Representation Using Conditional Principal Component Analysis
R M Figueras i Ventura, U Rajashekar, Z Wang, and E P Simoncelli,
ICASSP, Mar 2008.
Abstract | PDF
| 2007 | top |
Statistically driven sparse image approximation
R M Figueras i Ventura and E P Simoncelli,
Proc 14th IEEE Int'l Conf on Image Proc, Sep 2007.
Abstract | PDF
A Machine Learning Framework for Adaptive Combination of Signal Denoising Methods
D Hammond and E P Simoncelli,
Proc 14th IEEE Int'l Conf on Image Proc, Sep 2007.
Abstract | PDF
Optimal Denoising in Redundant Bases
M Raphan and E P Simoncelli,
Proc 14th IEEE Int'l Conf on Image Proc, Sep 2007.
Winner, IBM student paper award.
Abstract | PDF
Representing and Modeling Images with Multiscale Local Orientation
David K. Hammond, PhD thesis, Courant Institute of Mathematical Sciences, New York University,
New York, NY, Jul 2007.
Abstract | PDF
Empirical Bayes least squares estimation without an explicit prior
M Raphan and E P Simoncelli, Computer Science Technical Report, Courant Inst. of Mathematical Sciences, New York University, Technical Report TR2007-900, May 2007.
Abstract | PDF
Statistical modeling of images with fields of Gaussian scale mixtures
S Lyu and E P Simoncelli,
Adv. Neural Information Processing Systems 19, vol.19 May 2007.
Abstract | PDF
Learning to be Bayesian without supervision
M Raphan and E P Simoncelli,
Adv. Neural Information Processing Systems 19, vol.19 May 2007.
Abstract | PDF
Optimal Estimation: Prior Free Methods and Physiological Application
Martin Raphan, PhD thesis, Courant Institute of Mathematical Sciences, New York University,
New York, NY, May 2007.
Awarded the 2008 K. O. Friedrichs prize for an outstanding dissertation in mathematics.
Abstract | PDF
Statistically and perceptually motivated nonlinear image representation
S Lyu and E P Simoncelli,
Proc. SPIE, Conf. on Human Vision and Electronic Imaging XII, vol.6492 Jan 2007.
Abstract | PDF
| 2006 | top |
How MT cells analyze the motion of visual patterns
N C Rust, V Mante, E P Simoncelli, and J A Movshon ,
Nature Neuroscience, vol.9(11), pp. 1421--1431, Nov 2006.
Abstract | PDF
Image denoising with an orientation-adaptive Gaussian scale mixture model
D K Hammond and E P Simoncelli,
Proc 13th IEEE Int'l Conf on Image Proc, pp. 1433--1436, Oct 2006.
Abstract | PDF
Spike-triggered neural characterization
O Schwartz, J W Pillow, N C Rust, and E P Simoncelli,
Journal of Vision, vol.6(4), pp. 484--507, Jul 2006.
Abstract | PDF
Quality-aware images
Z Wang, G Wu, H R Sheikh, E P Simoncelli, E Yang, and A C Bovik,
IEEE Trans Image Processing, vol.15(6), pp. 1680--1689, Jun 2006.
Abstract | PDF
Sensory adaptation within a Bayesian framework for perception
A A Stocker and E P Simoncelli,
Adv. Neural Information Processing Systems (NIPS*05), vol.18 pp. 1291--1298, May 2006.
Abstract | PDF
Dimensionality reduction in neural models: An information-theoretic generalization of spike-triggered average and covariance analysis
J W Pillow and E P Simoncelli,
Journal of Vision, vol.6(4), pp. 414--428, May 2006.
Abstract | PDF
Noise characteristics and prior expectations in human visual speed perception
A A Stocker and E P Simoncelli,
Nature Neuroscience, vol.9(4), pp. 578--585, Apr 2006.
Abstract | PDF
Non-linear image representation for efficient perceptual coding
J Malo, I Epifanio, R Navarro, and E P Simoncelli,
IEEE Trans Image Processing, vol.15(1), pp. 68--80, Jan 2006.
