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Computer Vision Resource Advances in Neural Information Processing Systems(NIPS) Computer Vision Papers By Topic Top
Michal Irani(Weizmann Institute of Sciense) Eli Shechtman(Weizmann Institute of Sciense) Oren Boiman(Weizmann Institute of Sciense) Michael Elad(Technion-israel institute of Technology) Anat Levin(MIT) Lior Wolf(Tel Aviv University) Rob Fergus(MIT) J.S.Marron(UNC) Charles Kervrann(IRISA,France) Ron Kimmel(Technion-israel institute of Technology) Gunnar Farneback(Harvard Medical School) Cei Liu(MIT CSAIL) David Tschumperle Michael Unser(EPFL) Fei Fei(Prinston) Dina Katabi(MIT) Aude Oliva(MIT) Swinder(MicroSoft Interactive Visual Media) Paul Viola(MicroSoft) Sylvain Paris(Adobe System) Andrea Frome(UC Berkeley) Kristen Grauman(Texas Austin) ponce (UIUC vision group) Steven Seitz (CS Washington University) Matthias Franz, Dr (MPI for Biological Cybernetics) Vincent Lepetit (EPFL) Trevor Darrell (UC Berkeley EECS) Fernando De la Torre(CMU) Maya Gupta(Washington University) Marco Loog(Image Group, Denmark) David R. Hardoon Cordelia Schmid (INRIA Research Director) Yan Ke (CMU) David Lowe (UBC) Martial Hebert (CMU) Antonio Torralba (MIT) SVETLANA LAZEBNIK(UNC) Daphna Weinshall(Hebrew University) Simon Baker(Microsoft) Alex & Michael Bronstein (Novafora) Hayit Greenspan (Tel Aviv Univ) Bastian Leibe (ETH Zurich) Mark Everingham (University of Leeds) John Winn (Microsoft Cambridge) Christoph Lampert (Max-Planck-Institute for Biological Cybernetics) Daniel Huttenlocher (Cornell) Larry S. Davis (Maryland) Marcin Marszalek(INRIA) ~~> Object Detection Pedro F. Felzenszwalb(University of Chicago) ~~> Object Detection Ivan Laptev (INRIA) ~~> Space-Time Interest Points, Human Action dataset Jamie Shotton (Toshiba) ~~> TextonBoost, Contour fragment Thomas Deselaers (RWTH Aachen University) ~~> Image Retrieval Alexei (Alyosha) Efros(CMU) ~~> estimating geographic information from a single image Yair Weiss (The Hebrew University of Jerusalem ) ~~> Human and machine vision. Machine Learning. Frederic Jurie's Home Page (CNRS Researcher ) ~~> Object Category Recognition Dr. Vittorio Ferrari (Oxford) ~~> Human Pose Estimation Greg Shakhnarovich (Toyota Technological Institute at Chicago) ~~> : Learning Task-Specific Similarity Tom Yeh (MIT) ~~> Photo-based Question Answering, Bryan C. Russell (INRIA WILLOW Team) ~~>LableMe (MIT) Edmond BOYER (INRIA ) ~~> Action Recognition Chris Williams (University of Edinburgh ) ~~> Object Recognition David Cristinacce (University of Manchester ) ~~> AAM/ Nice Software Links Donald Geman (Johns Hopkins University ) ~~>cat detection,cancer detection David Forsyth (UIUC) ~~> Computer Vision James M. Rehg (gatech) ~~> On the Design of Cascades of Boosted Ensembles for Face Detection Rahul Sukthankar (CMU) ~~> Object Category Recognition, Event Detection Derek Hoiem (CMU) ~~> Recovering Occlusion Boundaries from a Single Image Yali Amit (University of Chicago) ~~> Image Analysis:Object Detection and Recognition Theo Gevers (University of Amsterdam) ~~> Emotion recognition Saad Ali (University of Central Florida) ~~> Crowd Scene Analysis Haibin Ling's Research Links John Platt (Micro Soft) ~~> Research: Productivity tools based on machine learning Piotr Indyk (MIT) ~~> Research: Locality Sensitive Hashing Manik Varma (Micro Soft) ~~> Research: Object Class Category Classification and Detection Evgeniy Bart (Caltech) ~~> Research: Class-based feature matching across unrestricted transformations Yun Fu (UIUC) ~~> Research: Correlation Metric for Generalized Feature Extraction Chengjun Liu (NJIT) ~~> Research: Face Recognition/ Face Detection Haesun Park (GIT) ~~> Research: Kernel-based Nonlinear Dimension Reduction Methods Wu, Jianxin (GIT) ~~> Research: Face Detection, Place Recognition Jen-Mei Chang (Colorado State) ~~> Research: Analysis of High Dimensional Data Sets Jian Sun (Microsoft Aisa) ~~> Research: Image super-resoultion/ deblurring and Object Detection Andrew