来自西弗吉利亚大学li xin整理的CV代码合集

港控/mmm° 2022-08-12 01:04 181阅读 0赞

转自：http://blog.csdn.net/titer1/article/details/30459407

分类： [机器学习&&计算机视觉&&数据挖掘&&推荐系统][Link 1] 2014-03-11 11:09 401人阅读 [评论][Link 2](0) 收藏 [举报][Link 3]

[人工智能][Link 4] [机器学习][Link 5] [图像处理][Link 6] [计算机视觉][Link 7]

目录[(?)][Link 8][\[+\]][Link 8]

Reproducible Research in Computational Science

“It doesn't matter how beautiful your theory is, it doesn't matter how smart you are. If it doesn't agree with experiment, it's wrong” - Richard Feynman

"As a method for finding things out, science lives by its disdain for authority and its reliance on experimentation." - Chris Quigg

Welcome to this site about reproducible research in computational science (including signal processing, computer vision, machine learning and neural computation). This site is intended to share the source codes of the latest advances in various technical fields to the best of my knowledge. Only through[Reproducible Research (RR)][Reproducible Research _RR], can we live up to the standard that hard-core science has established since Bacon and Newton. If you know of any release of the source codes that is missing from the list or any broken link, please kindly let me know.

## Image denoising ##

*  [Bayesian Structured Sparse Coding (BSSC)][Bayesian Structured Sparse Coding _BSSC]
 *  [Wavelet-based soft/hard thresholding and TI denoising][Wavelet-based soft_hard thresholding and TI denoising] [Wavelab][]
 *  [Spatially adaptive image denoising under overcomplete expansion][] [SA-OE][]
 *  [Low-complexity image denoising based on statistical modeling of wavelet coefficients][] [code][]
 *  [Bayesian Least-Square Gaussian Scalar Mixture ][Bayesian Least-Square Gaussian Scalar Mixture] [BLS-GSM][]
 *  [Wavelet-domain HMM for image denoising][] [WHMT][]
 *  [Fields of experts model for image denoising][] [FoE][]
 *  [Learning sparse representation for image denoising][] [K-SVD][]
 *  [Shape adaptive DCT based image denoising][] [SA-DCT][]
 *  [Nonlocal mean based image denoising][] [code][code 1] [code2][]
 *  [Block matching 3D (BM3D) image denoising][Block matching 3D _BM3D_ image denoising] [BM3D][]
 *  [Product of Edgeperts denoising][] [PoEdges][]
 *  [Total Least-Square (TLS) image denoising][Total Least-Square _TLS_ image denoising] [TLS][]
 *  [AVMF color image denoising][] [AVMF][]
 *  [Multiscle LMMSE-based image denoising][] [code][code 2]
 *  [Kernel regression based image denoising][] [code][code 3]
 *  [Belief propagation for image restoration][] [code][code 4]
 *  [Gaussian Field-of-Expert (GFoE) denoising][Gaussian Field-of-Expert _GFoE_ denoising] [code][code 5]
 *  [Active random field learning][] [code][code 6]
 *  [Clustering-based Denoising using Locally Learned Dictionaries (K-LLD)][Clustering-based Denoising using Locally Learned Dictionaries _K-LLD]
 *  [Local Pixel Grouping (LPG)-PCA image denoising][Local Pixel Grouping _LPG_-PCA image denoising]
 *  [Leaning simultaneous sparsity coding (LSSC)][Leaning simultaneous sparsity coding _LSSC] [code][code 7] (only runs on 64-bit Linux machine with MATLAB)
 *  [BM3D image denoising with shape - adaptive principal component analysis ][BM3D image denoising with shape - adaptive principal component analysis](BM3D-SAPCA) [code][code 8]
 *  [Learning Non-Local Range Markov Random Field for Image Restoration][] [code][code 9]
 *  [Image denoising via dictionary learning and structural clustering][]
 *  [From Learning Models of Natural Image Patches to Whole Image Restoration][] [code][code 10]
 *  [Image denoising: Can plain Neural Networks compete with BM3D?][Image denoising_ Can plain Neural Networks compete with BM3D]
 *  [Patch-based Locally Optimal Wiener Filtering for Image Denoising][]
 *  [Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images][] [code][code 11]
 *  [Spatially adaptive iterative singular-value threshodlign (SAIST)][Spatially adaptive iterative singular-value threshodlign _SAIST] [code][code 12]
 *  [Image Denoising using the Higher Order Singular Value Decomposition][] [code][code 13]
 *  [Dual-Domain Image Denoising][] [code][code 14]
 *  [Bayesian Structured Sparse Coding (BSSC)][Bayesian Structured Sparse Coding _BSSC]

## Image coding ##

*  [JPEG-LS standard][][LOCO-I][]
 *  [Context-Based, Adaptive, Lossless Image Coding][Context-Based_ Adaptive_ Lossless Image Coding] [CALIC][]
 *  [Edge directed prediction for lossless image compression][] [EDP][]
 *  [TMW lossless image compression][] [Download Code][] (lost in cyberspace)
 *  [Minimum rate prediction with DP-based optimization][] [Code][]
 *  **[Embedded Predictive Wavelet Image Coder][]** [Code][Code 1]
 *  [SPIHT image codec][] [SPIHT][][MATLAB codes][] (third-party implementation)
 *  [Estimation Quantization lossy image codec][] [EQ][]
 *  [Least-Square Estionation Quantization Codec][] [LS-EQ][]
 *  [EBCOT codec for JPEG2000][] [EBCOT][]
 *  [Multiple description coding with prediction compensation][][code][code 15]
 *  [Multiple description image coding based on lagrangian rate allocation][] [code][code 16]

## Image demosaicing ##

*  [Primary-consistent soft-decision (PCSD)-based scheme][Primary-consistent soft-decision _PCSD_-based scheme][executable][]
 *  [Alternate projection (AP)-based scheme][Alternate projection _AP_-based scheme] [AP][]
 *  [Adaptive Homogeneity-Directed (AHD) demosaicing][Adaptive Homogeneity-Directed _AHD_ demosaicing] [AHD][]
 *  [DLMMSE demosaicing][] [DLMMSE][]
 *  [Demosaicing by successive approximation][] [SA][]
 *  [Demosaicing by directional filtering and a posteriori decision][] [dfapd][]
 *  [LPA-ICI demosaicing][] [LPA-ICI][]
 *  [A Model of Retinal Local Adaptation for the Tone Mapping of Color Filter Array Images][]
 *  [Leaning simultaneous sparsity coding (LSSC)][Leaning simultaneous sparsity coding _LSSC] [code][code 7] (only runs on 64-bit Linux machine with MATLAB)
 *  [PCA-based Spatially Adaptive Denoising of CFA Images for Single-Sensor Digital Cameras][] [code][code 17]
 *  [Self-similarity driven image demosaicing][]
 *  [Color Demosaicking by Local Directional Interpolation and Non-local Adaptive Thresholding][] [code][code 18]
 *  [Residual Interpolation for color image demosaicking][]
 *  [Vector-Valued Image Processing by Parallel Level Sets][]

## Image interpolation and Superresolution ##

*  [Linear interpolation revitalized][]
 *  [New edge directed interpolation (NEDI)][New edge directed interpolation _NEDI] [code][code 19]
 *  [Signal Discrete Sinc-interpolation in DCT Domain][] [code][code 20]
 *  [Directional filtering and data fusion][] [DFDF][]
 *  [Wavelet-based texture image interpolation][] [wt\_interp][wt_interp]
 *  [Fast and robust superresolution (SR) toolbox][Fast and robust superresolution _SR_ toolbox] [UCSC-SR][]
 *  [Superresolution for synthetic zooming][] [syn\_zoom][syn_zoom]
 *  [EPFL's frequency-domain approach][EPFL_s frequency-domain approach] [EPFL][]
 *  [Support vector machine based image superresolution][] [result][]
 *  [Image interpolation using multiscale geometric representations][] [Code][Code 2]
 *  [Kriging-based Best Linear Unbiased Estimator][] [Code][Code 3]
 *  [Image interpolation by adaptive 2D autoregressive modeling and soft-decision estimation][] [Executable][executable]
 *  [Super-resolution GUI developed by Bahadir at LSU][]
 *  [Multi-frame image super-resolution][]
 *  [Super-resolution via sparse coding][] [code][code 21]
 *  [Super-resolution through neighbor embedding][] [code][code 22]
 *  [Super-resolution with sparse mixing estimators][]
 *  [Machine learning in multi-frame SR][Multi-frame image super-resolution]
 *  [Example-based learning for super-resolution][]
 *  [Super Resolution using Edge Prior and Single Image Detail Synthesis][] [code][code 23]
 *  [Binary halftone image resolution increasing by decision tree learning][]
 *  [Simultaneous motion deblurring and super-resolution][]
 *  [Exploiting Self-Similarities for Single Frame Super-Resolution][] [code][code 24]
 *  [Fast image/video upsampling][Fast image_video upsampling] (binary executables only)
 *  [Image deblurring and supper-resolution by adaptive sparse domain selection and adaptive regularization][] [code][code 25]
 *  [Image and video upsampling from local self-examples][] [code][code 26](third-party implementation)
 *  [Semi-Coupled Dictionary Learning with Applications to Image Super-resolution and Photo-Sketch Synthesis][]
 *  [Sparse Representation based Image Interpolation with Nonlocal Autoregressive Modeling][]
 *  [Structured Face Hallucination][] [code][code 27]
 *  [Anchored Neighborhood Regression for Fast Example-Based Super-Resolution][] [code][code 28]

## RGBD image processing ##

*  [Indoor Segmentation and Support Inference from RGBD Images][]
 *  [Unsupervised Feature Learning for RGB-D Based Object Recognition][]
 *  [Image Guided Depth Map Upsampling][]

## Image segmentation/parsing and matting ##

*  [Image segmentation by normalized cut][] [Ncut][]
 *  [Epitome-based image segmentation][] [epitome][]
 *  [Bayesian multiscale image segmentation][] [SMAP][]
 *  [Graph-cut Based Image Segmentation][] [segment][] [Code2][]
 *  [EDISON System][] [EDISON][] [Code2][Code2 1]
 *  [Pfinder system][] [Pfinder][]
 *  [A closed form solution to image matting][] [matting][]
 *  [Spectral matting][] [code][code 29]
 *  [Level set evolution without reinitialization][] [Code][Code 4]
 *  [Implicit active contour driven by local binary fitting energy][] [Code][Code 5]
 *  [Snakes, Shapes, and Gradient Vector Flow][Snakes_ Shapes_ and Gradient Vector Flow] [Code][Code 6]
 *  [Unsupervised learning of finite mixture model][] [Code][Code 7]
 *  [DDMCMC Image Segmentation][]
 *  [Image Segmentation by Generalized SW-cuts][]
 *  [A generalized model for scratch detection][]
 *  [Biased normalized cut][]
 *  [Power Watersheds (iccv'2009)][Power Watersheds _iccv_2009] [code][code 30]
 *  [Global contrast based salient region detection][]
 *  [Generalizing Swendsen-Wang to sampling arbitrary posterior probabilities][] [code][code 6]
 *  [Interactive segmentation toolbox][] (GrabCut+LazySnap)
 *  [Geodesic Star Convexity for Interactive Image Segmentation][]
 *  [Distributed Cosegmentation via Submodular Optimization on Anisotropic Diffusion][] [code][code 31]
 *  [Segmenting Scenes by Matching Image Composites][]
 *  [Automatic Image Segmentation by Dynamic Region Merging][][code][code 32]
 *  [Interactive Images: Cuboid Proxies for Smart Image Manipulation][Interactive Images_ Cuboid Proxies for Smart Image Manipulation]
 *  [Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials][]
 *  [Image Segmentation with Cascaded Hierarchical Models and Logistic Disjunctive Normal Networks][] [code][code 33]
 *  [Nonlocal Matting][]
 *  [KNN matting][]

## Image deblurring ##

*  [Fourier-Wavelet Regularized Deconvolution][] [ForWard][]
 *  [Pointwise SA-DCT regularized deconvolution][] [SA-DCT][]
 *  [Image deconvolution using a natural image prior][] [Code][Code 8]
 *  [Total-Variation (TV) based image deblurring][Total-Variation _TV_ based image deblurring] [Code][Code 9]
 *  [Two-step iterative shrinkage/thresholding algorithms for image restoration][Two-step iterative shrinkage_thresholding algorithms for image restoration] [Code][Code 10]
 *  [Iterative methods for image restoration][] [Code][Code 11]
 *  [ICA Toolbox for blind image separation][]
 *  [L0-AbS Deblur 1.0][]
 *  [Regularized Kernel Regression-Based Deblurring (AKTV)][Regularized Kernel Regression-Based Deblurring _AKTV]
 *  [Projection-based deblurring with fine-granularity and spatially adaptive regularization][]
 *  [Fast Gradient-Based Algorithms for Constrained Total Variation Image Deblurring][] [code][code 34]
 *  [Image deblurring by adaptive sparse domain selection and adaptive regularization][Image deblurring and supper-resolution by adaptive sparse domain selection and adaptive regularization] [code][code 25]
 *  [Fast Image Deconvolution using Hyper-Laplacian Priors][]
 *  [BM3D Frames and Variational Image Deblurring][] [code][code 8]
 *  [Centralized Sparse Representation for Image Restoration][][code][code 35]
 *  [Bayesian Structured Sparse Coding (BSSC)][Bayesian Structured Sparse Coding _BSSC]
 *  [Image Restoration Using Joint Statistical Modeling in Space-Transform Domain][]

## Blind image deblurring ##

*  [Removing Camera Shake from a Single Image][] [code\_request\_form][code_request_form]
 *  [High-quality blind motion deblurring (executables only)][High-quality blind motion deblurring _executables only]
 *  [Quality measure for Blind deblurring methods][]
 *  [Eficient Marginal Likelihood Optimization in Blind Deconvolution][] [code][code 36]
 *  [Analyzing spatially varying blur][]
 *  [Fast motion deblurring][]
 *  [Two-phase kernel estimation for robust motion deblurring][]
 *  [Blind deconvolution using a normalized sparsity measure][]
 *  [Efficient Deblurring for Shaken and Partially Saturated Images][]
 *  [Fast Removal of Non-uniform Camera Shake][]
 *  [Multi-frame Blind Deconvolution with Super-resolution and Saturation Correction][]
 *  [Robust Multichannel Blind Deconvolution via Fast Alternating Minimization][]
 *  [Benchmarking blind deconvolution with a real-world database][] (dataset only)
 *  [Frequency domain blind deconvolution in multiframe imaging using anisotropic spatially-adaptive denoising][]
 *  [Handling Noise in Single Image Deblurring using Directional Filters][]

## Texture synthesis ##

*  [Reaction-diffusion textures][] [code][code 37]
 *  [Texture synthesis via a noncausal nonparametric multiscale Markov random field][] [code][code 38]
 *  [Pyramid Based Texture Analysis/Synthesis][Pyramid Based Texture Analysis_Synthesis] [code][code 39]
 *  [Wavelet-domain parametric model][] [code][code 40]
 *  [Texture synthesis by nonparametric sampling][] [code][code 41] (third-party implementation)
 *  [Image quilting][] [code][code 42] [code2][code2 1]
 *  [Synthesizing Natural Textures][] [code][code 43]
 *  [Texture Optimization for Example-based Synthesis][] [code][code 44](third-party implementation)
 *  [Parallel controllable texture synthesis][] [code][code 45]
 *  [Graphcut Textures: Image and Video Synthesis Using Graph Cuts][Graphcut Textures_ Image and Video Synthesis Using Graph Cuts] [code][code 46] (third-party implementation)
 *  [Random Phase Textures: Theory and Synthesis][Random Phase Textures_ Theory and Synthesis] [code][code 47]
 *  [Higher Order SVD Analysis for Dynamic Texture Synthesis][]
 *  [Symmetry-Guided Texture Synthesis and Manipulation][]

## Image inpainting ##

*  [Exemplar-based image inpainting][] [code][code 48]
 *  [Fields of experts model for image inpainting][Fields of experts model for image denoising] [FoE][]
 *  [Image recovery via adaptive sparse representation][] [code][code 49]
 *  [Least-Square based sequential error concealment][] [nsec][Download Code]
 *  [Patch-based nonlocal error concealment][]
 *  [Image recovery via hybrid sparse representation][]
 *  [Higher Order SVD Analysis for Dynamic Texture Synthesis][Higher Order SVD Analysis for Dynamic Texture Synthesis 1]
 *  [TV-based image inpainting][] [code][code 50] [code2][code2 2]
 *  [Robust Locally Linear Analysis with Applications to Image Denoising and Blind Inpainting][] [code][code 51]
 *  [Non-Parametric Bayesian dictionary learning for sparse image representations][] [code][code 52]
 *  [Hierarchical super-resolustion-based inpainting][]

## PDE-based image processing ##

*  [Perona-Malik nonlinear diffusion][] [code][code 53] [code2][code2 3]
 *  [Total variation based image denoising][] [code][code 53] [code2][code2 4]
 *  [Curvature-Driven Diffusion based image inpainting][] [code][code 54]
 *  [Shock filter for image enhancement][] [code][code 53]
 *  [Weickert's anisotropic diffusion][Weickert_s anisotropic diffusion] [code][code 55]
 *  [Mean curvature diffusion (MCD)][Mean curvature diffusion _MCD] [code][code 56]
 *  [A variational method for image recovery][] [code][code 57]
 *  [Speckle reducing anisotropic diffusion][] [code][code 58]
 *  [Parametric Maximum Flow Algorithmsfor Fast Total Variation Minimization][] [code][code 59]
 *  [An Algorithm for Nonlocal TV Minimization][]
 *  [Vector-Valued Image Processing by Parallel Level Sets][]

## Image quality assessment ##

*  [Universal image quality index][] [code][code 60]
 *  [Structural SIMilarity (SSIM) index][Structural SIMilarity _SSIM_ index] [code][code 61]
 *  [Degradation model][] [code][code 62]
 *  [FSIM: A Feature Similarity Index for Image Quality Assessment][FSIM_ A Feature Similarity Index for Image Quality Assessment] [code][code 63]
 *  [A No-Reference Objective Image Sharpness Metric Based on the Notion of Just Noticeable Blur][] [code][code 64]
 *  [An Improved No-Reference Sharpness Metric Based on the Probability of Blur Detection][] [code][code 65]
 *  [Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index][Gradient Magnitude Similarity Deviation_ A Highly Efficient Perceptual Image Quality Index]

## Biometrics ##

*  [Fingerprint enhancement and matching][]
 *  [Daugman's iris recognition algorithm implementation][Daugman_s iris recognition algorithm implementation]
 *  [Photorealistic Models for Pupil Light Reflex and Iridal Pattern Deformation][]
 *  [Gabor Feature based Sparse Representation for Face Recognition][] [code][code 66]
 *  [Robust Sparse Coding for Face Recognition][] [code][code 67]
 *  [Jialong He's Speaker Recognition (Identification) Tool][Jialong He_s Speaker Recognition _Identification_ Tool]
 *  [Unsupervised Salience Learning for Person Re-identification][]
 *  [Pose-free Facial Landmark Fitting via Optimized Part Mixtures and Deformable Shape Model][]
 *  [Robust Sparse Coding for Face Recognition][] [code][code 67]
 *  [Sparse Representation or Collaborative Representation: Which Helps Face Recognition][Sparse Representation or Collaborative Representation_ Which Helps Face Recognition]? [code][code 68]

## Gradient-domain image processing ##

*  [Distributed Gradient-Domain Processing of Planar and Spherical Images][]
 *  [GradientShop:A Gradient-Domain Optimization Framework for Image and Video Filtering][GradientShop_A Gradient-Domain Optimization Framework for Image and Video Filtering]
 *  [Local Laplacian Filters: Edge-aware Image Processing with a Laplacian Pyramid][Local Laplacian Filters_ Edge-aware Image Processing with a Laplacian Pyramid]
 *  [Domain Transform for Edge-Aware Image and Video Processing][]
 *  [Image Smoothing via L 0 Gradient Minimization][]
 *  [Guided image filtering][]

## Video coding ##

*  [MPEG-1/2 reference software][MPEG-1_2 reference software]
 *  [H.263/H.263+ reference software][H.263_H.263_ reference software]
 *  [MPEG4 reference software (MoMuSys version)][MPEG4 reference software _MoMuSys version]
 *  [H.264/AVC reference software][H.264_AVC reference software]
 *  [3D SPIHT video coding][] [code][code 69]
 *  [DISCOVER video codec for DVC][]
 *  [HEVC (H.265) Refence model in development][HEVC _H.265_ Refence model in development]

## Texture/Shape/Image classification ##

*  [Wavelet-based GDD and KL-distance][] [code][code 70]
 *  [Local binary pattern (LBP) based][Local binary pattern _LBP_ based]
 *  [Filter bank based at Visual Geometry Group][]
 *  [A Completed Modeling of Local Binary Pattern Operator for Texture Classification][] [code][code 71]
 *  [Shape Classification Using the Inner-Distance][] [code][code 72]
 *  [Deformed Lattice Detector][] [code][code 73]
 *  [Ensemble Projection for Semi-supervised Image Classification][]