Abstract | PDF
| 2005 | top |
Prediction and decoding of retinal responses with a probabilistic spiking model
J W Pillow, L Paninski, V J Uzell, E P Simoncelli, and E J Chichilnisky,
J. Neuroscience, vol.25(47), pp. 11003--11013, Nov 2005.
Abstract | PDF
Nonlinear image representation via local multiscale orientation
D K Hammond and E P Simoncelli, Computer Science Technical Report, Courant Inst. of Mathematical Sciences, New York University, Technical Report TR2005-875, Sep 2005.
Abstract | PDF
Locally adaptive multiscale contrast optimization
N Bonnier and E P Simoncelli,
Proc 12th IEEE Int'l Conf on Image Proc, vol.I pp. 949--952, Sep 2005.
Abstract | PDF
An adaptive linear system framework for image distortion analysis
Z Wang and E P Simoncelli,
Proc 12th IEEE Int'l Conf on Image Proc, vol.III pp. 1160--1163, Sep 2005.
Abstract | PDF
Comparing Integrate-and-fire-like Models Given Intracellular and Extracellular Data
L Paninski, J W Pillow, and E P Simoncelli,
Neurocomputing, vol.65--66 pp. 379--385, Jun 2005.
Abstract | PDF
Spatiotemporal elements of macaque V1 receptive fields
N C Rust, O Schwartz, J A Movshon, and E P Simoncelli,
Neuron, vol.46(6), pp. 945--956, Jun 2005.
Abstract | PDF
Constraining a Bayesian model of human visual speed perception
A A Stocker and E P Simoncelli,
Adv. Neural Information Processing Systems (NIPS*04), vol.17 pp. 1361--1368, May 2005.
Abstract | PDF
Machine learning applied to perception: Decision images for classification
F Wichmann, A Graf, E P Simoncelli, H Bülthoff, and B Schölkopf,
Adv. Neural Information Processing Systems (NIPS*04), vol.17 pp. 1489--1496, May 2005.
Abstract | PDF
Structural Approaches to Image Quality Assessment
Z Wang, A C Bovik, and E P Simoncelli,
Handbook of Image and Video Processing,pages 961--974. Academic Press, May 2005.
Abstract | PDF
Statistical Modeling of Photographic Images
E P Simoncelli,
Handbook of Image and Video Processing,pages 431--441. Academic Press, May 2005.
Abstract | PDF
Translation insensitive image similarity in the complex wavelet domain
Z Wang and E P Simoncelli,
ICASSP, vol.II pp. 573--576, Mar 2005.
Abstract | PDF
Reduced-reference image quality assessment using a wavelet-domain natural image statistic model
Z Wang and E P Simoncelli,
Proc. SPIE, Conf. on Human Vision and Electronic Imaging X, vol.5666 pp. 149--159, Jan 2005.
Abstract | PDF
Neural coding and the statistical modeling of neuronal responses
Jonathan Pillow, PhD thesis, Center for Neural Science, New York University,
New York, NY, Jan 2005.
Abstract | PDF
| 2004 | top |
Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model
L Paninski, J Pillow, and E P Simoncelli,
Neural Computation, vol.16(12), pp. 2533--2561, Dec 2004.
Abstract | PDF
Maximum likelihood estimation of cascade point-process neural encoding models
L Paninski,
Network: Computation in Neural Systems, vol.15(4), pp. 243--262, Nov 2004.
Abstract | PDF
Characterization of Neural Responses with Stochastic Stimuli
E P Simoncelli, J Pillow, L Paninski, and O Schwartz,
The Cognitive Neurosciences, III,pages 327--338. MIT Press, Oct 2004.
Abstract | PDF
Signal Transmission, Feature Representation and Computation in Areas V1 and MT of the Macaque Monkey
Nicole C Rust, PhD thesis, Center for Neural Science, New York University,
New York, NY, Sep 2004.
