计算机视觉、机器学习相关领域论文和源代码大集合--持续更新……

zouxy09@qq.com http://blog.csdn.net/zouxy09

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：2013-3-17

一、特征提取Feature Extraction：

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

·         PCA-SIFT [2] [Project]

·         Affine-SIFT [3] [Project]

·         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]

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

·         GIST [11] [Project]

·         Shape Context [12] [Project]

·         Color Descriptor [13] [Project]

·         Pyramids of Histograms of Oriented Gradients [Code]

·         Space-Time Interest Points (STIP) [14][Project] [Code]

·         Boundary Preserving Dense Local Regions [15][Project]

·         Weighted Histogram[Code]

·         Histogram-based Interest Points Detectors[Paper][Code]

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

·         Fast Sparse Representation with Prototypes[Project]

·         Corner Detection [Project]

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

·         Real-time Facial Feature Detection using Conditional Regression Forests[Project]

·         Global and Efficient Self-Similarity for Object Classification and Detection[code]

·         WαSH: Weighted α-Shapes for Local Feature Detection[Project]

·         HOG[Project]

·         Online Selection of Discriminative Tracking Features[Project]

二、图像分割Image Segmentation：

·           Normalized Cut [1] [Matlab code]

·           Gerg Mori’ Superpixel code [2] [Matlab code]

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

·           Mean-Shift Image Segmentation [4] [EDISON C++ code] [Matlab wrapper]

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

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

·           Quick-Shift [7] [VLFeat]

·           SLIC Superpixels [8] [Project]

·           Segmentation by Minimum Code Length [9] [Project]

·           Biased Normalized Cut [10] [Project]

·           Segmentation Tree [11-12] [Project]

·           Entropy Rate Superpixel Segmentation [13] [Code]

·           Fast Approximate Energy Minimization via Graph Cuts[Paper][Code]

·           Efficient Planar Graph Cuts with Applications in Computer Vision[Paper][Code]

·           Isoperimetric Graph Partitioning for Image Segmentation[Paper][Code]

·           Random Walks for Image Segmentation[Paper][Code]

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

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

·           Geodesic Star Convexity for Interactive Image Segmentation[Project]

·           Contour Detection and Image Segmentation Resources[Project][Code]

·           Biased Normalized Cuts[Project]

·           Max-flow/min-cut[Project]

·           Chan-Vese Segmentation using Level Set[Project]

·           A Toolbox of Level Set Methods[Project]

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

·           Improved C-V active contour model[Paper][Code]

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

·          Level Set Method Research by Chunming Li[Project]

·          ClassCut for Unsupervised Class Segmentation[code]

·         SEEDS: Superpixels Extracted via Energy-Driven Sampling [Project][other]

三、目标检测Object Detection：

·           A simple object detector with boosting [Project]

·           INRIA Object Detection and Localization Toolkit [1] [Project]

·           Discriminatively Trained Deformable Part Models [2] [Project]

·           Cascade Object Detection with Deformable Part Models [3] [Project]

·           Poselet [4] [Project]

·           Implicit Shape Model [5] [Project]

·           Viola and Jones’s Face Detection [6] [Project]

·           Bayesian Modelling of Dyanmic Scenes for Object Detection[Paper][Code]

·           Hand detection using multiple proposals[Project]

·           Color Constancy, Intrinsic Images, and Shape Estimation[Paper][Code]

·           Discriminatively trained deformable part models[Project]

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

·           Image Processing On Line[Project]

·           Robust Optical Flow Estimation[Project]

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

·           Scalable Multi-class Object Detection[Project]

·           Class-Specific Hough Forests for Object Detection[Project]

·         Deformed Lattice Detection In Real-World Images[Project]

·         Discriminatively trained deformable part models[Project]

四、显著性检测Saliency Detection：

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

·           Frequency-tuned salient region detection [2] [Project]

·           Saliency detection using maximum symmetric surround [3] [Project]

·           Attention via Information Maximization [4] [Matlab code]

·           Context-aware saliency detection [5] [Matlab code]

·           Graph-based visual saliency [6] [Matlab code]

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

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

·           Saliency Using Natural statistics. [9] [Matlab code]

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

·           Learning to Predict Where Humans Look [11] [Project]

·           Global Contrast based Salient Region Detection [12] [Project]

·           Bayesian Saliency via Low and Mid Level Cues[Project]

·           Top-Down Visual Saliency via Joint CRF and Dictionary Learning[Paper][Code]

·         Saliency Detection: A Spectral Residual Approach[Code]