## Object detection/recognition ##

*  [Adaboost method][] [code][code 74]
 *  [Biologically inspired object recognition][] [code][code 75]
 *  [Hierarchical Models of Object Recognition in Cortex][] [code][code 76]
 *  [Scalable recognition with a vocabulary tree][] [Code][Code 12]
 *  [Shock graphs][][code][code 77]
 *  [Shape contexts][] [code][code 78]
 *  [Robust nonrigid point matching][] [Code][Code 13]
 *  [Histograms of Oriented Gradients (HOG)][Histograms of Oriented Gradients _HOG] [code][code 79]
 *  [Pyramid histogram of oriented gradients (PHOG)][Pyramid histogram of oriented gradients _PHOG]
 *  [Beyond Bag of features][] [Code][Code 14]
 *  [SuperParsing][] [Code][Code 15]
 *  [Aggregating Gradient Distributions into Intensity Orders][]
 *  [Matching Local Self-Similarities across Images and Videos][][code][code 80] (third-party implementation)
 *  [Deformed lattice detection in real-world images][]
 *  [Feature-Centric Efficient Subwindow Search][] [code][code 81]
 *  [Poselets: Body Part Detectors Trained Using 3D Human Pose Annotations][Poselets_ Body Part Detectors Trained Using 3D Human Pose Annotations] [code][code 82]
 *  [Ensemble of Exemplar-SVMs for Object Detection and Beyond][]
 *  [Discriminative Learning of Relaxed Hierarchy for Large-scale Visual Recognition][] [code][code 83]
 *  [Multiple Kernels for Object Detection][]
 *  [Ensemble of Exemplar-SVMs for Object Detection and Beyond][]
 *  [Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework][Towards Total Scene Understanding_ Classification_ Annotation and Segmentation in an Automatic Framework]
 *  [Object Bank: A High-Level Image Representation for Scene Classification and Semantic Feature Sparsification][Object Bank_ A High-Level Image Representation for Scene Classification and Semantic Feature Sparsification]
 *  [Informative Feature Selection for Object Recognition via Sparse PCA][] [code][code 84]
 *  [Linear Spatial Pyramid Matching using Sparse Coding for Image Classification][] [code][code 85]
 *  [Locality-constrained Linear Coding for Image Classification][][code][code 86]
 *  [MIT LabelMe Open Annotation tool][]
 *  [Stream-based Joint Exploration-Exploitation Active Learning][][code][code 87]
 *  [BoF meets HOG: Feature Extraction based on Histograms of Oriented p.d.f Gradients for Image Classification][BoF meets HOG_ Feature Extraction based on Histograms of Oriented p.d.f Gradients for Image Classification] [code][code 88]
 *  [Discriminatively trained deformable part models][]
 *  [Joint Deep Learning for Pedestrian Detection][]

## Image registration/mosaicing/OFE ##

*  [Affine SIFT (ASIFT) with online demo][Affine SIFT _ASIFT_ with online demo]
 *  [SIFT Flow: Dense Correspondence across scenes][SIFT Flow_ Dense Correspondence across scenes]
 *  [Lukas-Kanade algorithm][] [code][code 89] [code2][code2 5]
 *  [SIFT feature correspondence][] [code][code 90] [code2][code2 6] [code3][]
 *  [Local binary pattern (LBP)][Local binary pattern _LBP] [code][code 91]
 *  [Speed up robust features (SURF)][Speed up robust features _SURF]
 *  [Compact And Real-time Descriptors (CARD)][Compact And Real-time Descriptors _CARD]
 *  [Maximally stable extremal regions (MSER)][Maximally stable extremal regions _MSER] [code][code 92]
 *  [Graph-cut based optical flow estimation][] [code][code 93]
 *  [Pyramid-based hierarchical motion estimation][] [Code][Code 16]
 *  [Affine Motion Estimation for Medical Image Registration][] [Code][Code 17]
 *  [A frequency-domain approach toward image registration][] [Code][Code 18]
 *  [Blended Intrinsic Maps][]
 *  [An Efficient Earth Mover's Distance Algorithm for Robust Histogram Comparison][An Efficient Earth Mover_s Distance Algorithm for Robust Histogram Comparison] [code][code 94]
 *  [Diffusion Distance for Histogram Comparison][] [code][code 95]
 *  [Coherency Sensitive Hashing][]
 *  [Fast Template Matching in Non-Linear Tone-Mapped Images][][code][code 96]
 *  [BRIEF: Binary Robust Independent Elementary Features][BRIEF_ Binary Robust Independent Elementary Features]
 *  [Autostitch developed for Apple iPhone][]
 *  [Ztitch developed for Windows Phone][Autostitch developed for Apple iPhone]
 *  [Image Matching using Local Symmetry Features][]
 *  [Secrets of optical flow estimation and their principles][][(Matlab code)][Matlab code]
 *  [Segmentation Based Variational Model for Accurate Optical Flow Estimation ][Segmentation Based Variational Model for Accurate Optical Flow Estimation]([Code][Code 19])
 *  [Total variation regularization of local-global optical flow][]
 *  [Motion Detail Preserving Optical Flow Estimation][]
 *  [Large displacement optical flow: descriptor matching in variational motion estimation ][Large displacement optical flow_ descriptor matching in variational motion estimation][code][code 97]
 *  [FAsT-Match: Fast Affine Template Matching][FAsT-Match_ Fast Affine Template Matching]
 *  [Pose-free Facial Landmark Fitting via Optimized Part Mixtures and Deformable Shape Model][]

## Action/event/scene recognition ##

*  [Human Activity Detection from RGBD Images][]
 *  [Action MACH: a spatio-temporal maximum average correlation height filter for action recognition][Action MACH_ a spatio-temporal maximum average correlation height filter for action recognition]
 *  [Evaluation of local spatio-temporal features for action recognition][]
 *  [2D Action Recognition Serves 3D Human Pose Estimation][]
 *  [Hierarchical Mean Shift, Space-Time Segmentation and Action Recognition][Hierarchical Mean Shift_ Space-Time Segmentation and Action Recognition]
 *  [Human Activity Recognition with Metric Learning][]
 *  [A Hough Transform-Based Voting Framework for Action Recognition][]
 *  [Learning hierarchical spatio-temporal features for action recognition with independent subspace analysis][]
 *  [Recognizing Scene Viewpoint using Panoramic Place Representation][]
 *  [Multimodal Decomposable Models for Human Pose Estimation][]

## Visual tracking ##

*  [Object detection and tracking in motion sequence][]
 *  [Incremental Learning for Robust Visual Tracking][] [code][code 98]
 *  [Online Visual Tracking with Histograms and Articulating Blocks][] [code][code 99]
 *  [Kanade-Lucas-Tomasi Feature Tracker][]
 *  [SIFT keypoint detector][] [code2][code2 7] [code3][code3 1]
 *  [Speeded-Up Robust Features (SURF)][Speeded-Up Robust Features _SURF]
 *  [Histogram of oriented gradients (HOG) based human detection][code 79]
 *  [HOGgles: Visualizing Object Detection Features][HOGgles_ Visualizing Object Detection Features]
 *  [Visual tracking using appearance model and particle filters][]
 *  [Video Object Segmentation by Tracking Regions][] [code][code 100]
 *  [Visual tracking decomposition][]
 *  [Robust Visual Tracking using L1 Minimization][] [code][code 101]
 *  [Visual Tracking via Adaptive Structural Local Sparse Appearance Model][]
 *  [Robust Object Tracking via Sparsity-based Collaborative Model][]
 *  [Discrete-Continuous Optimization for Multi-Target Tracking][]
 *  [Multi-Target Tracking by Continuous Energy Minimization][]
 *  [Distribution Fields for Tracking][]
 *  [Least Soft-threshold Squares Tracking][] [code][code 102]
 *  [HOGgles: Visualizing Object Detection Features][HOGgles_ Visualizing Object Detection Features]
 *  [Online Robust Non-negative Dictionary Learning for Visual Tracking][]
 *  [The Way They Move: Tracking Targets with Similar Appearance][The Way They Move_ Tracking Targets with Similar Appearance]
 *  [Real-time compressive tracking][]

## Saliency/Objectness Detection ##

*  [Learning to Detect A Salient Object][] [code (third-party implementation)][code _third-party implementation]
 *  [Dynamic visual attention: searching for coding length increments ][Dynamic visual attention_ searching for coding length increments][code][code 103]
 *  [What is an object?][What is an object]
 *  [Saliency Detection: A Spectral Residual Approach][Saliency Detection_ A Spectral Residual Approach]
 *  [Image Classification: An Integration of Randomization and Discrimination  
    in A Dense Feature Representation][Image Classification_ An Integration of Randomization and Discrimination in A Dense Feature Representation]
 *  [Saliency filters: contrast based filtering for salient region detection][Saliency filters_ contrast based filtering for salient region detection] [code][code 104]
 *  [Global Contrast based Salient Region Detection][Global contrast based salient region detection]
 *  [Frequency-tuned salient region detection][]
 *  [Saliency, attention, and visual search: An information theoretic approach][Saliency_ attention_ and visual search_ An information theoretic approach]
 *  [Saliency detection using maximum symmetric surround][]
 *  [Segmenting salient objects from images and videos][]
 *  [Static and space-time visual saliency detection by self-resemblance][]
 *  [SUN: A bayesian framework for saliency using natural statistics][SUN_ A bayesian framework for saliency using natural statistics]
 *  [Saliency estimation using a non-parametric low-level vision model][]
 *  [model of saliency-based visual attention for rapid scene analysis][]
 *  [Graph-based visual saliency][]
 *  [Context-aware saliency detection][]
 *  [Salient region detection and segmentation][]
 *  [Automatic salient object segmentation based on context and shape prior][]
 *  [Saliency Detection via Graph-based Manifold Ranking][]
 *  [Kernel Null Space Methods for Novelty Detection][]
 *  [Efficient Salient Region Detection with Soft Image Abstraction][]
 *  [A Unified Approach to Salient Object Detection via Low Rank Matrix Recovery][]

## Low rank methods ##

*  [Efficient Computation of Robust Low-Rank Matrix Approximations in the Presence of Missing Data using the L1 Norm][] [code][code 105]
 *  [Low-Rank Matrix Recovery and Completion via Convex Optimization][]
 *  [Predictive low-rank decomposition for kernel methods][]
 *  [Improved Nyström Low-rank Approximation for][Improved Nystr_m Low-rank Approximation for]
    
    [Scalable Manifold Learning][Improved Nystr_m Low-rank Approximation for]
 *  [RASL: Robust Batch Alignment of Images by Sparse and Low-Rank Decomposition][RASL_ Robust Batch Alignment of Images by Sparse and Low-Rank Decomposition]
 *  [TILT: Transform Invariant Low-rank Textures][TILT_ Transform Invariant Low-rank Textures]
 *  [Nonlocal sparsity regularized image restoration: a low-rank approach][Spatially adaptive iterative singular-value threshodlign _SAIST] [code][code 12]
 *  [Bayesian Robust Matrix Factorization for Image and Video Processing][]

## Deep Learning ##

*  [DeepLearnToolbox][]
 *  [Deep Belief Networks][]
 *  [Convolutional deep belief network][]
 *  [Learning Deep Boltzmann Machines][]
 *  [Conditional RBMs/DBNs][Conditional RBMs_DBNs]
 *  [Neocognitron][]
 *  [Convolutional/Deconvolutional networks][Convolutional_Deconvolutional networks]
 *  [Invariant scattering convolution network][]
 *  [Marginalized Stacked Denoising Autoencoders][]
 *  [Joint Deep Learning for Pedestrian Detection][]

## Manifold learning and embedding ##

*  [A Global Geometric Framework for Nonlinear Dimensionality Reduction ][A Global Geometric Framework for Nonlinear Dimensionality Reduction] [code][code 106]
 *  [Nonlinear Dimensionality Reduction by Locally Linear Embedding][] [code][code 107]
 *  [Laplacian Eigenmaps][] [code][code 108]
 *  [Diffusion maps][] [code][code 109]
 *  [Manifold learning toolbox&demo][Manifold learning toolbox_demo]
 *  [Learning distance metric][]
 *  [Diffusion processes for retrieval][]

## Wavelets and frames ##

*  [Emergence of simple-cell receptive field properties by learning a sparse code for natural images ][Emergence of simple-cell receptive field properties by learning a sparse code for natural images][code][code 110]
 *  [A Wavelet Tour of Signal Processing][] [Wavelab][]
 *  [Steerable Pyramid][][matlabPyrtools.tar.gz][]
 *  [Rice Wavelet Toolbox ][Rice Wavelet Toolbox][rwt.zip][]
 *  [Contourlet and Ridgelet Toolbox ][Contourlet and Ridgelet Toolbox] [download][]
 *  [Beamlet and Curvelet Toolbox ][Beamlet and Curvelet Toolbox] [Beamlab][]
 *  [Complex wavelet Toolbox ][Complex wavelet Toolbox] [download][download 1]
 *  [Wavelet/bandelet Toolbox at Matlab Central][Wavelet_bandelet Toolbox at Matlab Central]
 *  [MCALab][]
 *  [Differentiation of discrete multidimensional signals][] [code][code 111]
 *  [The finite ridgelet transform for image representation][] [code][code 112]
 *  [Framing pyramids][] [code][code 113]
 *  [Contourlet transform: an efficient directional multiresolution image representation][Contourlet transform_ an efficient directional multiresolution image representation] [code][code 114]
 *  [Directional multiscale modeling of images using the contourlet transform][] [code][code 115]
 *  [The nonsubsampled contourlet transform: Theory, design, and applications][The nonsubsampled contourlet transform_ Theory_ design_ and applications] [code][code 116]
 *  [Multidimensional directional filter banks and surfacelets][] [code][code 117]

## Compressed Sensing ##

*  [l1-Magic][]
 *  [SparseLab][]
 *  [GPSR][]
 *  [ell-1 LS: Simple Matlab Solver for ell-1-Regularized Least Squares Problems][ell-1 LS_ Simple Matlab Solver for ell-1-Regularized Least Squares Problems]
 *  [sparsify][]
 *  [MPTK: Matching Pursuit Toolkit][MPTK_ Matching Pursuit Toolkit]
 *  [Bayesian Compressive Sensing][]
 *  [SPGL1: A solver for large scale sparse reconstruction][SPGL1_ A solver for large scale sparse reconstruction]
 *  [sparseMRI][]
 *  [FPC][]
 *  [CVX][]
 *  [Chaining Pursuit][]
 *  [Regularized OMP][]
 *  [SPARCO: A toolbox for testing sparse reconstruction algorithms][SPARCO_ A toolbox for testing sparse reconstruction algorithms]
 *  [TwIST][]
 *  [Compressed Sensing Codes][]
 *  [Fast CS using SRM][]
 *  [FPC\_AS][FPC_AS]
 *  [Fast Bayesian Matching Pursuit (FBMP)][Fast Bayesian Matching Pursuit _FBMP]
 *  [SL0][]
 *  [Sparse recovery using sparse matrices][]
 *  [PPPA][]
 *  [Compressive sensing via belief propagation][]
 *  [SpaRSA][]
 *  [KF-CS: Kalman Filtered CS (and other sequential CS algorithms)][KF-CS_ Kalman Filtered CS _and other sequential CS algorithms]
 *  [Fast Bayesian CS with Laplace Priors][]
 *  [YALL1][]
 *  [TVAL3][]
 *  [RecPF][]
 *  [Basis Pursuit DeQuantization (BPDQ)][Basis Pursuit DeQuantization _BPDQ]
 *  [k-t FOCUSS][]
 *  [Sub-Nyquist sampling: The Modulated Wideband Converter][Sub-Nyquist sampling_ The Modulated Wideband Converter]
 *  [Threshold-ISD][]
 *  [A Sparse Learning Package][]
 *  [Model-based Compressive Sensing Toolbox][]
 *  [Sparse Modeling Software][]
 *  [Spectral Compressive Sensing Toolbox][]
 *  [CS-CHEST: A MATLAB Toolbox for Compressive Channel Estimation][CS-CHEST_ A MATLAB Toolbox for Compressive Channel Estimation]
 *  [DictLearn: A MATLAB Implementation for Dictionary Learning][CS-CHEST_ A MATLAB Toolbox for Compressive Channel Estimation]
 *  [SPAMS][Sparse Modeling Software]
 *  [Peformance benchmark of l1-optimization algorithms][]
 *  [BM3D-based compressed sensing][]
 *  [Compressed sensing using belief propagation][]
 *  [Model-based Compressed Sensing][Model-based Compressive Sensing Toolbox]
 *  [Bayesian Compressive Sensing][Bayesian Compressive Sensing 1]
 *  [Latent Variable Graphical Model Selection via Convex Optimization][] [code][code 118]

## HDR imaging ##

*  [HDR image rendering using a retinex-based adaptive filter][]
 *  [Digital Camera Workflow for HDR Images Using a Model of Retinal Processing][]
 *  [HDR image rendering by iCAM06 model][]
 *  [Rafal Mantiuk's research on HDR imaging][Rafal Mantiuk_s research on HDR imaging]
 *  [Binocular Tone Mapping][]
 *  [High dynamic range imaging and tonemapping][]

## Biomedical Imaging ##

*  [SparseMRI Toolbox][sparseMRI]
 *  [Image reconstruction toolbox][]
 *  [medical image registration][Affine Motion Estimation for Medical Image Registration]
 *  [Level set based medical image segmentation][]
 *  [Gradient vector flow][]
 *  [Compressed sensing image reconstruction via recursive spatially adaptive filtering][BM3D-based compressed sensing]
 *  [multiresolution celluar image classification][]
 *  [multirate fluorescence microscopy image acquisition][]
 *  [Nonlocal MRI Upsampling][]
 *  [Joint image reconstruction and sensitivity estimation in SENSE][] (JSENSE) [code][code 119]
 *  [Nonlinear GRAPPA: a kernel approach to parallel MRI reconstruction][Nonlinear GRAPPA_ a kernel approach to parallel MRI reconstruction] [code][code 120]

## 2D Phase Unwrapping ##

*  [Graph cut based 2D Phase unwrapping][] [code][code 121]
 *  [Unwrapping MR phase images by a Markov random field model][] [code][code 122]
 *  [ ][Link 9][Satellite radar interferometry \- Two \- dimensional phase unwrapping ][Satellite radar interferometry _- Two _- dimensional phase unwrapping][code][Link 9]
 *  [Phase unwrapping algorithms for radar interferometry:residue-cut, least-squares, and synthesis algorithms ][Phase unwrapping algorithms for radar interferometry_residue-cut_ least-squares_ and synthesis algorithms][code][code 123]

## DTI and fiber tractography ##

*  [DSI Studio][]
 *  [FMRIB][]
 *  [dtiQuery][]
 *  [Camino][]
 *  [NAMIC][]

## Data Clustering ##

*  [Unsupervised learning of finite mixture models][] [code][Code 7]
 *  [Affinity propagation][]
 *  [On Spectral Clustering: Analysis and an algorithm][On Spectral Clustering_ Analysis and an algorithm] [code][code 124][code2][code2 8] [code3][code3 2]
 *  [Nonnegative matrix factorization (NMF)][Nonnegative matrix factorization _NMF] [code2][code2 9] [code3][code3 3]
 *  [Computing nonnegative tensor factorizations][]
 *  [Fast kmeans via triangle inequality][]
 *  [FastANN and FastCluster for approximate kmeans][]
 *  [kdtree-based NN/kNN search][kdtree-based NN_kNN search] [fast kNN search][] [code2][code2 10]
 *  [RANSAC toolbox for robust fitting][]
 *  [Clustering Through Ranking On Manifolds][] [code][code 125]
 *  [Correlation clustering optimization][]
 *  [Hybrid Linear Modeling via Local Best Flats ][Hybrid Linear Modeling via Local Best Flats][code][code 126]

## Stereo matching& Multiview geometry ##

*  [A taxonomy and evaluation of dense two-frame stereo correspondence algorithms][] [code][code 127]
 *  [Graph cut based stereo matching][] [code][code 128]
 *  [Belief propagation based stereo matching][Belief propagation for image restoration] [code][code 4]
 *  [A roadmap to the integration of early visual modules][Graph-cut based optical flow estimation][Code][code 93]
 *  [Adaptive support-weight approach][] [Code][Code 20]
 *  [Energy minization based stereo matching][]
 *  [Energy Based Multiple Model Fitting for Non-Rigid Structure from Motion][] [code][code 129]
 *  [Recognizing Scene Viewpoint using Panoramic Place Representation][]
 *  [A Closed-Form Solution to Uncalibrated Photometric Stereo via Diffuse Maxima][]
 *  [Patch-based Multi-view Stereo (PMVS)][Patch-based Multi-view Stereo _PMVS]
 *  [Library for Efficient Large-scale Stereo Matching][]

## Graphics, Cartoons,Motion&3D ##

*  [Apparent Layer Operations for the Manipulation of Deformable Objects][]
 *  [2.5D cartoon models][]
 *  [3D modeling with sihouettes][]
 *  [Real-time Large-deformation Substructuring][]
 *  [Generalized biped walking control][]
 *  [Locomotion Skills for Simulated Quadrupeds][]
 *  [Action Recognition from a Distributed Representation of Pose and Appearance][]
 *  [RECON: Scale-Adaptive Robust Estimation via Residual Consensus][RECON_ Scale-Adaptive Robust Estimation via Residual Consensus] [code][code 130]
 *  [How Do Humans Sketch Objects?][How Do Humans Sketch Objects]
 *  [Manifold Exploration: A Markov Chain Monte Carlo technique for rendering scenes with difficult specular transport][Manifold Exploration_ A Markov Chain Monte Carlo technique for rendering scenes with difficult specular transport]
 *  [Exploring Collections of 3D Models using Fuzzy Correspondences][]
 *  [Illuminant Chromaticity from Image Sequences][]
 *  [Network Principles for SfM: Disambiguating Repeated Structures with Local Context][Network Principles for SfM_ Disambiguating Repeated Structures with Local Context]

