Eero P. Simoncelli

According to our database, Eero P. Simoncelli authored at least 127 papers between 1990 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Layerwise complexity-matched learning yields an improved model of cortical area V2.

Nikhil Parthasarathy, Olivier J. Hénaff, Eero P. Simoncelli

Trans. Mach. Learn. Res., 2024

Video prediction using score-based conditional density estimation.

Pierre-Étienne H. Fiquet, Eero P. Simoncelli

CoRR, 2024

Discriminating image representations with principal distortions.

Jenelle Feather, David Lipshutz, Sarah E. Harvey, Alex H. Williams, Eero P. Simoncelli

CoRR, 2024

Feature-guided score diffusion for sampling conditional densities.

Zahra Kadkhodaie, Stéphane Mallat, Eero P. Simoncelli

CoRR, 2024

Optimized Linear Measurements for Inverse Problems using Diffusion-Based Image Generation.

Ling-Qi Zhang, Zahra Kadkhodaie, Eero P. Simoncelli, David H. Brainard

CoRR, 2024

Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT.

Thomas E. Yerxa, Jenelle Feather, Eero P. Simoncelli, SueYeon Chung

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning predictable and robust neural representations by straightening image sequences.

Xueyan Niu, Cristina Savin, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Shaping the distribution of neural responses with interneurons in a recurrent circuit model.

David Lipshutz, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Generalization in diffusion models arises from geometry-adaptive harmonic representations.

Zahra Kadkhodaie, Florentin Guth, Eero P. Simoncelli, Stéphane Mallat

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Generalization in diffusion models arises from geometry-adaptive harmonic representation.

Zahra Kadkhodaie, Florentin Guth, Eero P. Simoncelli, Stéphane Mallat

CoRR, 2023

Polar Prediction of Natural Videos.

Pierre-Étienne H. Fiquet, Eero P. Simoncelli

CoRR, 2023

Statistical whitening of neural populations with gain-modulating interneurons.

Lyndon R. Duong, David Lipshutz, David J. Heeger, Dmitri B. Chklovskii, Eero P. Simoncelli

CoRR, 2023

Comparing neural models using their perceptual discriminability predictions.

Jingyang Zhou, Chanwoo Chun, Ajay Subramanian, Eero P. Simoncelli

Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations.

Thomas E. Yerxa, Yilun Kuang, Eero P. Simoncelli, SueYeon Chung

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A polar prediction model for learning to represent visual transformations.

Pierre-Étienne H. Fiquet, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive whitening with fast gain modulation and slow synaptic plasticity.

Lyndon R. Duong, Eero P. Simoncelli, Dmitri B. Chklovskii, David Lipshutz

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Whitening in Neural Populations with Gain-modulating Interneurons.

Lyndon R. Duong, David Lipshutz, David J. Heeger, Dmitri B. Chklovskii, Eero P. Simoncelli

Proceedings of the International Conference on Machine Learning, 2023

Learning multi-scale local conditional probability models of images.

Zahra Kadkhodaie, Florentin Guth, Stéphane Mallat, Eero P. Simoncelli

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Deep Denoising for Scientific Discovery: A Case Study in Electron Microscopy.

Sreyas Mohan, Ramon Manzorro, Joshua L. Vincent, Binh Tang, Dev Yashpal Sheth, Eero P. Simoncelli, David S. Matteson, Peter A. Crozier, Carlos Fernandez-Granda

IEEE Trans. Computational Imaging, 2022

Image Quality Assessment: Unifying Structure and Texture Similarity.

Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution.

Anthony Zador, Blake A. Richards, Bence Ölveczky, Sean Escola, Yoshua Bengio, Kwabena Boahen, Matthew M. Botvinick, Dmitri B. Chklovskii, Anne Churchland, Claudia Clopath, James DiCarlo, Surya Ganguli, Jeff Hawkins, Konrad P. Körding, Alexei A. Koulakov, Yann LeCun, Timothy P. Lillicrap, Adam H. Marblestone, Bruno A. Olshausen, Alexandre Pouget, Cristina Savin, Terrence J. Sejnowski, Eero P. Simoncelli, Sara A. Solla, David Sussillo, Andreas S. Tolias, Doris Tsao

CoRR, 2022

Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors.