Abstract | PDF
Spike-triggered Characterization of Excitatory and Suppressive Stimulus Dimensions in Monkey V1
N C Rust, O Schwartz, J A Movshon, and E P Simoncelli,
Neurocomputing, vol.58--60 pp. 793--799, Jun 2004.
Abstract | PDF
Local Phase Coherence and the Perception of Blur
Z Wang and E P Simoncelli,
Adv. Neural Information Processing Systems (NIPS*03), vol.16 May 2004.
Abstract | PDF
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
J W Pillow, L Paninski, and E P Simoncelli,
Adv. Neural Information Processing Systems (NIPS*03), vol.16 May 2004.
Winner, best student paper award.
Abstract | PDF
Perceptual image quality assessment: From error visibility to structural similarity
Z Wang, A C Bovik, H R Sheikh, and E P Simoncelli,
IEEE Trans Image Processing, vol.13(4), pp. 600--612, Apr 2004.
Abstract | PDF
Differentiation of discrete multi-dimensional signals
H Farid and E P Simoncelli,
IEEE Trans Image Processing, vol.13(4), pp. 496--508, Apr 2004.
Abstract | PDF
Stimulus Synthesis for Efficient Evaluation and Refinement of Perceptual Image Quality Metrics
Z Wang and E P Simoncelli,
Proc. SPIE, Conf on Human Vision and Electronic Imaging IX, vol.5292 pp. 99--108, Jan 2004.
Abstract | PDF
| 2003 | top |
Convergence properties of some spike-triggered analysis techniques
L Paninski,
Network: Computation in Neural Systems, vol.14(3), pp. 437--464, 2003.
Abstract | PDF
Multiscale Structural Similarity for Image Quality Assessment
Z Wang, E P Simoncelli, and A C Bovik,
Proc 37th Asilomar Conf on Signals, Systems and Computers, vol.2 pp. 1398--1402, Nov 2003.
Abstract | PDF
Image denoising using a scale mixture of Gaussians in the wavelet domain
J Portilla, V Strela, M J Wainwright, and E P Simoncelli,
IEEE Trans Image Processing, vol.12(11), pp. 1338--1351, Nov 2003.
Abstract | PDF
Image restoration using Gaussian scale mixtures in the wavelet domain
J Portilla and E P Simoncelli,
Proc 10th IEEE Int'l Conf on Image Proc, vol.II pp. 965--968, Sep 2003.
Abstract | PDF
Directly invertible nonlinear divisive normalization pyramid for image representation
R Valerio, E P Simoncelli, and R Navarro,
Visual Content Processing and Representation- Proc 8th Int'l Workshop, VLBV, pp. 331--340, Sep 2003.
Abstract | PDF
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
J W Pillow, L Paninski, and E P Simoncelli,
Presented at Computational NeuroScience (CNS*03), Alicante Spain, Jul 2003.
Abstract
Biases in white noise analysis due to non-Poisson spike generation
J W Pillow and E P Simoncelli,
Neurocomputing, vol.52-54 pp. 109--115, Jun 2003.
Abstract | PDF
Some Rigorous Results on the Neural Coding Problem
Liam Paninski, PhD thesis, Center for Neural Science, New York University,
New York, NY, May 2003.
Abstract | PDF
Vision and the statistics of the visual environment
E P Simoncelli,
Current Opinion in Neurobiology, vol.13(2), pp. 144--149, Apr 2003.
Abstract | PDF
Seeing patterns in the noise
E P Simoncelli,
Trends in Cog. Sci., vol.7(2), pp. 51--53, Feb 2003.
Abstract | PDF
Local Analysis of Visual Motion
E P Simoncelli,
The Visual Neurosciences,pages 1616--1623. MIT Press, Jan 2003.
Abstract | PDF
On advances in statistical modeling of natural images
A Srivastava, A B Lee, E P Simoncelli, and S-C Zhu,
J. Math. Imaging and Vision, vol.18(1), pp. 17--33, Jan 2003.
Abstract | PDF
| 2002 | top |
Image Denoising using Gaussian Scale Mixtures in the Wavelet Domain
J Portilla, V Strela, M J Wainwright, and E P Simoncelli, Computer Science Technical Report, Courant Inst. of Mathematical Sciences, New York University, Technical Report TR2002-831, Sep 2002 .