## Machine learning&Neural Networks ##

*  [Resource collection at UC-Merced][]
 *  [Belief propagation/Sum-Product Algorithm][Belief propagation_Sum-Product Algorithm] [code][code 131]
 *  [Deep Boltzmann Machines][]
 *  [Shape Boltzmann machine: a strong model of object shapes][Shape Boltzmann machine_ a strong model of object shapes]
 *  [Support vector machine][]
 *  [Liblinear for large linear classification][]
 *  [Object detection with Boosting][]
 *  [Convolutional/Deconvolutional networks][Convolutional_Deconvolutional networks]
 *  [Hopfield networks][] [code][code 132]
 *  [Self-organizing map (SOM) Toolbox][Self-organizing map _SOM_ Toolbox]
 *  [Reservoir Computing Toolbox][]
 *  [Polychronization: Computation With Spikes][Polychronization_ Computation With Spikes]
 *  [Slowly coupled oscillators: phase dynamics and sync][Slowly coupled oscillators_ phase dynamics and sync]
 *  [Liquid State Machines(LSM)][Liquid State Machines_LSM] [code][code 133]
 *  [Sparse Coding Neural Gas][] [code][code 134]
 *  [Echo state networks for harnessing nonlinearity][] [code][code 135]
 *  [Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration][]
 *  [Sum-Product Networks: A New Deep Architecture][Sum-Product Networks_ A New Deep Architecture] [code][code 136]
 *  [Deformable graph matching][] [code][code 137]

## Blind source separation ##

*  [Shiro Ikeda's page of Blind Source Separation][Shiro Ikeda_s page of Blind Source Separation]
 *  [Independent Component Analysis by JV Stone][]
 *  [Blind source separation via Independent component analysis][]
 *  [ICALab for image processing][]
 *  [Separating a Real-Life Nonlinear Image Mixture][]

## Camera calibration ##

*  [A toolbox containing several camera calibration techniques][]
 *  [A flexible new technique for camera calibration][]
 *  [Geometric Camera Calibration Using Circular Control Points][]
 *  [A New Mirror-based Extrinsic Camera Calibration Using an Orthogonality Constraint][]

## Sampling&Physics-based Simulation ##

*  [Poisson-disk sampling][]
 *  [Filtering solid Gabor noise][]
 *  [Gabor Noise by Example][]
 *  [Guided Exploration of Physically Valid Shapes for Furniture Design][]
 *  [Efficient Geometrically Exact Continuous Collision Detection][]
 *  [Illuminant Chromaticity from Image Sequences][Illuminant Chromaticity from Image Sequences 1]

## Evolutionary computing/Optimization ##

*  [Ant colony optimization][]
 *  [Genetic algorithm toolbox][]
 *  [Particle Swarm Optimization Toolbox][]
 *  [Cache-efficient graph cuts on structured grids][]

## Networking Research ##

*  [The network simulator (ns-2)][The network simulator _ns-2]
 *  [NetSim at Tetcos][]
 *  [LBNL's software releases][LBNL_s software releases]

## Miscellaneous ##

*  [Simple model of spiking neurons][] [spike train analysis][]
 *  [Visual pattern recognition by moment invariants][] [code][code 138]
 *  [Direct LS-based ellipsis fitting ][Direct LS-based ellipsis fitting] [code][code 139]
 *  [DACE: a MATLAB Kriging toolbox][DACE_ a MATLAB Kriging toolbox]
 *  [Inference package for undirected graphical models][]
 *  [Kernel smoothing toolbox][]
 *  [CMU statistics library collections][]
 *  [Rice DSP software release][]
 *  [Complex network toolbox][]
 *  [DistLearnKit: a MATLAB Toolkit for distance metric learning][Learning distance metric]
 *  [Subspace segmentation source code distribution][]
 *  [Multiview geometry and 3D reconstruction][]
 *  [A probabilistic image jigsaw puzzle solver][]
 *  [Non-Iterative Approach for Fast and Accurate Vanishing Point Detection][] [code][code 140]
 *  [Affine registration of 2d point sets][]
 *  [Rotation Invariant Nonrigid Point Set Matching in Cluttered Scenes][] [code][code 141]
 *  [Tensor Product model transformation (for control design)][Tensor Product model transformation _for control design]
 *  [N-way toolbox][] (more versatile than the above one but slower)
 *  [Simple Formulas For Quasiconformal Plane Deformations][]
 *  [An Analytic Model for Full Spectral Sky-Dome Radiance][]
 *  [Implementation of a Low-Depth of Field Picture Classifier][code _third-party implementation]
 *  [Decoding, Calibration and Rectification for Lenselet-Based Cameras][Decoding_ Calibration and Rectification for Lenselet-Based Cameras]

## Links to other communities' reproducible research effort ##

*  [Geostatistics toolbox][] [mgstat][] [DACE][DACE_ a MATLAB Kriging toolbox]
 *  [Error Correcting Codes (ECC)][Error Correcting Codes _ECC]
 *  [Face recognition software at face-rec.org][]
 *  [Computer graphics][] [graphics papers on the web][]
 *  [Computer vision][] [CV papers on the web][]
 *  [Machine learning][]
 *  [Google Sites on Compressed Sensing][]
 *  [Google Sites on Matrix Factorization][]
 *  [DMOZ Open Directory Project][]
 *  [MATLAB toolbox collection at Plymouth][]
 *  [Neurophysiological data analysis][]
 *  [VLFeat library for open-source CV][]
 *  [Algorithms and source code for Quality&Technology][Algorithms and source code for Quality_Technology]
 *  [Video-based human action detection resources][]
 *  [Data compression resources][]
 *  [Deep learning (including DBM and RBM)][Deep learning _including DBM and RBM]
 *  [Computational Topology][]

## Links to reproducible books/journals/tutorials ##

*  [Image Processing Online (IPOL)][Image Processing Online _IPOL]
 *  [Gradient Domain Manipulation Techniques in Vision and Graphics][]
 *  [Statistical and Structural Recognition of Human Actions][]
 *  [Distance functions and metric learning][]
 *  [Feature Learning for Image Classification][]
 *  [Recognizing and Learning Object Categories][]
 *  [Physics-Based Human Motion Modelling for People Tracking][]
 *  [3d Shape Reconstruction from Photographs: a Multi-View Stereo Approach][3d Shape Reconstruction from Photographs_ a Multi-View Stereo Approach]
 *  [Deblurring Images: Matrices, Spectra, and Filtering][Deblurring Images_ Matrices_ Spectra_ and Filtering]
 *  [Natural image statistics][]
 *  [Spikes, decisions & actions][Spikes_ decisions _ actions]
 *  [Multiple view geometry in computer vision][]
 *  [Collective Animal Behavior][]
 *  [Signal Processing Techniques for Spike Train Analysis using MatLab][]
 *  [Image Processing Online (IPOL)][Image Processing Online _IPOL 1] (many excellent c-coded source codes)

## Links to other individual's reproducible research ##

*  [Abhinav Gupta 's research code release][Abhinav Gupta _s research code release]
 *  [Adrian Barbu's research codes release][code 6]
 *  [Al Hero's Lab and his reproducible research][Al Hero_s Lab and his reproducible research]
 *  [Alexei Efros' research codes release][Alexei Efros_ research codes release]
 *  [Allen Yang's research codes release][Allen Yang_s research codes release]
 *  [Amir Beck's work on optimization theory and applications][Amir Beck_s work on optimization theory and applications]
 *  [Amir Saffari's reproducible reseach code releases][Amir Saffari_s reproducible reseach code releases]
 *  [Amit Agrawal's Matlab and C codes][Amit Agrawal_s Matlab and C codes]
 *  [Anand Rangarajan 's matlab codes on his reproducibleresearch][Anand Rangarajan _s matlab codes on his reproducibleresearch]
 *  [Anat Levin's matlab codes release][Anat Levin_s matlab codes release]
 *  [Andrew Davison's work on Computational neuroscience][Andrew Davison_s work on Computational neuroscience]
 *  [Ann Lee's Diffusion maps and treelet][code 109]
 *  [Andrew Zisserman's visual geometry group source codes][FastANN and FastCluster for approximate kmeans]
 *  [Antonio Torralba's research codes release][Antonio Torralba_s research codes release]
 *  [Ashok Veeraraghavan's reproducible research code release][Ashok Veeraraghavan_s reproducible research code release]
 *  [Ayan Chakrabarti's reproducible research code release][Ayan Chakrabarti_s reproducible research code release]
 *  [Bahadir Gunturk's research code release][AP]
 *  [Bill Freeman's software release on his group's reproducibleresearch][Bill Freeman_s software release on his group_s reproducibleresearch]
 *  [Bob Kass' research codes on neuronal data analysis][Bob Kass_ research codes on neuronal data analysis]
 *  [Ce Liu's software release on his reproducible research][code3 1]
 *  [Chih-Jian Lin's machine learning software release][Chih-Jian Lin_s machine learning software release]
 *  [Chih-Yuan Yang's research code release][Chih-Yuan Yang_s research code release]
 *  [Christopher Kanan's reproducible research code release][Christopher Kanan_s reproducible research code release]
 *  [Chuck Anderson's matlab codes on NNs and reinforcement learning][Chuck Anderson_s matlab codes on NNs and reinforcement learning]
 *  [Chunming Li's research code release][Chunming Li_s research code release]
 *  [Claude Knaus' research codes release][Claude Knaus_ research codes release]
 *  [Dafeng Sun's matlab codes release][Dafeng Sun_s matlab codes release]
 *  [Dan Ellis' MATLAB Audio Processing Examples][Dan Ellis_ MATLAB Audio Processing Examples]
 *  [Daniel DeMenthon's research code release][Hierarchical Mean Shift_ Space-Time Segmentation and Action Recognition]
 *  [Daniel Huttenlocher 's research code release][Daniel Huttenlocher _s research code release]
 *  [Daniel Zoran's research code release][Daniel Zoran_s research code release]
 *  [Danny Harari's software release][Danny Harari_s software release]
 *  [David Heeger's toolboxes][David Heeger_s toolboxes]
 *  [Deqing Sun's reproducible research code release][Matlab code]
 *  [Derek Hoiem's research software release][Derek Hoiem_s research software release]
 *  [Deva Ramanan's work on object recognition][Deva Ramanan_s work on object recognition]
 *  [Dror Baron's research software release][Dror Baron_s research software release]
 *  [Dimitri Van De Ville 's research codes release][Dimitri Van De Ville _s research codes release]
 *  [Emmanuel Candes' software release][Emmanuel Candes_ software release]
 *  [Emanuel Todorov's research codes release][Emanuel Todorov_s research codes release]
 *  [EPFL CVLab's research codes release][EPFL CVLab_s research codes release]
 *  [Eugene M. Izhikevich's matlab codes on NNs][Eugene M. Izhikevich_s matlab codes on NNs]
 *  [Fei-fei Li's research code release][Fei-fei Li_s research code release]
 *  [Guoping Qiu's research codes release][Guoping Qiu_s research codes release]
 *  [Graham Taylor's source codes release][Graham Taylor_s source codes release]
 *  [Guy Gilboa's matlab codes on PDE-based image processing][code 53]
 *  [Haibin Ling's research codes release][Haibin Ling_s research codes release]
 *  [Hanchun Peng's software release][Hanchun Peng_s software release]
 *  [Hao Jiang's research code release][Hao Jiang_s research code release]
 *  [H.J. Seo's interesting collection of everything][H.J. Seo_s interesting collection of everything]
 *  [Honglak Lee's research code release][Honglak Lee_s research code release]
 *  [Huifung Poo's research codes release][Huifung Poo_s research codes release]
 *  [Human sensing @CMU's software release][Human sensing _CMU_s software release]
 *  [INRIA LEAR research codes release][]
 *  [IPL (Politechnico di Torino)'s research codes release][IPL _Politechnico di Torino_s research codes release]
 *  [Jason Corso's research codes release][Jason Corso_s research codes release]
 *  [Jalal Fadili's source codes on sparse representation][Jalal Fadili_s source codes on sparse representation]
 *  [James Hays' research code release][James Hays_ research code release]
 *  [Javier Portilla's research codes release][Javier Portilla_s research codes release]
 *  [Jelena Kovacevic's bimagicLab: Software][Jelena Kovacevic_s bimagicLab_ Software]
 *  [Jeffrey A. Fessler's matlab codes release][Jeffrey A. Fessler_s matlab codes release]
 *  [Jian Sun's research code release][Jian Sun_s research code release]
 *  [Jian Zhang's research code release][Jian Zhang_s research code release]
 *  [Jianbo Shi's software release][Ncut]
 *  [JianChao Yang's source codes on image classification and super-resolution][JianChao Yang_s source codes on image classification and super-resolution]
 *  [Jianxiong Xiao's research codes release][Jianxiong Xiao_s research codes release]
 *  [Jiaya Jia's programs and executables][Jiaya Jia_s programs and executables]
 *  [Jieping Ye's research codes release][Jieping Ye_s research codes release]
 *  [John Paisley's research code release][John Paisley_s research code release]
 *  [Jon Wellner's work on statistics][Jon Wellner_s work on statistics]
 *  [Jose M. Bioucas Dias' research codes release][Jose M. Bioucas Dias_ research codes release]
 *  [Julien Mairal's research code release][Julien Mairal_s research code release]
 *  [Junzhou Huang's research codes release][Junzhou Huang_s research codes release]
 *  [Kai Yu's reproducible research codes release][Kai Yu_s reproducible research codes release]
 *  [Kaihua Zhang's research code release][Kaihua Zhang_s research code release]
 *  [Keigo Hirakara's research codes release][AHD]
 *  [Kilian Q. Weinberger 's research code release][Kilian Q. Weinberger _s research code release]
 *  [Kevin Murphy's Bayes Net Toolbox for Matlab][Kevin Murphy_s Bayes Net Toolbox for Matlab]
 *  [Kyoung Mu Lee 's software release][Kyoung Mu Lee _s software release]
 *  [Laurens van der Maaten's software collection][Laurens van der Maaten_s software collection]
 *  [Laurent Perrinet's SparseHebbianlearning source codes][Laurent Perrinet_s SparseHebbianlearning source codes]
 *  [Lawrence Carin's research code release][Lawrence Carin_s research code release]
 *  [LCAV's reproducible research at EPFL][LCAV_s reproducible research at EPFL]
 *  [LEAR's learning and recognition in vision][INRIA LEAR research codes release]
 *  [Lei Zhang's MATLAB codes releases][Lei Zhang_s MATLAB codes releases]
 *  [Leo Grady's matlab codes on his reproducible research][Leo Grady_s matlab codes on his reproducible research]
 *  [Leslie Ying's research codes release][code 122]
 *  [Lina Karam's research software release][Lina Karam_s research software release]
 *  [Mahdi Soltanolkotabi 's research code release][Mahdi Soltanolkotabi _s research code release]
 *  [Malcolm A. MacIver's AnimalLab][Malcolm A. MacIver_s AnimalLab]
 *  [Marco Zuliani's reproducible research codes release][Marco Zuliani_s reproducible research codes release]
 *  [Mariana S. C. Almeida 's reproducible research code release][Mariana S. C. Almeida _s reproducible research code release]
 *  [Mark A. Davenport's research code release][Mark A. Davenport_s research code release]
 *  [Mark Schmidt's reseach on learning on probabilistic graphical models][Mark Schmidt_s reseach on learning on probabilistic graphical models]
 *  [MATTHIAS J. EHRHARDT's research code release][Vector-Valued Image Processing by Parallel Level Sets]
 *  [Matthew Zeiler's reproducible research code release][Matthew Zeiler_s reproducible research code release]
 *  [MD Anderson Cancer Center: Bioinformatics][MD Anderson Cancer Center_ Bioinformatics]
 *  [Michael Elad's source code collection on his research][Michael Elad_s source code collection on his research]
 *  [Michael J. Brown's research codes release][Michael J. Brown_s research codes release]
 *  [Michal Cernansky's research code release][Michal Cernansky_s research code release]
 *  [Miguel Á. Carreira-Perpiñán 's research software release][Miguel _. Carreira-Perpi_n _s research software release]
 *  [Mikel Rodriguez's source codes release][Mikel Rodriguez_s source codes release]
 *  [Minmin Chen's reproducible research code release][Minmin Chen_s reproducible research code release]
 *  [Ming-ming Chen's reproducible research code release][Ming-ming Chen_s reproducible research code release]
 *  [Ming-Hsuan Yang's reproducible research works][Ming-Hsuan Yang_s reproducible research works]
 *  [Mingyuan Zhou's research codes release][Mingyuan Zhou_s research codes release]
 *  [Naiyan Wang's research codes release][Naiyan Wang_s research codes release]
 *  [Neil Lawrence's reproducible research in machine learning][Neil Lawrence_s reproducible research in machine learning]
 *  [Ofir Pele's research codes release][Ofir Pele_s research codes release]
 *  [Onur Guleryuz's research codes release][Onur Guleryuz_s research codes release]
 *  [Owen Carmichael's software release][Owen Carmichael_s software release]
 *  [Pascal Getreuer's software release][Pascal Getreuer_s software release]
 *  [Patrik O Hoyer's source code collection on his reproducibleresearch][code2 9]
 *  [Paven Turaga's research code release][Paven Turaga_s research code release]
 *  [Pedro Domingos' research codes release][Pedro Domingos_ research codes release]
 *  [PF Felzenszwalb 's research codes release][PF Felzenszwalb _s research codes release]
 *  [Penn State LPAC research code release][]
 *  [Peter Getreuer's reproducible research code release][Peter Getreuer_s reproducible research code release]
 *  [Peter Kovesi's matlab functions for CV and image processing][Peter Kovesi_s matlab functions for CV and image processing]
 *  [Peyman Milanfar's research code release][Peyman Milanfar_s research code release]
 *  [Philipp Krahenbuhl's research codes release][Philipp Krahenbuhl_s research codes release]
 *  [Qingxiong Yang's research codes release][Qingxiong Yang_s research codes release]
 *  [Quoc V. Le's research codes release][Learning hierarchical spatio-temporal features for action recognition with independent subspace analysis]
 *  [Rene Vidal's Visionlab reproducible research code release][Rene Vidal_s Visionlab reproducible research code release]
 *  [Raj Gupta's reproducible research code release][Raj Gupta_s reproducible research code release]
 *  [Raquel Urtasun 's research codes release][Raquel Urtasun _s research codes release]
 *  [Rick Chartland's release on his reproducible research][Rick Chartland_s release on his reproducible research]
 *  [Robert Nowak's source code release][Robert Nowak_s source code release]
 *  [Ruslan Salakhutdinov's research codes release][Ruslan Salakhutdinov_s research codes release]
 *  [Scott Acton's research software releases][Scott Acton_s research software releases]
 *  [Shai Bagon's Matlab Code][Shai Bagon_s Matlab Code]
 *  [Shaoting Zhang's reproducible research code release][Shaoting Zhang_s reproducible research code release]
 *  [Simoncelli's LCV reproducible research codes release][Simoncelli_s LCV reproducible research codes release]
 *  [Sinisa Todorovic's reproducible research codes release][code 100]
 *  [Song-chun Zhu's source codes on image segmentation and active basis][Song-chun Zhu_s source codes on image segmentation and active basis]
 *  [Thomas Brox's research codes release][Thomas Brox_s research codes release]
 *  [Tony Xu Han's reproducible research code release][Tony Xu Han_s reproducible research code release]
 *  [UCF vision lab source code collection][]
 *  [UIUC's salient patch feature collection][UIUC_s salient patch feature collection]
 *  [USC's iLab Neuromorphic Vision C++ Toolkit][USC_s iLab Neuromorphic Vision C_ Toolkit]
 *  [UWO vision lab reproducible research code release][]
 *  [Vanderbilt's StatReport][Vanderbilt_s StatReport]
 *  [Vladimir Kolmogorov's research codes release][Vladimir Kolmogorov_s research codes release]
 *  [Wavelab (at Univ. of Salzburg) software release][Wavelab _at Univ. of Salzburg_ software release]
 *  [WILLOW's research code release][WILLOW_s research code release]
 *  [Wotao Yin's research code release][Wotao Yin_s research code release]
 *  [Xavier Bresson's source codes accompanying his papers on image processing][Xavier Bresson_s source codes accompanying his papers on image processing]
 *  [Xiaodi Hou's research codes release][Saliency Detection_ A Spectral Residual Approach]
 *  [Xiaofei He's dimensionality reduction source code collection][Xiaofei He_s dimensionality reduction source code collection]
 *  [Xiaofeng Ren's research codes release][Xiaofeng Ren_s research codes release]
 *  [Xiaogang Wang's research codes release][Xiaogang Wang_s research codes release]
 *  [Xiaolin Wu's research codes release][executable]
 *  [Xiaoming Huo's software release][Xiaoming Huo_s software release]
 *  [Xubo Song's matlab codes on her reproducible research][Xubo Song_s matlab codes on her reproducible research]
 *  [Yair Weiss' research codes release][Yair Weiss_ research codes release]
 *  [Yi Ma's source code collection on his reproducible research][Yi Ma_s source code collection on his reproducible research]
 *  [Yi Wang's research codes release][Yi Wang_s research codes release]
 *  [York vision research center's software release][York vision research center_s software release]
 *  [Yu-wing Tai's reproducible research code releases][Yu-wing Tai_s reproducible research code releases]
 *  [Yuanjie Zheng's source codes release][Yuanjie Zheng_s source codes release]
 *  [Yue M Lu's source codes on his reproducible research][Yue M Lu_s source codes on his reproducible research]
 *  [Yue Wang at VT-CBIL's research code release][Yue Wang at VT-CBIL_s research code release]
 *  [Zhilin Zhang's research codes release][Zhilin Zhang_s research codes release]
 *  [Zhoulin Jiang's research code release][Zhoulin Jiang_s research code release]
 *  [Zhuowen Tu's research code releases][Zhuowen Tu_s research code releases]

