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Modeling the impact of common noise inputs on the network activity of retinal ganglion cells
M Vidne, Y Ahmadian, J Shlens, J W Pillow, J Kulkarni, A M Litke, E J Chichilnisky, E P Simoncelli, L Paninski J. Computational Neuroscience, pp. 1-25, 2012. To appear.
Abstract
Linking physiology and perception in V2
J Freeman, C Ziemba, J A Movshon and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2012.
Abstract
Neural implementation of Bayesian inference using efficient population codes
D Ganguli and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2012.
Abstract
Using a doubly-stochastic model to analyze neuronal activity in the visual cortex
R Goris, E P Simoncelli and J A Movshon Computational and Systems Neuroscience (CoSyNe), Feb 2012.
Abstract
Selectivity and invariance are greater in macaque V2 than V1
C Ziemba, J Freeman, J A Movshon and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2012.
Abstract
Efficient coding of natural images and movies with populations of noisy nonlinear neurons
Y Karklin and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2012.
Abstract
Summary statistics in auditory perception
J H McDermott and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2012.
Abstract
Fitting receptive fields in V1 and V2 as linear combinations of nonlinear subunits
B Vintch, A Zaharia, J A Movshon and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2012.
Abstract
Efficient coding of natural images with a population of noisy linear-nonlinear neurons
Y Karklin and E P Simoncelli Adv. Neural Information Processing Systems (NIPS*11), vol.24 2011.
Abstract | PDF
A blind sparse deconvolution method for neural spike identification
C Ekanadham, D Tranchina and E P Simoncelli Adv. Neural Information Processing Systems (NIPS*11), vol.24 2011.
Abstract | PDF
Using metameric stimuli to test a model of neural populations in V2
J Freeman and E P Simoncelli Annual Meeting, Neurosciences, Nov 2011.
Abstract
A spatial subunit model for V2 receptive fields reveals heterogeneous receptive field structure
B Vintch, E P Simoncelli and J A Movshon Annual Meeting, Neurosciences, Nov 2011.
Abstract
Differential encoding of naturalistic texture properties by neurons in macaque V1 and V2
CM Ziemba, J Freeman, J A Movshon and E P Simoncelli Annual Meeting, Neurosciences, Nov 2011.
Abstract
Recovery of sparse translation-invariant signals with continuous basis pursuit
C Ekanadham, D Tranchina and E P Simoncelli IEEE Trans Signal Processing, vol.59(10), pp. 4735--4744, Oct 2011.
Abstract | PDF
Sound texture perception via statistics of the auditory periphery: Evidence from sound synthesis
J H McDermott and E P Simoncelli Neuron, vol.71(5), pp. 926--940, Sep 2011.
Abstract | PDF
Metamers of the ventral stream
J Freeman and E P Simoncelli Nature Neuroscience, vol.14(9), pp. 1195--1201, Sep 2011.
Abstract | PDF
Cardinal rules: Visual orientation perception reflects knowledge of environmental statistics
A R Girshick, M S Landy and E P Simoncelli Nature Neuroscience, vol.14(7), pp. 926--932, Jul 2011.
Abstract | PDF
Sparse decomposition of transformation-invariant signals with continuous basis pursuit
C Ekanadham, D Tranchina and E P Simoncelli Proc. Int'l Conf Acoustics Speech Signal Processing (ICASSP), May 2011.
Abstract | PDF
Optimal inference explains the perceptual coherence of visual motion stimuli
J H Hedges, A A Stocker and E P Simoncelli Journal of Vision, vol.11(6), May 2011.
Abstract | PDF
Sound texture perception via statistics of peripheral auditory representations
J H McDermott and E P Simoncelli 34th midWinter Meeting, Assoc. for Research in Otolaryngology, Feb 2011 .
Abstract
Empirical Derivation of Acoustic Grouping Cues from Natural Sound Statistics
J H McDermott, D P W Ellis and E P Simoncelli 34th midWinter Meeting, Assoc. for Research in Otolaryngology, Feb 2011 .
Abstract
Redundant representations in macaque retinal populations are consistent with efficient coding
E Doi, J L Gauthier, G D Field, J Shlens, A Sher, M Greschner, T Machado, K Mathieson, D Gunning, A M Litke, L Paninski, E J Chichilnisky and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2011.
