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* [Advances in Computer Vision](http://6.869.csail.mit.edu/fall14/) - Antonio Torralba and Bill Freeman (MIT)
* [Computer Vision](http://www.vision.rwth-aachen.de/teaching/lecture_computer_vision/winter-13-14) - Bastian Leibe (RWTH Aachen University)
* [Computer Vision 2](http://www.vision.rwth-aachen.de/teaching/lecture_computer_vision_2/summer-14) - Bastian Leibe (RWTH Aachen University)

#### Computational Photography
* [Image Manipulation and Computational Photography](http://inst.eecs.berkeley.edu/~cs194-26/fa14/) - Alexei A. Efros (UC Berkeley)
* [Computational Photography](http://graphics.cs.cmu.edu/courses/15-463/2012_fall/463.html) - Alexei A. Efros (CMU)
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* [Statistical Learning Theory and Applications](http://www.mit.edu/~9.520/fall14/) - Tomaso Poggio, Lorenzo Rosasco, Carlo Ciliberto, Charlie Frogner, Georgios Evangelopoulos, Ben Deen (MIT)
* [Statistical Learning](http://www.stat.rice.edu/~gallen/stat640.html) - Genevera Allen (Rice University)
* [Practical Machine Learning](http://www.cs.berkeley.edu/~jordan/courses/294-fall09/) - Michael Jordan (UC Berkeley)
* [Course on Information Theory, Pattern Recognition, and Neural Networks](http://videolectures.net/course_information_theory_pattern_recognition/) - David MacKay (University of Cambridge)
* [Course on Information Theory, Pattern Recognition, and Neural Networks](http://videolectures.net/course_information_theory_pattern_recognition/) - David MacKay (University of Cambridge)
* [Methods for Applied Statistics: Unsupervised Learning](http://web.stanford.edu/~lmackey/stats306b/) - Lester Mackey (Stanford)
* [Machine Learning](http://www.robots.ox.ac.uk/~az/lectures/ml/index.html) - Andrew Zisserman (University of Oxford)

#### Optimization
* [Convex Optimization I](http://stanford.edu/class/ee364a/) - Stephen Boyd (Stanford University)
* [Convex Optimization II](http://stanford.edu/class/ee364b/) - Stephen Boyd (Stanford University)
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* [Graduate Summer School 2012: Deep Learning, Feature Learning](http://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-deep-learning-feature-learning/?tab=schedule) - IPAM, 2012
* [Workshop on Big Data and Statistical Machine Learning](http://www.fields.utoronto.ca/programs/scientific/14-15/bigdata/machine/)
* [Machine Learning Summer School](https://www.youtube.com/channel/UC3ywjSv5OsDiDAnOP8C1NiQ) - Reykjavik, Iceland 2014
* [Deep Learning Session 1](https://www.youtube.com/watch?v=JuimBuvEWBg) - Yoshua Bengio (Universtiy of Montreal)
* [Deep Learning Session 1](https://www.youtube.com/watch?v=JuimBuvEWBg) - Yoshua Bengio (Universtiy of Montreal)
* [Deep Learning Session 2](https://www.youtube.com/watch?v=Fl-W7_z3w3o) - Yoshua Bengio (University of Montreal)
* [Deep Learning Session 3](https://www.youtube.com/watch?v=_cohR7LAgWA) - Yoshua Bengio (University of Montreal)

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* [Computer Vision Resources](https://sites.google.com/site/jbhuang0604/resources/vision) - Jia-Bin Huang (UIUC)
* [Computer Vision Algorithm Implementations](http://www.cvpapers.com/rr.html) - CVPapers
* [Source Code Collection for Reproducible Research](http://www.csee.wvu.edu/~xinl/reproducible_research.html) - Xin Li (West Virginia University)
* [CMU Computer Vision Page](http://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/v-source.html)
* [CMU Computer Vision Page](http://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/v-source.html)

#### General Purpose Computer Vision Library
* [Open CV](http://opencv.org/)
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#### Feature Detection and Extraction
* [VLFeat](http://www.vlfeat.org/)
* [SIFT](http://www.cs.ubc.ca/~lowe/keypoints/)
* [SIFT](http://www.cs.ubc.ca/~lowe/keypoints/)
* David G. Lowe, "Distinctive image features from scale-invariant keypoints," International Journal of Computer Vision, 60, 2 (2004), pp. 91-110.
* [SIFT++](http://www.robots.ox.ac.uk/~vedaldi/code/siftpp.html)
* [BRISK](http://www.asl.ethz.ch/people/lestefan/personal/BRISK)
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* [Parallel Robust Optical Flow by Sánchez Pérez et al.](http://www.ctim.es/research_works/parallel_robust_optical_flow/)

