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Computer Vision
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Processing
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Image Restoration
3606 directly classified papers
Papers per year
2003: 1
2006: 5
2007: 3
2008: 4
2009: 4
2010: 5
2011: 4
2012: 7
2013: 100
2014: 58
2015: 114
2016: 52
2017: 85
2018: 124
2019: 205
2020: 247
2021: 382
2022: 297
2023: 505
2024: 543
2025: 685
2026: 176
Papers
Training sparse natural image models with a fast Gibbs sampler of an extended state space
NIPS 2012
Locally Uniform Comparison Image Descriptor
NIPS 2012
Angular Quantization-based Binary Codes for Fast Similarity Search
NIPS 2012
Natural Images, Gaussian Mixtures and Dead Leaves
NIPS 2012
Compressive Sensing MRI with Wavelet Tree Sparsity
NIPS 2012
Dependent Hierarchical Beta Process for Image Interpolation and Denoising
AISTATS 2011
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance
NIPS 2011
Generalised Coupled Tensor Factorisation
NIPS 2011
Heavy-tailed Distances for Gradient Based Image Descriptors
NIPS 2011
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction
NIPS 2010
Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake
NIPS 2010
Regularized estimation of image statistics by Score Matching
NIPS 2010
The Maximal Causes of Natural Scenes are Edge Filters
NIPS 2010
Locally Linear Denoising on Image Manifolds
AISTATS 2010
Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions
NIPS 2009
Learning transport operators for image manifolds
NIPS 2009
Fast Image Deconvolution using Hyper-Laplacian Priors
NIPS 2009
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations
NIPS 2009
Natural Image Denoising with Convolutional Networks
NIPS 2008
On the Suitable Domain for SVM Training in Image Coding
JMLR 2008
Regularization on Graphs with Function-adapted Diffusion Processes
JMLR 2008
Non-parametric Regression Between Manifolds
NIPS 2008
Modeling image patches with a directed hierarchy of Markov random fields
NIPS 2007
Fast Iterative Kernel Principal Component Analysis
JMLR 2007
On Sparsity and Overcompleteness in Image Models
NIPS 2007
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