Y. Ng(Stanford) ~~> Research: Machine learning, Zhuowen Tu'(UCLA) ~~> Research: Auto-context and Its application to High-level Vision Tasks, Ming-Hsuan Yang(UC Merced) ~~> Research: Object detection, Shuicheng Yan (National University of Singapore) ~~> Research: Machine Learning/ video action, Huazhong Ning (UIUC) ~~> Research: Video Action detection, FATIH PORIKLI (MERL) ~~> Research: Object detection and tracking Tao (Tony) XIANG(Queen Mary, University of London) ~~> Research: behavior and anomaly detection IMRAN N JUNEJO (University of Central Florida) ~~> Research: Action Recognition Konrad Schindler (ETH) ~~> Research: Action Recognition Pingkun Yan(University of Central Florida) ~~> Research: Action Recognition Adrian Barbu (Florida State University) ~~> Research: Medical Image Problems Abhinav Gupta (University of Maryland) ~~> Research: Exploring synergy between language and vision for learning semantic mode Geremy Heitz (Stanford University) ~~> Research: Learning Spatial Context: Using Stuff to Find Things Yuanjie Zheng (University of Pennsylvania)) ~~> Research: Medical Image Stefan Roth (TU Darmstat) ~~> Research: Learning Optical Flow Todd Zickler (harvard University) ~~> Research: Color consistency Miguel Á. Carreira-Perpiñán (UC Merced) ~~> Research: Dimensional reduction Jason J. Corso (SUNY Buffalo) ~~> Research: Medical Image, segementation Shiguang Shan (ICT-ISV) ~~> Research: Face Recognition Chi Keung Tang (Hong Kong University of Science and Technology) ~~> Research: Tensor Voting, video denoising Gerard G. Medioni (USC) ~~> Research: Robotics and intelligent systems Sinisa Todorovic(Oregon State Universtity) ~~> Research: Learning Subcategory Relevances for Category Recognition Koen van de Sande(University of Amsterdam) ~~> Research: Color Descriptors for Object and Scene Recognition James Hays(CMU) ~~> Research: A Unified Approach for Detection, Classification and Segmentation Guo-Jun Qi(University of Science and Technology of China) ~~> Research: 2D active learning for image classification Xiaofeng Ren(Toyota Technological Institute at Chicago) ~~> Research: Mid-level vision Xiaoming Liu(GE global Research) ~~> Research:Face, Body alignment Alireza Fathi(GIT) ~~> Research: Action Recognition XIAOXU MA(MIT) ~~> Research: Object Recognition Arslan Basharat (UCF) ~~> Research: Learning Scene Model from Surveillance Videos Joost van de Weijer(Computer Vision Center in Barcelona) ~~> Research: Color in computer vision Anna Bosch Rué (University of Girona) ~~> Research: Learning methods / Scene and Object Classification Andrew Gallagher(CMU) ~~> Research: Using Context to Recognize People in Consumer Images Mor Naaman (Rutgers University) ~~> Research: Leveraging Context to Resolve Identity in Photo Albums Kenji Suzuki (University of Chicago) ~~> Research: Medical Imaging, Radiology Christos Davatzikos(Upenn) ~~> Research: Medical Imaging, Radiology Jean-paul ARMSPACH(LSIIT,France) ~~> Research: Automated change detection in medical image Michael (Miki) Rubinstein(Tel-Aviv University) ~~> Research: Improved Seam Carving for Video Retargeting Devi Parikh (CMU) ~~> Research: Low-level Contextual Patch Saliency Bernd Girod (Stanford) ~~> Research: Low-level Contextual Patch Saliency Jianbo Shi (UPenn) ~~> Research: Image Segmentation and Object Recognition Yuan Li (USC) ~~> Research: Finding Objects in Spatio-Temporal Context Ofir Pele (Hebrew University of Jerusalem ) ~~> Research: A Linear Time Histogram Metric for Improved SIFT Matching Albert C. S. Chung
