计算机视觉、机器学习相关领域论文和源代码大集合

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**原文地址：**[\[ZZ\]计算机视觉、机器学习相关领域论文和源代码大集合][ZZ]**作者：**[计算机视觉与模式][Link 1]

注：下面有project网站的大部分都有paper和相应的code。Code一般是C/C++或者Matlab代码。

最近一次更新：2013-1-29

**一、 特征提取Feature Extraction：**

SIFT \[1\] \[[Demo program][]\]\[[SIFT Library][]\] \[[VLFeat][]\]

PCA-SIFT \[2\] \[[Project][]\]

Affine-SIFT \[3\] \[[Project][Project 1]\]

SURF \[4\] \[[OpenSURF][]\] \[[Matlab Wrapper][]\]

Affine Covariant Features \[5\] \[[Oxford project][]\]

MSER \[6\] \[[Oxford project][]\] \[[VLFeat][]\]

Geometric Blur \[7\] \[[Code][]\]

Local Self-Similarity Descriptor \[8\] \[[Oxford implementation][]\]

Global and Efficient Self-Similarity \[9\] \[[Code][Code 1]\]

Histogram of Oriented Graidents \[10\] \[[INRIA Object Localization Toolkit][]\] \[[OLT toolkit for Windows][]\]

GIST \[11\] \[[Project][Project 2]\]

Shape Context \[12\] \[[Project][Project 3]\]

Color Descriptor \[13\] \[[Project][Project 4]\]

Pyramids of Histograms of Oriented Gradients \[[Code][Code 2]\]

Space-Time Interest Points (STIP) \[14\]\[[Project][Project 5]\] \[[Code][Code 3]\]

Boundary Preserving Dense Local Regions \[15\]\[[Project][Project 6]\]

Weighted Histogram\[[Code][Code 4]\]

Histogram-based Interest Points Detectors\[[Paper][]\]\[[Code][Code 5]\]

An OpenCV - C++ implementation of Local Self Similarity Descriptors \[[Project][Project 7]\]

Fast Sparse Representation with Prototypes\[[Project][Project 8]\]

Corner Detection \[[Project][Project 9]\]

AGAST Corner Detector: faster than FAST and even FAST-ER\[[Project][Project 10]\]

## **二、 图像分割Image Segmentation：** ##

Normalized Cut \[1\] \[[Matlab code][]\]

Gerg Mori’ Superpixel code \[2\] \[[Matlab code][Matlab code 1]\]

Efficient Graph-based Image Segmentation \[3\] \[[C++ code][C_ code]\] \[[Matlab wrapper][]\]

Mean-Shift Image Segmentation \[4\] \[[EDISON C++ code][EDISON C_ code]\] \[[Matlab wrapper][Matlab wrapper 1]\]

OWT-UCM Hierarchical Segmentation \[5\] \[[Resources][]\]

Turbepixels \[6\] \[[Matlab code 32bit][]\] \[[Matlab code 64bit][]\] \[[Updated code][]\]

Quick-Shift \[7\] \[[VLFeat][VLFeat 1]\]

SLIC Superpixels \[8\] \[[Project][Project 11]\]

Segmentation by Minimum Code Length \[9\] \[[Project][Project 12]\]

Biased Normalized Cut \[10\] \[[Project][Project 13]\]

Segmentation Tree \[11-12\] \[[Project][Project 14]\]

Entropy Rate Superpixel Segmentation \[13\] \[[Code][Code 6]\]

Fast Approximate Energy Minimization via Graph Cuts\[[Paper][Paper 1]\]\[[Code][Code 7]\]

Efﬁcient Planar Graph Cuts with Applications in Computer Vision\[[Paper][Paper 2]\]\[[Code][Code 8]\]

Isoperimetric Graph Partitioning for Image Segmentation\[[Paper][Paper 3]\]\[[Code][Code 9]\]

Random Walks for Image Segmentation\[[Paper][Paper 4]\]\[[Code][Code 10]\]

Blossom V: A new implementation of a minimum cost perfect matching algorithm\[[Code][Code 11]\]

An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Computer Vision\[[Paper][Paper 5]\]\[[Code][Code 12]\]

Geodesic Star Convexity for Interactive Image Segmentation\[[Project][Project 15]\]

Contour Detection and Image Segmentation Resources\[[Project][Resources]\]\[[Code][Code 13]\]

Biased Normalized Cuts\[[Project][Project 16]\]