Abstract | PDF
Modeling and Characterization of Neural Gain Control
Odelia Schwartz, PhD thesis, Center for Neural Science, New York University,
New York, NY, Sep 2002.
Abstract | PDF
Motion illusions as optimal percepts
Y Weiss, E P Simoncelli, and E H Adelson,
Nature Neuroscience, vol.5(6), pp. 598--604, Jun 2002.
Abstract | PDF
Characterizing neural gain control using spike-triggered covariance
O Schwartz, E J Chichilnisky, and E P Simoncelli,
Adv. Neural Information Processing Systems (NIPS*01), vol.14 pp. 269--276, May 2002.
Honorable mention, best student paper award.
Abstract | PDF
Natural image statistics and divisive normalization: Modeling nonlinearity and adaptation in cortical neurons
M J Wainwright, O Schwartz, and E P Simoncelli,
Probabilistic Models of the Brain: Perception and Neural Function,pages 203--222. MIT Press, Feb 2002.
Abstract | PDF
Stochastic processes on graphs with cycles: Geometric and variational approaches
Martin J Wainright, PhD thesis, Dept. of Electrical Engineering and Computer Science, Massachusetts Institute of Technology,
Cambridge, MA, Jan 2002.
Abstract | PDF
| 2001 | top |
Natural sound statistics and divisive normalization in the auditory system
O Schwartz and E P Simoncelli,
Adv. Neural Information Processing Systems (NIPS*00), vol.13 pp. 166--172, 2001.
Abstract | PDF
Adaptive Wiener Denoising Using a Gaussian Scale Mixture Model in the Wavelet Domain
J Portilla, V Strela, M J Wainwright, and E P Simoncelli,
Proc 8th IEEE Int'l Conf on Image Proc, vol.II pp. 37--40, Oct 2001.
Abstract | PS
Natural signal statistics and sensory gain control
O Schwartz and E P Simoncelli,
Nature Neuroscience, vol.4(8), pp. 819--825, Aug 2001 .
Abstract | PDF
Random cascades on wavelet trees and their use in modeling and analyzing natural imagery
M J Wainwright, E P Simoncelli, and A S Willsky,
Applied and Computational Harmonic Analysis, vol.11(1), pp. 89--123, Jul 2001.
Abstract | PDF
Modeling Temporal Response Characteristics of V1 Neurons with a Dynamic Normalization Model
S Mikaelian and E P Simoncelli,
Neurocomputing, vol.38--40 pp. 1461--1467, Jun 2001.
Abstract
Representing retinal image speed in visual cortex
E P Simoncelli and D J Heeger,
Nature Neuroscience, vol.4(5), pp. 461--462, May 2001.
Abstract | PDF
Natural image statistics and neural representation
E P Simoncelli and B Olshausen,
Annual Review of Neuroscience, vol.24 pp. 1193--1216, May 2001.
Abstract | PDF
Perceiving visual expansion without optic flow
P R Schrater, D C Knill, and E P Simoncelli,
Nature, vol.410 pp. 816--819, Apr 2001.
Abstract | PDF
| 2000 | top |
A parametric texture model based on joint statistics of complex wavelet coefficients
J Portilla and E P Simoncelli,
Int'l Journal of Computer Vision, vol.40(1), pp. 49--71, Dec 2000.
Abstract | PDF
| PS
Random Cascades of Gaussian Scale Mixtures for Natural Images
M J Wainwright and E P Simoncelli ,
Proc 7th IEEE Int'l Conf on Image Proc, vol.I pp. 260--263, Sep 2000.
Abstract | PDF
Image Denoising via Adjustment of Wavelet Coefficient Magnitude Correlation
J Portilla and E P Simoncelli ,
Proc 7th IEEE Int'l Conf on Image Proc, vol.III pp. 277--280, Sep 2000.