(Hong kong University) ~~> Research: A Linear Time Histogram Metric for Improved SIFT Matching James Z. Wang (PSU) ~~> Research: Media Annotation, Art and Cultural Imaging Jia Li (PSU) ~~> Research: Media Annotation, Art and Cultural Imaging Andrew Rabinovich (UCSD) ~~> Research: Objects in context Silvio Savarese (Univ of Michigan) ~~> Research: 3D generic object categorization, localization and pose estimation Iasonas Kokkinos (Ecole Centrale Paris) ~~> Research: Combination of Bottom-Up and Top-Down Processes for Computer Vision Hou, Xiaodi(Cal tech ) ~~> Research: computational modeling of the visual perception of human Chenlei Guo(Fudan Univ) ~~> Research: computational modeling of the visual perception of human Dirk B. Walther(UIUC) ~~> Research: Visual attention Yaser Ajmal Sheikh(CMU) ~~> Research: Background Modeling in Dynamic Scenes Christian Siagian(USC) ~~> Research: Biologically-Inspired Vision Jonathan Harel(Caltech) ~~> Research: Graph-Based Visual Saliency John K. Tsotsos(York University) ~~> Research: The Selective Tuning Model of Visual Attention Xiaogang Wang(MIT) ~~> Research: Unsupervised Activity Perception by Hierarchical Bayesian Model Jan-Mark Geusebroek(Amsterdam) ~~> Research: colorSIFT Eugene(MIT) ~~> Research: Light Mixture Estimation for Spatially Varying White Balance W. Einhäuser(Philipps Universität Marburg ) ~~> Research: Attention in Natural Scenes Rob Peters(USC) ~~> Research: visual attention in environments Patrick Le Callet(Polytech'Nantes Université de Nantes) ~~> Research: Image Quality Assessment, Visual Attension Garrison W. Cottrell (UCSD) ~~> Research: Saliency Lingyun Zhang (UCSD) ~~> Research: Saliency John Wright (UIUC) ~~> Research: Face recognition via Sparse representation Yi ma (UIUC) ~~> Research: Face recognition via Sparse representation Rich (Surrey) ~~> Research:Spatio-Temporal Feature Recognition using Randomised Ferns Michal Perdoch (Czech Technical University) ~~> Research:Large-scale object retrieval Changhu Wang (MS asia) ~~> Research:Multi-Label Sparse Coding for Automatic Image Annotation, Ying Wu(NorthWestern) ~~> Research:Action Detection, Image deblur Ying Vikas Singh.(University of Wisconsin-Madison) ~~> Research:biomedical image analysis, computer vision, and some aspects of machine learning. Nikos Komodakis (Ecole Centrale de Paris) ~~> Research: optimization of discrete Markov Random Fields (MRFs) based on the Primal-Dual schema Carsten Rother(MS) ~~> Research: Segmentation Richard Szeliski(MS) ~~> Research: Interactive Visual Media Group at Microsoft Research Richard Roberts(GIT) ~~> Research: Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies Zhangzhang Si(UCLA) ~~> Research: Learning mixed image templates for object recognition Guodong Guo(Wisconsin) ~~> Research: Human age estimation Patrick Peursum (Curtin University of Technology) ~~> Research: Efficient Algorithms for Subwindow Search in Object Detection and Localization Li Zhang(University of Wisconsin-Madison) ~~> Research: Stereo Matching with Nonparametric Smoothness Priors in Feature Space/What is a Good Nearest Neighbors Algorithm for Finding Similar Patches in Image Subhransu Maji(UC Berkeley) ~~> Research: A max-margin Hough Tranform for Object Detection Shenghuo Zhu(NEC) ~~> Research: Resolution-invariant image representation and its applications Amit Agrawal (MERL) ~~> Research: Optimal Single Image Capture for Motion Deblurring Dai, Shengyang (North western) ~~> Research: Removing Partial Blur in a Single Image Raanan Fattal (Hebrew University) ~~> Research: Edge-Avoiding Wavelets and their Applications/Single Image Dehazing, Neil Bruce (Inria) ~~> Research: Saliency Detecdtion AYELLET TAL (Technion-IIT) ~~> Research: Mesh analysis Andriy Myronenko (Oregon Health & Science University (OHSU) Here.) ~~> Research: rigid/affine registration Gang Hua (Microsoft Live Labs) ~~> Research: computer vision julien miral (INRIA) ~~> Research: Sparse coding for image restoration Aniruddha Kembhavi (UMD) ~~> Research: Object Detection Oliver Woodford (Oxford) ~~> Research: Global Stereo Reconstruction J.-P. Tarel(INRIA) ~~> Research: Fast Visibility Restoration from a Single Color or Gray Level Image Micah Kimo Johnson (MIT) ~~> Research: Image restoration using online photo collections Peter Wonka's Publications (ASU) ~~> Research: Tensor Completion for Estimating Missing Values in Visual Data Jingen Liu (UCF) ~~> Research: Action Recognition Jianxin Wu (GIT) ~~> Research: Place recogntion Kai Yu (NEC) ~~> Research: Object Recognition Dani Lischinski(The Hebrew University of Jerusalem) ~~> Research: Coordinates for instant image cloning. Ravi Ramamoorthi (UC Berkely) ~~> Research: Computer Graphics Aleš Leonardis (University of Ljubljana, Sloveina) ~~> Research: Learning a Hierarchical Compositional Shape Vocabulary
