Visual reconstruction
Bayesian modeling of uncertainty in low-level vision
International Journal of Computer Vision
Constrained Restoration and the Recovery of Discontinuities
IEEE Transactions on Pattern Analysis and Machine Intelligence
A nonlinear filter for film restoration and other problems in image processing
CVGIP: Graphical Models and Image Processing
Texture Modeling by Multiple Pairwise Pixel Interactions
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the use of Gibbs priors for Bayesian image restoration
Signal Processing
Inducing Features of Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Prior Learning and Gibbs Reaction-Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Texture Segmentation in a Deterministic Annealing Framework
IEEE Transactions on Pattern Analysis and Machine Intelligence
Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling
International Journal of Computer Vision
A unifying review of linear Gaussian models
Neural Computation
An Introduction to Variational Methods for Graphical Models
Machine Learning
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: modeling, learning, sampling and computing, Part I
Markov random field modeling in image analysis
Markov random field modeling in image analysis
On Advances in Statistical Modeling of Natural Images
Journal of Mathematical Imaging and Vision
Multimodal Estimation of Discontinuous Optical Flow using Markov Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Universal Analytical Forms for Modeling Image Probabilities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Training products of experts by minimizing contrastive divergence
Neural Computation
A Compact Model for Viewpoint Dependent Texture Synthesis
SMILE '00 Revised Papers from Second European Workshop on 3D Structure from Multiple Images of Large-Scale Environments
A Review of Nonlinear Diffusion Filtering
SCALE-SPACE '97 Proceedings of the First International Conference on Scale-Space Theory in Computer Vision
Discovering Multiple Constraints that are Frequently Approximately Satisfied
UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence
Understanding belief propagation and its generalizations
Exploring artificial intelligence in the new millennium
Texture Synthesis by Non-Parametric Sampling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Stereo Matching Using Belief Propagation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning How to Inpaint from Global Image Statistics
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Image-based rendering using image-based priors
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
What Energy Functions Can Be Minimizedvia Graph Cuts?
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Statistical Approach to Texture Classification from Single Images
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
Energy-based models for sparse overcomplete representations
The Journal of Machine Learning Research
Fields of Experts: A Framework for Learning Image Priors
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Estimation of Non-Normalized Statistical Models by Score Matching
The Journal of Machine Learning Research
International Journal of Computer Vision
Learning high-order MRF priors of color images
ICML '06 Proceedings of the 23rd international conference on Machine learning
Image Denoising Via Learned Dictionaries and Sparse representation
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Linear Programming Relaxations and Belief Propagation -- An Empirical Study
The Journal of Machine Learning Research
On the Spatial Statistics of Optical Flow
International Journal of Computer Vision
High-order markov random fields for low-level vision
High-order markov random fields for low-level vision
Learning Flexible Features for Conditional Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sparse coding with invariance constraints
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Unsupervised patch-based image regularization and representation
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Efficient belief propagation with learned higher-order markov random fields
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Stable recovery of sparse overcomplete representations in the presence of noise
IEEE Transactions on Information Theory
Image enhancement and denoising by complex diffusion processes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deterministic edge-preserving regularization in computed imaging
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Texture synthesis via a noncausal nonparametric multiscale Markov random field
IEEE Transactions on Image Processing
Estimation of Markov random field prior parameters using Markov chain Monte Carlo maximum likelihood
IEEE Transactions on Image Processing
Image denoising using scale mixtures of Gaussians in the wavelet domain
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Region filling and object removal by exemplar-based image inpainting
IEEE Transactions on Image Processing
Toward automatic phenotyping of developing embryos from videos
IEEE Transactions on Image Processing
From Local Kernel to Nonlocal Multiple-Model Image Denoising
International Journal of Computer Vision
Training an active random field for real-time image denoising
IEEE Transactions on Image Processing
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Steganography using Gibbs random fields
Proceedings of the 12th ACM workshop on Multimedia and security
Minimization of monotonically levelable higher order MRF energies via graph cuts
IEEE Transactions on Image Processing
Gibbs construction in steganography
IEEE Transactions on Information Forensics and Security
Learning the Morphological Diversity
SIAM Journal on Imaging Sciences
Exploiting local structure in Boltzmann machines
Neurocomputing
Solving MRFs with higher-order smoothness priors using hierarchical gradient nodes
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Improving denoising algorithms via a multi-scale meta-procedure
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Centered subset kernel PCA for denoising
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II
Computer Vision and Image Understanding
Computer Vision and Image Understanding
Iterative directional ray-based iris segmentation for challenging periocular images
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Generalized roof duality and bisubmodular functions
Discrete Applied Mathematics
International Journal of Computer Vision
Image deblocking via sparse representation
Image Communication
Discriminative Appearance Models for Pictorial Structures
International Journal of Computer Vision
On learning higher-order consistency potentials for multi-class pixel labeling
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Diverse M-best solutions in markov random fields
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Generic cuts: an efficient algorithm for optimal inference in higher order MRF-MAP
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Loss-specific training of non-parametric image restoration models: a new state of the art
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Computer Vision and Image Understanding
A New Poisson Noise Filter Based on Weights Optimization
Journal of Scientific Computing
On MAP and MMSE estimators for the co-sparse analysis model
Digital Signal Processing
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We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The approach provides a practical method for learning high-order Markov random field (MRF) models with potential functions that extend over large pixel neighborhoods. These clique potentials are modeled using the Product-of-Experts framework that uses non-linear functions of many linear filter responses. In contrast to previous MRF approaches all parameters, including the linear filters themselves, are learned from training data. We demonstrate the capabilities of this Field-of-Experts model with two example applications, image denoising and image inpainting, which are implemented using a simple, approximate inference scheme. While the model is trained on a generic image database and is not tuned toward a specific application, we obtain results that compete with specialized techniques.