Eric Wu, Nora Brackbill, Alexander Sher, Alan M. Litke, Eero P. Simoncelli, E. J. Chichilnisky

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems.

Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli

Int. J. Comput. Vis., 2021

Adaptive Denoising via GainTuning.

Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Carlos Fernandez-Granda, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser.

Zahra Kadkhodaie, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Impression learning: Online representation learning with synaptic plasticity.

Colin Bredenberg, Benjamin Lyo, Eero P. Simoncelli, Cristina Savin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unsupervised Deep Video Denoising.

Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser.

Zahra Kadkhodaie, Eero P. Simoncelli

CoRR, 2020

Self-Supervised Learning of a Biologically-Inspired Visual Texture Model.

Nikhil Parthasarathy, Eero P. Simoncelli

CoRR, 2020

Comparison of Image Quality Models for Optimization of Image Processing Systems.

Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli

CoRR, 2020

Learning efficient task-dependent representations with synaptic plasticity.

Colin Bredenberg, Eero P. Simoncelli, Cristina Savin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks.

Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli, Carlos Fernandez-Granda

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Flexible information routing in neural populations through stochastic comodulation.

Caroline Haimerl, Cristina Savin, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Blind Image Quality Assessment by Learning from Multiple Annotators.

Kede Ma, Xuelin Liu, Yuming Fang, Eero P. Simoncelli

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2017

Perceptually Optimized Image Rendering.

Valero Laparra, Alexander Berardino, Johannes Ballé, Eero P. Simoncelli

CoRR, 2017

Eigen-Distortions of Hierarchical Representations.

Alexander Berardino, Valero Laparra, Johannes Ballé, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

End-to-end Optimized Image Compression.

Johannes Ballé, Valero Laparra, Eero P. Simoncelli

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Neural Quadratic Discriminant Analysis: Nonlinear Decoding with V1-Like Computation.

Marino Pagan, Eero P. Simoncelli, Nicole C. Rust

Neural Comput., 2016

Geodesics of learned representations.

Olivier J. Hénaff, Eero P. Simoncelli

Proceedings of the 4th International Conference on Learning Representations, 2016

Density Modeling of Images using a Generalized Normalization Transformation.

Johannes Ballé, Valero Laparra, Eero P. Simoncelli

Proceedings of the 4th International Conference on Learning Representations, 2016

End-to-end optimization of nonlinear transform codes for perceptual quality.

Johannes Ballé, Valero Laparra, Eero P. Simoncelli

Proceedings of the 2016 Picture Coding Symposium, 2016

Perceptual image quality assessment using a normalized Laplacian pyramid.

Valero Laparra, Johannes Ballé, Alexander Berardino, Eero P. Simoncelli

Proceedings of the Human Vision and Electronic Imaging, 2016

2015

The local low-dimensionality of natural images.

Olivier J. Hénaff, Johannes Ballé, Neil C. Rabinowitz, Eero P. Simoncelli

Proceedings of the 3rd International Conference on Learning Representations, 2015

Geometrical and statistical properties of vision models obtained via maximum differentiation.

Jesús Malo, Eero P. Simoncelli

Proceedings of the Human Vision and Electronic Imaging XX, 2015

2014

Efficient Sensory Encoding and Bayesian Inference with Heterogeneous Neural Populations.

Deep Ganguli, Eero P. Simoncelli

Neural Comput., 2014

Learning sparse filter bank transforms with convolutional ICA.

Johannes Ballé, Eero P. Simoncelli

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2012

Modeling the impact of common noise inputs on the network activity of retinal ganglion cells.

Michael Vidne, Yashar Ahmadian, Jonathon Shlens, Jonathan W. Pillow, Jayant Kulkarni, Alan M. Litke, E. J. Chichilnisky, Eero P. Simoncelli, Liam Paninski

J. Comput. Neurosci., 2012

Efficient and direct estimation of a neural subunit model for sensory coding.