for Multi-class Object Representation Matthew B. Blaschko, Oxford University ~~> Research: Object Localization Joachim Weickert, Saarland University, Germany (Mathematical Image Analysis Group) ~~> Research: Structure tensor Bill Press, Texas, Austin ~~> Research: Computational statistics Brad Efron, Stanford ~~> Research: biostatistics Sam Hasinoff, MIT ~~> Research: Computational photography Kilian Q. Weinberger, University of Washington ~~> Research: Machine learning Peter Hall (University of Bath,UK) Stefan HinterstoiBer (University of Munchen) Hanunant Singh ( Woods Hole Oceanographic Institution ) Larry zitnick (MSR ) Top
Microsoft Computer vision Adobe Advanced Technology Lab Multimedia Lab(Hongkong) SFU vision Lab(canada) Columbia Computer Vision Lab(CAVE) UCF vision Lab Visual Geometry Group (Oxford) The PASCAL Visual Object Classes Challenge (2008) Caltech Challenge (2007) THE EDINBURGH MACHINE LEARNING GROUP Computer Vision Laboratory (ETH Zurich ) Computer Vision Laboratory (Univeristy of LEEDS) Statistical Visual Computing Laboratory (UCSD) LEAR - Learning and Recognition in Vision (France) MITSUBISHI Electric Research Lab Center for Biological & Computational Learning Lab (MIT) Center for Machine Perception UCLA VISION LAB Center for Automation Research (UMD) Computational Visual Cognition Laboratory (MIT) Visual Neuro Cognition Lab(Harvard) Advanced Multimedia Processing Lab (CMU) USF Vision Lab RIU Lab (Rutgers University) Cetner fro Vision Research(york University) Computational Vison Lab (UC Irvine) TREC Video Retrieval Evaluation Stanford AI lab UPENN Image Computing & Science Lab GRAIL, the Graphics and Imaging Laboratory (University of Washington) GRASP(University of Pennsylvania ) Center for Image and Vision Science (UCLA) Intelligent Systems Lab Amsterdam Visual Attention Lab (Harvard) Nicolas Pinto (MIT) Top
OSU/SAMPL Database: Range Images, 3D Models, Stills, Motion Sequences Institut fur Algorithmen und Kognitive Systeme: Image Sequence Server CMU VASC Motion data The Multiple-Camera/Multiple-Video Database of the PERCEPTION group Motion Sequence Images OTCBVS Benchmark Dataset Collection Michael J.Black(Image Sequences) KTH Action Database UCSD mice Database Wiezmann Database Caltech computational Vison Database YUV video files YUV video files 1 Lena Full Image Oxford Visual Geometry Group MIT Lable me Face Detection Page CMU car detection Endoscopic images Purdue RVL Specularity Database The PASCAL Visual Object Classes Challenge 2007 Face Recognition Homepage Object Recognition DataSet(ETH zurich) INRIA Person Dataset Face Dataset (MPI Germany) Israel Images Dataset (UMASS) Datasets for Computer Vision (UIUC Ponce Group) MIT face Datasets (MIT) Graz-02 Database Harvesting Image Databases from the web 4DMRI (ETH) Hollywood Human Actions (HOHA) dataset/ VOC Object Detection Results (INRIA) FamousLandmark Dataset IMAGE DATABASE AT THE JOHNS HOPKINS CIS 80 Million Tiny Images UIUC car detection The PASCAL Object Recognition Database Collection THE UCD COLOUR FACE IMAGE DATABASE FOR FACE DETECTION
DOWNLOAD PAGE The University of Oulu Face Video Database Getty Image Next Generation Simulation (NGSIM) Action Dataset (UMD) IXMAS Action Dataset (INRIA) Action Classes (SFU) Human Gait dataset (USF) Surveillance Performance EValuation Initiative (SPEVI) Vision Lab (York University) - Image Sequence Database Texture and animal dataset (OSU) SCI Institute Software and Data(Utah) HD Video dataset MIT CBCL dataset Penn-Fudan Database for Pedestrian Detection and Segmentation PETS 2006 Benchmark Data Video Dataset for Occlusion/Object Boundary Detection (CMU) Paul Ekman's RESEARCH IMAGE SET (UCSF) SIVAL Image Repository SIVAL Image Repository Abnormal