Max-flow/min-cut\[[Project][Project 17]\]

Chan-Vese Segmentation using Level Set\[[Project][Project 18]\]

A Toolbox of Level Set Methods\[[Project][Project 19]\]

Re-initialization Free Level Set Evolution via Reaction Diffusion\[[Project][Project 20]\]

Improved C-V active contour model\[[Paper][Paper 6]\]\[[Code][Code 14]\]

A Variational Multiphase Level Set Approach to Simultaneous Segmentation and Bias Correction\[[Paper][Paper 7]\]\[[Code][Code 15]\]

Level Set Method Research by Chunming Li\[[Project][Project 21]\]

## **三、 目标检测Object Detection：** ##

A simple object detector with boosting \[[Project][Project 22]\]

INRIA Object Detection and Localization Toolkit \[1\] \[[Project][Project 23]\]

Discriminatively Trained Deformable Part Models \[2\] \[[Project][Project 24]\]

Cascade Object Detection with Deformable Part Models \[3\] \[[Project][Project 25]\]

Poselet \[4\] \[[Project][Project 26]\]

Implicit Shape Model \[5\] \[[Project][Project 27]\]

Viola and Jones’s Face Detection \[6\] \[[Project][Project 28]\]

Bayesian Modelling of Dyanmic Scenes for Object Detection\[[Paper][Paper 8]\]\[[Code][Code 16]\]

Hand detection using multiple proposals\[[Project][Project 29]\]

Color Constancy, Intrinsic Images, and Shape Estimation\[[Paper][Paper 9]\]\[[Code][Code 17]\]

Discriminatively trained deformable part models\[[Project][Project 30]\]

Gradient Response Maps for Real-Time Detection of Texture-Less Objects: LineMOD \[[Project][Project 31]\]

Image Processing On Line\[[Project][Project 32]\]

Robust Optical Flow Estimation\[[Project][Project 33]\]

Where's Waldo: Matching People in Images of Crowds\[[Project][Project 34]\]

## **四、 显著性检测Saliency Detection：** ##

Itti, Koch, and Niebur’ saliency detection \[1\] \[[Matlab code][Matlab code 2]\]

Frequency-tuned salient region detection \[2\] \[[Project][Project 35]\]

Saliency detection using maximum symmetric surround \[3\] \[[Project][Project 36]\]

Attention via Information Maximization \[4\] \[[Matlab code][Matlab code 3]\]

Context-aware saliency detection \[5\] \[[Matlab code][Matlab code 4]\]

Graph-based visual saliency \[6\] \[[Matlab code][Matlab code 5]\]

Saliency detection: A spectral residual approach. \[7\] \[[Matlab code][Matlab code 6]\]

Segmenting salient objects from images and videos. \[8\] \[[Matlab code][Matlab code 7]\]

Saliency Using Natural statistics. \[9\] \[[Matlab code][Matlab code 8]\]

Discriminant Saliency for Visual Recognition from Cluttered Scenes. \[10\] \[[Code][Code 18]\]

Learning to Predict Where Humans Look \[11\] \[[Project][Project 37]\]

Global Contrast based Salient Region Detection \[12\] \[[Project][Project 38]\]

Bayesian Saliency via Low and Mid Level Cues\[[Project][Project 39]\]

Top-Down Visual Saliency via Joint CRF and Dictionary Learning\[[Paper][Paper 10]\]\[[Code][Code 19]\]

## **五、 图像分类、聚类Image Classification, Clustering** ##

Pyramid Match \[1\] \[[Project][Project 40]\]

Spatial Pyramid Matching \[2\] \[[Code][Code 20]\]

Locality-constrained Linear Coding \[3\] \[[Project][Project 41]\] \[[Matlab code][Matlab code 9]\]

Sparse Coding \[4\] \[[Project][Project 42]\] \[[Matlab code][Matlab code 10]\]

Texture Classification \[5\] \[[Project][Project 43]\]

Multiple Kernels for Image Classification \[6\] \[[Project][Code]\]

Feature Combination \[7\] \[[Project][Project 44]\]

SuperParsing \[[Code][Code 21]\]

Large Scale Correlation Clustering Optimization\[[Matlab code][Matlab code 11]\]

Detecting and Sketching the Common\[[Project][Project 45]\]

Self-Tuning Spectral Clustering\[[Project][Project 46]\]\[[Code][Code 22]\]