五、图像分类、聚类Image Classification, Clustering

·           Pyramid Match [1] [Project]

·           Spatial Pyramid Matching [2] [Code]

·           Locality-constrained Linear Coding [3] [Project] [Matlab code]

·           Sparse Coding [4] [Project] [Matlab code]

·           Texture Classification [5] [Project]

·           Multiple Kernels for Image Classification [6] [Project]

·           Feature Combination [7] [Project]

·           SuperParsing [Code]

·           Large Scale Correlation Clustering Optimization[Matlab code]

·           Detecting and Sketching the Common[Project]

·           Self-Tuning Spectral Clustering[Project][Code]

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

·           Filters for Texture Classification[Project]

·           Multiple Kernel Learning for Image Classification[Project]

·          SLIC Superpixels[Project]

六、抠图Image Matting

·           A Closed Form Solution to Natural Image Matting [Code]

·           Spectral Matting [Project]

·           Learning-based Matting [Code]

 

七、目标跟踪Object Tracking：

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

·           Object Tracking via Partial Least Squares Analysis[Paper][Code]

·           Robust Object Tracking with Online Multiple Instance Learning[Paper][Code]

·           Online Visual Tracking with Histograms and Articulating Blocks[Project]

·           Incremental Learning for Robust Visual Tracking[Project]

·           Real-time Compressive Tracking[Project]

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

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

·           Online Discriminative Object Tracking with Local Sparse Representation[Paper][Code]

·           Superpixel Tracking[Project]

·           Learning Hierarchical Image Representation with Sparsity, Saliency and Locality[Paper][Code]

·           Online Multiple Support Instance Tracking [Paper][Code]

·           Visual Tracking with Online Multiple Instance Learning[Project]

·           Object detection and recognition[Project]

·           Compressive Sensing Resources[Project]

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

·           Tracking-Learning-Detection[Project][OpenTLD/C++ Code]

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

·           Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities[Project]

八、Kinect：

·           Kinect toolbox[Project]

·           OpenNI[Project]

·           zouxy09 CSDN Blog[Resource]

·           FingerTracker 手指跟踪[code]

九、3D相关：

·           3D Reconstruction of a Moving Object[Paper] [Code]

·           Shape From Shading Using Linear Approximation[Code]

·           Combining Shape from Shading and Stereo Depth Maps[Project][Code]

·           Shape from Shading: A Survey[Paper][Code]

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

·           Multi-camera Scene Reconstruction via Graph Cuts[Paper][Code]

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

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

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

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

十、机器学习算法：

·           Matlab class for computing Approximate Nearest Nieghbor (ANN) [Matlab class providing interface toANN library]

·           Random Sampling[code]

·           Probabilistic Latent Semantic Analysis (pLSA)[Code]

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

·           Fast Intersection / Additive Kernel SVMs[Project]

·           SVM[Code]

·           Ensemble learning[Project]

·           Deep Learning[Net]

·           Deep Learning Methods for Vision[Project]

·           Neural Network for Recognition of Handwritten Digits[Project]

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

·          THE MNIST DATABASE of handwritten digits[Project]

·          Ersatz：deep neural networks in the cloud[Project]

·          Deep Learning [Project]

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

·          Weka 3: Data Mining Software in Java[Project]

·          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]

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

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

·         Multiple Instance Logistic Discriminant-based Metric Learning (MildML) and Logistic Discriminant-based Metric Learning (LDML)[Code]

·         Sparse coding simulation software[Project]

·         Visual Recognition and Machine Learning Summer School[Software]

 

十一、目标、行为识别Object, Action Recognition：

·           Action Recognition by Dense Trajectories[Project][Code]

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

·           Recognition Using Regions[Paper][Code]

·           2D Articulated Human Pose Estimation[Project]

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

·           Estimating Human Pose from Occluded Images[Paper][Code]

·           Quasi-dense wide baseline matching[Project]

·           ChaLearn Gesture Challenge: Principal motion: PCA-based reconstruction of motion histograms[Project]

·           Real Time Head Pose Estimation with Random Regression Forests[Project]

·           2D Action Recognition Serves 3D Human Pose Estimation[Project]

·           A Hough Transform-Based Voting Framework for Action Recognition[Project]

·           Motion Interchange Patterns for Action Recognition in Unconstrained Videos[Project]

·         2D articulated human pose estimation software[Project]

·         Learning and detecting shape models [code]

·         Progressive Search Space Reduction for Human Pose Estimation[Project]

·         Learning Non-Rigid 3D Shape from 2D Motion[Project]

十二、图像处理：

·         Distance Transforms of Sampled Functions[Project]