Abstract | PDF
Random Cascades on Wavelet Trees and Their Use in Modeling and Analyzing Natural Imagery
M J Wainwright, E P Simoncelli, and A Willsky,
Proc SPIE, Conf. on Wavelet Applications in Signal and Image Processing VIII, vol.4119 pp. 229--240, Jul 2000.
Abstract | PDF
Image Denoising Using a Local Gaussian Scale Mixture Model in the Wavelet Domain
V Strela, J Portilla, and E P Simoncelli,
Proc SPIE, Conf. on Wavelet Applications in Signal and Image Processing VIII, vol.4119 pp. 363--371, Jul 2000.
Abstract | PDF
Scale Mixtures of Gaussians and the Statistics of Natural Images
M J Wainwright and E P Simoncelli,
Adv. Neural Information Processing Systems (NIPS*99), vol.12 pp. 855--861, May 2000.
Abstract | PDF
| PS
Mechanisms of visual motion detection
P R Schrater, D C Knill, and E P Simoncelli,
Nature Neuroscience, vol.3(1), pp. 64--68, Jan 2000.
Abstract | PDF
| PS
| 1999 | top |
Image compression via joint statistical characterization in the wavelet domain
R W Buccigrossi and E P Simoncelli,
IEEE Trans Image Proc, vol.8(12), pp. 1688--1701, Dec 1999.
Abstract | PDF
| PS
Compression and Segmentation of Images Using an Inter-subband Wavelet Probability Model
Robert W Buccigrossi, PhD thesis, Computer and Information Science Dept, University of Pennsylvania,
Philadelphia, PA, Aug 1999.
Abstract | PDF
Modeling the Joint Statistics of Images in the Wavelet Domain
E P Simoncelli,
Proc SPIE, 44th Annual Meeting, vol.3813 pp. 188--195, Jul 1999.
Abstract | PDF
| PS
Higher-order Statistical Models of Visual Images
E P Simoncelli,
Proc. IEEE Signal Processing Workshop on Higher-Order Statistics, pp. 54--57, Jun 1999.
Abstract
Texture Modeling and Synthesis using Joint Statistics of Complex Wavelet Coefficients
J Portilla and E P Simoncelli,
IEEE Workshop on Statistical and Computational Theories of Vision, Jun 1999.
Abstract | PDF
| PS
Modeling Surround Suppression in V1 Neurons with a Statistically-Derived Normalization Model
E P Simoncelli and O Schwartz,
Adv. Neural Information Processing Systems (NIPS*98), vol.11 pp. 153--159, May 1999.
Abstract | PDF
| PS
Bayesian Multi-scale Differential Optical Flow
E P Simoncelli,
Handbook of Computer Vision and Applications,pages 397--422. Academic Press, Apr 1999.
Abstract | PDF
| PS
Bayesian Denoising of Visual Images in the Wavelet Domain
E P Simoncelli,
Bayesian Inference in Wavelet Based Models,pages 291--308. Springer-Verlag, Apr 1999.
Abstract | PDF
| PS
Texture Representation and Synthesis Using Correlation of Complex Wavelet Coefficient Magnitudes
J Portilla and E P Simoncelli, Consejo Superior de Investigaciones Cientificas (CSIC), Madrid, Technical Report 54, Mar 1999.
Abstract | PS
Cortical Normalization Models and the Statistics of Visual Images
Eero P Simoncelli,
Neural Information and Coding Workshop, Mar 1999.
Abstract
| 1998 | top |
Local Velocity Representation: Evidence from Motion Adaptation
P R Schrater and E P Simoncelli,
Vision Research, vol.38(24), pp. 3899--3912, Dec 1998.
Abstract | PDF
| PS
Texture Characterization via Joint Statistics of Wavelet Coefficient Magnitudes
E P Simoncelli and J Portilla,
Proc 5th IEEE Int'l Conf on Image Proc, vol.I pp. 62--66, Oct 1998.