###### Image Denoising
BM3D, KSVD,
BM3D, KSVD,

###### Super-resolution
* [Multi-frame image super-resolution](http://www.robots.ox.ac.uk/~vgg/software/SR/)
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* [Single Image Deblurring Using Motion Density Functions](http://grail.cs.washington.edu/projects/mdf_deblurring/)
* [Image Deblurring using Inertial Measurement Sensors](http://research.microsoft.com/en-us/um/redmond/groups/ivm/imudeblurring/)
* [Fast Removal of Non-uniform Camera Shake](http://webdav.is.mpg.de/pixel/fast_removal_of_camera_shake/)


###### Image Completion
* [GIMP Resynthesizer](http://registry.gimp.org/node/27986)
* [Priority BP](http://lafarren.com/image-completer/)
* [ImageMelding](http://www.ece.ucsb.edu/~psen/melding)
* [ImageMelding](http://www.ece.ucsb.edu/~psen/melding)
* [PlanarStructureCompletion](https://sites.google.com/site/jbhuang0604/publications/struct_completion)

###### Image Retargeting
* [RetargetMe](http://people.csail.mit.edu/mrub/retargetme/)
* [RetargetMe](http://people.csail.mit.edu/mrub/retargetme/)

###### Alpha Matting
* [Alpha Matting Evaluation](http://www.alphamatting.com/)
* [Closed-form image matting](http://people.csail.mit.edu/alevin/matting.tar.gz)
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* [Recovering Intrinsic Images with a global Sparsity Prior on Reflectance](http://people.tuebingen.mpg.de/mkiefel/projects/intrinsic/)
* [Intrinsic Images by Clustering](http://giga.cps.unizar.es/~elenag/projects/EGSR2012_intrinsic/)

#### Contour Detection and Image Segmentation
* [Mean Shift Segmentation](http://coewww.rutgers.edu/riul/research/code/EDISON/)
* [Graph-based Segmentation](http://cs.brown.edu/~pff/segment/)
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* [Entropy Rate Superpixel](http://mingyuliu.net/)
* [Contour Relaxed Superpixels](http://www.vsi.cs.uni-frankfurt.de/research/current-projects/superpixel-segmentation/)
* [SEEDS](http://www.mvdblive.org/seeds/)
* [SEEDS Revised](https://github.com/davidstutz/seeds-revised)
* [SEEDS Revised](https://github.com/davidstutz/seeds-revised)
* [Multiscale Combinatorial Grouping](http://www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/mcg/)
* [Fast Edge Detection Using Structured Forests](https://github.com/pdollar/edges)

#### Interactive Image Segmentation
* [Random Walker](http://cns.bu.edu/~lgrady/software.html)
* [Geodesic Segmentation](http://www.tc.umn.edu/~baixx015/)
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* [Camera Calibration Toolbox for Matlab](http://www.vision.caltech.edu/bouguetj/calib_doc/)
* [Camera calibration With OpenCV](http://docs.opencv.org/trunk/doc/tutorials/calib3d/camera_calibration/camera_calibration.html#)
* [Multiple Camera Calibration Toolbox](https://sites.google.com/site/prclibo/toolbox)

#### Simultaneous localization and mapping

###### SLAM community:
* [openSLAM](https://www.openslam.org/)
* [Kitti Odometry: benchmark for outdoor visual odometry (codes may be available)](http://www.cvlibs.net/datasets/kitti/eval_odometry.php)

###### Tracking/Odometry:
* [LIBVISO2: C++ Library for Visual Odometry 2](http://www.cvlibs.net/software/libviso/)
* [LIBVISO2: C++ Library for Visual Odometry 2](http://www.cvlibs.net/software/libviso/)
* [PTAM: Parallel tracking and mapping](http://www.robots.ox.ac.uk/~gk/PTAM/)
* [KFusion: Implementation of KinectFusion](https://github.com/GerhardR/kfusion)
* [KFusion: Implementation of KinectFusion](https://github.com/GerhardR/kfusion)
* [kinfu_remake: Lightweight, reworked and optimized version of Kinfu.](https://github.com/Nerei/kinfu_remake)
* [InfiniTAM: Implementation of multi-platform large-scale depth tracking and fusion](http://www.robots.ox.ac.uk/~victor/infinitam/)
* [VoxelHashing: Large-scale KinectFusion](https://github.com/nachtmar/VoxelHashing)
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###### Localization & Mapping:
* [RatSLAM](https://code.google.com/p/ratslam/)
* [LSD-SLAM](https://github.com/tum-vision/lsd_slam)
* [LSD-SLAM](https://github.com/tum-vision/lsd_slam)
* [ORB-SLAM](https://github.com/raulmur/ORB_SLAM)