[Link 1]: http://blog.csdn.net/suda072605/article/category/1553669
[Link 2]: http://blog.csdn.net/suda072605/article/details/21000879#comments
[Link 3]: http://blog.csdn.net/suda072605/article/details/21000879#report
[Link 4]: http://www.csdn.net/tag/%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd
[Link 5]: http://www.csdn.net/tag/%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0
[Link 6]: http://www.csdn.net/tag/%e5%9b%be%e5%83%8f%e5%a4%84%e7%90%86
[Link 7]: http://www.csdn.net/tag/%e8%ae%a1%e7%ae%97%e6%9c%ba%e8%a7%86%e8%a7%89
[Link 8]: http://blog.csdn.net/suda072605/article/details/21000879#
[Reproducible Research _RR]: http://reproducibleresearch.net/index.php/Main_Page
[Bayesian Structured Sparse Coding _BSSC]: http://www.csee.wvu.edu/~xinl/demo/IJCV/BSSC_Exps.htm
[Wavelet-based soft_hard thresholding and TI denoising]: http://www-stat.stanford.edu/~donoho/Reports/1995/TIDeNoise.pdf
[Wavelab]: http://www-stat.stanford.edu/~wavelab/
[Spatially adaptive image denoising under overcomplete expansion]: http://www.csee.wvu.edu/~xinl/papers/ICIP2000b.pdf
[SA-OE]: http://www.csee.wvu.edu/~xinl/code/denoise.zip
[Low-complexity image denoising based on statistical modeling of wavelet coefficients]: http://www.kozintsev.net/papers/jounal_05.pdf
[code]: http://www.kozintsev.net/soft/denoising.zip
[Bayesian Least-Square Gaussian Scalar Mixture]: http://www.cns.nyu.edu/pub/lcv/portilla03-reprint.pdf
[BLS-GSM]: http://decsai.ugr.es/~javier/denoise/
[Wavelet-domain HMM for image denoising]: http://users.ece.gatech.edu/~justin/page1/assets/romberg01ba.pdf
[WHMT]: http://www.dsp.rice.edu/software/whmt.shtml
[Fields of experts model for image denoising]: http://www.cs.brown.edu/~roth/pubs/cvpr05roth.pdf
[FoE]: http://www.cs.brown.edu/~roth/research/software.html
[Learning sparse representation for image denoising]: http://www.cs.technion.ac.il/~elad/publications/journals/2005/KSVD_Denoising_IEEE_TIP.pdf
[K-SVD]: http://www.cs.technion.ac.il/~elad/Various/KSVD_Matlab_ToolBox.zip
[Shape adaptive DCT based image denoising]: http://www.cs.tut.fi/~foi/papers/TIP_Pointwise_SA-DCT.pdf
[SA-DCT]: http://www.cs.tut.fi/~foi/SA-DCT/
[Nonlocal mean based image denoising]: http://dmi.uib.es/~abuades/publicacions/cvpr.pdf
[code 1]: http://dmi.uib.es/~abuades/codis/NLmeansfilter.m
[code2]: http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=13619
[Block matching 3D _BM3D_ image denoising]: http://www.cs.tut.fi/~foi/GCF-BM3D/BM3D_TIP_2007.pdf
[BM3D]: http://www.cs.tut.fi/~foi/GCF-BM3D/
[Product of Edgeperts denoising]: http://www.kyb.mpg.de/publications/attachments/NIPS-PoL_final_3531%5B1%5D.pdf
[PoEdges]: http://www.kyb.mpg.de/bs/people/pgehler/poedges/code.html
[Total Least-Square _TLS_ image denoising]: http://www.accidentalmark.com/research/papers/Hirakawa06TLSDenoiseTIP.pdf
[TLS]: http://www.accidentalmark.com/research/packages/TLSdenoise.zip
[AVMF color image denoising]: http://www.springerlink.com/index/W516U4464822J6Q3.pdf
[AVMF]: http://www.dsp.utoronto.ca/~lukacr/download/vec_JIRSavmf.zip
[Multiscle LMMSE-based image denoising]: http://www4.comp.polyu.edu.hk/~cslzhang/code/TCSVT_2005.pdf
[code 2]: http://www4.comp.polyu.edu.hk/~cslzhang/code/interintra.rar
[Kernel regression based image denoising]: http://www.cse.ucsc.edu/~milanfar/KernelRegression_Final.pdf
[code 3]: http://www.soe.ucsc.edu/~htakeda/MatlabApp/KernelRegressionBasedImageProcessingToolBox_ver1-1beta.zip
[Belief propagation for image restoration]: http://people.cs.uchicago.edu/~pff/papers/bp-long.pdf
[code 4]: http://people.cs.uchicago.edu/~pff/bp/
[Gaussian Field-of-Expert _GFoE_ denoising]: http://www.cs.huji.ac.il/~yweiss/foe-final.pdf
[code 5]: http://www.cs.huji.ac.il/~yweiss/BRFOE.zip
[Active random field learning]: http://stat.fsu.edu/~abarbu/papers/denoise_tip.pdf
[code 6]: http://stat.fsu.edu/~abarbu/Software.html
[Clustering-based Denoising using Locally Learned Dictionaries _K-LLD]: http://users.soe.ucsc.edu/~priyam/K-LLD/
[Local Pixel Grouping _LPG_-PCA image denoising]: http://www4.comp.polyu.edu.hk/~cslzhang/LPG-PCA-denoising.htm
[Leaning simultaneous sparsity coding _LSSC]: http://www.di.ens.fr/willow/pdfs/iccv09a.pdf
[code 7]: http://www.di.ens.fr/~mairal/denoise_ICCV09.tar.gz
[BM3D image denoising with shape - adaptive principal component analysis]: http://hal.inria.fr/docs/00/36/95/82/PDF/33.pdf
[code 8]: http://www.cs.tut.fi/~foi/GCF-BM3D/index.html#ref_software
[Learning Non-Local Range Markov Random Field for Image Restoration]: http://gr.xjtu.edu.cn:8080/LiferayFCKeditor/UserFiles/File/0873%283%29.pdf
[code 9]: http://gr.xjtu.edu.cn/LiferayFCKeditor/UserFiles/File/NLR_MRF.zip
[Image denoising via dictionary learning and structural clustering]: http://www.csee.wvu.edu/~xinl/CSR.html
[From Learning Models of Natural Image Patches to Whole Image Restoration]: http://www.cs.huji.ac.il/~daniez/EPLLICCVCameraReady.pdf
[code 10]: http://www.cs.huji.ac.il/~daniez/epllcode.zip
[Image denoising_ Can plain Neural Networks compete with BM3D]: http://people.tuebingen.mpg.de/burger/neural_denoising/
[Patch-based Locally Optimal Wiener Filtering for Image Denoising]: http://users.soe.ucsc.edu/~priyam/PLOW/
[Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images]: http://people.ee.duke.edu/~mz1/Papers/BPFAImage_Journal_11-2.pdf
[code 11]: http://people.ee.duke.edu/~mz1/Results/BPFAImage/
[Spatially adaptive iterative singular-value threshodlign _SAIST]: http://www.csee.wvu.edu/~xinl/papers/TIP2012b.pdf
[code 12]: http://www.csee.wvu.edu/~xinl/demo/saist.html
[Image Denoising using the Higher Order Singular Value Decomposition]: http://www.cise.ufl.edu/~arunava/papers/pami-denoising.pdf
[code 13]: http://intranet.daiict.ac.in/~ajit_r/Code_PAMI2012.tar.gz
[Dual-Domain Image Denoising]: http://cgg.unibe.ch/publications/2013/dual-domain-image-denoising/at_download/file
[code 14]: http://cgg.unibe.ch/staff/claude-knaus/ddid.zip
[JPEG-LS standard]: http://www.hpl.hp.com/techreports/98/HPL-98-193.pdf
[LOCO-I]: http://www.hpl.hp.com/loco/software.htm
[Context-Based_ Adaptive_ Lossless Image Coding]: http://ieeexplore.ieee.org/iel1/26/12705/00585919.pdf?tp=&isnumber=&arnumber=585919
[CALIC]: http://www.ece.mcmaster.ca/~xwu/calicexe/
[Edge directed prediction for lossless image compression]: http://www.csee.wvu.edu/~xinl/papers/EDP.pdf
[EDP]: http://www.csee.wvu.edu/~xinl/code/edp.zip
[TMW lossless image compression]: http://www-win.compression.graphicon.ru/download/articles/i_glless/meyer_tischer_1997_tmw.pdf
[Download Code]: http://www.csee.wvu.edu/~xinl/code/nsec.zip
[Minimum rate prediction with DP-based optimization]: http://itohws03.ee.noda.sut.ac.jp/~matsuda/mrp/
[Code]: http://itohws03.ee.noda.sut.ac.jp/~matsuda/mrp/mrp-05.tar.gz
[Embedded Predictive Wavelet Image Coder]: http://www.cns.nyu.edu/pub/eero/buccigrossi97-reprint.pdf
[Code 1]: http://www.cns.nyu.edu/pub/eero/EPWIC-1.tar.gz
[SPIHT image codec]: http://www.cipr.rpi.edu/research/SPIHT/EW_Code/csvt96_sp.pdf
[SPIHT]: http://www.cipr.rpi.edu/research/SPIHT/spiht3.html
[MATLAB codes]: http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=4808&objectType=file
[Estimation Quantization lossy image codec]: http://citeseer.ist.psu.edu/lopresto97image.html
[EQ]: http://www.csee.wvu.edu/~xinl/code/eq.zip
[Least-Square Estionation Quantization Codec]: http://www.csee.wvu.edu/~xinl/papers/TIP2003.pdf
[LS-EQ]: http://www.csee.wvu.edu/~xinl/code/lseq.zip
[EBCOT codec for JPEG2000]: http://www.eng.iastate.edu/ee528/SpecialTopics/JPEG2000/ebcott_ip.pdf
[EBCOT]: http://www.kakadusoftware.com/
[Multiple description coding with prediction compensation]: http://www.sfu.ca/~jiel/papers/MDLTPC.pdf
[code 15]: http://www.sfu.ca/~jiel/software/MDLTPC.zip
[Multiple description image coding based on lagrangian rate allocation]: http://www.znu.ac.ir/data/members/fazli_saeid/DIP/Paper/ISSUE3/04099410.pdf
[code 16]: http://www.telematica.polito.it/sas-ipl/stat/dlcount.php?id=iplgroup&url=/Tillo/OpenJpeg2des_exhaustive.zip
[Primary-consistent soft-decision _PCSD_-based scheme]: http://www.ieeexplore.ieee.org/iel5/83/29293/01323106.pdf
[executable]: http://www.ece.mcmaster.ca/~xwu/
[Alternate projection _AP_-based scheme]: http://www.ece.gatech.edu/research/labs/MCCL/pubs/dwnlds/bahadir_sep2002.pdf
[AP]: http://www.ece.lsu.edu/ipl/Software.html
[Adaptive Homogeneity-Directed _AHD_ demosaicing]: http://www.accidentalmark.com/research/papers/Hirakawa05MNdemosaicTIP.pdf
[AHD]: http://campus.udayton.edu/~ISSL/index.php/software/
[DLMMSE demosaicing]: http://www4.comp.polyu.edu.hk/~cslzhang/code/LMMSEdemosaicing.pdf
[DLMMSE]: http://www4.comp.polyu.edu.hk/~cslzhang/code/dlmmse.m
[Demosaicing by successive approximation]: http://www.csee.wvu.edu/~xinl/papers/TIP2005.pdf
[SA]: http://www.csee.wvu.edu/~xinl/code/demosaic.zip
[Demosaicing by directional filtering and a posteriori decision]: http://www.dei.unipd.it/~menond/pub/dfapd/menon_tip07.pdf
[dfapd]: http://www.dei.unipd.it/~menond/pub/dfapd/ddfapd.zip
[LPA-ICI demosaicing]: http://www.cs.tut.fi/~lasip/cfai/
[LPA-ICI]: http://www.cs.tut.fi/~lasip/cfai/LASIP_cfai.zip
[A Model of Retinal Local Adaptation for the Tone Mapping of Color Filter Array Images]: http://ivrg.epfl.ch/supplementary_material/LM_JOSA06/index.html
[PCA-based Spatially Adaptive Denoising of CFA Images for Single-Sensor Digital Cameras]: http://www4.comp.polyu.edu.hk/~cslzhang/PCA_CFA_DN/CFA_Denoising.pdf
[code 17]: http://www4.comp.polyu.edu.hk/~cslzhang/code/pca_cfa_denoising.zip
[Self-similarity driven image demosaicing]: http://www.ipol.im/pub/algo/bcms_self_similarity_driven_demosaicking/
[Color Demosaicking by Local Directional Interpolation and Non-local Adaptive Thresholding]: http://www4.comp.polyu.edu.hk/~cslzhang/paper/NAT_CDM_JEI.pdf
[code 18]: http://www4.comp.polyu.edu.hk/~cslzhang/code/nat.zip
[Residual Interpolation for color image demosaicking]: http://www.ok.ctrl.titech.ac.jp/res/DM/RI.html
[Vector-Valued Image Processing by Parallel Level Sets]: http://www0.cs.ucl.ac.uk/staff/ehrhardt/software.html
[Linear interpolation revitalized]: http://bigwww.epfl.ch/thevenaz/shiftedlin/
[New edge directed interpolation _NEDI]: http://www.csee.wvu.edu/~xinl/papers/NEDI.pdf
[code 19]: http://www.csee.wvu.edu/~xinl/code/nedi.zip
[Signal Discrete Sinc-interpolation in DCT Domain]: http://www.eng.tau.ac.il/~yaro/RecentPublications/ps%26pdf/BoundEffFreeAdaptSincInterp_ApplOpt.pdf
[code 20]: http://www.cs.tut.fi/~happonen/fastint/
[Directional filtering and data fusion]: http://www4.comp.polyu.edu.hk/~cslzhang/code/TIP2006_INTP.pdf
[DFDF]: http://www4.comp.polyu.edu.hk/~cslzhang/code/esintp.m
[Wavelet-based texture image interpolation]: http://www.csee.wvu.edu/~xinl/papers/IJIVP2007.pdf
[wt_interp]: http://www.csee.wvu.edu/~xinl/code/wt_interp.zip
[Fast and robust superresolution _SR_ toolbox]: http://www.cse.ucsc.edu/~milanfar/SRfinal.pdf
[UCSC-SR]: http://www.soe.ucsc.edu/~milanfar/SR-Software.htm
[Superresolution for synthetic zooming]: http://www.csee.wvu.edu/~xinl/papers/JASP2005.pdf
[syn_zoom]: http://www.csee.wvu.edu/~xinl/code/syn_zoom.zip
[EPFL_s frequency-domain approach]: http://infoscience.epfl.ch/getfile.py?recid=33804&mode=best
[EPFL]: http://lcavwww.epfl.ch/software/superresolution/index.html
[Support vector machine based image superresolution]: http://videoprocessing.ucsd.edu/~karl/main_3.pdf
[result]: http://videoprocessing.ucsd.edu/~karl/sr_svm.html
[Image interpolation using multiscale geometric representations]: http://www.ifp.uiuc.edu/~nmueller/interp_contourlet.pdf
[Code 2]: http://www.ifp.uiuc.edu/~nmueller/interpcontourlet.zip
[Kriging-based Best Linear Unbiased Estimator]: http://globec.whoi.edu/software/kriging/easy_krig/easy_krig.html
[Code 3]: ftp://globec.whoi.edu/pub/software/kriging/easy_krig/V3.0.1/
[Image interpolation by adaptive 2D autoregressive modeling and soft-decision estimation]: http://www.csee.wvu.edu/~xinl/courses/ee565/papers/ARinterpolation.pdf
[Super-resolution GUI developed by Bahadir at LSU]: http://www.ece.lsu.edu/ipl/Demos.html
[Multi-frame image super-resolution]: http://www.robots.ox.ac.uk/~vgg/software/SR/index.html
[Super-resolution via sparse coding]: http://www.ifp.illinois.edu/~jyang29/papers/TIP-ScSR.pdf
[code 21]: http://www.ifp.illinois.edu/~jyang29/codes/CVPR08-SR.rar
[Super-resolution through neighbor embedding]: http://www.jdl.ac.cn/user/hchang/doc/cvpr04.pdf
[code 22]: http://www.jdl.ac.cn/user/hchang/doc/code.rar
[Super-resolution with sparse mixing estimators]: http://www.cmap.polytechnique.fr/~yu/research/SME/SME.htm
[Example-based learning for super-resolution]: http://people.csail.mit.edu/billf/project%20pages/sresCode/Markov%20Random%20Fields%20for%20Super-Resolution.html
[Super Resolution using Edge Prior and Single Image Detail Synthesis]: http://yuwing.kaist.ac.kr/papers/tai10cvpr_sr.pdf
[code 23]: http://yuwing.kaist.ac.kr/projects/superresolution/index.htm
[Binary halftone image resolution increasing by decision tree learning]: http://www.lps.usp.br/~hae/software/halfzoom/
[Simultaneous motion deblurring and super-resolution]: http://www.csee.wvu.edu/cvpr07/SuperRes.html
[Exploiting Self-Similarities for Single Frame Super-Resolution]: https://eng.ucmerced.edu/people/cyang35/accv10_final_v2.pdf
[code 24]: https://eng.ucmerced.edu/people/cyang35/ACCV10.zip
[Fast image_video upsampling]: http://www.cse.cuhk.edu.hk/~leojia/projects/upsampling/index.html
[Image deblurring and supper-resolution by adaptive sparse domain selection and adaptive regularization]: http://www4.comp.polyu.edu.hk/~cslzhang/paper/ASDS_TIP_R2.pdf
[code 25]: http://www4.comp.polyu.edu.hk/~cslzhang/ASDS_AReg.htm
[Image and video upsampling from local self-examples]: http://www.cs.huji.ac.il/~raananf/projects/lss_upscale/index.html
[code 26]: http://www.csee.wvu.edu/~xinl/code/localselfsimilarity.rar
[Semi-Coupled Dictionary Learning with Applications to Image Super-resolution and Photo-Sketch Synthesis]: http://www4.comp.polyu.edu.hk/~cslzhang/SCDL.htm
[Sparse Representation based Image Interpolation with Nonlocal Autoregressive Modeling]: http://www4.comp.polyu.edu.hk/~cslzhang/NARM.htm
[Structured Face Hallucination]: http://faculty.ucmerced.edu/mhyang/papers/cvpr13_hallucination.pdf
[code 27]: https://eng.ucmerced.edu/people/cyang35/CVPR13/StructuredFaceHallucination_v1.1.zip
[Anchored Neighborhood Regression for Fast Example-Based Super-Resolution]: http://homes.esat.kuleuven.be/~rtimofte/publications/Timofte-ICCV-2013.pdf
[code 28]: http://homes.esat.kuleuven.be/~rtimofte/software/SR_NE_ANR.zip
[Indoor Segmentation and Support Inference from RGBD Images]: http://cs.nyu.edu/~silberman/projects/indoor_scene_seg_sup.html
[Unsupervised Feature Learning for RGB-D Based Object Recognition]: http://www.cs.washington.edu/ai/Mobile_Robotics/projects/hmp/index.htm
[Image Guided Depth Map Upsampling]: http://rvlab.icg.tugraz.at/project_page/project_tofusion/project_tofsuperresolution.html
[Image segmentation by normalized cut]: http://www.cis.upenn.edu/~jshi/papers/pami_ncut.pdf
[Ncut]: http://www.cis.upenn.edu/~jshi/software/
[Epitome-based image segmentation]: http://research.microsoft.com/~jojic/epitome/epitome.pdf
[epitome]: http://research.microsoft.com/~jojic/software.htm
[Bayesian multiscale image segmentation]: http://www.ece.purdue.edu/~bouman/publications/pdf/ip2.pdf
[SMAP]: http://cobweb.ecn.purdue.edu/~bouman/software/segmentation
[Graph-cut Based Image Segmentation]: http://people.cs.uchicago.edu/~pff/papers/seg-ijcv.pdf
[segment]: http://people.cs.uchicago.edu/~pff/segment/segment.zip
[Code2]: http://www.wisdom.weizmann.ac.il/~bagon/matlab.html#graphcut%20
[EDISON System]: http://www.caip.rutgers.edu/riul/research/papers/abstract/mnshft.html
[EDISON]: http://www.caip.rutgers.edu/riul/research/code/EDISON/index.html
[Code2 1]: http://www.wisdom.weizmann.ac.il/~bagon/matlab.html#edison%20
[Pfinder system]: http://www-white.media.mit.edu/vismod/publications/techdir/TR-353.ps.Z
[Pfinder]: http://www.nbb.cornell.edu/neurobio/land/OldStudentProjects/cs490-95to96/sadahiro/cs490rpt.html#codes
[A closed form solution to image matting]: http://people.csail.mit.edu/alevin/papers/Matting-Levin-Lischinski-Weiss-CVPR06.pdf
[matting]: http://people.csail.mit.edu/alevin/matting.tar.gz
[Spectral matting]: http://www.vision.huji.ac.il/SpectralMatting/spectralMatting.pdf
[code 29]: http://www.vision.huji.ac.il/SpectralMatting/
[Level set evolution without reinitialization]: http://www.engr.uconn.edu/~cmli/paper/levelset_cvpr05.pdf
[Code 4]: http://www.engr.uconn.edu/~cmli/code/LevelSet_ChunmingLi_v1.rar
[Implicit active contour driven by local binary fitting energy]: http://www.engr.uconn.edu/~cmli/paper/LBF_CVPR07.pdf
[Code 5]: http://www.engr.uconn.edu/~cmli/code/LBF_v0.1.zip
[Snakes_ Shapes_ and Gradient Vector Flow]: http://iacl.ece.jhu.edu/pubs/p084j.pdf
[Code 6]: http://iacl.ece.jhu.edu/projects/gvf/
[Unsupervised learning of finite mixture model]: http://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.28.2970
[Code 7]: http://www.lx.it.pt/~mtf/mixturecode.zip
[DDMCMC Image Segmentation]: http://users.loni.ucla.edu/~ztu/Download_ddmcmc.htm
[Image Segmentation by Generalized SW-cuts]: http://users.loni.ucla.edu/~ztu/Download_seg.htm
[A generalized model for scratch detection]: http://www.iac.cnr.it/~vitulano/mod.htm
[Biased normalized cut]: http://www.cs.berkeley.edu/~smaji/projects/biasedNcuts/
[Power Watersheds _iccv_2009]: http://www.esiee.fr/~coupriec/945paper.pdf
[code 30]: http://www.esiee.fr/~coupriec/code.html