Abstract
Do humans use Occam's Razor when learning probability distributions?
J Freeman, D Ganguli and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2011.
Abstract
Sound texture perception via statistics of peripheral auditory representations
J H McDermott and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2011.
Abstract
Optimal information transfer in a noisy nonlinear neuron
Y Karklin and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2011.
Abstract
Neural spike identification with continuous basis pursuit
C Ekanadham, D Tranchina and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2011.
Abstract
Least squares estimation without priors or supervision
M Raphan and E P Simoncelli Neural Computation, vol.23(2), pp. 374--420, Feb 2011.
Abstract | PDF
Implicit encoding of prior probabilities in optimal neural populations
D Ganguli and E P Simoncelli Adv. Neural Information Processing Systems 23 (NIPS*10), vol.23 pp. 658--666, 2010. Presented at NIPS, Dec 2010.
Abstract | PDF
Characterizing receptive field structure of macaque V2 neurons in terms of their V1 afferents
B Vintch, J A Movshon and E P Simoncelli Annual Meeting, Neurosciences, Nov 2010.
Abstract
An Empirical Bayesian interpretation and generalization of NL-means
M Raphan and E P Simoncelli Computer Science Technical Report, Courant Inst. of Mathematical Sciences, New York University, Technical Report TR2010-934, Oct 2010.
Abstract | PDF
Capturing adaptation properties of retinal ganglion cell responses with a generalized linear model
C Ekanadham, J Shlens, L Jepson, A M Litke, D Tranchina, L Paninski, EJ Chichilnisky and E P Simoncelli Proc. AREADNE: Research in Encoding And Decoding of Neural Ensembles, Jun 2010.
Abstract
Crowding and metamerism in the ventral stream
J Freeman and E P Simoncelli 10th Annual Meeting, Vision Sciences Society, May 2010.
Abstract
Orientation statistics at fixation
D Ganguli, J Freeman, U Rajashekar and E P Simoncelli 10th Annual Meeting, Vision Sciences Society, May 2010.
Abstract
Linking statistical texture models to population coding in the ventral stream
J Freeman, L E Hallum, M S Landy, D J Heeger and E P Simoncelli 10th Annual Meeting, Vision Sciences Society, May 2010.
Abstract
Hierarchical modeling of local image features through Lp-nested symmetric distributions
F Sinz, E P Simoncelli and M Bethge Adv. Neural Information Processing Systems 22, vol.22 pp. 1696--1704, May 2010.
Abstract | PDF
Metamers of the ventral stream
J Freeman and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2010.
Abstract
Representation of environmental statistics by neural populations
D Ganguli and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2010.
Abstract
Testing efficient coding: Projective (not receptive) fields are the key theoretical prediction
E Doi, G Field, J Gauthier, A Sher, M Greschner, J Shlens, T Machado, L Paninski, D Gunning, K Mathieson and A Litke, E J Chichilnisky and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2010.
Abstract
Sound texture perception via synthesis
J H McDermott, A Oxenham and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2010.
Abstract
Bayesian line orientation perception: Human prior expectations match natural image statistics
A R Girshick, M S Landy and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2010.
Abstract
Diversity of efficient coding solutions for a population of noisy linear neurons
E Doi, L Paninski and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2010.
Abstract
Decoding stimulus velocity from population responses in area MT of the macaque
A A Stocker, N Majaj, C Tailby, J A Movshon and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2010.
Abstract
A common-input model of a complete network of Ganglion cells in the primate retina
M Vidne, Y Ahmadian, J Shlens, J Pillow, J W Kulkarni, E P Simoncelli, E J Chichilnisky and L Paninski Computational and Systems Neuroscience (CoSyNe), Feb 2010.
Abstract
Perceptual quality assessment of color images using adaptive signal representation
U Rajashekar, Z Wang and E P Simoncelli Proc SPIE on Human Vision and Electronic Imaging, XV, vol.7527 Jan 2010.
Abstract | PDF
Is the homunculus 'aware' of sensory adaptation?
P Seriès, A A Stocker and E P Simoncelli Neural Computation, vol.21(12), pp. 3271--3304, Dec 2009.
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Quantifying Color Image Distortions Based on Adaptive Spatio-chromatic Signal Decompositions
U Rajashekar, Z Wang and E P Simoncelli Proc 16th IEEE Int'l Conf on Image Proc, pp. 2213--2216, Nov 2009.