Brett Vintch, Andrew D. Zaharia, J. Anthony Movshon, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Hierarchical spike coding of sound.

Yan Karklin, Chaitanya Ekanadham, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Recovery of Sparse Translation-Invariant Signals With Continuous Basis Pursuit.

Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli

IEEE Trans. Signal Process., 2011

Least Squares Estimation Without Priors or Supervision.

Martin Raphan, Eero P. Simoncelli

Neural Comput., 2011

Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons.

Yan Karklin, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A blind sparse deconvolution method for neural spike identification.

Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Sparse decomposition of transformation-invariant signals with continuous basis pursuit.

Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Implicit encoding of prior probabilities in optimal neural populations.

Deep Ganguli, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Perceptual quality assessment of color images using adaptive signal representation.

Umesh Rajashekar, Zhou Wang, Eero P. Simoncelli

Proceedings of the Human Vision and Electronic Imaging XV, 2010

2009

Modeling Multiscale Subbands of Photographic Images with Fields of Gaussian Scale Mixtures.

Siwei Lyu, Eero P. Simoncelli

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Is the Homunculus "Aware" of Sensory Adaptation?

Peggy Seriès, Alan A. Stocker, Eero P. Simoncelli

Neural Comput., 2009

Nonlinear Extraction of Independent Components of Natural Images Using Radial Gaussianization.

Siwei Lyu, Eero P. Simoncelli

Neural Comput., 2009

Sound texture synthesis via filter statistics.

Josh H. McDermott, Andrew J. Oxenham, Eero P. Simoncelli

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009

Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions.

Fabian H. Sinz, Eero P. Simoncelli, Matthias Bethge

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Quantifying color image distortions based on adaptive spatio-chromatic signal decompositions.

Umesh Rajashekar, Zhou Wang, Eero P. Simoncelli

Proceedings of the International Conference on Image Processing, 2009

2008

Optimal Denoising in Redundant Representations.

Martin Raphan, Eero P. Simoncelli

IEEE Trans. Image Process., 2008

Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures.

David K. Hammond, Eero P. Simoncelli

IEEE Trans. Image Process., 2008

Reducing statistical dependencies in natural signals using radial Gaussianization.

Siwei Lyu, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Image denoising using mixtures of Gaussian scale mixtures.

Jose A. Guerrero-Colon, Eero P. Simoncelli, Javier Portilla

Proceedings of the International Conference on Image Processing, 2008

Contextually adaptive signal representation using conditional principal component analysis.

Rosa M. Figueras i Ventura, Umesh Rajashekar, Zhou Wang, Eero P. Simoncelli

Proceedings of the IEEE International Conference on Acoustics, 2008

Nonlinear image representation using divisive normalization.

Siwei Lyu, Eero P. Simoncelli

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

A Bayesian Model of Conditioned Perception.

Alan Stocker, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Statistically Driven Sparse Image Approximation.

Rosa M. Figueras i Ventura, Eero P. Simoncelli

Proceedings of the International Conference on Image Processing, 2007

Optimal Denoising in Redundant Bases.

Martin Raphan, Eero P. Simoncelli

Proceedings of the International Conference on Image Processing, 2007

A Machine Learning Framework for Adaptive Combination of Signal Denoising Methods.

David K. Hammond, Eero P. Simoncelli

Proceedings of the International Conference on Image Processing, 2007

Statistically and perceptually motivated nonlinear image representation.

Siwei Lyu, Eero P. Simoncelli

Proceedings of the Human Vision and Electronic Imaging XII, San Jose, CA, USA, January 29, 2007

2006

Quality-aware images.

Zhou Wang, Guixing Wu, Hamid R. Sheikh, Eero P. Simoncelli, En-Hui Yang, Alan C. Bovik

IEEE Trans. Image Process., 2006

Nonlinear image representation for efficient perceptual coding.