·         The Computer Vision Homepage[Project]

·         Efficient appearance distances between windows[code]

·         Image Exploration algorithm[code]

·         Motion Magnification 运动放大 [Project]

·         Bilateral Filtering for Gray and Color Images 双边滤波器 [Project]

·         A Fast Approximation of the Bilateral Filter using a Signal Processing Approach [Project]

                  

十三、一些实用工具：

·           EGT: a Toolbox for Multiple View Geometry and Visual Servoing[Project] [Code]

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

·           Fast Artificial Neural Network Library[Project]

十四、人手及指尖检测与识别：

finger-detection-and-gesture-recognition [Code]

Hand and Finger Detection using JavaCV[Project]

Hand and fingers detection[Code]

十五、场景解释：

Nonparametric Scene Parsing via Label Transfer [Project]

十六、光流Optical flow：

High accuracy optical flow using a theory for warping [Project]

Dense Trajectories Video Description [Project]

SIFT Flow: Dense Correspondence across Scenes and its Applications[Project]

KLT: An Implementation of the Kanade-Lucas-Tomasi Feature Tracker [Project]

Tracking Cars Using Optical Flow[Project]

Secrets of optical flow estimation and their principles[Project]

·         implmentation of the Black and Anandan dense optical flow method[Project]

·         Optical Flow Computation[Project]

·         Beyond Pixels: Exploring New Representations and Applications for Motion Analysis[Project]

·         A Database and Evaluation Methodology for Optical Flow[Project]

·         optical flow relative[Project]

·         Robust Optical Flow Estimation [Project]

·         optical flow[Project]

十七、图像检索Image Retrieval：

Semi-Supervised Distance Metric Learning for Collaborative Image Retrieval [Paper][code]

十八、马尔科夫随机场Markov Random Fields：

Markov Random Fields for Super-Resolution [Project]

A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors [Project]

十九、运动检测Motion detection：

·         Moving Object Extraction, Using Models or Analysis of Regions [Project]

·         Background Subtraction: Experiments and Improvements for ViBe [Project]

·         A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications [Project]

·         changedetection.net: A new change detection benchmark dataset[Project]

·         ViBe - a powerful technique for background detection and subtraction in video sequences[Project]

·         Background Subtraction Program[Project]

·         Motion Detection Algorithms[Project]

·         Stuttgart Artificial Background Subtraction Dataset[Project]

·         Object Detection, Motion Estimation, and Tracking[Project]

============================================================================================

下述信息来源于中科院自动化所网站

http://www.sigvc.org/why/resource.htm

People (Currently related to me, but NOT ALL, ref. [Hongbo Fu's link]):

Current：

	Hao Li
	Michael Wand
	Daniel Vlasic
	Cedric Cagniart
	Juergen Gall
	Jonathan Starck
	Andriy Myronenko
	Radu Patrice HORAUD
	Dragomir Anguelov (Drago)
	Qi-xing Huang
	Will Chang
	Misha Kazhdan codes
	Niloy J. Mitra
	Ruigang Yang
	pointclouds库
	pascal fua
	Ryan Schmidt (图形学源码)
	Daniel Sýkora（卡通）
	Mingtian Zhao（卡通）
	Tai-Pang Wu(照片立体重建)
	Xuejin Chen (科大)
	Vladlen Koltun (NIPS/Siggraph)
	Point cloud library, blog,blog2,
	liu ce(视觉，视频运动代码)
	Le Fang（北航），Ronald Fedkiw（Stanford）
	Iain Matthews (AAM)
	Vladimir G. Kim (形状对应,princeton)
	Lorenzo Torresani (NIPS) code
	Nils Hasler (统计人体模型)
	Alexandru Balan （三维人体from图片）
	Marcel Germann (运动场multiview三维显示)
	Voicu Popescu
	FaceAPI
	AAM, AAM2