Abstract | PDF
| PS
Range Estimation by Optical Differentiation
H Farid and E P Simoncelli,
J. Optical Society of America, A, vol.15(7), pp. 1777--1786, Jul 1998.
Abstract | PDF
| PS
Local motion detection: Comparison of human and model observers
Paul R Schrater, PhD thesis, Department of Neuroscience, University of Pennsylvania,
Philadelphia, PA, Jun 1998.
Abstract | PDF
A Model of Neuronal Responses in Visual Area MT
E P Simoncelli and D J Heeger,
Vision Research, vol.38(5), pp. 743--761, Mar 1998.
Abstract | PDF
| PS
| 1997 | top |
Statistical Models for Images: Compression, Restoration and Synthesis
E P Simoncelli,
Proc 31st Asilomar Conf on Signals, Systems and Computers, vol.1 pp. 673--678, Nov 1997.
Abstract | PDF
| PS
Embedded Wavelet Image Compression Based on a Joint Probability Model
E P Simoncelli and R W Buccigrossi,
Proc 4th IEEE Int'l Conf on Image Proc, vol.I pp. 640--643, Oct 1997.
Abstract | PDF
| PS
Efficient Linear Re-rendering for Interactive Lighting Design
P C Teo, E P Simoncelli, and D J Heeger, Computer Science Department, Stanford University, Technical Report STAN-CS-TN-97-60, Sep 1997.
Abstract | PS
Discrete-Time Rigidity-Constrained Optical Flow
J Mendelsohn, E P Simoncelli, and R Bajcsy,
Int'l Conf Computer Analysis of Images and Patterns, pp. 255--262, Sep 1997.
Abstract | PS
Optimally Rotation-Equivariant Directional Derivative Kernels
H Farid and E P Simoncelli,
Int'l Conf Computer Analysis of Images and Patterns, pp. 207--214, Sep 1997.
Abstract | PDF
| PS
Image Compression via Joint Statistical Characterization in the Wavelet Domain
R W Buccigrossi and E P Simoncelli, GRASP Laboratory, University of Pennsylvania, Technical Report 414, May 1997.
Abstract | PS
Progressive Wavelet Image Coding Based on a Conditional Probability Model
R W Buccigrossi and E P Simoncelli,
ICASSP, vol.IV pp. 2957--2960, Apr 1997.
Abstract | PDF
| PS
Discrete-Time Rigid Motion Constrained Optical Flow Assuming Planar Structure
J Mendelsohn, E P Simoncelli, and R Bajcsy, GRASP Laboratory, University of Pennsylvania, Technical Report 410, Feb 1997.
Abstract | PS
Range Estimation by Optical Differentiation
Hany Farid, PhD thesis, Computer and Information Science Dept, University of Pennsylvania,
Philadelphia, PA, Feb 1997.
Abstract | PDF
| 1996 | top |
A Differential Optical Range Camera
H Farid and E P Simoncelli,
Optical Society of America, Annual Meeting, Oct 1996.
Abstract | PDF
| PS
Noise Removal via Bayesian Wavelet Coring
E P Simoncelli and E H Adelson,
Proc 3rd IEEE Int'l Conf on Image Proc, vol.I pp. 379--382, Sep 1996.
Abstract | PDF
| PS
A Rotation-Invariant Pattern Signature
E P Simoncelli,
Proc 3rd IEEE Int'l Conf on Image Proc, vol.III pp. 185--188, Sep 1996.
Abstract | PDF
| PS
Steerable Wedge Filters for Local Orientation Analysis
E P Simoncelli and H Farid,
IEEE Trans Image Proc, vol.5(9), pp. 1377--1382, Sep 1996.
Abstract | PDF
| PS
Acceleration-limited Egomotion Estimation
J Mendelsohn and E P Simoncelli, GRASP Laboratory, University of Pennsylvania, Technical Report 406, Aug 1996.
Abstract
A Filter Design Technique for Steerable Pyramid Image Transforms
A Karasaridis and E P Simoncelli,
ICASSP, vol.IV pp. 2389--2392, May 1996.