User Assisted Separation of Reflections from a Single Image Using a Sparsity Prior\[[Paper][Paper 11]\]\[[Code][Code 23]\]

Filters for Texture Classification\[[Project][Project 47]\]

Multiple Kernel Learning for Image Classification\[[Project][Code]\]

SLIC Superpixels\[[Project][Project 48]\]

## **六、 抠图Image Matting** ##

A Closed Form Solution to Natural Image Matting \[[Code][Code 24]\]

Spectral Matting \[[Project][Project 49]\]

Learning-based Matting \[[Code][Code 25]\]

## **七、 目标跟踪Object Tracking：** ##

A Forest of Sensors - Tracking Adaptive Background Mixture Models \[[Project][Project 50]\]

Object Tracking via Partial Least Squares Analysis\[[Paper][Paper 12]\]\[[Code][Code 26]\]

Robust Object Tracking with Online Multiple Instance Learning\[[Paper][Paper 13]\]\[[Code][Code 27]\]

Online Visual Tracking with Histograms and Articulating Blocks\[[Project][Project 51]\]

Incremental Learning for Robust Visual Tracking\[[Project][Project 52]\]

Real-time Compressive Tracking\[[Project][Project 53]\]

Robust Object Tracking via Sparsity-based Collaborative Model\[[Project][Project 54]\]

Visual Tracking via Adaptive Structural Local Sparse Appearance Model\[[Project][Project 55]\]

Online Discriminative Object Tracking with Local Sparse Representation\[[Paper][Paper 14]\]\[[Code][Code 28]\]

Superpixel Tracking\[[Project][Project 56]\]

Learning Hierarchical Image Representation with Sparsity, Saliency and Locality\[[Paper][Paper 15]\]\[[Code][Code 29]\]

Online Multiple Support Instance Tracking \[[Paper][Paper 16]\]\[[Code][Code 30]\]

Visual Tracking with Online Multiple Instance Learning\[[Project][Code 27]\]

Object detection and recognition\[[Project][Project 57]\]

Compressive Sensing Resources\[[Project][Project 58]\]

Robust Real-Time Visual Tracking using Pixel-Wise Posteriors\[[Project][Project 59]\]

Tracking-Learning-Detection\[[Project][Project 60]\]\[[OpenTLD/C++ Code][OpenTLD_C_ Code]\]

the HandVu：vision-based hand gesture interface\[[Project][Project 61]\]

## **八、 Kinect：** ##

Kinect toolbox\[[Project][Project 62]\]

OpenNI\[[Project][Project 63]\]

zouxy09 CSDN Blog\[[Resource][]\]

## **九、 3D相关：** ##

3D Reconstruction of a Moving Object\[[Paper][Paper 17]\] \[[Code][Code 31]\]

Shape From Shading Using Linear Approximation\[[Code][Code 32]\]

Combining Shape from Shading and Stereo Depth Maps\[[Project][Project 64]\]\[[Code][Code 33]\]

Shape from Shading: A Survey\[[Paper][Paper 18]\]\[[Code][Code 34]\]

A Spatio-Temporal Descriptor based on 3D Gradients (HOG3D)\[[Project][Project 65]\]\[[Code][Code 35]\]

Multi-camera Scene Reconstruction via Graph Cuts\[[Paper][Paper 19]\]\[[Code][Code 36]\]

A Fast Marching Formulation of Perspective Shape from Shading under Frontal Illumination\[[Paper][Paper 20]\]\[[Code][Code 37]\]

Reconstruction:3D Shape, Illumination, Shading, Reflectance, Texture\[[Project][Project 66]\]

Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers\[[Code][Code 38]\]

Learning 3-D Scene Structure from a Single Still Image\[[Project][Project 67]\]

## **十、 机器学习算法：** ##

Matlab class for computing Approximate Nearest Nieghbor (ANN) \[[Matlab class][] providing interface to[ANN library][]\]

Random Sampling\[[code][]\]

Probabilistic Latent Semantic Analysis (pLSA)\[[Code][Code 39]\]

FASTANN and FASTCLUSTER for approximate k-means (AKM)\[[Project][Project 68]\]

Fast Intersection / Additive Kernel SVMs\[[Project][Project 69]\]

SVM\[[Code][Code 40]\]

Ensemble learning\[[Project][Project 57]\]

Deep Learning\[[Net][]\]

Deep Learning Methods for Vision\[[Project][Project 70]\]