[Global contrast based salient region detection]: http://cg.cs.tsinghua.edu.cn/people/~cmm/saliency/
[Generalizing Swendsen-Wang to sampling arbitrary posterior probabilities]: http://stat.fsu.edu/~abarbu/papers/partition-pami.pdf
[Interactive segmentation toolbox]: http://www.cs.cmu.edu/~mohitg/segmentation.htm
[Geodesic Star Convexity for Interactive Image Segmentation]: http://www.robots.ox.ac.uk/~vgg/software/iseg/index.shtml
[Distributed Cosegmentation via Submodular Optimization on Anisotropic Diffusion]: http://www.cs.cmu.edu/~gunhee/publish/iccv11_coseg.pdf
[code 31]: http://www.cs.cmu.edu/~gunhee/r_seg_submod.html
[Segmenting Scenes by Matching Image Composites]: http://www.cs.washington.edu/homes/bcr/projects/SceneComposites/index.html
[Automatic Image Segmentation by Dynamic Region Merging]: http://www4.comp.polyu.edu.hk/~cslzhang/paper/AIS_DRM_single.pdf
[code 32]: http://www4.comp.polyu.edu.hk/~cslzhang/code/TIP_DRM_exe.zip
[Interactive Images_ Cuboid Proxies for Smart Image Manipulation]: http://vecg.cs.ucl.ac.uk/Projects/SmartGeometry/interactive_images/interactiveImages_sigg12.html
[Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials]: http://graphics.stanford.edu/projects/densecrf/
[Image Segmentation with Cascaded Hierarchical Models and Logistic Disjunctive Normal Networks]: http://sci.utah.edu/publications/seyedhosseini13/Seyedhosseini_ICCV2013.pdf
[code 33]: http://sci.utah.edu/~mseyed/Mojtaba_Seyedhosseini/Codes.html
[Nonlocal Matting]: https://github.com/rocketman768/NonlocalMatting
[KNN matting]: http://dingzeyu.li/projects/knn/
[Fourier-Wavelet Regularized Deconvolution]: http://www.dsp.rice.edu/publications/pub/neelshdecon.pdf
[ForWard]: http://www.dsp.ece.rice.edu/software/ward.shtml
[Pointwise SA-DCT regularized deconvolution]: http://www.cs.tut.fi/~foi/SA-DCT/results.html#ref_deblur
[Image deconvolution using a natural image prior]: http://groups.csail.mit.edu/graphics/CodedAperture/SparseDeconv-LevinEtAl07.pdf
[Code 8]: http://groups.csail.mit.edu/graphics/CodedAperture/DeconvolutionCode.html
[Total-Variation _TV_ based image deblurring]: http://www.lx.it.pt/~bioucas/files/Dias_Figueiredo_Oliveira_ICASSP06.pdf
[Code 9]: http://www.lx.it.pt/~bioucas/code/adaptive%20TVMM%20demo.zip
[Two-step iterative shrinkage_thresholding algorithms for image restoration]: http://www.lx.it.pt/~bioucas/files/Bioucas-Dias_Figueiredo_IEEE-TIP_2007.pdf
[Code 10]: http://www.lx.it.pt/~bioucas/code/TwIST_v1.zip
[Iterative methods for image restoration]: ftp://ftp.mathcs.emory.edu/pub/nagy/papers/RestoreTools1.pdf
[Code 11]: http://www.mathcs.emory.edu/~nagy/RestoreTools/index.html
[ICA Toolbox for blind image separation]: http://www.bsp.brain.riken.go.jp/ICALAB/
[L0-AbS Deblur 1.0]: http://www.io.csic.es/PagsPers/JPortilla/deblur/index.htm
[Regularized Kernel Regression-Based Deblurring _AKTV]: http://www.soe.ucsc.edu/~htakeda/AKTV.htm
[Projection-based deblurring with fine-granularity and spatially adaptive regularization]: http://www.csee.wvu.edu/~xinl/demo/deblurring.html
[Fast Gradient-Based Algorithms for Constrained Total Variation Image Deblurring]: http://www.csee.wvu.edu/~becka/papers/new-vers6.pdf
[code 34]: http://ie.technion.ac.il/~becka/papers/tv_fista.zip
[Fast Image Deconvolution using Hyper-Laplacian Priors]: http://cs.nyu.edu/~dilip/research/fast-deconvolution/
[BM3D Frames and Variational Image Deblurring]: http://www.cs.tut.fi/~foi/GCF-BM3D/BM3DframesDeblur-Danielyan.pdf
[Centralized Sparse Representation for Image Restoration]: http://www4.comp.polyu.edu.hk/~cslzhang/paper/conf/iccv11/ICCV_CSR_Final.pdf
[code 35]: http://www4.comp.polyu.edu.hk/~cslzhang/code/CSR_IR.zip
[Image Restoration Using Joint Statistical Modeling in Space-Transform Domain]: http://idm.pku.edu.cn/staff/zhangjian/IRJSM/
[Removing Camera Shake from a Single Image]: http://cs.nyu.edu/~fergus/papers/deblur_fergus.pdf
[code_request_form]: http://cs.nyu.edu/~fergus/deblur_code_form.html
[High-quality blind motion deblurring _executables only]: http://www.cse.cuhk.edu.hk/~leojia/projects/motion_deblurring/index.html
[Quality measure for Blind deblurring methods]: http://www.lx.it.pt/~mscla/BID_QM.htm
[Eficient Marginal Likelihood Optimization in Blind Deconvolution]: http://www.wisdom.weizmann.ac.il/~levina/papers/deconvLevinEtalCVPR11.pdf
[code 36]: http://www.wisdom.weizmann.ac.il/~levina/papers/LevinEtalCVPR2011Code.zip
[Analyzing spatially varying blur]: http://www.eecs.harvard.edu/~ayanc/svblur/
[Fast motion deblurring]: http://cg.postech.ac.kr/research/fast_motion_deblurring/
[Two-phase kernel estimation for robust motion deblurring]: http://www.cse.cuhk.edu.hk/~leojia/projects/robust_deblur/
[Blind deconvolution using a normalized sparsity measure]: http://cs.nyu.edu/~dilip/wordpress/?page_id=159
[Efficient Deblurring for Shaken and Partially Saturated Images]: http://www.di.ens.fr/willow/research/saturation/
[Fast Removal of Non-uniform Camera Shake]: http://webdav.is.mpg.de/pixel/fast_removal_of_camera_shake/
[Multi-frame Blind Deconvolution with Super-resolution and Saturation Correction]: http://webdav.is.mpg.de/pixel/obd/
[Robust Multichannel Blind Deconvolution via Fast Alternating Minimization]: http://zoi.utia.cas.cz/fastdeconv.html#attachments
[Benchmarking blind deconvolution with a real-world database]: http://webdav.is.mpg.de/pixel/benchmark4camerashake/
[Frequency domain blind deconvolution in multiframe imaging using anisotropic spatially-adaptive denoising]: http://www.cs.tut.fi/~lasip/BlindDeconvolution/
[Handling Noise in Single Image Deblurring using Directional Filters]: http://research.rutgers.edu/~linzhong/deblur_project.html
[Reaction-diffusion textures]: http://www.cs.cmu.edu/~aw/pdf/texture.pdf
[code 37]: http://www.cc.gatech.edu/~turk/reaction_diffusion/reaction_diffusion.html
[Texture synthesis via a noncausal nonparametric multiscale Markov random field]: http://www.texturesynthesis.com/papers/Paget_IP_1998.pdf
[code 38]: http://www.texturesynthesis.com/MRFsynthesis_v1.2.tar.gz
[Pyramid Based Texture Analysis_Synthesis]: http://www.csee.wvu.edu/~xinl/courses/ee565/papers/pyramid_texture.pdf
[code 39]: http://www.csee.wvu.edu/~xinl/courses/ee565/demos/texture_demo.rar
[Wavelet-domain parametric model]: http://www.cns.nyu.edu/ftp/eero/portilla99-reprint.pdf
[code 40]: http://www.cns.nyu.edu/~lcv/texture/
[Texture synthesis by nonparametric sampling]: http://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0CCIQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.87.5386%26rep%3Drep1%26type%3Dpdf&ei=Z6DJTtD7NobX0QGwnLAk&usg=AFQjCNFzcgUrhWMQAWsicicD8LrnqwwuwA&sig2=7LzxexoJU0CGNsP_ROf2vw
[code 41]: http://www.rubinsteyn.com/comp_photo/texture/
[Image quilting]: http://www.eecs.berkeley.edu/Research/Projects/CS/vision/papers/efros-siggraph01.pdf
[code 42]: http://www.cs.princeton.edu/~cdecoro/imagequilting/
[code2 1]: http://people.csail.mit.edu/thouis/efros-freeman/
[Synthesizing Natural Textures]: http://www.cs.utah.edu/~michael/ts/ts.pdf
[code 43]: http://www.cs.utah.edu/~michael/tscode
[Texture Optimization for Example-based Synthesis]: http://www.cc.gatech.edu/cpl/projects/textureoptimization/TO-final.pdf
[code 44]: http://sites.google.com/site/jiahexi2/
[Parallel controllable texture synthesis]: http://research.microsoft.com/en-us/um/people/hoppe/proj/paratexsyn/
[code 45]: http://www-sop.inria.fr/members/Sylvain.Lefebvre/wiki/Main/TSynEx?action=downloadman&upname=TSynEx.zip
[Graphcut Textures_ Image and Video Synthesis Using Graph Cuts]: http://www.cc.gatech.edu/cpl/projects/graphcuttextures/
[code 46]: http://www.131002.net/data/code/kuva/kuva-0.1.tar.gz
[Random Phase Textures_ Theory and Synthesis]: http://mw.cmla.ens-cachan.fr/~galerne/galerne_gousseau_morel_random_phase_textures_final_preprint.pdf
[code 47]: http://www.ipol.im/pub/algo/ggm_random_phase_texture_synthesis/
[Higher Order SVD Analysis for Dynamic Texture Synthesis]: http://lcav.epfl.ch/reproducible_research/CostantiniIP07_1
[Symmetry-Guided Texture Synthesis and Manipulation]: http://www.cs.princeton.edu/~vk/SymmetryTexture/
[Exemplar-based image inpainting]: http://www.cs.ucl.ac.uk/staff/s.prince/Reading/Inpainting.pdf
[code 48]: http://www.cc.gatech.edu/~sooraj/inpainting/inpainting.zip
[Image recovery via adaptive sparse representation]: http://eeweb.poly.edu/~onur/publish/guleryuz_recovery_part1.pdf
[code 49]: http://eeweb.poly.edu/~onur/source.html#recover_code
[Least-Square based sequential error concealment]: http://www.csee.wvu.edu/~xinl/papers/CSVT2002.pdf
[Patch-based nonlocal error concealment]: http://www.csee.wvu.edu/~xinl/code/vem_recovery.zip
[Image recovery via hybrid sparse representation]: http://www.csee.wvu.edu/~xinl/demo/inpainting.html
[Higher Order SVD Analysis for Dynamic Texture Synthesis 1]: http://lcavwww.epfl.ch/reproducible_research/CostantiniIP07/index.html
[TV-based image inpainting]: http://www.ima.umn.edu/preprints/scanned-preprint/preprints5/1743.pdf
[code 50]: http://homepage.univie.ac.at/carola.schoenlieb/Research_files/tv_dode_numerics.htm
[code2 2]: http://www2.imm.dtu.dk/~pch/mxTV/
[Robust Locally Linear Analysis with Applications to Image Denoising and Blind Inpainting]: http://www.ima.umn.edu/preprints/sep2011/2379.pdf
[code 51]: http://math.umn.edu/~wangx857/kals.htm
[Non-Parametric Bayesian dictionary learning for sparse image representations]: http://books.nips.cc/papers/files/nips22/NIPS2009_0190.pdf
[code 52]: http://people.ee.duke.edu/~mz1/Softwares/BPFA_Denoising_Inpainting_codes_Inference_10292009.zip
[Hierarchical super-resolustion-based inpainting]: http://people.irisa.fr/Olivier.Le_Meur/publi/2013_TIP/index.html
[Perona-Malik nonlinear diffusion]: http://authors.library.caltech.edu/6498/01/PERieeetpami90.pdf
[code 53]: http://visl.technion.ac.il/~gilboa/PDE-based_image_filtering.html
[code2 3]: http://www.csee.wvu.edu/~xinl/code/pm2.m
[Total variation based image denoising]: http://www.math.ucla.edu/~lvese/285j.1.05s/ROF.pdf
[code2 4]: http://www.csee.wvu.edu/~xinl/code/vese_tv.rar
[Curvature-Driven Diffusion based image inpainting]: http://www.csee.wvu.edu/~xinl/courses/ee565/papers/Chan_Shen.pdf
[code 54]: http://www.csee.wvu.edu/~xinl/courses/ee565/demos/cdd_inpainting.rar
[Shock filter for image enhancement]: http://www.math.ucla.edu/~gilboa/pub/shock02.pdf
[Weickert_s anisotropic diffusion]: http://www.csee.wvu.edu/~xinl/library/papers/infor/imaging/weickert_IJCV1999.pdf
[code 55]: http://www.csee.wvu.edu/~xinl/code/weickert.m
[Mean curvature diffusion _MCD]: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.141.1251&rep=rep1&type=pdf
[code 56]: http://www.csee.wvu.edu/~xinl/code/AMSS.m
[A variational method for image recovery]: http://www.math.ucla.edu/~lvese/PAPERS/29230.pdf
[code 57]: http://www.csee.wvu.edu/~xinl/code/pm.zip
[Speckle reducing anisotropic diffusion]: http://viva.ee.virginia.edu/publications/j_srad.pdf
[code 58]: http://viva.ee.virginia.edu/research_ultrasounddenoising.html
[Parametric Maximum Flow Algorithmsfor Fast Total Variation Minimization]: http://www.caam.rice.edu/~wy1/paperfiles/Rice%20CAAM%20TR07-09.PDF
[code 59]: http://www.caam.rice.edu/~wy1/ParaMaxFlow/
[An Algorithm for Nonlocal TV Minimization]: http://www.cs.cityu.edu.hk/~xbresson/ucla/code.html#An%20Algorithm%20for%20Nonlocal%20TV%20Minimization
[Universal image quality index]: http://www.cns.nyu.edu/~zwang/files/papers/quality_2c.pdf
[code 60]: http://www.cns.nyu.edu/~zwang/files/research/quality_index/demo.html
[Structural SIMilarity _SSIM_ index]: http://www.cns.nyu.edu/pub/eero/wang03-reprint.pdf
[code 61]: http://www.ece.uwaterloo.ca/~z70wang/research/ssim/
[Degradation model]: http://www.hpl.hp.com/personal/Niranjan_Damera-Venkata/files/iq.pdf
[code 62]: http://users.ece.utexas.edu/~bevans/papers/2000/imageQuality/index.html
[FSIM_ A Feature Similarity Index for Image Quality Assessment]: http://www4.comp.polyu.edu.hk/~cslzhang/IQA/TIP_IQA_FSIM.pdf
[code 63]: http://www4.comp.polyu.edu.hk/~cslzhang/IQA/FSIM/FSIM.htm
[A No-Reference Objective Image Sharpness Metric Based on the Notion of Just Noticeable Blur]: http://enpub.fulton.asu.edu/ivu/Papers/2009/FerzliKaram_JNB_TIP_Apr09.pdf
[code 64]: http://ivulab.asu.edu/software/cpbd-better-than-jnbm
[An Improved No-Reference Sharpness Metric Based on the Probability of Blur Detection]: http://enpub.fulton.asu.edu/ivu/Software/CPBDM/vpqm_p27_cpbd.pdf
[code 65]: http://ivulab.asu.edu/software/jnbm
[Gradient Magnitude Similarity Deviation_ A Highly Efficient Perceptual Image Quality Index]: http://www4.comp.polyu.edu.hk/~cslzhang/IQA/GMSD/GMSD.htm
[Fingerprint enhancement and matching]: http://www.cubs.buffalo.edu/code.shtml
[Daugman_s iris recognition algorithm implementation]: http://www.csse.uwa.edu.au/~pk/studentprojects/libor/sourcecode.html
[Photorealistic Models for Pupil Light Reflex and Iridal Pattern Deformation]: http://vitorpamplona.com/wiki/Photorealistic%20Models%20for%20Pupil%20Light%20Reflex%20and%20Iridal%20Pattern%20Deformation
[Gabor Feature based Sparse Representation for Face Recognition]: http://www4.comp.polyu.edu.hk/~cslzhang/paper/conf/ECCV10_GSRC.pdf
[code 66]: http://www4.comp.polyu.edu.hk/~cslzhang/code/ECCV10/GSRC_ECCV.rar
[Robust Sparse Coding for Face Recognition]: http://www4.comp.polyu.edu.hk/~cslzhang/paper/conf/RSC_CVPR11.pdf
[code 67]: http://www4.comp.polyu.edu.hk/~cslzhang/code/RSC.zip
[Jialong He_s Speaker Recognition _Identification_ Tool]: http://www.speech.cs.cmu.edu/comp.speech/Section6/Verification/jialong.html
[Unsupervised Salience Learning for Person Re-identification]: http://www.ee.cuhk.edu.hk/~rzhao/
[Pose-free Facial Landmark Fitting via Optimized Part Mixtures and Deformable Shape Model]: http://www.research.rutgers.edu/~xiangyu/face_align.html
[Sparse Representation or Collaborative Representation_ Which Helps Face Recognition]: http://www4.comp.polyu.edu.hk/~cslzhang/paper/conf/iccv11/CRC_RLS_final.pdf
[code 68]: http://www4.comp.polyu.edu.hk/~cslzhang/code/CRC.zip
[Distributed Gradient-Domain Processing of Planar and Spherical Images]: http://www.cs.jhu.edu/~misha/Code/DMG/
[GradientShop_A Gradient-Domain Optimization Framework for Image and Video Filtering]: http://grail.cs.washington.edu/projects/gradientshop/
[Local Laplacian Filters_ Edge-aware Image Processing with a Laplacian Pyramid]: http://people.csail.mit.edu/sparis/publi/2011/siggraph/
[Domain Transform for Edge-Aware Image and Video Processing]: http://inf.ufrgs.br/~eslgastal/DomainTransform/
[Image Smoothing via L 0 Gradient Minimization]: http://www.cse.cuhk.edu.hk/~leojia/projects/L0smoothing/index.html
[Guided image filtering]: http://research.microsoft.com/en-us/um/people/kahe/eccv10/
[MPEG-1_2 reference software]: http://www.mpeg.org/MPEG/video/mssg-free-mpeg-software.html
[H.263_H.263_ reference software]: http://www.h263l.com/
[MPEG4 reference software _MoMuSys version]: http://www.csee.wvu.edu/~xinl/code/mpeg4.rar
[H.264_AVC reference software]: http://iphome.hhi.de/suehring/tml/
[3D SPIHT video coding]: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.32.3826&rep=rep1&type=pdf
[code 69]: http://www.mathworks.com/matlabcentral/fileexchange/11746
[DISCOVER video codec for DVC]: http://www.discoverdvc.org/
[HEVC _H.265_ Refence model in development]: http://www.h265.net/
[Wavelet-based GDD and KL-distance]: http://www.ifp.illinois.edu/~minhdo/publications/WaveStat.pdf
[code 70]: http://www.ifp.illinois.edu/~minhdo/software/wave_tex.tar.gz
[Local binary pattern _LBP_ based]: http://www.cse.oulu.fi/MVG/Downloads/LBPMatlab
[Filter bank based at Visual Geometry Group]: http://www.robots.ox.ac.uk/~vgg/research/texclass/index.html
[A Completed Modeling of Local Binary Pattern Operator for Texture Classification]: http://www4.comp.polyu.edu.hk/~cslzhang/paper/CLBP.pdf
[code 71]: http://www4.comp.polyu.edu.hk/~cslzhang/code/CLBP.rar
[Shape Classification Using the Inner-Distance]: http://www.dabi.temple.edu/~hbling/publication/id-pami-8.pdf
[code 72]: http://www.dabi.temple.edu/~hbling/code/idsc_distribute.zip
[Deformed Lattice Detector]: http://vision.cse.psu.edu/~yanxi/lattice.pdf
[code 73]: http://web.me.com/mipark/MPark2/Code%26Data/Entries/2010/4/18_Deformed_Lattice_Detector_%28PAMI_2009%29.html
[Ensemble Projection for Semi-supervised Image Classification]: http://www.vision.ee.ethz.ch/~daid/EnPro/
[Adaboost method]: http://www.vision.caltech.edu/html-files/EE148-2003/lecture/ViolaPres.pdf
[code 74]: http://www.vision.caltech.edu/html-files/EE148-2003/lecture/ABdemo.zip
[Biologically inspired object recognition]: http://cbcl.mit.edu/software-datasets/standardmodel/cvpr05.pdf
[code 75]: http://cbcl.mit.edu/software-datasets/standardmodel/index.html
[Hierarchical Models of Object Recognition in Cortex]: http://riesenhuberlab.neuro.georgetown.edu/publications/nn99.pdf
[code 76]: http://riesenhuberlab.neuro.georgetown.edu/hmax.html
[Scalable recognition with a vocabulary tree]: http://www.csee.wvu.edu/~xinl/www.vis.uky.edu/~stewe/publications/nister_stewenius_cvpr2006.pdf
[Code 12]: http://vision.ucla.edu/~vedaldi/code/bag/bag.html
[Shock graphs]: http://www.cs.toronto.edu/~dmac/papers/thesis.pdf
[code 77]: http://www.cs.toronto.edu/~dmac/ShapeMatcher/
[Shape contexts]: http://www.eecs.berkeley.edu/Research/Projects/CS/vision/shape/belongie-pami02.pdf
[code 78]: http://www.eecs.berkeley.edu/Research/Projects/CS/vision/shape/sc_digits.html
[Robust nonrigid point matching]: http://noodle.med.yale.edu/~chui/tps-rpm.html
[Code 13]: http://noodle.med.yale.edu/~chui/rpm/TPS-RPM.zip