Abstract | PDF
A general methodology for estimating multiple spike trains from multi-electrode recordings
J W Pillow, J Shlens, E J Chichilnisky and E P Simoncelli Annual Meeting, Neurosciences, Oct 2009.
Abstract
Sound texture synthesis via filter statistics
J H McDermott, A J Oxenham and E P Simoncelli IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA-09), pp. 297--300, Oct 2009.
Abstract | PDF
Optimal estimation in sensory systems
E P Simoncelli The Cognitive Neurosciences, IV, pages 525--535. MIT Press, Oct 2009.
Abstract | PDF
Learning least squares estimators without assumed priors or supervision
M Raphan and E P Simoncelli Computer Science Technical Report, Courant Inst. of Mathematical Sciences, New York University, Technical Report TR2009-923, Aug 2009.
Abstract | PDF
Visual motion aftereffects arise from a cascade of two isomorphic adaptation mechanisms
A A Stocker and E P Simoncelli Journal of Vision, vol.9(9), pp. 1--14, Aug 2009.
Abstract | PDF
Multiscale denoising of photographic images
U Rajashekar and E P Simoncelli The Essential Guide to Image Processing, pages 241--261. Academic Press, Jul 2009.
Abstract | PDF
Capturing visual image properties with probabilistic models
E P Simoncelli The Essential Guide to Image Processing, pages 205--223. Academic Press, Jul 2009.
Abstract
Nonlinear extraction of 'Independent Components' of natural images using radial Gaussianization
S Lyu and E P Simoncelli Neural Computation, vol.21(6), pp. 1485--1519, Jun 2009.
Abstract | PDF
Prior expectations in line orientation perception
A R Girshick, E P Simoncelli and M S Landy 9th Annual Meeting, Vision Sciences Society, May 2009.
Abstract
Decoding velocity from population responses in area MT of the macaque
A A Stocker, N Majaj, C Tailby, J A Movshon and E P Simoncelli 9th Annual Meeting, Vision Sciences Society, May 2009.
Abstract
Reducing statistical dependencies in natural signals using radial Gaussianization
S Lyu and E P Simoncelli Adv. Neural Information Processing Systems 21, vol.21 pp. 1009--1016, May 2009. Presented at NIPS, Dec 2008.
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, vol.31(4), pp. 693--706, Apr 2009.
Abstract | PDF
Decoding of stimulus velocity using a model of ganglion cell populations in primate retina
E Lalor, Y Ahmadian, L Paninski and E Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2009.
Abstract
A decoder-based spike train metric for analyzing the neural code in the retina
Y Ahmadian, J Pillow, J Shlens, E P Simoncelli, E J Chichilnisky and L Paninski Computational and Systems Neuroscience (CoSyNe), Feb 2009.
Abstract
Inferring functional connectivity in an ensemble of retinal ganglion cells sharing a common input
M Vidne, J Kulkarni, Y Ahmadian, J Pillow, J Shlens, E J Chichilnisky, E P Simoncelli and L Paninski Computational and Systems Neuroscience (CoSyNe), Feb 2009.
Abstract
Analyzing the neural code in the primate retina using efficient model-based decoding techniques
Y Ahmadian, J Pillow , J E Kulkarni, J Shlens, E P Simoncelli, E J Chichilnisky and L Paninski Annual Meeting, Neurosciences, Nov 2008.
Abstract
Efficient coding is consistent with the irregular shapes of retinal ganglion cell receptive fields
E Doi, J Gauthier, GD Field, A Sher, J Shlens, M Greschner, K Mathieson, D Gunning, A M Litke, L Paninski, EJ Chichilnisky and E P Simoncelli Annual Meeting, Neurosciences, Nov 2008.
Abstract
Image modeling and denoising with orientation-adapted Gaussian scale mixtures
D K Hammond and E P Simoncelli IEEE Trans Image Processing, vol.17(11), pp. 2089--2101, Nov 2008.
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, pp. 565--568, Oct 2008.
Abstract | PDF
Maximum differentiation (MAD) competition: A methodology for comparing computational models of perceptual discriminability
Z Wang and E P Simoncelli Journal of Vision, vol.8(12), pp. 1--13, Sep 2008.