Neural Network for Recognition of Handwritten Digits\[[Project][Project 71]\]

Training a deep autoencoder or a classifier on MNIST digits\[[Project][Project 72]\]

THE MNIST DATABASE of handwritten digits\[[Project][Project 73]\]

Ersatz：deep neural networks in the cloud\[[Project][Project 74]\]

Deep Learning \[[Project][Project 75]\]

sparseLM : Sparse Levenberg-Marquardt nonlinear least squares in C/C++\[[Project][Project 76]\]

Weka 3: Data Mining Software in Java\[[Project][Project 77]\]

Invited talk "A Tutorial on Deep Learning" by Dr. Kai Yu (余凯)\[[Video][]\]

CNN - Convolutional neural network class\[[Matlab Tool][]\]

Yann LeCun's Publications\[[Wedsite][]\]

LeNet-5, convolutional neural networks\[[Project][Project 78]\]

Training a deep autoencoder or a classifier on MNIST digits\[[Project][Project 72]\]

Deep Learning 大牛Geoffrey E. Hinton's HomePage\[[Website][]\]

## **十一、 目标、行为识别Object, Action Recognition：** ##

Action Recognition by Dense Trajectories\[[Project][Project 79]\]\[[Code][Code 41]\]

Action Recognition Using a Distributed Representation of Pose and Appearance\[[Project][Project 80]\]

Recognition Using Regions\[[Paper][Paper 21]\]\[[Code][Code 42]\]

2D Articulated Human Pose Estimation\[[Project][Project 81]\]

Fast Human Pose Estimation Using Appearance and Motion via Multi-Dimensional Boosting Regression\[[Paper][Paper 22]\]\[[Code][Code 43]\]

Estimating Human Pose from Occluded Images\[[Paper][Paper 23]\]\[[Code][Code 44]\]

Quasi-dense wide baseline matching\[[Project][Project 82]\]

ChaLearn Gesture Challenge: Principal motion: PCA-based reconstruction of motion histograms\[[Prpject][]\]

## **十二、 图像处理：** ##

Distance Transforms of Sampled Functions\[[Project][Project 83]\]

The Computer Vision Homepage\[[Project][Project 84]\]

## **十三、 一些实用工具：** ##

EGT: a Toolbox for Multiple View Geometry and Visual Servoing\[[Project][Project 85]\] \[[Code][Code 45]\]

a development kit of matlab mex functions for OpenCV library\[[Project][Project 86]\]

Fast Artificial Neural Network Library\[[Project][Project 87]\]