[Histograms of Oriented Gradients _HOG]: http://lear.inrialpes.fr/pubs/2005/DT05/
[code 79]: http://pascal.inrialpes.fr/soft/olt/
[Pyramid histogram of oriented gradients _PHOG]: http://www.robots.ox.ac.uk/~vgg/research/caltech/phog.html
[Beyond Bag of features]: http://www.cs.unc.edu/~lazebnik/publications/cvpr06b.pdf
[Code 14]: http://www.cs.unc.edu/~lazebnik/research/spatial_pyramid_code.zip
[SuperParsing]: http://www.cs.unc.edu/~lazebnik/publications/eccv10-jtighe.pdf
[Code 15]: http://www.cs.unc.edu/~jtighe/Papers/ECCV10/eccv10-jtighe-code.zip
[Aggregating Gradient Distributions into Intensity Orders]: http://vision.ia.ac.cn/Students/bfan/mrogh.htm
[Matching Local Self-Similarities across Images and Videos]: http://www.wisdom.weizmann.ac.il/~vision/SelfSimilarities.html
[code 80]: http://www.robots.ox.ac.uk/~vgg/software/SelfSimilarity/
[Deformed lattice detection in real-world images]: http://vision.cse.psu.edu/research/deformedLattice/Deformed_Lattice_Detection.html
[Feature-Centric Efficient Subwindow Search]: http://people.ee.ethz.ch/~lehmanal/iccv09/lehmann09iccv.pdf
[code 81]: http://people.ee.ethz.ch/~lehmanal/iccv09
[Poselets_ Body Part Detectors Trained Using 3D Human Pose Annotations]: http://www.eecs.berkeley.edu/Research/Projects/CS/vision/human/poselets_iccv09.pdf
[code 82]: http://www.eecs.berkeley.edu/~lbourdev/poselets/
[Ensemble of Exemplar-SVMs for Object Detection and Beyond]: http://www.cs.cmu.edu/~tmalisie/projects/iccv11/
[Discriminative Learning of Relaxed Hierarchy for Large-scale Visual Recognition]: http://www.stanford.edu/~tianshig/papers/learningRelaxedHierarchy-ICCV11.pdf
[code 83]: http://www.stanford.edu/~tianshig/software/learning_relaxed_hierarchy_v0.1.tgz
[Multiple Kernels for Object Detection]: http://www.robots.ox.ac.uk/~vgg/software/MKL/
[Towards Total Scene Understanding_ Classification_ Annotation and Segmentation in an Automatic Framework]: http://vision.stanford.edu/projects/totalscene/index.html
[Object Bank_ A High-Level Image Representation for Scene Classification and Semantic Feature Sparsification]: http://vision.stanford.edu/projects/objectbank/index.html
[Informative Feature Selection for Object Recognition via Sparse PCA]: http://www.dtic.mil/cgi-bin/GetTRDoc?AD=ADA543168&Location=U2&doc=GetTRDoc.pdf
[code 84]: http://www.eecs.berkeley.edu/~EECS~yang/public_html/software/SPCA/SPCA_ALM.zip
[Linear Spatial Pyramid Matching using Sparse Coding for Image Classification]: http://www.ifp.illinois.edu/~jyang29/papers/CVPR09-ScSPM.pdf
[code 85]: http://www.ifp.illinois.edu/~jyang29/ScSPM.htm
[Locality-constrained Linear Coding for Image Classification]: http://www.ifp.illinois.edu/~jyang29/papers/CVPR10-LLC.pdf
[code 86]: http://www.ifp.illinois.edu/~jyang29/LLC.htm
[MIT LabelMe Open Annotation tool]: http://labelme.csail.mit.edu/
[Stream-based Joint Exploration-Exploitation Active Learning]: http://www.eecs.qmul.ac.uk/~ccloy/files/cvpr_2012.pdf
[code 87]: http://www.eecs.qmul.ac.uk/~ccloy/files/streamActLearning.zip
[BoF meets HOG_ Feature Extraction based on Histograms of Oriented p.d.f Gradients for Image Classification]: http://staff.aist.go.jp/takumi.kobayashi/publication/2013/CVPR2013.pdf
[code 88]: http://staff.aist.go.jp/takumi.kobayashi/code/hopdfg.zip
[Discriminatively trained deformable part models]: http://www.cs.berkeley.edu/~rbg/latent/
[Joint Deep Learning for Pedestrian Detection]: http://www.ee.cuhk.edu.hk/~wlouyang/projects/ouyangWiccv13Joint/index.html
[Affine SIFT _ASIFT_ with online demo]: http://www.cmap.polytechnique.fr/~yu/research/ASIFT/demo.html
[SIFT Flow_ Dense Correspondence across scenes]: http://people.csail.mit.edu/celiu/SIFTflow/
[Lukas-Kanade algorithm]: http://www.ri.cmu.edu/pub_files/pub3/baker_simon_2004_1/baker_simon_2004_1.pdf
[code 89]: http://www.ri.cmu.edu/projects/project_515.html
[code2 5]: http://www.cs.ucf.edu/~vision/Code/Optical_Flow/Lucas%20Kanade.zip
[SIFT feature correspondence]: http://www.cs.ubc.ca/~lowe/papers/ijcv04.pdf
[code 90]: http://www.cs.ubc.ca/spider/lowe/keypoints/siftDemoV4.zip
[code2 6]: http://vision.ucla.edu/~vedaldi/code/sift/sift.html
[code3]: http://vision.ucla.edu/~vedaldi/code/siftpp/siftpp.html
[Local binary pattern _LBP]: http://www.ee.oulu.fi/research/imag/texture/publications/show_pdf.php?ID=94
[code 91]: http://www.ee.oulu.fi/mvg/page/lbp_matlab
[Speed up robust features _SURF]: http://www.vision.ee.ethz.ch/~surf/
[Compact And Real-time Descriptors _CARD]: http://cvlab.jp/
[Maximally stable extremal regions _MSER]: http://vision.ucla.edu/~vedaldi/code/mser/assets/mser/mser.pdf
[code 92]: http://vision.ucla.edu/~vedaldi/code/mser/mser.html
[Graph-cut based optical flow estimation]: http://www.cs.umd.edu/~ogale/papers/ogaleIJCVroadmap.pdf
[code 93]: http://www.cs.umd.edu/~ogale/download/code.html
[Pyramid-based hierarchical motion estimation]: http://www.soe.ucsc.edu/classes/cmpe290v/Spring05/ECCV92.pdf
[Code 16]: http://www.csee.wvu.edu/~xinl/code/GIR.rar
[Affine Motion Estimation for Medical Image Registration]: http://www.cs.dartmouth.edu/farid/research/registration.html
[Code 17]: http://www.cs.dartmouth.edu/farid/research/qr_0.2.tar.gz
[A frequency-domain approach toward image registration]: http://lcavwww.epfl.ch/reproducible_research/VandewalleSV05/index.html
[Code 18]: http://lcavwww.epfl.ch/reproducible_research/VandewalleSV05/VandewalleSV05_matlab.tar.gz
[Blended Intrinsic Maps]: http://www.cs.princeton.edu/~vk/CorrsBlended/
[An Efficient Earth Mover_s Distance Algorithm for Robust Histogram Comparison]: http://www.dabi.temple.edu/~hbling/publication/emd_pami_O.pdf
[code 94]: http://www.dabi.temple.edu/~hbling/code/EmdL1_v3.zip
[Diffusion Distance for Histogram Comparison]: http://www.dabi.temple.edu/~hbling/publication/Ling&Okada06cvpr.pdf
[code 95]: http://www.dabi.temple.edu/~hbling/code/DD_v1.zip
[Coherency Sensitive Hashing]: http://www.eng.tau.ac.il/~simonk/CSH/index.html
[Fast Template Matching in Non-Linear Tone-Mapped Images]: http://www.faculty.idc.ac.il/toky/Publications/Conference/MTM_ICCV2011.pdf
[code 96]: http://www.faculty.idc.ac.il/toky/Software/software.htm#MTM
[BRIEF_ Binary Robust Independent Elementary Features]: http://cvlab.epfl.ch/research/detect/brief/
[Autostitch developed for Apple iPhone]: http://cs.bath.ac.uk/brown/autostitch/autostitch.html
[Image Matching using Local Symmetry Features]: http://www.cs.cornell.edu/projects/symfeat/
[Secrets of optical flow estimation and their principles]: http://www.cs.brown.edu/~dqsun/pubs/cvpr_2010_flow.pdf
[Matlab code]: http://www.cs.brown.edu/~dqsun/research/software.html
[Segmentation Based Variational Model for Accurate Optical Flow Estimation]: http://www.cse.cuhk.edu.hk/~leojia/all_final_papers/optical_flow_eccv08.pdf
[Code 19]: http://www.cse.cuhk.edu.hk/~leojia/projects/flow/segof.zip
[Total variation regularization of local-global optical flow]: http://www.cv.utcluj.ro/optical-flow.html
[Motion Detail Preserving Optical Flow Estimation]: http://www.cse.cuhk.edu.hk/~leojia/projects/flow/
[Large displacement optical flow_ descriptor matching in variational motion estimation]: http://lmb.informatik.uni-freiburg.de/people/brox/pub/brox_tpami10_ldof.pdf
[code 97]: http://lmb.informatik.uni-freiburg.de/resources/binaries/pami2010Matlab.zip
[FAsT-Match_ Fast Affine Template Matching]: http://www.eng.tau.ac.il/~simonk/FM/index.html
[Human Activity Detection from RGBD Images]: http://pr.cs.cornell.edu/humanactivities/
[Action MACH_ a spatio-temporal maximum average correlation height filter for action recognition]: http://www.di.ens.fr/~rodrigue/action_mach_project.html
[Evaluation of local spatio-temporal features for action recognition]: http://www.irisa.fr/vista/Equipe/People/Laptev/download.html
[2D Action Recognition Serves 3D Human Pose Estimation]: http://www.vision.ee.ethz.ch/~gallju/projects/ARforPose/ARforPose.html
[Hierarchical Mean Shift_ Space-Time Segmentation and Action Recognition]: http://www.cfar.umd.edu/~daniel/Site_2/Code.html
[Human Activity Recognition with Metric Learning]: http://vision.cs.uiuc.edu/projects/activity/
[A Hough Transform-Based Voting Framework for Action Recognition]: http://www.vision.ee.ethz.ch/~gallju/projects/houghAR/houghAR.html
[Learning hierarchical spatio-temporal features for action recognition with independent subspace analysis]: http://ai.stanford.edu/~quocle/
[Recognizing Scene Viewpoint using Panoramic Place Representation]: http://sun360.mit.edu/
[Multimodal Decomposable Models for Human Pose Estimation]: http://vision.grasp.upenn.edu/cgi-bin/index.php?n=VideoLearning.MODEC
[Object detection and tracking in motion sequence]: http://www.cs.berkeley.edu/~flw/tracker/
[Incremental Learning for Robust Visual Tracking]: http://vision.ai.uiuc.edu/mhyang/papers/ijcv08a.pdf
[code 98]: http://www.cs.toronto.edu/~dross/ivt/
[Online Visual Tracking with Histograms and Articulating Blocks]: http://faculty.ucmerced.edu/mhyang/papers/cviu10a.pdf
[code 99]: http://www.cise.ufl.edu/~smshahed/tracking.htm
[Kanade-Lucas-Tomasi Feature Tracker]: http://www.ces.clemson.edu/~stb/klt/
[SIFT keypoint detector]: http://www.cs.ubc.ca/~lowe/keypoints/
[code2 7]: http://www.vlfeat.org/~vedaldi/code/sift.html
[code3 1]: http://people.csail.mit.edu/celiu/
[Speeded-Up Robust Features _SURF]: http://people.ee.ethz.ch/~surf/
[HOGgles_ Visualizing Object Detection Features]: http://web.mit.edu/vondrick/ihog/
[Visual tracking using appearance model and particle filters]: http://www.cfar.umd.edu/~rany/docs/CVTracker-Kevin-Aswin-Yang-UMCP.zip
[Video Object Segmentation by Tracking Regions]: http://web.engr.oregonstate.edu/~sinisa/research/publications/iccv09_video.pdf
[code 100]: http://web.engr.oregonstate.edu/~sinisa/code/code.html
[Visual tracking decomposition]: http://cv.snu.ac.kr/research/~vtd/
[Robust Visual Tracking using L1 Minimization]: http://www.dabi.temple.edu/~hbling/publication/09-tracking-iccv.pdf
[code 101]: http://www.dabi.temple.edu/~hbling/code_data.htm#L1_Tracker
[Visual Tracking via Adaptive Structural Local Sparse Appearance Model]: http://ice.dlut.edu.cn/lu/Project/cvpr12_jia_project/cvpr12_jia_project.htm
[Robust Object Tracking via Sparsity-based Collaborative Model]: http://ice.dlut.edu.cn/lu/Project/cvpr12_scm/cvpr12_scm.htm
[Discrete-Continuous Optimization for Multi-Target Tracking]: http://www.gris.informatik.tu-darmstadt.de/~aandriye/dctracking.html
[Multi-Target Tracking by Continuous Energy Minimization]: http://www.gris.informatik.tu-darmstadt.de/~aandriye/contracking.html
[Distribution Fields for Tracking]: http://vis-www.cs.umass.edu/~lsevilla/castanza/trackingDF.zip
[Least Soft-threshold Squares Tracking]: http://ice.dlut.edu.cn/lu/Paper/CVPR2013/LSST%5BPaper%5D.pdf
[code 102]: http://ice.dlut.edu.cn/lu/Project/CVPR13%5BDong%5D/LSST-MatlabCode-V1.zip
[Online Robust Non-negative Dictionary Learning for Visual Tracking]: http://winsty.net/onndl.html
[The Way They Move_ Tracking Targets with Similar Appearance]: http://cdicle.bitbucket.org/
[Real-time compressive tracking]: http://www4.comp.polyu.edu.hk/~cslzhang/CT/CT.htm
[Learning to Detect A Salient Object]: http://research.microsoft.com/en-us/um/people/jiansun/SalientObject/salient_object.htm
[code _third-party implementation]: http://www.cs.sunysb.edu/~vordonezroma/code.html
[Dynamic visual attention_ searching for coding length increments]: http://www.klab.caltech.edu/~xhou/papers/nips08.pdf
[code 103]: http://www.klab.caltech.edu/~xhou/papers/nips08matlab.zip
[What is an object]: http://groups.inf.ed.ac.uk/calvin/objectness/
[Saliency Detection_ A Spectral Residual Approach]: http://www.klab.caltech.edu/~xhou/
[Image Classification_ An Integration of Randomization and Discrimination in A Dense Feature Representation]: http://vision.stanford.edu/discrim_rf/
[Saliency filters_ contrast based filtering for salient region detection]: http://www.stanford.edu/~philkr/papers/saliency_filters_cvpr_2012.pdf
[code 104]: http://www.stanford.edu/~philkr/code/saliencyfilters.zip
[Frequency-tuned salient region detection]: http://ivrgwww.epfl.ch/supplementary_material/RK_CVPR09/index.html
[Saliency_ attention_ and visual search_ An information theoretic approach]: http://www-sop.inria.fr/members/Neil.Bruce/
[Saliency detection using maximum symmetric surround]: http://ivrg.epfl.ch/page-74626-en.html
[Segmenting salient objects from images and videos]: http://www.cse.oulu.fi/MVG/Downloads/saliency
[Static and space-time visual saliency detection by self-resemblance]: http://users.soe.ucsc.edu/~rokaf/SaliencyDetection.html
[SUN_ A bayesian framework for saliency using natural statistics]: http://cseweb.ucsd.edu/~l6zhang/
[Saliency estimation using a non-parametric low-level vision model]: http://www.cat.uab.cat/Research/Attention/
[model of saliency-based visual attention for rapid scene analysis]: http://www.saliencytoolbox.net/
[Graph-based visual saliency]: http://www.klab.caltech.edu/~harel/share/gbvs.php
[Context-aware saliency detection]: http://webee.technion.ac.il/labs/cgm/Computer-Graphics-Multimedia/Software/Saliency/Saliency.html
[Salient region detection and segmentation]: http://ivrg.epfl.ch/~achanta/SalientRegionDetection/SalientRegionDetection.html
[Automatic salient object segmentation based on context and shape prior]: https://sites.google.com/site/jianghz88/
[Saliency Detection via Graph-based Manifold Ranking]: http://ice.dlut.edu.cn/lu/Project/CVPR13%5Byangchuan%5D/cvprsaliency.htm
[Kernel Null Space Methods for Novelty Detection]: http://www.inf-cv.uni-jena.de/Forschung/paperProjects/Kernel%20Null%20Space%20Methods%20for%20Novelty%20Detection.html
[Efficient Salient Region Detection with Soft Image Abstraction]: http://mmcheng.net/effisalobj/
[A Unified Approach to Salient Object Detection via Low Rank Matrix Recovery]: http://users.eecs.northwestern.edu/~xsh835/LowRankSaliency.html
[Efficient Computation of Robust Low-Rank Matrix Approximations in the Presence of Missing Data using the L1 Norm]: http://cs.adelaide.edu.au/~anders/papers/eriksson-cvpr-10.pdf
[code 105]: http://cs.adelaide.edu.au/~anders/code/cvpr2010.html
[Low-Rank Matrix Recovery and Completion via Convex Optimization]: http://perception.csl.uiuc.edu/matrix-rank/sample_code.html
[Predictive low-rank decomposition for kernel methods]: http://www.di.ens.fr/~fbach/csi/index.html
[Improved Nystr_m Low-rank Approximation for]: http://www.cse.ust.hk/~twinsen/manifold.htm
[RASL_ Robust Batch Alignment of Images by Sparse and Low-Rank Decomposition]: http://perception.csl.illinois.edu/matrix-rank/rasl.html
[TILT_ Transform Invariant Low-rank Textures]: http://perception.csl.illinois.edu/matrix-rank/tilt.html
[Bayesian Robust Matrix Factorization for Image and Video Processing]: http://winsty.net/brmf.html
[DeepLearnToolbox]: https://github.com/rasmusbergpalm/DeepLearnToolbox
[Deep Belief Networks]: http://www.cs.toronto.edu/~hinton/MatlabForSciencePaper.html
[Convolutional deep belief network]: http://ai.stanford.edu/~hllee/softwares/icml09.htm
[Learning Deep Boltzmann Machines]: http://web.mit.edu/~rsalakhu/www/DBM.html
[Conditional RBMs_DBNs]: http://www.cs.nyu.edu/~gwtaylor/publications/nips2006mhmublv/code.html
[Neocognitron]: http://visiome.neuroinf.jp/modules/xoonips/detail.php?item_id=6434
[Convolutional_Deconvolutional networks]: http://www.matthewzeiler.com/software/DeconvNetToolbox/Documentation/main.html
[Invariant scattering convolution network]: http://www.cmap.polytechnique.fr/scattering/index.php?sectionId=software
[Marginalized Stacked Denoising Autoencoders]: http://www.cse.wustl.edu/~mchen/
[A Global Geometric Framework for Nonlinear Dimensionality Reduction]: http://www.eecs.umich.edu/~pettie/theoryseminar/papers/yedu1.pdf
[code 106]: http://isomap.stanford.edu/
[Nonlinear Dimensionality Reduction by Locally Linear Embedding]: http://lsa.colorado.edu/LexicalSemantics/RoweisSaul.pdf
[code 107]: http://www.cs.nyu.edu/~roweis/lle/code.html
[Laplacian Eigenmaps]: http://cseweb.ucsd.edu/~saul/teaching/cse291s07/laplacian.pdf
[code 108]: http://www.cse.ohio-state.edu/~mbelkin/algorithms/Laplacian.tar
[Diffusion maps]: http://www.ece.duke.edu/~lcarin/Shihao5.12.06.pdf
[code 109]: http://www.stat.cmu.edu/~annlee/software.htm
[Manifold learning toolbox_demo]: http://www.math.ucla.edu/~wittman/mani/
[Learning distance metric]: http://www.cs.cmu.edu/~liuy/distlearn.htm
[Diffusion processes for retrieval]: http://vh.icg.tugraz.at/index.php?content=topics/diffusion.php
[Emergence of simple-cell receptive field properties by learning a sparse code for natural images]: http://redwood.psych.cornell.edu/papers/olshausen_field_nature_1996.pdf
[code 110]: http://redwood.berkeley.edu/bruno/sparsenet/
[A Wavelet Tour of Signal Processing]: http://cs.nyu.edu/cs/faculty/mallat/book.html
[Steerable Pyramid]: http://www.cns.nyu.edu/~eero/steerpyr/
[matlabPyrtools.tar.gz]: http://www.cns.nyu.edu/pub/eero/matlabPyrTools.tar.gz
[Rice Wavelet Toolbox]: http://www.dsp.ece.rice.edu/software/rwt.shtml
[rwt.zip]: http://www.dsp.ece.rice.edu/software/RWT/rwt.zip
[Contourlet and Ridgelet Toolbox]: http://www.ifp.uiuc.edu/~minhdo/publications/contourlet_txform.pdf
[download]: http://www.ifp.uiuc.edu/~minhdo/software/
[Beamlet and Curvelet Toolbox]: http://www-stat.stanford.edu/~beamlab/AboutBeamLab2.pdf
[Beamlab]: http://www-stat.stanford.edu/~beamlab/
[Complex wavelet Toolbox]: http://taco.poly.edu/selesi/pubs/CWT_Tutorial.pdf
[download 1]: http://taco.poly.edu/selesi/software/index.html