Action (UMN) GENKI face dataset (UCSD) Segmentation evaluation database(Weizmann) Image-Net Povray A Dataset for Egocentric Recognition of Handled Objects (Intel Labs at Seatle) Berkely Segmentation dataset Benchmark (UC Berkely) Berkely Segmentation dataset Benchmark (UC Berkely) Visible Human Project® Gallery (NIH) Optical Flow Evaluation Datasets CalPhotos: a collection of 229,278 photos of plants,animals,fossils,people,and landscape Imagenet Large Scale Visual Recognition Challenge 2010 (ILSVRC2010) Flickr portrait collection Eye tracking data MSR Action Data Set UCF-Lockheed-Martin UAV Dataset(Aerial) Gatech Social Game UIUC action dataset VIRAT actiondataset HDR images Top
Mathwork Technotes Matlab array manipulation tips and tricks Some useful Matlab tips Some useful Matlab tips matlab tips and tricks by Marios Athineos Top
Program Source code Matlab Toolbox(YUV,JPEG2000,etc) DenoiseLab(Standford University) Normalized cuts Segmentation INRIA software statlearn Distance metric learning Distance metric learning(UIUC) piotrdollar Matlab Toolbox(UCSD) Face Detection(Viola&Jones) Sameer Agarwal(Washington University) SVM & Kernel Method toolbox BM3D Denoising Dimension Reduction(ASU) LS-SVMLab Dimension Reduction(MSU) SIFT (UCLA) Object Category Recognition (University of Edinburgh) SURF (Speeded Up Robust Feature) (ETH)
MATLAB and Octave Functions for Computer Vision and Image Processing Weakly-supervised learning and object detection code Local feature matching code Chris Williams: Software Zhang(UC Berkely): Software Jim Mutch(MIT): Software *Andrea Vedaldi(UCLA)*: Software *Anton Schwaighofer(Microsoft)*: SVM toolbox *Francis Bach(INRIA)*: Kernel machines Matlab Software The Stony Brook Algorithm Repository/A> TSTOOL Home Page (Contains Nearest Neigbhor searching)/A> Fast optimal bandwidth selection for kernel density estimation (UMD)/A> Data Clustering and Pattern Recognition Toolbox (K-nearest neighbor)/A> MANI fold Learning Matlab Demo (UMN) Self-tuning spectral clustering (Caltech) Mário A. T. Figueiredo ( EM algorithm : Figueiredo-Jain -->estimate also the number of gaussian) Epitome Jason Xun Xu's software collection dminet.com --> useful software collection (bioview) useful matlab toolboxes (Gabriel Peyré) Efficient Subwindow Search (MPI) powerful image visualization in Matlab (Oxford) Color Descriptor(University of Amsterdam) Discriminatively Trained Multiscale Deformable Part Models(University of Chicago) An Online Multi-Label Learning Toolkit(authored by Guo-Jun Qi,University of Science and Technology of China) Oxford Visual Geometry Group (including Shechtman's self-similarity descriptor implementation) Spectral Regression (by Deng cai) SCI Institute Software and Data(Utah) Kateryna Artyushkova (The University of New Mexico) SuperPixels (UC Berkely) Object Detection Combining Recognition and Segmentation (UPenn) Saliency Toolbox (UIUC) Saliency Toolbox (UIUC) iLab Neuromorphic Vision C++ Toolkit (iNVT) (USC) Graph-Based Visual Saliency (GBVS) (Caltech) L-2 Kernel Classification (Umich) Background subtraction library (Amsterdam) VReveal (MotionDSP) Jakob Verbeek's matlab software (i.e., Probabilisic latent semantic analysis.) The Lightspeed Matlab toolbox by Tom Minka (MS) The Fastfit Matlab toolbox by Thomas Minka (MS) Matlab toolbox by Kevin Murphy (UBC) LIBSVM Saliency by Nick Butko (UCSD) Incremental and Decremental Support Vector Machine Learning (UCSD) Frequency-tuned Salient Region Detection (Radhakrishna Achanta, EPFL) Medical Image Registration Toolbox (MIRT). Affine Covariant Region Detectors Micah Kimo Johnson (MIT) ~~> Research: Photoshop + MATLAB tools Alexander Klaser ~~> Research: 3D HOG descriptor Colour in Context Group ~~> Color Constancy Color Descriptors ~~> Created by Koen van de Sande,University of Amsterdam Multiple Kernels for Image Classification ~~> Created by Andrea Vedaldi (Oxford) Linear Spatial Pyramid Matching using Sparse Coding for Image Classification ~~> Created by Jianchao Yang (UIUC) Tool for computing 