From:http://blog.csdn.net/zouxy09

[ZZ]: http://blog.sina.com.cn/s/blog_c09fe5d501016lbm.html
[Link 1]: http://blog.sina.com.cn/u/3231704533
[Demo program]: http://www.cs.ubc.ca/~lowe/keypoints/siftDemoV4.zip
[SIFT Library]: http://blogs.oregonstate.edu/hess/code/sift/
[VLFeat]: http://www.vlfeat.org/
[Project]: http://www.cs.cmu.edu/~yke/pcasift/
[Project 1]: http://www.ipol.im/pub/algo/my_affine_sift/
[OpenSURF]: http://www.chrisevansdev.com/computer-vision-opensurf.html
[Matlab Wrapper]: http://www.maths.lth.se/matematiklth/personal/petter/surfmex.php
[Oxford project]: http://www.robots.ox.ac.uk/~vgg/research/affine/
[Code]: http://www.robots.ox.ac.uk/~vgg/software/MKL/
[Oxford implementation]: http://www.robots.ox.ac.uk/~vgg/software/SelfSimilarity/
[Code 1]: http://www.vision.ee.ethz.ch/~calvin/gss/selfsim_release1.0.tgz
[INRIA Object Localization Toolkit]: http://www.navneetdalal.com/software
[OLT toolkit for Windows]: http://www.computing.edu.au/~12482661/hog.html
[Project 2]: http://people.csail.mit.edu/torralba/code/spatialenvelope/
[Project 3]: http://www.eecs.berkeley.edu/Research/Projects/CS/vision/shape/sc_digits.html
[Project 4]: http://koen.me/research/colordescriptors/
[Code 2]: http://www.robots.ox.ac.uk/~vgg/research/caltech/phog/phog.zip
[Project 5]: http://www.nada.kth.se/cvap/abstracts/cvap284.html
[Code 3]: http://www.irisa.fr/vista/Equipe/People/Laptev/download/stip-1.1-winlinux.zip
[Project 6]: http://vision.cs.utexas.edu/projects/bplr/bplr.html
[Code 4]: http://www.wisdom.weizmann.ac.il/~bagon/matlab_code/whistc.tar.gz
[Paper]: http://www.cs.nthu.edu.tw/~htchen/hipd_cvpr09.pdf
[Code 5]: http://740-2.cs.nthu.edu.tw/~htchen/hipd/hist_corner.zip
[Project 7]: http://intuitionlogic.com/post/2011/04/11/A-OpenCV-C++-implementation-of-Local-Self-Similarity-Descriptors.aspx
[Project 8]: http://faculty.ucmerced.edu/mhyang/cvpr10_fsr.html
[Project 9]: http://kiwi.cs.dal.ca/~dparks/CornerDetection/index.htm
[Project 10]: http://www6.in.tum.de/Main/ResearchAgast
[Matlab code]: http://www.cis.upenn.edu/~jshi/software/
[Matlab code 1]: http://www.cs.sfu.ca/~mori/research/superpixels/
[C_ code]: http://people.cs.uchicago.edu/~pff/segment/
[Matlab wrapper]: http://www.mathworks.com/matlabcentral/fileexchange/25866-efficient-graph-based-image-segmentation
[EDISON C_ code]: http://coewww.rutgers.edu/riul/research/code/EDISON/index.html
[Matlab wrapper 1]: http://www.wisdom.weizmann.ac.il/~bagon/matlab_code/edison_matlab_interface.tar.gz
[Resources]: http://www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/resources.html
[Matlab code 32bit]: http://www.cs.toronto.edu/~babalex/turbopixels_code.tar.gz
[Matlab code 64bit]: http://www.cs.toronto.edu/~babalex/TurboPixels64.rar
[Updated code]: http://www.cs.toronto.edu/~babalex/superpixels_update.tgz
[VLFeat 1]: http://www.vlfeat.org/overview/quickshift.html
[Project 11]: http://ivrgwww.epfl.ch/supplementary_material/RK_SLICSuperpixels/index.html
[Project 12]: http://perception.csl.uiuc.edu/coding/image_segmentation/
[Project 13]: http://www.cs.berkeley.edu/~smaji/projects/biasedNcuts/
[Project 14]: http://vision.ai.uiuc.edu/segmentation
[Code 6]: http://www.umiacs.umd.edu/~mingyliu/src/ers_matlab_wrapper_v0.1.zip
[Paper 1]: http://www.csd.uwo.ca/faculty/olga/Papers/pami01_final.pdf
[Code 7]: http://vision.csd.uwo.ca/code/gco-v3.0.zip
[Paper 2]: http://www.csd.uwo.ca/~schmidtf/pdf/schmidt_et_al_cvpr09.pdf
[Code 8]: http://vision.csd.uwo.ca/code/PlanarCut-v1.0.zip