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
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, vol.454(7206), pp. 995--999, Aug 2008.
Abstract | PDF
Nonlinear image representation using divisive normalization
S Lyu and E P Simoncelli Proc. Computer Vision and Pattern Recognition, pp. 1--8, Jun 2008.
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, 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 Proc. Int'l Conf Acoustics Speech Signal Processing (ICASSP), pp. 877--880, Mar 2008.
Abstract | PDF
Maximizing sensory information with neural populations of arbitrary size
E Doi, L Paninski and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2008.
Abstract
The perceptual interpretation of a moving square-wave plaid is speed-dependent
J H Hedges, A A Stocker and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2008.
Abstract
The effects of correlated neural activity on single-neuron spiking variability in the primate retina
J W Pillow, J Shlens, L Paninski, A Sher, A M Litke, E J Chichilnisky and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2008.
Abstract
A model of self-consistent perception
A A Stocker and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2008.
Abstract
Is the homunculus 'aware' of sensory adaptation?
P Seriès, A A Stocker and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2008.
Abstract
Detecting simultaneous spikes in multi-neuron recordings using a generative model of electrode data
J Pillow, C Bakolitsa, E J Chichilnisky and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Feb 2008.
Abstract
Sound texture perception via synthesis
J H McDermott, E P Simoncelli and A J Oxenham Annual Meeting, ARO, Feb 2008.
Abstract
Correlations and coding with multi-neuronal spike trains in primate retina
J W Pillow, J Shlens, L Paninski, A Sher, A M Litke, E J Chichilnisky and E P Simoncelli Annual Meeting, Neurosciences, Nov 2007.
Abstract
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, vol.VI pp. 29--32, Sep 2007.
Abstract | PDF
Statistically driven sparse image approximation
R M Figueras i Ventura and E P Simoncelli Proc 14th IEEE Int'l Conf on Image Proc, vol.I pp. 461--464, Sep 2007.
Abstract | PDF
Optimal denoising in redundant bases
M Raphan and E P Simoncelli Proc 14th IEEE Int'l Conf on Image Proc, vol.III pp. 113--116, 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
Adaptation to Transparent Plaids: Two repulsive directions or one?
J Hedges and E P Simoncelli 7th Annual Meeting, Vision Sciences Society, May 2007.
Abstract
Characterizing changes in perceived speed and speed discriminability arising from motion adaptation
A A Stocker and E P Simoncelli 7th Annual Meeting, Vision Sciences Society, May 2007.
Abstract
Statistical modeling of images with fields of Gaussian scale mixtures
S Lyu and E P Simoncelli Adv. Neural Information Processing Systems 19, vol.19 pp. 945--952, May 2007.
Abstract | PDF
Learning to be Bayesian without supervision
M Raphan and E P Simoncelli Adv. Neural Information Processing Systems 19, vol.19 pp. 1145--1152, 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.
Recipient of the 2008 K. O. Friedrichs prize for an outstanding dissertation in mathematics.
Abstract | PDF
Deciphering correlations: Bayesian decoding of multi-neuronal spike trains in primate retina
J Pillow, J Shlens, L Paninski, A Sher, A Litke, EJ Chichilnisky and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Mar 2007.
Abstract
The Effect of Contrast on Velocity Encoding in Macaque Area MT
N Majaj, A Stocker, C Tailby, J A Movshon and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Mar 2007.
Abstract
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 pp. 67--91, Jan 2007.
Abstract | PDF
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
Toward characterization of the complete visual signal in a patch of retina
E P Simoncelli, J W Pillow, J Shlens, L Paninski and E J Chichilnisky Fall Vision Meeting, Optical Society of America, Oct 2006.
Abstract
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
How MT cells analyze the motion of visual patterns
J A Movshon, N C Rust, V Mante and E P Simoncelli European Conf on Visual Perception, Aug 2006.
Abstract
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
Empirical Bayes Least Squares Estimation without an Explicit Prior
M Raphan and E P Simoncelli SIAM Conf. on Imaging Science, May 2006.
Abstract
An Orientation-Adaptive Gaussian Scale Mixture Model for Image Denoising
D K Hammond and E P Simoncelli SIAM Conf. on Imaging Science, May 2006.
Abstract
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
An Information-theoretic generalization of spike-triggered average and covariance analysis
J W Pillow and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Mar 2006.