3D descriptors in videos ~~> by Alexander Kläser (INRIA) spatiotemporal Gabor filters ~~> (University of Groningen) False Discovery rate ~~> (University of Michigan) An Open-Source MATLAB®-to-Python® Compiler OpenCV tutorial Shogun SVM Bayesian Compressive Sensing SVMlight Support Vector Machine AWS: Adaptive Whitening Saliency (Pcode) DOGMA 0.2 (Discriminative Online Good Matlab Algorithms) Francesco Orabona Invariant Predictive Decomposition (ISPD) (Koray@CS.NYU) Multimodal Interactive Systems Lab (Darmstadt.de) code and dataset Dominant orientation templates for Real-time detection of texture-less objects (Hinterstoisser/University of Munchen) CRAM: Compact Representation of Actions in Movies (Mikel Rodriguez/UCF) Top
Video Epitome (University of Toronto) Compact Digital Camera ~~ 6 Mega Pixel Evaluation Comments Free Audio Book On-Line Compendium of Computer Vision Famous Aritist: Chuck Close Using Color Compatibility for Assessing Image Realism (CMU) Contextual guidance of eye movements and attention in real-world scenes: The role of global features on object search (MIT) Octave software Donate rice with fun word game Amazing helicopter game BBC Motion Gallery Prof. Denis Simakov's bookmmark (Weizmann University) Visual Search (Riya.com) Visual Search (like.com) Free PDF coverter Online Image Viewr, Converter A Face-Finding Search Engine
A new approach to face recognition is better at handling low-resolution video. Racquetball Stanford ZunaVision Viewdle: Visual Search Free e-fax VideoSurf: Visual Search Online Integrator Become.com Dr Durand's photo album (MIT) StatCounter cam Studio Chuck Close San Jose Exhibit visual Search Engine (TinEye) Where's Waldo? At a loss for words? Google offers search by sight PhotoTagger on Facebook Free e-fax Wolframaalphax Academic Earth The 13th Machine Learning Summer School (VideoLectures.net) Vision Science Postdoc TinlyURL.com Computational Statistics by Professor William H. Press IguanaTex Matrix cookbook Isoluminant Color Picking for Non-Photorealistic Rendering (Prinseton: Chuck Close painting) Sage is a free open-source mathematics software system licensed under the GPL Google museum projects Top
UFL Cambridge Australia MIT Online equation editor Top
UCLA Multivariate Analysis Montana Multivariate Analysis Chi-square goodness of fit Test Chi-square goodness of fit Test Electronic Statistics Textbook, WEB Top
Endoscopic image processing and pattern recognition Endoscopic image processing CapsuleEndoscopy.org Capsule Endoscopy Atlas IntroMedic MicroCam (Korean Company) JungHwan Oh (University of North Texas) Jungkyu Lee (University of Bridgeport) gastrolab murrasaca Top
Tal Nir Nils Papenberg Thomas Brox Optical flow evaluation results: middlebury Top
MSU Group SSim_index SSIM Top
Spline Interpolation Image Resizing Demo simutaneous Interpolation and Denoising and/or demosacing Top
Medical Image database UMass Vision Image Archive Files which read medical data MRI images Organ Motion from 4D MRI Medical Image Analysis Lab Whole Brain Atlas (Harvard) BrainWeb (Mcgill) MNI-EMMA matlab (Mcgill) NATIONAL CANCER IMAGING ARCHIVE Visible Human CT Datasets (Uiowa) New Real World medical datasets available Volume Library Brain Tumour Analysis Project(University Of Alberta) Medicine Insight Segmentation and Registration Toolkit (ITK). MRIcro. The Basics of MRI Top
My Heritage(Face Recognition) Image Retrieval Kernel-based Algorithms FRGC Object and Concept Recognition for Content-Based Image Retrieval (Uinversity of Washington) Semantic Image Annotation and Retrieval (UCSD) IBM's Query By Image Content Building Classification Cascades for
Visual Identification from One Example ImageCLEF - The CLEF Cross Language Image Retrieval Track face detection/recognition(Bernd Heisele) Content Based Video Retrieval Audio-Visual Search(Chorus) faceVACS Riya.com (Visual Search) Like.com (Visual Search) CBIR summary Top
Shape Matching: A Metric Geometry Approach Tensor Decompositions Workshop 2004 Tamara G.Kolda