[Paper 3]: http://www.cns.bu.edu/~lgrady/grady2006isoperimetric.pdf
[Code 9]: http://www.cns.bu.edu/~lgrady/grady2006isoperimetric_code.zip
[Paper 4]: http://www.cns.bu.edu/~lgrady/grady2006random.pdf
[Code 10]: http://www.cns.bu.edu/~lgrady/random_walker_matlab_code.zip
[Code 11]: http://pub.ist.ac.at/~vnk/software/blossom5-v2.03.src.tar.gz%20http:/pub.ist.ac.at/~vnk/software/blossom5-v2.03.src.tar.gz
[Paper 5]: http://www.csd.uwo.ca/~yuri/Papers/pami04.pdf
[Code 12]: http://pub.ist.ac.at/~vnk/software/maxflow-v3.01.src.tar.gz
[Project 15]: http://www.robots.ox.ac.uk/~vgg/software/iseg/
[Code 13]: http://www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/BSR/BSR_source.tgz
[Project 16]: http://www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/biasedNcuts/
[Project 17]: http://vision.csd.uwo.ca/code/
[Project 18]: http://www.ipol.im/pub/art/2012/g-cv/
[Project 19]: http://www.cs.ubc.ca/~mitchell/ToolboxLS/index.html
[Project 20]: http://www4.comp.polyu.edu.hk/~cslzhang/RD/RD.htm
[Paper 6]: http://www4.comp.polyu.edu.hk/~cskhzhang/J_papers/ICV.pdf
[Code 14]: http://www4.comp.polyu.edu.hk/~cskhzhang/J_papers/ICV.rar
[Paper 7]: http://www4.comp.polyu.edu.hk/~cskhzhang/J_papers/ICIP10_SVMLS.pdf
[Code 15]: http://www4.comp.polyu.edu.hk/~cskhzhang/J_papers/SVMLS_v0.rar
[Project 21]: http://www.engr.uconn.edu/~cmli/
[Project 22]: http://people.csail.mit.edu/torralba/shortCourseRLOC/boosting/boosting.html
[Project 23]: http://pascal.inrialpes.fr/soft/olt/
[Project 24]: http://people.cs.uchicago.edu/~pff/latent/
[Project 25]: http://people.cs.uchicago.edu/~rbg/star-cascade/
[Project 26]: http://www.eecs.berkeley.edu/~lbourdev/poselets/
[Project 27]: http://www.vision.ee.ethz.ch/~bleibe/code/ism.html
[Project 28]: http://pr.willowgarage.com/wiki/Face_detection
[Paper 8]: http://vision.eecs.ucf.edu/papers/01512057.pdf
[Code 16]: http://vision.eecs.ucf.edu/Code/Background.zip
[Project 29]: http://www.robots.ox.ac.uk/~vgg/software/hands/
[Paper 9]: http://www.eecs.berkeley.edu/Research/Projects/CS/vision/reconstruction/BarronMalikECCV2012.pdf
[Code 17]: http://www.cs.berkeley.edu/~barron/BarronMalikECCV2012_code.zip
[Project 30]: http://people.cs.uchicago.edu/~rbg/latent/
[Project 31]: http://campar.cs.tum.edu/Main/StefanHinterstoisser
[Project 32]: http://www.ipol.im/
[Project 33]: http://www.ipol.im/pub/pre/21/
[Project 34]: http://homes.cs.washington.edu/~rahul/data/WheresWaldo.html
[Matlab code 2]: http://www.saliencytoolbox.net/
[Project 35]: http://ivrgwww.epfl.ch/supplementary_material/RK_CVPR09/index.html
[Project 36]: http://ivrg.epfl.ch/supplementary_material/RK_ICIP2010/index.html
[Matlab code 3]: http://www.cse.yorku.ca/~neil/AIM.zip
[Matlab code 4]: http://webee.technion.ac.il/labs/cgm/Computer-Graphics-Multimedia/Software/Saliency/Saliency.html
[Matlab code 5]: http://www.klab.caltech.edu/~harel/share/gbvs.php
[Matlab code 6]: http://www.klab.caltech.edu/~xhou/projects/spectralResidual/spectralresidual.html
[Matlab code 7]: http://www.cse.oulu.fi/MVG/Downloads/saliency
[Matlab code 8]: http://cseweb.ucsd.edu/~l6zhang/
[Code 18]: http://www.svcl.ucsd.edu/projects/saliency/
[Project 37]: http://people.csail.mit.edu/tjudd/WherePeopleLook/index.html
[Project 38]: http://cg.cs.tsinghua.edu.cn/people/~cmm/saliency/
[Project 39]: http://ice.dlut.edu.cn/lu/Project/TIP_scm/TIP_scm.htm
[Paper 10]: http://faculty.ucmerced.edu/mhyang/papers/cvpr12a.pdf