Jesus Malo, Irene Epifanio, Rafael Fonolla Navarro, Eero P. Simoncelli

IEEE Trans. Image Process., 2006

Learning to be Bayesian without Supervision.

Martin Raphan, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Statistical Modeling of Images with Fields of Gaussian Scale Mixtures.

Siwei Lyu, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Image Denoising with an Orientation-Adaptive Gaussian Scale Mixture Model.

David K. Hammond, Eero P. Simoncelli

Proceedings of the International Conference on Image Processing, 2006

2005

Comparing integrate-and-fire models estimated using intracellular and extracellular data.

Liam Paninski, Jonathan W. Pillow, Eero P. Simoncelli

Neurocomputing, 2005

Sensory Adaptation within a Bayesian Framework for Perception.

Alan Stocker, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

An adaptive linear system framework for image distortion analysis.

Zhou Wang, Eero P. Simoncelli

Proceedings of the 2005 International Conference on Image Processing, 2005

Locally adaptive multiscale contrast optimization.

Nicolas Bonnier, Eero P. Simoncelli

Proceedings of the 2005 International Conference on Image Processing, 2005

Translation Insensitive Image Similarity in Complex Wavelet Domain.

Zhou Wang, Eero P. Simoncelli

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Reduced-reference image quality assessment using a wavelet-domain natural image statistic model.

Zhou Wang, Eero P. Simoncelli

Proceedings of the Human Vision and Electronic Imaging X, 2005

2004

Image quality assessment: from error visibility to structural similarity.

Zhou Wang, Alan C. Bovik, Hamid R. Sheikh, Eero P. Simoncelli

IEEE Trans. Image Process., 2004

Differentiation of discrete multidimensional signals.

Hany Farid, Eero P. Simoncelli

IEEE Trans. Image Process., 2004

Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding Model.

Liam Paninski, Jonathan W. Pillow, Eero P. Simoncelli

Neural Comput., 2004

Spike-triggered characterization of excitatory and suppressive stimulus dimensions in monkey V1.

Nicole C. Rust, Odelia Schwartz, J. Anthony Movshon, Eero P. Simoncelli

Neurocomputing, 2004

Machine Learning Applied to Perception: Decision Images for Gender Classification.

Felix A. Wichmann, Arnulf B. A. Graf, Eero P. Simoncelli, Heinrich H. Bülthoff, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Constraining a Bayesian Model of Human Visual Speed Perception.

Alan Stocker, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Stimulus synthesis for efficient evaluation and refinement of perceptual image quality metrics.

Zhou Wang, Eero P. Simoncelli

Proceedings of the Human Vision and Electronic Imaging IX, 2004

2003

Image denoising using scale mixtures of Gaussians in the wavelet domain.

Javier Portilla, Vasily Strela, Martin J. Wainwright, Eero P. Simoncelli

IEEE Trans. Image Process., 2003

On Advances in Statistical Modeling of Natural Images.

A. Srivastava, A. B. Lee, Eero P. Simoncelli, S.-C. Zhu

J. Math. Imaging Vis., 2003

Biases in white noise analysis due to non-Poisson spike generation.

Jonathan W. Pillow, Eero P. Simoncelli

Neurocomputing, 2003

Directly Invertible Nonlinear Divisive Normalization Pyramid for Image Representation.

Roberto Valerio, Eero P. Simoncelli, Rafael Fonolla Navarro

Proceedings of the Visual Content Processing and Representation, 2003

Local Phase Coherence and the Perception of Blur.

Zhou Wang, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model.

Jonathan W. Pillow, Liam Paninski, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Image restoration using Gaussian scale mixtures in the wavelet domain.

Javier Portilla, Eero P. Simoncelli

Proceedings of the 2003 International Conference on Image Processing, 2003

2001

Modeling temporal response characteristics of V1 neurons with a dynamic normalization model.

Samuel Mikaelian, Eero P. Simoncelli

Neurocomputing, 2001

Characterizing Neural Gain Control using Spike-triggered Covariance.

Odelia Schwartz, E. J. Chichilnisky, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Adaptive Wiener denoising using a Gaussian scale mixture model in the wavelet domain.