MATLAB Tensor Toolbox Version 2.2 University of copenhagen(Source Code and lectures) Richard. A.Harshman Nick Higham Lek-Heng Lim Tae-Kyun Kim Structure Tensor Top
Web of Science Web of Science TPAMI Author Center Journal Citation Reports SPIE Medical Imaging 2008 ISBI 2008 change detection Image Registration Visionbib.com Brain, Cortex, MRI Analysis, Models, 3-D Top
MIT Opencourse Stanford Opencourse Weizmann Advanced Topics in Computer Vision Mcgill Pattern Recognition Courses AAAI 2008 Tutorial 2008 International Workshop On Object Recognition Liangliang Cao's Boosting Resource Liangliang Cao's Salient Patches Resources IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) Volume: 18 Issue: 11 Date: Nov. 2008 MIT Class Object Recognition and Scene Understanding
Fall 2008 (Antonio Torralba) Learning-Based Methods in Vision (CMU: Alyosha Efros Spring 2007) Scene Understanding Seminar (MIT: Aude Oliva Spring 2008) Visual Recognition and Search (Texas Austin: Kristen Grauman Spring 2008)
Recognition Problems in Computer Vision, (SFU: Greg Mori Fall 2007) Computer Vision (Princeton: Fei-Fei Fall2008) Computer Vision Industry Graph Based Image Segmentation Tutorial Faces in Real-Life Images(ECCV08 workshop) Computational Photography (Fredo Durand, MIT 2007) Coded Computational Imaging CVPR 2010 Tutorial
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Borga: [Learning Multidimensional signal processing]
Greg Shakhnarovich: [Learning Task-Specific Similarity]
Navneet DALAL: [Finding People in Images and Videos]
Marin Ferecatu: [Image retrieval with active relevance feedback using both visual and keyword-based descriptors]
Fei-Fei Li: [ Visual Recognition: Computational Models and Human Psychophysics]
Moray Allan: [Sprite Learning and Object Category Recognition using Invariant Features]
Susan Shortreed : [Learning in Spectral Clustering]
Svetlana Lazebnik : [Local, Semi-Local and Global Models for Texture, Object and Scene Recognition]
Hao Zhang: [Adapting Learning Techniques for Visual Recognition]
Ivan Laptev: [Local Spatio-Temporal Image Features for Motion Interpretation ]
Yan ke: [Volumetric Features for Video Event Detection]
Sanjiv Kumar: [Models for Learning Spatial Interactions in
Natural Images for Context-Based Classification]
Derek Hoiem: [SEEING THE WORLD BEHIND THE IMAGE
Spatial Layout for 3D Scene Understanding]
Dorko G: [Selection of Discriminative Regions and Local Descriptors for Generic Objecdt Glass Recognition]
Edgar Seemann: SPedestrian Detection in Crowded Street Scenes
K. Grauman: [Matching Sets of Features for Efficient Retrieval and Recognition]
B. C. Russell : [Labeling, Discovering, and Detecting Objects in Images]
Michalis K. Titsias : [Unsupervised Learning of Multiple Objects in Images]
Computer Vision Group (Uinversity of Leeds) : Theses Andrea Frome: [Learning Distance Functions for Exemplar-Based Object Recognition]
Alex Berg: [Shape Matching and Object Recognition]
Martin Bujnak: [Randomized and Deterministic Approaches to The Sparse Correspondence Problem]
Hakeem, Asaad: [Learning, detection, representation, indexing and retrieval of multi-agent events in videos]
Haibin Ling: [Techniques for Image Retrieval: Deformation Insensitivity and Automatic Thumbnail Cropping]
Xiaoxu Ma: [Learning Coupled Conditional Random Field for Image Decomposition: Theory and Application in Object Categorization ]
SAAD ALI: [TAMING CROWDED VISUAL SCENES]
Navneet Dalal: [Finding People in images and videos]
Ivan Laptev: [Local Spatio-Temporal Image Features for Motion Interpretation]
Tae-Kyun Kim: [Discriminant Analysis of Patterns
in Images, Image Ensembles, and Videos]
M. Johnson: [Semantic Segmentation and Image Search]
Julia Aur´elie Lasserre: [Hybrids of Generative and DiscriminativeMethods for Machine Learning]
A. Bosch: [Image Classification for a largre number of object categories]
J. van de Weijer: [Color Features and Local Structure
in Images]
J.Toews, Mathew.: [A Probabilistic Model to Learn, Detect, Localize and Classify Patterns in Arbitrary Images.