[Code 19]: http://faculty.ucmerced.edu/mhyang/code/top-down-saliency.zip
[Project 40]: http://people.csail.mit.edu/jjl/libpmk/
[Code 20]: http://www.cs.unc.edu/~lazebnik/research/SpatialPyramid.zip
[Project 41]: http://www.ifp.illinois.edu/~jyang29/LLC.htm
[Matlab code 9]: http://www.ifp.illinois.edu/~jyang29/codes/CVPR10-LLC.rar
[Project 42]: http://www.ifp.illinois.edu/~jyang29/ScSPM.htm
[Matlab code 10]: http://www.ifp.illinois.edu/~jyang29/codes/CVPR09-ScSPM.rar
[Project 43]: http://www.robots.ox.ac.uk/~vgg/research/texclass/index.html
[Project 44]: http://www.vision.ee.ethz.ch/~pgehler/projects/iccv09/index.html
[Code 21]: http://www.cs.unc.edu/~jtighe/Papers/ECCV10/eccv10-jtighe-code.zip
[Matlab code 11]: http://www.wisdom.weizmann.ac.il/~bagon/matlab_code/LargeScaleCC1.0.tar.gz
[Project 45]: http://www.wisdom.weizmann.ac.il/~vision/SketchTheCommon
[Project 46]: http://www.vision.caltech.edu/lihi/Demos/SelfTuningClustering.html
[Code 22]: http://www.vision.caltech.edu/lihi/Demos/SelfTuning/ZPclustering.zip
[Paper 11]: http://www.wisdom.weizmann.ac.il/~levina/papers/assisted-eccv04.pdf
[Code 23]: http://www.wisdom.weizmann.ac.il/~levina/papers/reflections.zip
[Project 47]: http://www.robots.ox.ac.uk/~vgg/research/texclass/filters.html#download
[Project 48]: http://ivrg.epfl.ch/supplementary_material/RK_SLICSuperpixels/
[Code 24]: http://people.csail.mit.edu/alevin/matting.tar.gz
[Project 49]: http://www.vision.huji.ac.il/SpectralMatting/
[Code 25]: http://www.mathworks.com/matlabcentral/fileexchange/31412
[Project 50]: http://www.ai.mit.edu/projects/vsam/Tracking/index.html
[Paper 12]: http://faculty.ucmerced.edu/mhyang/papers/tip12_pls_tracking.pdf
[Code 26]: http://faculty.ucmerced.edu/mhyang/code/PLS_tracker_tip.zip
[Paper 13]: http://faculty.ucmerced.edu/mhyang/papers/pami11b.pdf
[Code 27]: http://vision.ucsd.edu/~bbabenko/project_miltrack.shtml
[Project 51]: http://www.cise.ufl.edu/~smshahed/tracking.htm
[Project 52]: http://www.cs.toronto.edu/~dross/ivt/
[Project 53]: http://www4.comp.polyu.edu.hk/~cslzhang/CT/CT.htm
[Project 54]: http://faculty.ucmerced.edu/mhyang/project/cvpr12_scm.htm
[Project 55]: http://faculty.ucmerced.edu/mhyang/project/cvpr12_jia_project.htm
[Paper 14]: http://faculty.ucmerced.edu/mhyang/papers/wacv12a.pdf
[Code 28]: http://faculty.ucmerced.edu/mhyang/code/wacv12a_code.zip
[Project 56]: http://faculty.ucmerced.edu/mhyang/papers/iccv11a.html
[Paper 15]: http://faculty.ucmerced.edu/mhyang/papers/bmvc11a.pdf
[Code 29]: http://faculty.ucmerced.edu/mhyang/code/BMVC11-HSSL-package.zip
[Paper 16]: http://faculty.ucmerced.edu/mhyang/papers/fg11a.pdf
[Code 30]: http://faculty.ucmerced.edu/mhyang/code/fg11_omsit.zip
[Project 57]: http://c2inet.sce.ntu.edu.sg/Jianxin/
[Project 58]: http://dsp.rice.edu/cs
[Project 59]: http://www.robots.ox.ac.uk/~cbibby/index.shtml
[Project 60]: http://info.ee.surrey.ac.uk/Personal/Z.Kalal/
[OpenTLD_C_ Code]: https://github.com/arthurv/OpenTLD
[Project 61]: http://ilab.cs.ucsb.edu/index.php/component/content/article/12/29
[Project 62]: http://kinecttoolbox.codeplex.com/
[Project 63]: http://www.openni.org/
[Resource]: http://blog.csdn.net/zouxy09/article/details/8145688
[Paper 17]: http://www.wisdom.weizmann.ac.il/~ronen/papers/Simakov%20Frolova%20Basri%20-%20Dense%20Shape%20Reconstruction%20Under%20Arbitrary%20Unknown%20Lighting.pdf
[Code 31]: http://www.wisdom.weizmann.ac.il/~bagon/matlab_code/SFB_matlab1.0.tar.gz
[Code 32]: http://vision.eecs.ucf.edu/shadsrc.html