Abstract
Adaptation within a Bayesian framework for perception
A A Stocker and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Mar 2006.
Abstract
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
Modeling the correlated spike responses of a cluster of primate retinal ganglion cells
J W Pillow, J Shlens, L Paninski, E J Chichilnisky and E P Simoncelli Annual Meeting, Neurosciences, Nov 2005.
Abstract
How macaque MT cells compute pattern motion
N Rust, E P Simoncelli and J A Movshon Annual Meeting, Neurosciences, Nov 2005.
Abstract
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
Neurons in MT compute pattern direction by pooling excitatory and suppressive inputs
N C Rust, E P Simoncelli and J A Movshon 5th Annual Meeting, Vision Sciences Society, May 2005.
Abstract
Maximum differentiation competition: A methodology for comparing quantitative models of perceptual discriminability
Z Wang and E P Simoncelli 5th Annual Meeting, Vision Sciences Society, May 2005.
Abstract
Constraining the prior and likelihood in a Bayesian model of human visual speed perception
A A Stocker and E P Simoncelli 5th Annual Meeting, Vision Sciences Society, May 2005.
Abstract
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
Comparison of power and tractability of neural encoding models that incorporate spike-history dependence
L Paninski, J W Pillow and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Mar 2005.
Abstract
Explicit cortical representation of probabilities are not necessary for optimal perceptual behavior
A A Stocker and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Mar 2005.
Abstract
Modeling multineuronal responses in primate retinal ganglion cells
J W Pillow, J Shlens, L Paninski, E J Chichilnisky and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Mar 2005.
Abstract
Translation insensitive image similarity in the complex wavelet domain
Z Wang and E P Simoncelli Proc. Int'l Conf Acoustics Speech Signal Processing (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
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
Accounting for Timing and Variability of Retinal Ganglion Cell Light Responses with a Stochastic Integrate-and-fire Model
J W Pillow, L Paninski, V J Uzzell, E P Simoncelli and E J Chichilnisky Annual Meeting, Neurosciences, Nov 2004.
Abstract
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
Comparison of two spike-triggered techniques for neural characterization based on covariance and information measures
N C Rust, T Sharpee, J A Movshon and E P Simoncelli Gordon Research Conference, Sep 2004.
Abstract
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.
Recipient, IEEE Signal Processing Society Best Paper Award, 2009.
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
Quantitative Bayesian Model of Human Visual Motion Perception
A A Stocker and E P Simoncelli Computational and Systems Neuroscience (CoSyNe), Mar 2004.
Abstract
Unexpected Spatio-temporal Structure in V1 Simple and Complex Cells Revealed by Spike-triggered Covariance
N C Rust, O Schwartz, E P Simoncelli and J A Movshon Computational and Systems Neuroscience (CoSyNe), Mar 2004.
Abstract
Characterization of macaque retinal ganglion cell responses using spike-triggered covariance
J W Pillow, E P Simoncelli and E J Chichilnisky Computational and Systems Neuroscience (CoSyNe), Mar 2004.
Abstract
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
Convergence properties of some spike-triggered analysis techniques
L Paninski Network: Computation in Neural Systems, vol.14(3), pp. 437--464, 2003.
Abstract | PDF
Maximum likelihood estimation of a stochastic integrate-and-fire cascade spiking model
L M Paninski, J W Pillow and E P Simoncelli Annual Meeting, Neurosciences, Nov 2003.
Abstract
An analysis of spike-triggered covariance reveals suppressive mechanisms of directional selectivity in macaque V1 neurons
N Rust, O Schwartz, E P Simoncelli and J A Movshon Annual Meeting, Neurosciences, Nov 2003.
Abstract
Characterization of nonlinear spatiotemporal properties of macaque retinal ganglion cells using spike-triggered covariance
J W Pillow, E P Simoncelli and E J Chichilnisky Annual Meeting, Neurosciences, Nov 2003.
Abstract
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 scale mixtures 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.
Recipient, IEEE Signal Processing Society Best Paper Award, 2008.
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
Gain control in Macaque area MT is directionally selective
N Rust, N Majaj, E P Simoncelli and J A Movshon Annual Meeting, Neurosciences, Nov 2002.