[Wavelet_bandelet Toolbox at Matlab Central]: http://www.mathworks.com/matlabcentral/fileexchange/loadCategory.do?objectId=68&objectType=Category
[MCALab]: http://www.greyc.ensicaen.fr/~jfadili/demos/WaveRestore/downloads/mcalab/Download.html
[Differentiation of discrete multidimensional signals]: http://www.cns.nyu.edu/pub/lcv/farid03-reprint.pdf
[code 111]: http://www.cs.dartmouth.edu/farid/research/derivative.html
[The finite ridgelet transform for image representation]: http://www.ifp.illinois.edu/~minhdo/publications/FRIT_trans.pdf
[code 112]: http://www.ifp.illinois.edu/~minhdo/software/frit_toolbox.tar.gz
[Framing pyramids]: http://www.ifp.illinois.edu/~minhdo/publications/pyramid.pdf
[code 113]: http://www.ifp.illinois.edu/~minhdo/software/lptoolbox.tar.gz
[Contourlet transform_ an efficient directional multiresolution image representation]: http://www.ifp.illinois.edu/~minhdo/publications/contourlet_txform.pdf
[code 114]: http://www.ifp.illinois.edu/~minhdo/software/contourlet_toolbox.tar
[Directional multiscale modeling of images using the contourlet transform]: http://www.ifp.illinois.edu/~minhdo/publications/contourlet_modeling.pdf
[code 115]: http://www.mathworks.com/matlabcentral/fileexchange/11823
[The nonsubsampled contourlet transform_ Theory_ design_ and applications]: http://www.ifp.illinois.edu/~minhdo/publications/nsct.pdf
[code 116]: http://www.mathworks.com/matlabcentral/fileexchange/10049
[Multidimensional directional filter banks and surfacelets]: http://www.ifp.illinois.edu/~minhdo/publications/ndfb_surf.pdf
[code 117]: http://www.mathworks.com/matlabcentral/fileexchange/14485
[l1-Magic]: http://www.l1-magic.org/
[SparseLab]: http://sparselab.stanford.edu/
[GPSR]: http://www.lx.it.pt/~mtf/GPSR/
[ell-1 LS_ Simple Matlab Solver for ell-1-Regularized Least Squares Problems]: http://www.stanford.edu/~boyd/l1_ls/
[sparsify]: http://www.see.ed.ac.uk/~tblumens/sparsify/sparsify.html
[MPTK_ Matching Pursuit Toolkit]: http://mptk.irisa.fr/
[Bayesian Compressive Sensing]: http://www.ece.duke.edu/~shji/BCS.html
[SPGL1_ A solver for large scale sparse reconstruction]: http://www.cs.ubc.ca/labs/scl/index.php/Main/Spgl1
[sparseMRI]: http://www.stanford.edu/~mlustig/SparseMRI.html
[FPC]: http://www.caam.rice.edu/~optimization/L1/fpc/
[CVX]: http://cvxr.com/cvx/
[Chaining Pursuit]: http://www.acm.caltech.edu/~jtropp/code/chaining.tar.gz
[Regularized OMP]: http://www.math.ucdavis.edu/~dneedell/romp.m
[SPARCO_ A toolbox for testing sparse reconstruction algorithms]: http://www.cs.ubc.ca/labs/scl/sparco/
[TwIST]: http://www.lx.it.pt/~bioucas/TwIST/TwIST.htm
[Compressed Sensing Codes]: http://igorcarron.googlepages.com/cscodes
[Fast CS using SRM]: http://thanglong.ece.jhu.edu/CS/
[FPC_AS]: http://www.caam.rice.edu/~optimization/L1/FPC_AS/
[Fast Bayesian Matching Pursuit _FBMP]: http://www.ece.osu.edu/~zinielj/fbmp/download.html
[SL0]: http://ee.sharif.edu/~SLzero/
[Sparse recovery using sparse matrices]: http://groups.csail.mit.edu/toc/sparse/wiki/index.php?title=Sparse_Recovery_Experiments
[PPPA]: http://www.math.univ-paris13.fr/~malgouy/software/index.html
[Compressive sensing via belief propagation]: http://www.dsp.ece.rice.edu/~drorb/CSBP/
[SpaRSA]: http://www.lx.it.pt/~mtf/SpaRSA/
[KF-CS_ Kalman Filtered CS _and other sequential CS algorithms]: http://www.ece.iastate.edu/~namrata/research/SequentialCS.html
[Fast Bayesian CS with Laplace Priors]: http://ivpl.eecs.northwestern.edu/system/files/FastLaplace.zip
[YALL1]: http://www.caam.rice.edu/~optimization/L1/YALL1/
[TVAL3]: http://www.caam.rice.edu/~optimization/L1/TVAL3/
[RecPF]: http://www.caam.rice.edu/~optimization/L1/RecPF/
[Basis Pursuit DeQuantization _BPDQ]: http://wiki.epfl.ch/bpdq
[k-t FOCUSS]: http://bisp.kaist.ac.kr/ktFOCUSS.htm
[Sub-Nyquist sampling_ The Modulated Wideband Converter]: http://www.technion.ac.il/~moshiko/software.html
[Threshold-ISD]: http://www.caam.rice.edu/~optimization/L1/ISD/
[A Sparse Learning Package]: http://www.public.asu.edu/~jye02/Software/SLEP/index.htm
[Model-based Compressive Sensing Toolbox]: http://dsp.rice.edu/software/model-based-compressive-sensing-toolbox
[Sparse Modeling Software]: http://www.di.ens.fr/willow/SPAMS/
[Spectral Compressive Sensing Toolbox]: http://dsp.rice.edu/scs
[CS-CHEST_ A MATLAB Toolbox for Compressive Channel Estimation]: http://www.nt.tuwien.ac.at/about-us/staff/georg-tauboeck/georg-tauboeck-simulation-software/
[Peformance benchmark of l1-optimization algorithms]: http://www.eecs.berkeley.edu/~yang/software/l1benchmark/
[BM3D-based compressed sensing]: http://www.cs.tut.fi/~comsens/
[Compressed sensing using belief propagation]: http://people.engr.ncsu.edu/dzbaron/software/CSBP
[Bayesian Compressive Sensing 1]: http://people.ee.duke.edu/~lcarin/BCS.html
[Latent Variable Graphical Model Selection via Convex Optimization]: http://ssg.mit.edu/~venkatc/cpw_lgm_preprint10.pdf
[code 118]: http://ssg.mit.edu/~venkatc/latent-variable-code.html
[HDR image rendering using a retinex-based adaptive filter]: http://rr.epfl.ch/12/
[Digital Camera Workflow for HDR Images Using a Model of Retinal Processing]: http://ivrgwww.epfl.ch/supplementary_material/DT_EI08/index.html
[HDR image rendering by iCAM06 model]: http://www.cis.rit.edu/research/mcsl2/icam06/
[Rafal Mantiuk_s research on HDR imaging]: http://pages.bangor.ac.uk/~eesa0c/software.html
[Binocular Tone Mapping]: http://www.cse.cuhk.edu.hk/~ttwong/papers/binovision/binovision.html
[High dynamic range imaging and tonemapping]: http://cybertron.cg.tu-berlin.de/eitz/hdr/
[Image reconstruction toolbox]: http://www.eecs.umich.edu/~fessler/code/index.html
[Level set based medical image segmentation]: http://www.engr.uconn.edu/~cmli/
[Gradient vector flow]: http://www.iacl.ece.jhu.edu/static/gvf/
[multiresolution celluar image classification]: http://murphylab.cbi.cmu.edu/data/
[multirate fluorescence microscopy image acquisition]: http://jelena.ece.cmu.edu/repository/rr/05_IP_MerrymanK/05_IP_MerrymanK.html
[Nonlocal MRI Upsampling]: http://personales.upv.es/jmanjon/reconstruction/upsampling.htm
[Joint image reconstruction and sensitivity estimation in SENSE]: https://pantherfile.uwm.edu/leiying/public/JSENSE.pdf
[code 119]: https://pantherfile.uwm.edu/leiying/www/index_files/JSENSE.zip
[Nonlinear GRAPPA_ a kernel approach to parallel MRI reconstruction]: https://pantherfile.uwm.edu/leiying/public/NonlinearGRAPPA.pdf
[code 120]: https://pantherfile.uwm.edu/leiying/www/index_files/NLGRAPPA.zip
[Graph cut based 2D Phase unwrapping]: http://www.lx.it.pt/~bioucas/files/ieee%20tip%20PUMA%2007.pdf
[code 121]: http://www.lx.it.pt/~bioucas/code/PUMAdemos.zip
[Unwrapping MR phase images by a Markov random field model]: https://pantherfile.uwm.edu/leiying/www/index_files/TMI_phase.pdf
[code 122]: https://pantherfile.uwm.edu/leiying/www/
[Link 9]: http://www.mathworks.com/matlabcentral/fileexchange/22504-2d-phase-unwrapping-algorithms/content/GoldsteinUnwrap2D.m
[Satellite radar interferometry _- Two _- dimensional phase unwrapping]: http://igpp.ucsd.edu/~fialko/insar/Goldstein_RadioSci1988.pdf
[Phase unwrapping algorithms for radar interferometry_residue-cut_ least-squares_ and synthesis algorithms]: http://igppweb.ucsd.edu/~fialko/insar/Zebker_Lu_JOSAA1998.pdf
[code 123]: http://siptoolbox.sourceforge.net/doc/sip-0.2.0-reference/unwrapl.html
[DSI Studio]: http://dsi-studio.labsolver.org/
[FMRIB]: http://www.fmrib.ox.ac.uk/fsl/
[dtiQuery]: http://graphics.stanford.edu/projects/dti/dti-query/
[Camino]: http://www.cs.ucl.ac.uk/research/medic/camino/
[NAMIC]: http://www.na-mic.org/
[Unsupervised learning of finite mixture models]: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.80.2634&rep=rep1&type=pdf
[Affinity propagation]: http://www.psi.toronto.edu/index.php?q=affinity%20propagation
[On Spectral Clustering_ Analysis and an algorithm]: http://lagis-vi.univ-lille1.fr/~lm/classpec/reunion_23_03_07/a1bis%20-%20Ng%20Jordan%20Weiss%20seb.pdf
[code 124]: http://vision.ucsd.edu/~sagarwal/clustering.html
[code2 8]: http://www.stat.washington.edu/spectral/
[code3 2]: http://www.vision.caltech.edu/lihi/Demos/SelfTuningClustering.html
[Nonnegative matrix factorization _NMF]: http://www.csie.ntu.edu.tw/~cjlin/nmf/
[code2 9]: http://www.cs.helsinki.fi/u/phoyer/software.html
[code3 3]: http://www.bsp.brain.riken.jp/ICALAB/nmflab.html
[Computing nonnegative tensor factorizations]: http://www.cs.ubc.ca/~mpf/2008-computing-nntf.html
[Fast kmeans via triangle inequality]: http://cseweb.ucsd.edu/~elkan/fastkmeans.html
[FastANN and FastCluster for approximate kmeans]: http://www.robots.ox.ac.uk/~vgg/software/
[kdtree-based NN_kNN search]: http://www.mathworks.com/matlabcentral/fileexchange/7030-kd-tree-nearest-neighbor-and-range-search
[fast kNN search]: http://www.mathworks.com/matlabcentral/fileexchange/19345-efficient-k-nearest-neighbor-search-using-jit
[code2 10]: http://www.mathworks.com/matlabcentral/fileexchange/22190-fast-k-nearest-neighbors-search
[RANSAC toolbox for robust fitting]: http://vision.ece.ucsb.edu/~zuliani/Code/Packages/RANSAC/RANSAC.zip
[Clustering Through Ranking On Manifolds]: http://markus-breitenbach.com/download/manifold_clustering.pdf
[code 125]: http://markus-breitenbach.com/download/clustering_code_v02.zip
[Correlation clustering optimization]: http://www.wisdom.weizmann.ac.il/~bagon/matlab.html#LSCC
[Hybrid Linear Modeling via Local Best Flats]: http://www.springerlink.com/content/621714n5l03g2r3q/?MUD=MP
[code 126]: http://www.math.umn.edu/~zhang620/lbf/
[A taxonomy and evaluation of dense two-frame stereo correspondence algorithms]: http://vision.middlebury.edu/stereo/taxonomy-IJCV.pdf
[code 127]: http://vision.middlebury.edu/stereo/code/
[Graph cut based stereo matching]: http://www.cs.cornell.edu/~rdz/Papers/KZ-ICCV01-tr.pdf
[code 128]: http://www.cs.cornell.edu/~rdz/graphcuts.html
[Adaptive support-weight approach]: http://perception.inrialpes.fr/people/Yoon/PAMI2006_stereo.pdf
[Code 20]: http://vision.middlebury.edu/stereo/code/LASW/LASW.zip
[Energy minization based stereo matching]: http://www.cs.huji.ac.il/~talyam/stereo.html
[Energy Based Multiple Model Fitting for Non-Rigid Structure from Motion]: http://www.eecs.qmul.ac.uk/~chrisr/multi/mmodels.pdf
[code 129]: http://www.eecs.qmul.ac.uk/~chrisr/multi/code.tar.gz
[A Closed-Form Solution to Uncalibrated Photometric Stereo via Diffuse Maxima]: http://home.eps.hw.ac.uk/~tp71/CVPR2012_Code/index.html
[Patch-based Multi-view Stereo _PMVS]: http://www.di.ens.fr/pmvs/
[Library for Efficient Large-scale Stereo Matching]: http://www.rainsoft.de/software/libelas.html
[Apparent Layer Operations for the Manipulation of Deformable Objects]: http://www.designinterface.jp/en/projects/layer/
[2.5D cartoon models]: http://www.alecrivers.com/2.5dcartoonmodels/
[3D modeling with sihouettes]: http://www.alecrivers.com/3dmodelingwithsilhouettes/
[Real-time Large-deformation Substructuring]: http://run.usc.edu/substructuring/
[Generalized biped walking control]: http://www.cs.ubc.ca/~van/papers/2010-TOG-gbwc/index.html
[Locomotion Skills for Simulated Quadrupeds]: http://www.cs.ubc.ca/~van/papers/2011-TOG-quadruped/index.html
[Action Recognition from a Distributed Representation of Pose and Appearance]: http://www.cs.berkeley.edu/~smaji/projects/3dpose/index.html
[RECON_ Scale-Adaptive Robust Estimation via Residual Consensus]: http://www.cs.unc.edu/~rraguram/papers/0727.pdf
[code 130]: http://www.cs.unc.edu/~rraguram/papers/code.zip
[How Do Humans Sketch Objects]: http://cybertron.cg.tu-berlin.de/eitz/projects/classifysketch/
[Manifold Exploration_ A Markov Chain Monte Carlo technique for rendering scenes with difficult specular transport]: http://www.cs.cornell.edu/projects/manifolds-sg12/
[Exploring Collections of 3D Models using Fuzzy Correspondences]: http://www.cs.princeton.edu/~vk/CorrsFuzzy/index.html
[Illuminant Chromaticity from Image Sequences]: http://www.cs.huji.ac.il/~prinet/project_pages/Illuminant/Illuminant.html
[Network Principles for SfM_ Disambiguating Repeated Structures with Local Context]: http://www.cs.cornell.edu/projects/disambig/
[Resource collection at UC-Merced]: http://faculty.ucmerced.edu/mcarreira-perpinan/software.html
[Belief propagation_Sum-Product Algorithm]: http://www.psi.toronto.edu/pubs/2001/frey2001factor.pdf
[code 131]: http://www.mathworks.com/matlabcentral/fileexchange/26607
[Deep Boltzmann Machines]: http://www.mit.edu/~rsalakhu/DBM.html
[Shape Boltzmann machine_ a strong model of object shapes]: http://arkitus.com/ShapeBM/
[Support vector machine]: http://www.support-vector-machines.org/SVM_soft.html
[Liblinear for large linear classification]: http://www.csie.ntu.edu.tw/~cjlin/liblinear/
[Object detection with Boosting]: http://people.csail.mit.edu/torralba/shortCourseRLOC/boosting/boosting.html
[Hopfield networks]: http://www.pnas.org/content/79/8/2554.full.pdf
[code 132]: http://www.csee.wvu.edu/~xinl/code/test_Hopfield.m
[Self-organizing map _SOM_ Toolbox]: http://www.cis.hut.fi/projects/somtoolbox/
[Reservoir Computing Toolbox]: http://reslab.elis.ugent.be/rctoolbox
[Polychronization_ Computation With Spikes]: http://www.izhikevich.org/publications/spnet.htm
[Slowly coupled oscillators_ phase dynamics and sync]: http://www.izhikevich.org/publications/slow.htm
[Liquid State Machines_LSM]: http://www.igi.tugraz.at/maass/psfiles/130.pdf
[code 133]: http://www.lsm.tugraz.at/
[Sparse Coding Neural Gas]: http://www.inb.uni-luebeck.de/publications/pdfs/LaBaMa09.pdf
[code 134]: http://www.inb.uni-luebeck.de/tools-demos/scng/SCNG.tar.gz
[Echo state networks for harnessing nonlinearity]: http://redwood.berkeley.edu/amir/vs298/echo_state.pdf
[code 135]: http://minds.jacobs-university.de/sites/default/files/uploads/SW/ESNforMackeyGlass.zip
[Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration]: http://www.cs.ubc.ca/~mariusm/index.php/FLANN/FLANN
[Sum-Product Networks_ A New Deep Architecture]: http://www.cs.washington.edu/homes/hoifung/papers/poon11.pdf
[code 136]: http://alchemy.cs.washington.edu/spn
[Deformable graph matching]: http://www.f-zhou.com/gm/2013_CVPR_DGM.pdf
[code 137]: http://www.f-zhou.com/gm.html
[Shiro Ikeda_s page of Blind Source Separation]: http://www.google.com/url?sa=t&source=web&ct=res&cd=5&url=http%3A%2F%2Fwww.ism.ac.jp%2F%7Eshiro%2Fresearch%2Fblindsep.html&ei=uCRmSoajPI3eNdLiiaAB&usg=AFQjCNGBPV9TE35Nz9-TsSRih-uFm7TB2g&sig2=QKhu2fJIABk1ME7sj7nmkA
[Independent Component Analysis by JV Stone]: http://www.jim-stone.staff.shef.ac.uk/
[Blind source separation via Independent component analysis]: http://www.tsi.enst.fr/~cardoso/guidesepsou.html
[ICALab for image processing]: http://www.bsp.brain.riken.jp/ICALAB/ICALABImageProc/
[Separating a Real-Life Nonlinear Image Mixture]: http://www.lx.it.pt/~lbalmeida/ica/seethrough/code/jmlr05/
[A toolbox containing several camera calibration techniques]: http://www.vision.caltech.edu/bouguetj/calib_doc/
[A flexible new technique for camera calibration]: http://research.microsoft.com/en-us/um/people/zhang/calib/
[Geometric Camera Calibration Using Circular Control Points]: http://www.ee.oulu.fi/~jth/calibr/
[A New Mirror-based Extrinsic Camera Calibration Using an Orthogonality Constraint]: http://vision.kuee.kyoto-u.ac.jp/~nob/proj/mirror/
[Poisson-disk sampling]: http://staffwww.dcs.shef.ac.uk/people/M.Gamito/poisson.html
[Filtering solid Gabor noise]: http://graphics.cs.kuleuven.be/publications/LD11FSGN/
[Gabor Noise by Example]: http://graphics.cs.kuleuven.be/publications/GLLD12GNBE/
[Guided Exploration of Physically Valid Shapes for Furniture Design]: http://www-ui.is.s.u-tokyo.ac.jp/~ume/GuidedExploration/2012_siggraph_GuidedExploration.html
[Efficient Geometrically Exact Continuous Collision Detection]: http://www.cs.ubc.ca/labs/imager/tr/2012/ExactContinuousCollisionDetection/BEB2012.html
[Illuminant Chromaticity from Image Sequences 1]: http://www.cs.huji.ac.il/labs/cglab/projects/illumest/Illuminant/
[Ant colony optimization]: http://www.mathworks.com/matlabcentral/fileexchange/14543
[Genetic algorithm toolbox]: http://www.shef.ac.uk/acse/research/ecrg/gat.html
[Particle Swarm Optimization Toolbox]: http://www.mathworks.com/matlabcentral/fileexchange/7506
[Cache-efficient graph cuts on structured grids]: http://gridcut.com/
[The network simulator _ns-2]: http://www.isi.edu/nsnam/ns/
[NetSim at Tetcos]: http://tetcos.com/software.html
[LBNL_s software releases]: http://ee.lbl.gov/
[Simple model of spiking neurons]: http://www.izhikevich.org/publications/spikes.htm
[spike train analysis]: http://www.nbb.cornell.edu/neurobio/land/PROJECTS/SpikeTrainAnalysis/index.html
[Visual pattern recognition by moment invariants]: http://www.csee.wvu.edu/~xinl/library/papers/engr/Hu1962.pdf
[code 138]: http://www.cc.gatech.edu/~kwatra/computer_vision/ocr/OCR.html
[Direct LS-based ellipsis fitting]: http://research.microsoft.com/~awf/ellipse/ellipse-pami.pdf
[code 139]: http://research.microsoft.com/~awf/ellipse/
[DACE_ a MATLAB Kriging toolbox]: http://www2.imm.dtu.dk/~hbn/dace/
[Inference package for undirected graphical models]: http://www.cs.huji.ac.il/~talyam/inference.html
[Kernel smoothing toolbox]: http://www.math.muni.cz/~kolacek/docs/kerns.zip
[CMU statistics library collections]: http://lib.stat.cmu.edu/modules.php?op=modload&name=PostWrap&file=index&page=matlab/
[Rice DSP software release]: http://dsp.rice.edu/software
[Complex network toolbox]: http://www.levmuchnik.net/Content/Networks/ComplexNetworksPackage.html#Download
[Subspace segmentation source code distribution]: http://perception.csl.illinois.edu/gpca/
