Removing camera shake from a single photograph
ACM SIGGRAPH 2006 Papers
Learning high-order MRF priors of color images
ICML '06 Proceedings of the 23rd international conference on Machine learning
Combining discriminative features to infer complex trajectories
ICML '06 Proceedings of the 23rd international conference on Machine learning
A fast learning algorithm for deep belief nets
Neural Computation
Dynamic quantization for belief propagation in sparse spaces
Computer Vision and Image Understanding
On the Spatial Statistics of Optical Flow
International Journal of Computer Vision
Example-based single document image super-resolution: a global MAP approach with outlier rejection
Multidimensional Systems and Signal Processing
Image deblurring with blurred/noisy image pairs
ACM SIGGRAPH 2007 papers
High-quality motion deblurring from a single image
ACM SIGGRAPH 2008 papers
Local Adaptivity to Variable Smoothness for Exemplar-Based Image Regularization and Representation
International Journal of Computer Vision
Extracting and composing robust features with denoising autoencoders
Proceedings of the 25th international conference on Machine learning
An adaptive window mechanism for image smoothing
Computer Vision and Image Understanding
A new system to acquire and restore document shape and content
PROCAMS '08 Proceedings of the 5th ACM/IEEE International Workshop on Projector camera systems
Contrastive divergence in gaussian diffusions
Neural Computation
Computer Vision and Image Understanding
Efficient belief propagation for higher-order cliques using linear constraint nodes
Computer Vision and Image Understanding
On the Relation between Anisotropic Diffusion and Iterated Adaptive Filtering
Proceedings of the 30th DAGM symposium on Pattern Recognition
Color Photo Denoising Via Hue, Saturation and Intensity Diffusion
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
A Robust Method for Filling Holes in 3D Meshes Based on Image Restoration
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Patch-Based Markov Models for Event Detection in Fluorescence Bioimaging
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Robust Estimation Approach for NL-Means Filter
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
An Improved FoE Model for Image Deblurring
International Journal of Computer Vision
International Journal of Computer Vision
Robust Higher Order Potentials for Enforcing Label Consistency
International Journal of Computer Vision
ACM SIGGRAPH 2009 papers
Estimating Markov Random Field Potentials for Natural Images
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Mumford-Shah regularizer with contextual feedback
Journal of Mathematical Imaging and Vision
Noise brush: interactive high quality image-noise separation
ACM SIGGRAPH Asia 2009 papers
A computational model of the cerebral cortex
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Patch-based video processing: a variational Bayesian approach
IEEE Transactions on Circuits and Systems for Video Technology
Virtual view specification and synthesis for free viewpoint television
IEEE Transactions on Circuits and Systems for Video Technology
What kind of a graphical model is the brain?
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
From Local Kernel to Nonlocal Multiple-Model Image Denoising
International Journal of Computer Vision
Learning super resolution with global and local constraints
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
L1 prior majorization in Bayesian image restoration
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Principal neighborhood dictionaries for nonlocal means image denoising
IEEE Transactions on Image Processing
Personal photo enhancement using example images
ACM Transactions on Graphics (TOG)
IEEE Transactions on Image Processing
A new technique for the digitization and restoration of deteriorated photographic negatives
Journal on Image and Video Processing - Special issue on image and video processing for cultural heritage
Learning explicit and implicit visual manifolds by information projection
Pattern Recognition Letters
Bayesian non-local means filter, image redundancy and adaptive dictionaries for noise removal
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Accurate identification of a Markov-Gibbs model for texture synthesis by bunch sampling
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Image statistics and local spatial conditions for nonstationary blurred image reconstruction
Proceedings of the 29th DAGM conference on Pattern recognition
Optimal learning high-order Markov random fields priors of colour image
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Scale selection for anisotropic diffusion filter by Markov random field model
Pattern Recognition
Interpolating fine texturess with fields of experts prior
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
The infinite hidden Markov random field model
IEEE Transactions on Neural Networks
Image inpainting by patch propagation using patch sparsity
IEEE Transactions on Image Processing
Estimating vignetting function from a single image for image authentication
Proceedings of the 12th ACM workshop on Multimedia and security
Text detection in images using sparse representation with discriminative dictionaries
Image and Vision Computing
Geodesic image and video editing
ACM Transactions on Graphics (TOG)
Learning PDEs for image restoration via optimal control
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
A high-quality video denoising algorithm based on reliable motion estimation
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
High-quality non-blind image deconvolution with adaptive regularization
Journal of Visual Communication and Image Representation
Computer Vision and Image Understanding
Diffusion-Like reconstruction schemes from linear data models
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Introducing dynamic prior knowledge to partially-blurred image restoration
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Unsupervised patch-based image regularization and representation
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Modeling micro-patterns for feature extraction
AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures
Where computer vision needs help from computer science
Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete Algorithms
Sparse neighbor representation for classification
Pattern Recognition Letters
Efficient belief propagation with learned higher-order markov random fields
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
An MMSE approach to nonlocal image denoising: Theory and practical implementation
Journal of Visual Communication and Image Representation
Image deblocking via sparse representation
Image Communication
Edge-preserving color image denoising through tensor voting
Computer Vision and Image Understanding
SimpleFlow: A Non-iterative, Sublinear Optical Flow Algorithm
Computer Graphics Forum
Learning a generative model of images by factoring appearance and shape
Neural Computation
Heritage pieces integration in autonomous augmented reality systems: key problems and solutions
VAST'08 Proceedings of the 9th International conference on Virtual Reality, Archaeology and Cultural Heritage
Solving the inverse problem of image zooming using "self-examples"
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Statistics of patch offsets for image completion
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Patch complexity, finite pixel correlations and optimal denoising
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Hybrid classifiers for object classification with a rich background
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Non-causal temporal prior for video deblocking
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Text image deblurring using text-specific properties
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Bayesian combination of sparse and non-sparse priors in image super resolution
Digital Signal Processing
De-blurring textual document images
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
Nonlocal spectral prior model for low-level vision
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Computer Vision and Image Understanding
Training energy-based models for time-series imputation
The Journal of Machine Learning Research
The Shape Boltzmann Machine: A Strong Model of Object Shape
International Journal of Computer Vision
Event classification for vehicle navigation system by regional optical flow analysis
Machine Vision and Applications
Hi-index | 0.00 |
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 extends traditional Markov Random Field (MRF) models by learning potential functions over extended pixel neighborhoods. Field potentials are modeled using a Products-of-Experts framework that exploits 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 and even outperform specialized techniques.