Vasily Strela, Javier Portilla, Martin J. Wainwright, Eero P. Simoncelli

Proceedings of the 2001 International Conference on Image Processing, 2001

2000

A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients.

Javier Portilla, Eero P. Simoncelli

Int. J. Comput. Vis., 2000

Natural Sound Statistics and Divisive Normalization in the Auditory System.

Odelia Schwartz, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Random Cascades of Gaussian Scale Mixtures and Their Use in Modeling Natural Images With Application to Denoising.

Martin J. Wainwright, Eero P. Simoncelli, Alan S. Willsky

Proceedings of the 2000 International Conference on Image Processing, 2000

Image Denoising via Adjustment of Wavelet Coefficient Magnitude Correlation.

Javier Portilla, Eero P. Simoncelli

Proceedings of the 2000 International Conference on Image Processing, 2000

Color Channels Decorrelation by ICA Transformation in the Wavelet Domain for Color Texture Analysis and Synthesis.

Yufeng Liang, Eero P. Simoncelli, Zhibin Lei

Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1999

Image compression via joint statistical characterization in the wavelet domain.

Robert W. Buccigrossi, Eero P. Simoncelli

IEEE Trans. Image Process., 1999

Scale Mixtures of Gaussians and the Statistics of Natural Images.

Martin J. Wainwright, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998

Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model.

Eero P. Simoncelli, Odelia Schwartz

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Texture Characterization via Joint Statistics of Wavelet Coefficient Magnitudes.

Eero P. Simoncelli, Javier Portilla

Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

1997

Embedded Wavelet Image Compression Based On A Joint Probability Model.

Eero P. Simoncelli, Robert W. Buccigrossi

Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Progressive wavelet image coding based on a conditional probability model.

Robert W. Buccigrossi, Eero P. Simoncelli

Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Discrete-Time Rigidity-Constrained Optical Flow.

Jeffrey Mendelsohn, Eero P. Simoncelli, Ruzena Bajcsy

Proceedings of the Computer Analysis of Images and Patterns, 7th International Conference, 1997

Optimally Rotation-Equivariant Directional Derivative Kernels.

Hany Farid, Eero P. Simoncelli

Proceedings of the Computer Analysis of Images and Patterns, 7th International Conference, 1997

1996

Steerable wedge filters for local orientation analysis.

Eero P. Simoncelli, Hany Farid

IEEE Trans. Image Process., 1996

Noise removal via Bayesian wavelet coring.

Eero P. Simoncelli, Edward H. Adelson

Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

A rotation invariant pattern signature.

Eero P. Simoncelli

Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

A filter design technique for steerable pyramid image transforms.

Anestis Karasaridis, Eero P. Simoncelli

Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

Direct Differential Range Estimation Using Optical Masks.

Eero P. Simoncelli, Hany Farid

Proceedings of the Computer Vision, 1996

1995

Rendering Spaces for Architectural Environments.

Jeffry Nimeroff, Eero P. Simoncelli, Julie Dorsey, Norman I. Badler

Presence Teleoperators Virtual Environ., 1995

The steerable pyramid: a flexible architecture for multi-scale derivative computation.

Eero P. Simoncelli, William T. Freeman

Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

Steerable Wedge Filters.

Eero P. Simoncelli, Hany Farid

Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995

1994

Design of Multi-Dimensional Derivative Filters.

Eero P. Simoncelli

Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

1993

Distributed representation and analysis of visual motion.

Eero P. Simoncelli

PhD thesis, 1993

1992

Shiftable multiscale transforms.

Eero P. Simoncelli, William T. Freeman, Edward H. Adelson, David J. Heeger

IEEE Trans. Inf. Theory, 1992

1991

Probability distributions of optical flow.

Eero P. Simoncelli, Edward H. Adelson, David J. Heeger

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1991

1990

Non-separable extensions of quadrature mirror filters to multiple dimensions.

Eero P. Simoncelli, Edward H. Adelson

Proc. IEEE, 1990