Abstract | PS
Direct Differential Range Estimation Using Optical Masks
E P Simoncelli and H Farid,
Fourth European Conf on Computer Vision, vol.II pp. 82--93, Apr 1996.
Abstract | PDF
| PS
Computational Models of Cortical Visual Processing
D J Heeger, E P Simoncelli, and J A Movshon,
Proc National Academy of Science, vol.93 pp. 623--627, Jan 1996.
Abstract | PDF
| PS
| 1995 | top |
Peripheral Visual Field, Fixation and Direction of Heading
I Thomas , E P Simoncelli, and R Bajcsy,
Exploratory Vision: The Active Eye,pages 169--190. Springer-Verlag, Nov 1995.
Abstract
The Steerable Pyramid: A Flexible Architecture for Multi-Scale Derivative Computation
E P Simoncelli and W T Freeman,
Proc 2nd IEEE Int'l Conf on Image Proc, vol.III pp. 444--447, Oct 1995.
Abstract | PDF
| PS
Steerable Wedge Filters
E P Simoncelli and H Farid,
Fifth Int'l Conf Computer Vision, pp. 189--194, Jun 1995.
Abstract | PDF
| PS
Rendering Spaces for Architectural Environments
J Nimeroff, E P Simoncelli, J Dorsey, and N Badler,
Presence, The Journal of Virtual Reality and Teleoperators, vol.4(3), pp. 286--296, Jun 1995.
Abstract | PDF
| PS
Fixation and a 180-Degree View Simplify Egomotion Estimation
I Thomas, E P Simoncelli, and R Bajcsy, GRASP Laboratory, University of Pennsylvania, Technical Report 390, Jan 1995.
Abstract
| 1994 | top |
Separation of Transparent Motion into Layers using Velocity-Tuned Mechanisms
T Darrell and E P Simoncelli,
Third European Conf on Computer Vision, Stockholm, 1994.
Abstract | PS
Linear Structure from Motion
I Thomas and E P Simoncelli, University of Pennsylvania, Technical Report MS-CIS-94-61, Dec 1994.
Abstract | PDF
| PS
Design of multi-dimensional derivative filters
E P Simoncelli,
Proc 1st IEEE Int'l Conf on Image Proc, vol.I pp. 790--794, Nov 1994.
Abstract | PDF
| PS
Spherical Retinal Flow for a Fixating Observer
I Thomas, E P Simoncelli, and R Bajcsy,
Proc. IAPR/IEEE Workshop on Visual Behaviors, pp. 37--41, Jun 1994.
Abstract | PS
Efficient Re-Rendering of Naturally Illuminated Environments
J Nimeroff, E P Simoncelli, and J Dorsey,
Fifth Annual Eurographics Symposium on Rendering, Jun 1994.
Abstract | PDF
| PS
A Novel Radial Intensity Based Edge Operator
G Provan, H Farid, and E P Simoncelli, University of Pennsylvania, Technical Report MS-CIS-94-07, Jan 1994.
Abstract
Model of Visual Motion Sensing
D J Heeger and E P Simoncelli,
Spatial Vision in Humans and Robots,pages 367--392. Cambridge University Press, Jan 1994.
Abstract | PDF
| 1993 | top |
Coarse-to-fine Estimation of Visual Motion
E P Simoncelli,
Proc Eighth Workshop on Image and Multidimensional Signal Processing, pp. 128--129, Sep 1993.
Abstract | PS
``Nulling'' Filters and the Separation of Transparent Motions
T J Darrell and E P Simoncelli,
Conf on Computer Vision and Pattern Recognition, pp. 738--742, Jun 1993.
Abstract
Distributed Analysis and Representation of Visual Motion
E P Simoncelli, PhD thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology,
Cambridge, MA, Jan 1993.
Abstract | PDF
| PS
| 1992 | top |
Computing Optical Flow from First and Second Derivatives
E P Simoncelli, MIT Media Laboratory, Technical Report , Nov 1992.
Abstract
On the Use of Nulling Filters to Separate Transparent Motions
T J Darrell and E P Simoncelli, MIT Media Laboratory, Technical Report 198, Oct 1992.