]
JStanley Michael Bileschi: [StreetScenes: Towards Scene Understanding in Still Images]
GRAIL, the Graphics and Imaging Laboratory theses [StreetScenes: Towards Scene Understanding in Still Images]
Walther, Dirk [Interactions of visual attention and object recognition : computational modeling, algorithms, and psychophysics]
Timor Kadir [Scale, Saliency and Scene Description]
Andrew Neil Stein[Occlusion Boundaries:Low-Level Detection to High-Level Reasoning]
NEIL D. B. BRUCE[Saliency, Attention and Visual Search: An informattion Theoretic Approach]
Dashan Gao[A discriminant hypothesis for visual saliency: computational
principles, biological plausibility and applications in computer vision]
Geremy Heitz [GRAPHICAL MODELS FOR HIGH-LEVEL COMPUTER VISION]
Ming Yang [Context-aware and Attentional Visual Object Tracking]
Stefan Roth [High-Order Markov Random Fields for Low-Level Vision]
Ce Liu [Beyond pixels: exploring new representations and applications for motion analysis]
A. Vedaldi [Invariant Representations and Learning for Computer Vision]
James Hays [Large Scale Scene Matching for Graphics and Vision]
Werner Trobin [Local, Semi-global, and Global
Optimization for Motion Estimation]
MARIO FRITZ[Modeling, Representing and
Learning of Visual Categories]
Taeg Sang Cho [Removing motion blur from photographs
]
Samuel W. Hasinoff[Variable-Aperture Photography]
Sarah Aboutalib [Multiple-cue Object Recognitoin for Inreractionable Objects]
Vinod Nair [Visual Object Recognition Using Generative Models of Images]
Sharat Chikkerur [What and Where: A Bayesian Inference Theory of Visual
Attention]
Alexander Toshev
[Shape Representations for Object Recognition
]
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Spectral Clustering (Univ of Washington) A tutorial on Spectral Clustering Correlational Spectral Clustering Top
PASCAL Top
Weizmann Oxford CMU UC Berkely Toronto Columbia MIT Top
UCSC KGSA KOCSEA Tae-Kyun Kim (Univ of Cambridge) Honglak Lee (stanford) Sunhyoung Han (UCSD) SeonJu Kim (UNC) Junhwan Kim (Cornell) Myung Jin Choi (MIT) Byoung-Woo Hong(UCLA) Yoonsuck Choe(TAMU) Yong Jae Lee(Austin, Texas) Su In Lee(Stanford) Seon ju Kim (UNC) ChangKi Min (USC) Minwoo Park (PSU) SeungKyu Lee (PSU) Junghoon Kim (Moss Rehabiliation Research Institute) Taeg sang Cho (MIT) Jung-Eun Lee(MSU) Min young Kim(Rutgers) Zu Hwan Kim(Berkeley) Michael S. Ryoo(Texas, Austin) Soomin Bae(MIT) Dong ryeol Lee(GIT) Taemie Kim(MIT) Jaewon Kim(MIT) Kuk-Jin Yoon(Inria) Jongwoo Lim(Honda) Honglak Lee(Stanford) Dong-U Lee (Mojix, Inc. ) JooSeok Kim (Michigan) Kwang In Kim(MPI) Miyoung Kwon(Minesota) SeonJu Kim(UNC) Top
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TPAMI EDITORIAL BOARD Belongie, Serge Bottou,Leon Chapella,Olivier Chaudhuri,Subhasis Darrell,Trevor Dellaert,Frank Figueiredo,Mario Finlayson,Graham Fleet, David Forstner,Wolfgang Ghahramani,Zoubin Hager,Gregory D. Hogg, David Hu, Jianying Kahl,Fredrik Kang,Sing Bing Kosecka,Jana Kriegman,David Kutulakos,Kiriakos Lawrence,Neil Lindenbaum,Michael Li,Stan Lopresti, Daniel Manjunath,B.S. Maragos,Petros Martinez, Aleix Matas,Jiri Ma,Yi Meila,Marina Murph,Kevin O’Gorman,Lawrence Oliensis,John Paragios,Nikos Pavlovic,Vladimir Pelillo,Marcello Perez,Patrick Pollefeys,Marc Sato,Yoichi Saund,Eric Schiele,Bernt Scholkopf,Bernhard Schuurmans,Dale Sclaroff,Stan Srivastava,Anuj Tang,Xiaoou Torralba,Antonio Triggs,Bill Van Gool,Luc Wechsler,Harry Weinshall,Daphana Welling,Max Yang,Ming-Hsuan Zabih,Ramin Zhu,Song-Chun