　US：

	Raif M. Rustamov
	Ronald Fedkiw,
	Leo Guibas,
	Pat Hanrahan,
	Marc Levoy@Stanford,
	Zoran Popović, （运动捕捉）
	Steven M. Seitz,
	Brian Curless,
	David H. Salesin@Washington,
	Sara McMains,
	David A. Forsyth,
	James F. O'Brien,
	Brian A. Barsky,
	Carlo H. Séquin,
	Jonathan Shewchuk,
	Martin Isenburg,
	Maneesh Agrawala@Berkeley,
	Hugues Hoppe, （网格渐进压缩）
	Ross T. Whitaker
	Charles Loop,
	Jim Blinn,
	Michael Cohen,
	Richard Szeliski@Microsoft,
	Levent Burak Kara,
	Kenji Shimada,
	Jessica K. Hodgins@CMU,
	Ken Perlin,
	Denis Zorin@NYU,
	Alan H. Barr,
	Mathieu Desbrun, （微分几何）
	Peter Schröder,
	Yiying Tong@CalTech, （DEC）
	Lexing Ying@UTexas,
	Frédo Durand (Bookmarks),
	Anat Levin,
	Sylvain Paris,
	Jovan Popović@MIT, （动画）
	Anil N. Hirani, （DEC）
	Yizhou Yu, （形变）
	Michael Garland, （网格简化、处理）
	John C. Hart@UIUC,
	Eitan Grinspun,
	Shree K. Nayar, (视觉图形渲染)
	Ravi Ramamoorthi@Columbia,
	Szymon Rusinkiewicz,
	Adam Finkelstein,
	Thomas A. Funkhouser@Princeton,
	Steven J. Gortler@Harvard,
	Henry Fuchs,
	Dinesh Manocha UNC,
	Ming C. Lin@UNC,
	Ken Joy,
	Bernd Hamann,
	Nina Amenta,
	Kwan-Liu Ma@UC Davis,
	Arie Kaufman,
	Xianfeng Gu,（几何处理，Conformal Structure ，General Purpose Mesh Library）
	Hong Qin@SunySB, （几何处理）
	Henrik Wann Jensen,
	Matthias Zwicker@UCSD,
	Doug DeCarlo@Rutgers,
	David H. Laidlaw,
	Andy van Dam,
	Gabriel Taubin,
	John F. Hughes@Brown,
	Scott Schaefer,
	Ron Goldman,
	Joe Warren@Rice,
	Jorg Peters@UFL,
	Irfan Essa,
	Peter J. Mucha,
	Jarek Rossignac,
	Greg Turk@GaTech,
	Jonathan D. Cohen,
	Michael Kazhdan@JHU,
	Cindy Grimm, （参数化）
	Tao Ju@WUSTL, （几何处理）
	Ilya Eckstein（几何流，变分）
	Claudio Silva@Utah,
	Tamal K. Dey@Ohio State,
	Wojciech Matusik,
	Ramesh Raskar,
	Hanspeter Pfister@Merl,
	Jos Stam@Autodesk,
	Ulrich Neumann,
	Paul Debevec@USC,
	Karuhiro Saitou,
	Lee Markosian,
	Igor Guskov@Umich, （DGP）
	Normann I. Badler @Upenn,
	Valerio Pascucci,
	Peter Lindstrom@LLNL,
	Fuhua (Frank) Cheng@Kentucky,
	Baoquan Chen@UMN,
	Ioana Boier-Martin@IBM,
	Herbert Edelsbrunner@Duke,
	Andrei Khodakovsky@nVidia,
	Vadim Shapiro,
	Michael Gleicher@Wisconsin,
	David Ebert @Purdue,
	Gopi Meenakshisundaram@UCI,
	Tomas Sederberg@Brigham Young Univ.,
	Doug L. James@Cornell,
	Petros Faloutsos,
	Demetri Terzopoulos@UCLA,
	Chandrajit Bajaj,
	Okan Arikan@Texas,
	Amitabh Varshney@Maryland,
	Julie Dorsey@Yale,
	Rui Wang@UMass
	Carsten Rother（图像纹理）
	Haibin Ling（视觉图像）
	John Schreiner （参数化、remesh；surface triangulation源码）
	Dr. Benedict J. Brown（几何匹配，文化遗产保护，源码和博士论文）
	Song-Chun Zhu（视觉，统计，Markov Chain Monte Carlo for Computer Vision ICCV05教程）
	Ross T. Whitaker（可视化、图像，视觉）
	Zhengyou Zhang
	Stéphane Mallat（小波）
	Yingnian Wu（UCLA统计）
	Tim Cootes（AAM，ASM）
	David Lowe（Sift）
	Jinxiang Chai
	Michael M. Bronstein (CG & CV)
	Jean-Yves Bouguet （标定，重建）

Germany：

	Alexander G. Belyaev,
	Zachi Karni,
	Rhaleb Zayer, （DGP）
	Hans-Peter Seidel@MPI,
	Leif Kobbelt@RWTH, （大组）
	Olga Sorkine, （几何处理）
	Marc Alexa@TU Berlin,
	Konrad Polthier@FU Berlin,
	Stefan Gumhold@TU dresden,
	Hans-Christian Hege@ZIB,
	Kai Hormann@TU Clausthal（参数化）
	Volker Blanz（morphing model）
	Holger Theisel （可视化、图形学结合）
	Daniel Weiskopf （可视化）