Abstract | PDF
Distributed Representation of Image Velocity
E P Simoncelli, MIT Media Laboratory, Technical Report 202, Oct 1992.
Abstract | PDF
OBVIUS: Object-Based Vision and Image Understanding System, Version 2.2
D J Heeger, E P Simoncelli, and EJ Chichilnisky, MIT Media Laboratory, Technical Report 195, Aug 1992.
Abstract | PS
Shiftable Multi-scale Transforms
E P Simoncelli, W T Freeman, E H Adelson, and D J Heeger,
IEEE Trans Information Theory, vol.38(2), pp. 587--607, Mar 1992.
Abstract | PDF
| PS
| 1991 | top |
Recovering Observer Translation with Center-Surround Operators
D J Heeger, A D Jepson, and E P Simoncelli,
Proc Workshop on Visual Motion, pp. 95--100, Oct 1991.
Abstract
Probability Distributions of Optical Flow
E P Simoncelli, E H Adelson, and D J Heeger,
Proc Conf on Computer Vision and Pattern Recognition, pp. 310--315, Jun 1991.
Abstract | PS
Noise reduction in video images using coring on QMF pyramids
A J Kalb, Bachelors Thesis
May 1991.
Abstract | PDF
Detection of Multiple Motions
E P Simoncelli, MIT Media Laboratory, Technical Report , Apr 1991.
Abstract
Pyramids for Early Vision
E H Adelson, E P Simoncelli, and W T Freeman,
Representations of Vision,pages 3--16. Cambridge University Press, Apr 1991.
Abstract
| 1990 | top |
Subband Transforms
E P Simoncelli and E H Adelson,
Subband Image Coding,pages 143--192. Kluwer Academic Publishers, 1990.
Abstract | PDF
| PS
Computing Optical Flow Distributions Using Spatio-Temporal Filters
E P Simoncelli and E H Adelson, MIT Media Laboratory, Technical Report 165, Nov 1990.
Abstract | PDF
Non-separable Extensions of Quadrature Mirror Filters to Multiple Dimensions
E P Simoncelli and E H Adelson,
Proc IEEE: Special Issue on Multi-dimensional Signal Processing, vol.78(4), pp. 652--664, Apr 1990.
Abstract
Subband Image Coding with Hexagonal Quadrature Mirror Filters
E P Simoncelli and E H Adelson,
Proc Picture Coding Symposium, pp. 10.7.1--10.7.5, Mar 1990.
Abstract | PS
Subband Image Coding with Three-tap Pyramids
E H Adelson and E P Simoncelli,
Proc Picture Coding Symposium, pp. 3.9.1--3.9.3, Mar 1990.
Abstract | PDF
| PS
| 1989 | top |
Nonseparable QMF Pyramids
E P Simoncelli and E H Adelson,
Proc SPIE, Visual Comm and Image Proc IV, vol.1199.3 pp. 1242--1246, Nov 1989.
Abstract
OBVIUS: Object-Based Vision and Image Understanding System
D J Heeger, E P Simoncelli, and M Sokolov, MIT Media Laboratory, Technical Report 121, Apr 1989.
Abstract
Sequential Motion Analysis
D J Heeger and E P Simoncelli,
Proc of AAAI Robot Navigation Symposium, pp. 24--28, Mar 1989.
Abstract
| 1988 | top |
Orthogonal Sub-band Image Transforms
E P Simoncelli, MS thesis, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science,
Cambridge, MA, May 1988.
Abstract
Multi-scale Image Transforms
E P Simoncelli and E H Adelson, MIT Media Laboratory, Technical Report 101, Jan 1988.
Abstract
| 1987 | top |
Orthogonal Pyramid Transforms for Image Coding
E H Adelson, E P Simoncelli, and R Hingorani,
Proc SPIE Visual Communications and Image Processing II, vol.845 pp. 50--58, Oct 1987.
Abstract | PDF
| PS
| Revised: June 19 2008. | top | |