Deep Learning Resources
[link] Convolutional Neural Networks for Visual Recognition (Lecture)
[link] Stanford Deep Learning Tutorial
[link] MatConvNet: CNNs for MATLAB
[link] Caffe Deep Learning Framework
[link] TensorFlow
[link] Deep Learning Book (Ian Goodfellow et al)
[link] Convolutional Neural Networks for 3D Object Recognition

Deep Learning Projects for Intelligent/Autonomous Vehicles
[link] End-to-End Deep Learning for Self-Driving Cars
[link] DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
[link] Berkeley Deep Drive
[link] DeepDriving Learning Representations for Intelligent Vehicles

3D Computer Vision/ 3D Perception for Robotics (MATLAB)
[link] GIBBON: The Geometry and Image-Based Bioengineering add-On for MATLAB
[link] Damien’s Matlab library
[link] Point cloud tools for Matlab
[link] geom3d library
[link] gptoolbox
[link] Computational Geometry Toolbox
[link] Toolbox Graph
[link] Matlab geometry toolbox for 2D/3D geometric computing
[link] Yulan Guo’s list of links
[link] International Conference on 3D Vision

Image Processing and Machine Vision Toolbox
[link] Peter Kovesi’s Functions for Computer Vision
[link] Allan+ Jepson’s Vision Tools
[link] Piotr Dollar’s Image & Video Matlab Toolbox
[link] Peter Corke’s Machine Vision Toolbox (The Toolbox provide functions for “Robotics, Vision & Control” written by Peter Corke, 2011)
[link] Balu Toolbox for computer vision, pattern recognition and image processing
[link] Naotoshi Seo’s Matlab Computer Vision and Pattern Recognition toolbox
[link] VLFeat Vision Codes
[link] Princeton Vision Toolkit (PVT)
[link] John Burkardt’s MATLAB Source Codes
[link] Sunglok Choi’s Computer Vision Tools
[link] Young Hoon Lee’s Computer Vision/Robotics Tools
[link] Links to source codes for Computer Vision
[link] Computer Vision Research Code (CMU)
[link] Jean-Yves Bouguet’s Calibration Software
[link] Visual Geometry Group’s Functions for Multi View Geometry (It is matlab code for “Multiple View Geometry in Computer Vision” written by Richard Hartley and Andrew Zisserman)
[link] Code for Computer Vision Algorithms
[link] Image Processing, Analysis, and Machine Vision: A MATLAB Companion (This is a companion matlab code for “Image Processing, Analysis, and Machine Vision” written by Sonka, Hlavac, Boyle)
[link] Computer Vision Software
[link] Vision Resources
[link] Cris L. Luengo Hendriks library
[link] Non-exhaustive list of state-of-the-art implementations
[link] CV Codes
[link] Awesome Computer Vision
[link] Awesome Deep Vision
[link] Computer Vision Resources

Pattern Recognition and Machine Learning Toolbox
[link] Statistical Pattern Recognition Toolbox written by Vojtech Franc
[link] Robert P.W. Duin’s PRTools
[link] Classification Toolbox written by David G. Stork and Elad Yom-Tov (it is matlab code to accompany “Pattern Classification” written by Richard O. Duda, Peter E. Hart and David G. Stork)
[link] Princeton MVPA Toolbox
[link] Machine Learning Toolbox (MLT) written by Roger Jang
[link] The SHOGUN Machine Learning Toolbox
[link] Machine Learning Open Source Software
[link] Numerical Tours in Matlab

Computer Vision Conferences and Journals
[link] [PDF] Online Computer Vision and Computer Graphic Journals
[link] [PDF] Top computer vision journals
[link] [link] Top conferences in computer vision
[link] About  journal and conference review process in computer vision
[link] Computer Vision , [link] Image Processing, [link] pattern recognition and [link] machine
learning call for papers
[link] Calendar of Computer Image Analysis, Computer Vision Conferences
[link] Iranian Conferences in Computer Science Calendar [in Persian][link] [link] Computer Vision conference papers resource
[link] Journals for Machine Learning and Artificial Intelligence

Computer Vision Labs, Universities and Highlights
[link] Computer Vision Labs Around the World
[link] [PDF] Current Research in Computer Vision in US Universities (It is a thread in Edulix.com named “A Bird’s Eye View of Vision Research in US Universities” posted in 2011)
[link] The Computer Vision Industry
[link] Computer vision news
[link] Needs for paradigm shift in Computer Vision

Important publications in Computer Vision

[link] List of important publications in Computer Vision
[link] [PDF] The most cited papers in Computer Vision
[link] The most cited papers in Computer Vision and Deep Learning
[link] Best Paper Awards in Computer Science (since 1996)
[link] Best Papers vs. Top Cited Papers in Computer Science (since 1996)
[link] CVpapers

Top authors in computer vision
[link] The h-Index for Computer Science
[link] Top Computer Vision Researchers
[link] Top authors in Computer Vision
[link] Most cited authors in Computer Vision
[link] Computer Vision Genealogy Project

How to do Research and Write a Research Paper
[link] How to write a good CVPR submission
[link] How to get your SIGGRAPH paper rejected
[link] [link]Graduate Student Resource Page
[link] The Task of the Referee
[link] How to read a paper
[link] Paper Gestalt
[link] Research Tools and [link] [link] Responsible Conduct Of Research (in Persian)

Blogs and individual researchers
[link] Xin Li’s Reproducible Research in Computational Science
[link] Hae Jong Seo’s interesting collection of everything
[link] Student Dave’s Tutorials
[link] Lei Zhang Research Codes (code + paper)
[link] UT-Austin Computer Vision Group (code + paper)
[link] John Hopkins University’s Vision Lab
[link] Marco Zuliani’s Code
[link] Piotr Dollar’s blog
[link] Andrej Karpathy’s blog
[link] Tomasz Malisiewicz’s blog
[link] Boris Babenko on Tumblr
[link] Emmanuel d’Angelo’s blog
[link] Cris L. Luengo Hendriks’s blog
[link] Zhensong ZHANG [link][link] Stanford Wiki on Deep Learning
[link] Adrian Rosebrock blog (OpenCV & Python)
[link] The Serious Computer Vision Blog
[link] Eugene Khvedchenya blog (OpenCV)
[link] Gil’s CV Blog
[link] Sami Badawi blog
[link] Computer Vision Talks
[link] EECVC blog
[link] Eugenio Culurciello
[link] R.P.W. Duin
[link] Sebastian Raschka’s Blog

The Awesomes
[link] Awesome
[link-1] [link-2] Awesome Computer Vision
[link] Awesome Deep Vision
[link] Awesome Deep Learning
[link] Machine Learning & Deep Learning Tutorials
[link] Awesome Recurrent Neural Networks
[link] Awesome TensorFlow
[link] Awesome Machine Learning
[link] Awesome Public Datasets
[link] List of Free Learning Resources