Abstract
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
Inhibitory interactions in MT receptive fields
N Rust, E P Simoncelli and J A Movshon 2nd Annual Meeting, Vision Sciences Society, May 2002.
Abstract
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 Wainwright PhD thesis, Dept. of Electrical Engineering and Computer Science, Massachusetts Institute of Technology,
Cambridge, MA, Jan 2002.
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
A spike-triggered covariance method for characterizing divisive normalization models
O Schwartz and E P Simoncelli First Annual Meeting, Vision Sciences Society, May 2001.
Abstract
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, May 2001.
Abstract | PDF
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
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
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
Explaining Adaptation in V1 Neurons with a Statistically Optimized Normalization Model
M J Wainwright and E P Simoncelli Investigative Opthalmology and Visual Science Supplement (ARVO), vol.40 pp. S-573, May 1999.
Abstract
Accounting for Surround Suppression in V1 Neurons using a Statistically Optimized Normalization Model
O Schwartz and E P Simoncelli Investigative Opthalmology and Visual Science Supplement (ARVO), vol.40 pp. S-641, May 1999.
Abstract
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
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
Modeling MT Neuronal Responses To Compound Stimuli
S Mikaelian, V P Ferrera and E P Simoncelli Annual Meeting, Neurosciences, Nov 1998.
Abstract
Cortical Normalization Models and the Statistics of Natural Images
E P Simoncelli Proc Annual Meeting, Optical Society of America, Oct 1998.
Abstract
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
Derivation of a Cortical Normalization Model from the Statistics of Natural Images
E P Simoncelli and O Schwartz Investigative Opthalmology and Visual Science Supplement (ARVO), vol.39 pp. S-424, May 1998.
Abstract
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
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 | PDF | PS
Normalized Component Analysis and the Statistics of Natural Scenes
E P Simoncelli Natural Scene Statistics Meeting, Sep 1997.
Abstract
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
Can the Visual System Measure Expansion Rates Without Using Optic Flow?
P R Schrater, D C Knill and E P Simoncelli European Conf on Visual Perception, Aug 1997.
Abstract
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 | PDF | PS
Local Translation Detection: Evidence for Velocity Tuned Pooling of Spatio-temporal Frequencies
P R Schrater, D C Knill and E P Simoncelli Investigative Opthalmology and Visual Science Supplement (ARVO), vol.38 pp. S-936, May 1997.
Abstract
Progressive Wavelet Image Coding Based on a Conditional Probability Model
R W Buccigrossi and E P Simoncelli Proc. Int'l Conf Acoustics Speech Signal Processing (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 | PDF
Range Estimation by Optical Differentiation
Hany Farid PhD thesis, Computer and Information Science Dept, University of Pennsylvania,
Philadelphia, PA, Feb 1997.
Abstract | PDF
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
Testing and Refining a Computational Model of Neural Responses in Area MT
E P Simoncelli, W D Bair, J R Cavanaugh and J A Movshon Investigative Opthalmology and Visual Science Supplement (ARVO), vol.37 pp. S-916, May 1996.
Abstract
A Filter Design Technique for Steerable Pyramid Image Transforms
A Karasaridis and E P Simoncelli Proc. Int'l Conf Acoustics Speech Signal Processing (ICASSP), vol.IV pp. 2387--2390, May 1996.
Abstract | PDF | 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. Nat'l Academy of Science, vol.93 pp. 623--627, Jan 1996.
Abstract | PDF | PS
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
Effect of Contrast and Period on Perceived Coherence of Moving Square-wave Plaids
H Farid, E P Simoncelli, M J Bravo and P R Schrater Investigative Opthalmology and Visual Science Supplement (ARVO), vol.36 pp. S-51, May 1995.
Abstract
Biases in Speed Perception Due to Motion Aftereffect
P Schrater and E P Simoncelli Investigative Opthalmology and Visual Science Supplement (ARVO), vol.36 pp. S-54, May 1995.
Abstract
Fixation and a 180-Degree View Simplify Egomotion Estimation
I Thomas, E P Simoncelli and R Bajcsy University of Pennsylvania, Technical Report MS-CIS-95-15, Jan 1995.
Abstract | PDF
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 IRCS-94-26, 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 | PDF | 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
Motion Adaptation Effects Suggest an Explicit Representation of Velocity
P Schrater and E P Simoncelli Investigative Opthalmology and Visual Science Supplement (ARVO), vol.35 pp. 1268, May 1994.