[Project 64]: http://vision.eecs.ucf.edu/combsrc.html
[Code 33]: http://vision.eecs.ucf.edu/projects/ShapeFromShading/combine.tar.Z
[Paper 18]: http://vision.eecs.ucf.edu/papers/shah/99/ZTCS99.pdf
[Code 34]: http://vision.eecs.ucf.edu/projects/ShapeFromShading/SFS_Survey_1_00.tar.gz
[Project 65]: http://lear.inrialpes.fr/people/klaeser/research_hog3d
[Code 35]: http://lear.inrialpes.fr/people/klaeser/software_3d_video_descriptor
[Paper 19]: http://www.cs.cornell.edu/~rdz/papers/kz-eccv02-recon.pdf
[Code 36]: http://pub.ist.ac.at/~vnk/software/match-v3.4.src.tar.gz
[Paper 20]: http://www.cs.ucf.edu/~vision
[Code 37]: http://www.ee.cityu.edu.hk/~syyuen/Public/SfS/PRL_Perspective_FMM.zip
[Project 66]: http://www.eecs.berkeley.edu/Research/Projects/CS/vision/reconstruction/
[Code 38]: http://faculty.ucmerced.edu/mhyang/code/PackagedTrackingCode.tar.gz
[Project 67]: http://ai.stanford.edu/~asaxena/reconstruction3d/
[Matlab class]: http://www.wisdom.weizmann.ac.il/~bagon/matlab_code/ann_wrapper_Mar2012.tar.gz
[ANN library]: http://www.cs.umd.edu/~mount/ANN/
[code]: http://www.wisdom.weizmann.ac.il/~bagon/matlab_code/weight_sample.tar.gz
[Code 39]: http://www.robots.ox.ac.uk/~vgg/software/pLSA/pLSA_demo.tgz
[Project 68]: http://www.robots.ox.ac.uk/~vgg/software/fastann/
[Project 69]: http://www.cs.berkeley.edu/~smaji/projects/fiksvm/
[Code 40]: http://osmot.cs.cornell.edu/svm_light/
[Net]: http://deeplearning.net/
[Project 70]: http://cs.nyu.edu/~fergus/tutorials/deep_learning_cvpr12/
[Project 71]: http://www.codeproject.com/KB/library/NeuralNetRecognition.aspx
[Project 72]: http://www.cs.toronto.edu/~hinton/MatlabForSciencePaper.html
[Project 73]: http://yann.lecun.com/exdb/mnist/
[Project 74]: http://www.ersatz1.com/
[Project 75]: http://www.cs.nyu.edu/~yann/research/deep/
[Project 76]: http://www.ics.forth.gr/~lourakis/sparseLM/
[Project 77]: http://www.cs.waikato.ac.nz/ml/weka/
[Video]: http://vipl.ict.ac.cn/News/academic-report-tutorial-deep-learning-dr-kai-yu
[Matlab Tool]: http://www.mathworks.cn/matlabcentral/fileexchange/24291
[Wedsite]: http://yann.lecun.com/exdb/publis/index.html#lecun-98
[Project 78]: http://yann.lecun.com/exdb/lenet/index.html
[Website]: http://www.cs.toronto.edu/~hinton/
[Project 79]: http://lear.inrialpes.fr/people/wang/dense_trajectories
[Code 41]: http://lear.inrialpes.fr/people/wang/download/dense_trajectory_release.tar.gz
[Project 80]: http://www.eecs.berkeley.edu/Research/Projects/CS/vision/shape/action/
[Paper 21]: http://www.eecs.berkeley.edu/Research/Projects/CS/vision/shape/glam-cvpr09.pdf
[Code 42]: http://www.eecs.berkeley.edu/Research/Projects/CS/vision/shape/glam_cvpr09_v2.zip
[Project 81]: http://www.vision.ee.ethz.ch/~calvin/articulated_human_pose_estimation_code/
[Paper 22]: http://faculty.ucmerced.edu/mhyang/papers/cvpr07a.pdf
[Code 43]: http://www.cise.ufl.edu/~smshahed/cvpr07_fast_human_pose.zip
[Paper 23]: http://faculty.ucmerced.edu/mhyang/papers/accv09a.pdf
[Code 44]: http://faculty.ucmerced.edu/mhyang/code/accv09_pose.zip
[Project 82]: http://www.ee.oulu.fi/~jkannala/quasidense/quasidense.html
[Prpject]: http://gesture.chalearn.org/data/sample-code
[Project 83]: http://cs.brown.edu/~pff/dt/
[Project 84]: http://www.cs.cmu.edu/~cil/vision.html
[Project 85]: http://egt.dii.unisi.it/
[Code 45]: http://egt.dii.unisi.it/download/EGT_v1p3.zip
[Project 86]: http://www.cs.stonybrook.edu/~kyamagu/mexopencv/
[Project 87]: http://leenissen.dk/fann/wp/