Canada：

	Vladislav Kraevoy, （DGP）
	Alla Sheffa,
	Dinesh K. Pai@UBC,
	Aaron Hertzmann,
	Karan Singh,
	Eugene Fiume@Toronto,
	Hao Zhang@SFU, @Waterloo （谱分析，DGP课程）
	Oliver Matias van Kaick（谱方法，压缩）
	Martin Reuter (谱方法，MIT)

UK：

	Frank Langbein,
	Ralph R. Martin@Cardiff,
	Jiang J Zhang@Bournemouth,
	Alan Chalmers@Bristol,
	Neil Dodgson,
	Peter Robinson@Cambridge
	Vladimir Kolmogorov （graphcut，Markov Random Fields (MRFs)，courses）
	Edwin Hancock（图论统计视觉）
	Christopher M. Bishop

China Mainland：

	Hongxin Zhang, （数学课程）
	雍俊海
	Ligang Liu, （刘利刚）
	潘春洪
	Xiaogang Jin,
	Guoping Wang, 北大软件研究所
	Xinguo Liu,
	Wei Chen,
	Jiaoying Shi,
	Qunsheng Peng,
	王文成
	Hujun Bao@ZJU,
	Shimin Hu@tsinghua,
	雍俊海
	Kun Zhou, 浙大，blog
	Xin Tong, （渲染）
	Jian Sun,
	Stephen Lin,
	Baining Guo,
	Heung-Yeung Shum@MSRA,
	Hongbin Zha@PKU,
	Falai Chen@USTC
	陈宝权（深圳研究院，可视化，三维扫描）
	郭延文（图像纹理）
	章国锋（浙大，视频视觉处理）
	Wei Chen（图像，可视化，有PDE和游戏的课程）
	胡事民
	Liefeng Bo（西电，机器学习，SVM代码）
	Haifeng Gong
	Gang ZENG
	Yong Liu （蒋田仔医学图象）
	刘青山
	林倞

Taiwan：

Tong-Yee Lee@ncku

Hong Kong：

	Chiew-Lan Tai,
	Long Quan,
	Chi-Keung Tang,
	Huamin Qu,
	Philip Fu,
	Albert CHUNG,
	Pedro Sander,
	Kai Tang@HKUST,
	Wenping Wang@HKU, （CAD）
	Charlie C.L. Wang,
	Jiaya Jia,
	Tien-Tsin Wong, （渲染）
	Heng Pheng-Ann@CUHK, ???@CityU,
	BACIU Georgei@PolyU
	Dr. Kenneth K.Y. Wong(视觉建模)
	Hongbo Fu
	Oscar Kin-Chung Au（形变建模）
	Tai-Pang WU（图像视觉）
	Horace Ip Ho-shing

Macao：

Enhua Wu@UMac

Israel：

	Yaron Lipman, （微分几何建模）
	Daniel Cohen-Or, （几何处理，大组）
	David Levin@Tel Aviv,
	Craig Gotsman,
	Gill Barequet,
	Gershon Elber,
	Ron Kimmel,
	Ayellet Tal@Technion,
	Dani Lischinski@HUJI
	Andrei Sharf（几何建模，修复）
	Sagi Katz （网格分割）
	Nir Sochen (CV Beltrami)

Austria：

	Helmut Pottmann, （几何）
	Qixing Huang,
	Michael Hofer,
	Andreas Asperl,
	Martin Peternell,
	Johannes Wallner,
	Werner Purgathofer@TU Wien,
	Bert Jüttler@JKU
	Dr. AJMAL S. MIAN（视觉建模）
	Liang Wang

Japan：

	Tomoyuki Nishita,
	Takashi Kanai,
	Takeo Igarashi@Toyko, （sketch）
	Yutaka Ohtake@RIKEN
	Kenichi Kanatani （射影几何代码）
	Andrew Nealen （sketch）

Korea：

	Myung-Soo Kim,
	Hyeong-Seok Ko@Seoul,
	Sung Yong Shin@KAIST
	Yunjin Lee（分割）

Singapore：

	Michael Brown@NTU,
	Tan Tiow Seng,
	Zhiyong Huang,
	Chionh Eng Wee@NUS
	Shuicheng Yan（视觉机器学习）
	谭平（视觉建模）

发Science paper的人：Josh Tenenbaum （MIT）； Tomaso Poggio（MIT）