Abstract
The Perception of Transparency in Moving Square-Wave Plaids
H Farid and E P Simoncelli Investigative Opthalmology and Visual Science Supplement (ARVO), vol.35 pp. 1271, May 1994.
Abstract
A Velocity-representation Model for MT Cells
E P Simoncelli and D J Heeger Investigative Opthalmology and Visual Science Supplement (ARVO), vol.35 pp. 1827, May 1994.
Abstract
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 | PDF
Model of Visual Motion Sensing
D J Heeger and E P Simoncelli Spatial Vision in Humans and Robots, pages 367--392. Cambridge University Press, 1993.
Abstract | PDF
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 | PDF | PS
Integration of Structure-from-motion Information across Time and Space
T Darrell, E P Simoncelli, A Azarbayejani, B Horowitz and A P Pentland European Conf on Visual Perception, Aug 1993.
Abstract
``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
Separation of Transparent Motion into Layers using Velocity-tuned Mechanisms
T J Darrell and E P Simoncelli Investigative Opthalmology and Visual Science Supplement (ARVO), vol.34 pp. 1052, May 1993.
Abstract
A Computational Model for Representation of Image Velocities
E P Simoncelli and D J Heeger Investigative Opthalmology and Visual Science Supplement (ARVO), vol.34 pp. 1346, May 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
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
A Model of Transparent Motion Perception Using Layers
T J Darrell, E P Simoncelli, E H Adelson and A P Pentland Investigative Opthalmology and Visual Science Supplement (ARVO), vol.33 pp. 1142, May 1992.
Abstract
A Computational Model for Perception of Two-dimensional Pattern Velocities
E P Simoncelli and D J Heeger Investigative Opthalmology and Visual Science Supplement (ARVO), vol.33 pp. 954, May 1992.
Abstract
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
Recovering Observer Translation with Center-Surround Operators
D J Heeger, A D Jepson and E P Simoncelli Proc IEEE 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 | PDF | PS
Relationship between Gradient, Spatio-temporal Energy, and Regression Models for Motion Perception
E P Simoncelli and E H Adelson Investigative Opthalmology and Visual Science Supplement (ARVO), vol.32 pp. 893, May 1991.
Abstract
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
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 | PS
Optical Flow Distributions: Gradient, Energy and Regression Methods
E P Simoncelli and E H Adelson Optical Society of America, Annual Meeting, Nov 1990.
Abstract
Pyramids and multiscale representations
E H Adelson, E P Simoncelli and W T Freeman Proc European Conf on Visual Perception, Aug 1990.
Abstract
Perception of 3D Motion in the Presence of Uncertainty
E P Simoncelli, D J Heeger and E H Adelson Investigative Opthalmology and Visual Science Supplement (ARVO), vol.31 pp. 173, May 1990.
Abstract
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 | PDF
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
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
Steerable Filters for Image Analysis
W T Freeman, E H Adelson and E P Simoncelli Optical Society of America, Annual Meeting, vol.18 Oct 1989.
Abstract
Hexagonal QMF Pyramids
E H Adelson and E P Simoncelli Proc Optical Society of America, Topical Meeting on Applied Vision, pp. 5--8, Jul 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
Sampling Strategies for Image Representations
E Adelson, E P Simoncelli and R Hummel Investigative Opthalmology and Visual Science Supplement (ARVO), vol.29 pp. 408, May 1988.
Abstract
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 | PDF
Multi-scale Image Transforms
E P Simoncelli and E H Adelson MIT Media Laboratory, Technical Report 101, Jan 1988.
Abstract
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
Efficient Image Coding with QMF Pyramids
E P Simoncelli and E H Adelson Optical Society of America, Annual Meeting, vol.A4-13 pp. 84, Oct 1987.
Abstract
QMF Pyramids: a New Class of Orthogonal Pyramid Transform
E H Adelson and E P Simoncelli Optical Society of America, Annual Meeting, vol.A4-13 pp. 84, Oct 1987.
Abstract
Orthogonal Pyramid Transforms for Image Coding
E H Adelson, E P Simoncelli and R Hingorani Proc Tenth European Conf on Visual Perception, Aug 1987.
Abstract