#### Single-view Spatial Understanding
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#### Human-in-the-loop systems

#### Image Captioning
* [NeuralTalk](https://github.com/karpathy/neuraltalk) -
* [NeuralTalk](https://github.com/karpathy/neuraltalk) -

#### Optimization
* [Ceres Solver](http://ceres-solver.org/) - Nonlinear least-square problem and unconstrained optimization solver
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* [Ground-truth dataset and baseline evaluations for intrinsic image algorithms](http://www.mit.edu/~kimo/publications/intrinsic/)
* [Intrinsic Images in the Wild](http://opensurfaces.cs.cornell.edu/intrinsic/)
* [Intrinsic Image Evaluation on Synthetic Complex Scenes](http://www.cic.uab.cat/Datasets/synthetic_intrinsic_image_dataset/)

#### Material Recognition
* [OpenSurface](http://opensurfaces.cs.cornell.edu/)
* [Flickr Material Database](http://people.csail.mit.edu/celiu/CVPR2010/)
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* [Visual Tracker Benchmark v1.1](https://sites.google.com/site/benchmarkpami/)
* [VOT Challenge](http://www.votchallenge.net/)
* [Princeton Tracking Benchmark](http://tracking.cs.princeton.edu/)

#### Visual Surveillance
* [VIRAT](http://www.viratdata.org/)
* [CAM2](https://cam2.ecn.purdue.edu/)

#### Saliency Detection

#### Change detection
* [ChangeDetection.net](http://changedetection.net/)

#### Visual Recognition

###### Image Classification
* [The PASCAL Visual Object Classes](http://pascallin.ecs.soton.ac.uk/challenges/VOC/)
* [ImageNet Large Scale Visual Recognition Challenge](http://www.image-net.org/challenges/LSVRC/2014/)

###### Scene Recognition
* [SUN Database](http://groups.csail.mit.edu/vision/SUN/)
* [Place Dataset](http://places.csail.mit.edu/)
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* [The PASCAL Visual Object Classes](http://pascallin.ecs.soton.ac.uk/challenges/VOC/)
* [ImageNet Object Detection Challenge](http://www.image-net.org/challenges/LSVRC/2014/)
* [Microsoft COCO](http://mscoco.org/)

###### Semantic labeling
* [Stanford background dataset](http://dags.stanford.edu/projects/scenedataset.html)
* [CamVid](http://mi.eng.cam.ac.uk/research/projects/VideoRec/CamVid/)
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###### Video-based
* [HOLLYWOOD2 Dataset](http://www.di.ens.fr/~laptev/actions/hollywood2/)
* [UCF Sports Action Data Set](http://crcv.ucf.edu/data/UCF_Sports_Action.php)

###### Image Deblurring
* [Sun dataset](http://cs.brown.edu/~lbsun/deblur2013/deblur2013iccp.html)
* [Levin dataset](http://www.wisdom.weizmann.ac.il/~levina/papers/LevinEtalCVPR09Data.rar)
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#### Time Management
* [Time Management](https://www.youtube.com/watch?v=oTugjssqOT0) - Randy Pausch (CMU)

## Blogs
* [Learn OpenCV](http://www.learnopencv.com/) - Satya Mallick
* [Tombone's Computer Vision Blog](http://www.computervisionblog.com/) - Tomasz Malisiewicz
* [Computer vision for dummies](http://www.visiondummy.com/) - Vincent Spruyt
* [Andrej Karpathy blog](http://karpathy.github.io/) - Andrej Karpathy
* [AI Shack](http://aishack.in/) - Utkarsh Sinha
* [Computer Vision Talks](http://computer-vision-talks.com/) - Eugene Khvedchenya

## Links
* [The Computer Vision Industry](http://www.cs.ubc.ca/~lowe/vision.html) - David Lowe
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