[Multiview geometry and 3D reconstruction]: http://vision.ucla.edu/MASKS/
[A probabilistic image jigsaw puzzle solver]: http://people.csail.mit.edu/taegsang/JigsawPuzzle.html
[Non-Iterative Approach for Fast and Accurate Vanishing Point Detection]: http://www-etud.iro.umontreal.ca/~tardifj/fichiers/Tardif_ICCV2009.pdf
[code 140]: http://www-etud.iro.umontreal.ca/~tardifj/fichiers/VPdetection-05-09-2010.tar.gz
[Affine registration of 2d point sets]: http://www.cise.ufl.edu/~jho/AffineRegistration/
[Rotation Invariant Nonrigid Point Set Matching in Cluttered Scenes]: http://www4.comp.polyu.edu.hk/~cslzhang/paper/DP_SC_TIP12.pdf
[code 141]: http://www4.comp.polyu.edu.hk/~cslzhang/code/dynamProg_minSpanTreeTri_shapCont_TIP.rar
[Tensor Product model transformation _for control design]: http://www.mathworks.com/matlabcentral/fileexchange/25514-tp-tool
[N-way toolbox]: http://www.mathworks.com/matlabcentral/fileexchange/1088-the-n-way-toolbox
[Simple Formulas For Quasiconformal Plane Deformations]: http://www.cs.princeton.edu/~vk/QuasiConformal/index.html
[An Analytic Model for Full Spectral Sky-Dome Radiance]: http://cgg.mff.cuni.cz/projects/SkylightModelling/
[Decoding_ Calibration and Rectification for Lenselet-Based Cameras]: http://marine.acfr.usyd.edu.au/index.php/Plenoptic
[Geostatistics toolbox]: http://en.wikipedia.org/wiki/Geostatistics
[mgstat]: http://mgstat.sourceforge.net/
[Error Correcting Codes _ECC]: http://www.eccpage.com/
[Face recognition software at face-rec.org]: http://www.face-rec.org/source-codes/
[Computer graphics]: http://www.dgp.toronto.edu/~rms/links.html
[graphics papers on the web]: http://trowley.org/
[Computer vision]: http://www.cs.cmu.edu/~cil/v-source.html
[CV papers on the web]: http://www.cvpapers.com/index.html
[Machine learning]: http://www.cs.utexas.edu/users/pclark/software/
[Google Sites on Compressed Sensing]: https://sites.google.com/site/igorcarron2/cs#reconstruction
[Google Sites on Matrix Factorization]: https://sites.google.com/site/igorcarron2/matrixfactorizations
[DMOZ Open Directory Project]: http://www.dmoz.org/Science/Math/Software/MATLAB/
[MATLAB toolbox collection at Plymouth]: http://www.tech.plym.ac.uk/spmc/links/matlab/matlab_toolbox.html
[Neurophysiological data analysis]: http://www.biomedicale.univ-paris5.fr/physcerv/C_Pouzat/Compendium.html
[VLFeat library for open-source CV]: http://www.vlfeat.org/
[Algorithms and source code for Quality_Technology]: http://www.models.life.ku.dk/algorithms
[Video-based human action detection resources]: http://research.microsoft.com/en-us/um/people/zliu/papers/SPM2010.pdf
[Data compression resources]: http://compression.ru/index_en.htm
[Deep learning _including DBM and RBM]: http://deeplearning.net/software_links/
[Computational Topology]: http://comptopfs.stanford.edu/
[Image Processing Online _IPOL]: http://www.ipol.im/pub/algo/
[Gradient Domain Manipulation Techniques in Vision and Graphics]: http://www.umiacs.umd.edu/~aagrawal/ICCV2007Course/
[Statistical and Structural Recognition of Human Actions]: https://sites.google.com/site/humanactionstutorialeccv10/
[Distance functions and metric learning]: http://www.cs.huji.ac.il/~ofirpele/DFML_ECCV2010_tutorial/
[Feature Learning for Image Classification]: http://ufldl.stanford.edu/eccv10-tutorial/
[Recognizing and Learning Object Categories]: http://people.csail.mit.edu/torralba/shortCourseRLOC/
[Physics-Based Human Motion Modelling for People Tracking]: http://www.cs.toronto.edu/~ls/iccv2009tutorial/
[3d Shape Reconstruction from Photographs_ a Multi-View Stereo Approach]: http://carlos-hernandez.org/cvpr2010/
[Deblurring Images_ Matrices_ Spectra_ and Filtering]: http://www2.imm.dtu.dk/~pch/HNO/
[Natural image statistics]: http://www.naturalimagestatistics.net/
[Spikes_ decisions _ actions]: http://www.cvr.yorku.ca/webpages/wilson.htm#book
[Multiple view geometry in computer vision]: http://www.robots.ox.ac.uk/~vgg/hzbook/
[Collective Animal Behavior]: http://www.collective-behavior.com/
[Signal Processing Techniques for Spike Train Analysis using MatLab]: http://glab.bcm.tmc.edu/signal_processing_techniques/signal_proc.html
[Image Processing Online _IPOL 1]: http://www.ipol.im/
[Abhinav Gupta _s research code release]: http://www.cs.cmu.edu/~abhinavg/index.html
[Al Hero_s Lab and his reproducible research]: http://tbayes.eecs.umich.edu/
[Alexei Efros_ research codes release]: http://www.cs.cmu.edu/~efros/
[Allen Yang_s research codes release]: http://www.eecs.berkeley.edu/~yang/software/softwarepage.html
[Amir Beck_s work on optimization theory and applications]: http://ie.technion.ac.il/Home/Users/becka.html
[Amir Saffari_s reproducible reseach code releases]: http://www.ymer.org/amir/software/
[Amit Agrawal_s Matlab and C codes]: http://www.umiacs.umd.edu/~aagrawal/software.html
[Anand Rangarajan _s matlab codes on his reproducibleresearch]: http://www.cise.ufl.edu/~anand/publications.html
[Anat Levin_s matlab codes release]: http://www.wisdom.weizmann.ac.il/~levina/
[Andrew Davison_s work on Computational neuroscience]: http://www.davison.webfactional.com/
[Antonio Torralba_s research codes release]: http://web.mit.edu/torralba/www/
[Ashok Veeraraghavan_s reproducible research code release]: http://www.cfar.umd.edu/~vashok/
[Ayan Chakrabarti_s reproducible research code release]: http://www.eecs.harvard.edu/~ayanc/www/
[Bill Freeman_s software release on his group_s reproducibleresearch]: http://people.csail.mit.edu/billf/software.html
[Bob Kass_ research codes on neuronal data analysis]: http://www.stat.cmu.edu/~kass/
[Chih-Jian Lin_s machine learning software release]: http://www.csie.ntu.edu.tw/~cjlin/index.html
[Chih-Yuan Yang_s research code release]: https://eng.ucmerced.edu/people/cyang35
[Christopher Kanan_s reproducible research code release]: http://cseweb.ucsd.edu/~ckanan/NIMBLE.html
[Chuck Anderson_s matlab codes on NNs and reinforcement learning]: http://www.cs.colostate.edu/~anderson/code/
[Chunming Li_s research code release]: https://sites.google.com/site/clictoolkit/
[Claude Knaus_ research codes release]: http://knuth.unibe.ch/~knaus/
[Dafeng Sun_s matlab codes release]: http://www.math.nus.edu.sg/~matsundf/#Codes
[Dan Ellis_ MATLAB Audio Processing Examples]: http://www.ee.columbia.edu/~dpwe/resources/matlab/
[Daniel Huttenlocher _s research code release]: http://www.cs.cornell.edu/~dph/
[Daniel Zoran_s research code release]: http://www.cs.huji.ac.il/~daniez/
[Danny Harari_s software release]: http://www.wisdom.weizmann.ac.il/~dannyh/downloads.html
[David Heeger_s toolboxes]: http://www.cns.nyu.edu/heegerlab/?page=software
[Derek Hoiem_s research software release]: http://www.cs.uiuc.edu/homes/dhoiem/
[Deva Ramanan_s work on object recognition]: http://www.ics.uci.edu/~dramanan/
[Dror Baron_s research software release]: http://people.engr.ncsu.edu/dzbaron/software.html
[Dimitri Van De Ville _s research codes release]: http://miplab.unige.ch/projects.html
[Emmanuel Candes_ software release]: http://www-stat.stanford.edu/~candes/software.html
[Emanuel Todorov_s research codes release]: http://www.cs.washington.edu/homes/todorov/software.html
[EPFL CVLab_s research codes release]: http://cvlab.epfl.ch/software/index.php
[Eugene M. Izhikevich_s matlab codes on NNs]: http://www.izhikevich.org/publications/index.htm
[Fei-fei Li_s research code release]: http://www.cs.utah.edu/~lifeifei/research.html
[Guoping Qiu_s research codes release]: http://www.viplab.cs.nott.ac.uk/demo&code/demo&code.html
[Graham Taylor_s source codes release]: http://www.cs.nyu.edu/~gwtaylor/
[Haibin Ling_s research codes release]: http://www.dabi.temple.edu/~hbling/publication.htm
[Hanchun Peng_s software release]: http://penglab.janelia.org/software/Hanchuan_Peng_Software/software.html
[Hao Jiang_s research code release]: http://www.cs.bc.edu/~hjiang/
[H.J. Seo_s interesting collection of everything]: http://alumni.soe.ucsc.edu/~rokaf/interests.html
[Honglak Lee_s research code release]: http://web.eecs.umich.edu/~honglak/
[Huifung Poo_s research codes release]: http://www.cs.washington.edu/homes/hoifung/
[Human sensing _CMU_s software release]: http://humansensing.cs.cmu.edu/software.html
[INRIA LEAR research codes release]: http://lear.inrialpes.fr/software
[IPL _Politechnico di Torino_s research codes release]: http://www1.tlc.polito.it/sas-ipl/download.php
[Jason Corso_s research codes release]: http://www.cse.buffalo.edu/~jcorso//index.html
[Jalal Fadili_s source codes on sparse representation]: http://www.greyc.ensicaen.fr/~jfadili/software.html
[James Hays_ research code release]: http://www.cs.brown.edu/~hays/
[Javier Portilla_s research codes release]: http://www4.io.csic.es/PagsPers/JPortilla/portada/software
[Jelena Kovacevic_s bimagicLab_ Software]: http://www.andrew.cmu.edu/user/jelenak/Software/index.html
[Jeffrey A. Fessler_s matlab codes release]: http://www.csee.wvu.edu/~xinl/bio/index.html
[Jian Sun_s research code release]: http://gr.xjtu.edu.cn:8080/c/portal/layout?p_l_id=PUB.3251.2
[Jian Zhang_s research code release]: http://idm.pku.edu.cn/staff/zhangjian/
[JianChao Yang_s source codes on image classification and super-resolution]: http://www.ifp.illinois.edu/~jyang29/
[Jianxiong Xiao_s research codes release]: http://web.mit.edu/jxiao/
[Jiaya Jia_s programs and executables]: http://www.cse.cuhk.edu.hk/~leojia/research.html
[Jieping Ye_s research codes release]: http://www.public.asu.edu/~jye02/Software/index.html
[John Paisley_s research code release]: http://www.cs.berkeley.edu/~jpaisley/Papers.htm
[Jon Wellner_s work on statistics]: http://www.stat.washington.edu/jaw/jaw.research.reproducible.html
[Jose M. Bioucas Dias_ research codes release]: http://www.lx.it.pt/~bioucas/code.htm
[Julien Mairal_s research code release]: http://lear.inrialpes.fr/people/mairal/publications.php
[Junzhou Huang_s research codes release]: http://ranger.uta.edu/~huang/Downloads.htm
[Kai Yu_s reproducible research codes release]: http://www.dbs.informatik.uni-muenchen.de/~yu_k/
[Kaihua Zhang_s research code release]: http://www4.comp.polyu.edu.hk/~cskhzhang/
[Kilian Q. Weinberger _s research code release]: http://www.cse.wustl.edu/~kilian/code/code.html
[Kevin Murphy_s Bayes Net Toolbox for Matlab]: http://people.cs.ubc.ca/~murphyk/Software/BNT/bnt.html
[Kyoung Mu Lee _s software release]: http://cv.snu.ac.kr/softwares
[Laurens van der Maaten_s software collection]: http://homepage.tudelft.nl/19j49/Software.html
[Laurent Perrinet_s SparseHebbianlearning source codes]: http://www.incm.cnrs-mrs.fr/LaurentPerrinet/SparseHebbianLearning#Reproducibleresearch
[Lawrence Carin_s research code release]: http://people.ee.duke.edu/~lcarin/reproduce.html
[LCAV_s reproducible research at EPFL]: http://lcav.epfl.ch/software
[Lei Zhang_s MATLAB codes releases]: http://www4.comp.polyu.edu.hk/~cslzhang/code.htm
[Leo Grady_s matlab codes on his reproducible research]: http://cns.bu.edu/~lgrady/software.html
[Lina Karam_s research software release]: http://ivulab.asu.edu/metadot/index.pl?iid=2416&isa=Category
[Mahdi Soltanolkotabi _s research code release]: http://www.stanford.edu/~mahdisol/Software.html
[Malcolm A. MacIver_s AnimalLab]: http://www.neuromech.northwestern.edu/AnimalLab/AnimalLab.shtml
[Marco Zuliani_s reproducible research codes release]: http://vision.ece.ucsb.edu/~zuliani/Code/Code.html
[Mariana S. C. Almeida _s reproducible research code release]: http://www.lx.it.pt/~mscla/index.htm
[Mark A. Davenport_s research code release]: http://www-stat.stanford.edu/~markad/software/
[Mark Schmidt_s reseach on learning on probabilistic graphical models]: http://www.cs.ubc.ca/~schmidtm/
[Matthew Zeiler_s reproducible research code release]: http://www.matthewzeiler.com/software/
[MD Anderson Cancer Center_ Bioinformatics]: http://bioinformatics.mdanderson.org/supplements.html
[Michael Elad_s source code collection on his research]: http://www.cs.technion.ac.il/~elad/software/
[Michael J. Brown_s research codes release]: http://www.cs.brown.edu/~black/
[Michal Cernansky_s research code release]: http://www2.fiit.stuba.sk/~cernans/main/download.html
[Miguel _. Carreira-Perpi_n _s research software release]: http://faculty.ucmerced.edu/mcarreira-perpinan/papers.html
[Mikel Rodriguez_s source codes release]: http://www.di.ens.fr/~rodrigue/index.htm#sourcecode
[Minmin Chen_s reproducible research code release]: http://www.cse.wustl.edu/~mchen/#sof
[Ming-ming Chen_s reproducible research code release]: http://cg.cs.tsinghua.edu.cn/people/~cmm/
[Ming-Hsuan Yang_s reproducible research works]: http://faculty.ucmerced.edu/mhyang/pubs.html
[Mingyuan Zhou_s research codes release]: http://people.ee.duke.edu/~mz1/
[Naiyan Wang_s research codes release]: http://winsty.net/publication.html
[Neil Lawrence_s reproducible research in machine learning]: http://www.cs.man.ac.uk/~neill/software.html
[Ofir Pele_s research codes release]: http://www.seas.upenn.edu/~ofirpele/
[Onur Guleryuz_s research codes release]: http://eeweb.poly.edu/~onur/source.html
[Owen Carmichael_s software release]: http://idealab.ucdavis.edu/software/index.php
[Pascal Getreuer_s software release]: http://www.getreuer.info/
[Paven Turaga_s research code release]: http://www.public.asu.edu/~pturaga/Codes.html
[Pedro Domingos_ research codes release]: http://www.cs.washington.edu/homes/pedrod/
[PF Felzenszwalb _s research codes release]: http://cs.brown.edu/~pff/
[Penn State LPAC research code release]: http://vision.cse.psu.edu/data/data.shtml
[Peter Getreuer_s reproducible research code release]: http://www.math.ucla.edu/~getreuer/
[Peter Kovesi_s matlab functions for CV and image processing]: http://www.csse.uwa.edu.au/~pk/Research/MatlabFns/index.html
[Peyman Milanfar_s research code release]: http://users.soe.ucsc.edu/~milanfar/software/
[Philipp Krahenbuhl_s research codes release]: http://www.stanford.edu/~philkr/
[Qingxiong Yang_s research codes release]: http://www.cs.cityu.edu.hk/~qiyang/
[Rene Vidal_s Visionlab reproducible research code release]: http://www.vision.jhu.edu/code/
[Raj Gupta_s reproducible research code release]: http://www.cse.iitm.ac.in/~rgupta/npublication.htm
[Raquel Urtasun _s research codes release]: http://ttic.uchicago.edu/~rurtasun/SW/SW.html
[Rick Chartland_s release on his reproducible research]: http://math.lanl.gov/~rick/Software/TVDiff/
[Robert Nowak_s source code release]: http://nowak.ece.wisc.edu/pubs.html
[Ruslan Salakhutdinov_s research codes release]: http://www.utstat.toronto.edu/~rsalakhu/code.html
[Scott Acton_s research software releases]: http://viva.ee.virginia.edu/downloads.html
[Shai Bagon_s Matlab Code]: http://www.wisdom.weizmann.ac.il/~bagon/matlab.html
[Shaoting Zhang_s reproducible research code release]: http://www.research.rutgers.edu/~shaoting/#projects
[Simoncelli_s LCV reproducible research codes release]: http://www.cns.nyu.edu/~lcv/software.php
[Song-chun Zhu_s source codes on image segmentation and active basis]: http://www.stat.ucla.edu/~sczhu/research.html
[Thomas Brox_s research codes release]: http://lmb.informatik.uni-freiburg.de/resources/software.php
[Tony Xu Han_s reproducible research code release]: http://web.missouri.edu/~hantx/
[UCF vision lab source code collection]: http://server.cs.ucf.edu/~vision/source.html
[UIUC_s salient patch feature collection]: http://www.ifp.illinois.edu/~cao4/reading/patchbib.htm
[USC_s iLab Neuromorphic Vision C_ Toolkit]: http://ilab.usc.edu/toolkit/
[UWO vision lab reproducible research code release]: http://vision.csd.uwo.ca/code/
[Vanderbilt_s StatReport]: http://biostat.mc.vanderbilt.edu/twiki/bin/view/Main/StatReport
[Vladimir Kolmogorov_s research codes release]: http://pub.ist.ac.at/~vnk/software.html
[Wavelab _at Univ. of Salzburg_ software release]: http://www.wavelab.at/sources/index.php
[WILLOW_s research code release]: http://www.di.ens.fr/willow/software.php
[Wotao Yin_s research code release]: http://www.caam.rice.edu/~wy1/software.html
[Xavier Bresson_s source codes accompanying his papers on image processing]: http://www.cs.cityu.edu.hk/~xbresson/codes.html
[Xiaofei He_s dimensionality reduction source code collection]: http://www.zjucadcg.cn/dengcai/Data/data.html
[Xiaofeng Ren_s research codes release]: http://homes.cs.washington.edu/~xren/
[Xiaogang Wang_s research codes release]: http://www.ee.cuhk.edu.hk/~xgwang/publications_topic.html
[Xiaoming Huo_s software release]: http://www2.isye.gatech.edu/~xiaoming/software/
[Xubo Song_s matlab codes on her reproducible research]: http://www.bme.ogi.edu/~xubosong/
[Yair Weiss_ research codes release]: http://www.cs.huji.ac.il/~yweiss/
[Yi Ma_s source code collection on his reproducible research]: http://decision.csl.illinois.edu/~yima/Research.html
[Yi Wang_s research codes release]: http://math.umn.edu/~wangx857/
[York vision research center_s software release]: http://www.cvr.yorku.ca/members/gradstudents/kosta/SoftwareDemos/index.html
[Yu-wing Tai_s reproducible research code releases]: http://yuwing.kaist.ac.kr/
[Yuanjie Zheng_s source codes release]: http://sites.google.com/site/zhengvision/publications
[Yue M Lu_s source codes on his reproducible research]: http://lu.seas.harvard.edu/software.html
[Yue Wang at VT-CBIL_s research code release]: http://www.cbil.ece.vt.edu/software.htm
[Zhilin Zhang_s research codes release]: http://dsp.ucsd.edu/~zhilin/Software.html
[Zhoulin Jiang_s research code release]: http://www.umiacs.umd.edu/~zhuolin/index.html
[Zhuowen Tu_s research code releases]: http://www.loni.ucla.edu/~ztu/