My Reading List - Machine Learning && Computer Vision

本博客汇总了个人在学习过程中所看过的一些论文、代码、资料以及常用的资源与网站，为了便于记录自身的学习过程，将其整理于博客之中。

Machine Learning

(1) Machine Learning Video Library - Caltech 
说明：罗列了机器学习的常用算法以及机器学习图谱

(2) Deep Learning - Bengio 

说明：Deep Learning三大牛之一Bengio写的一本书

(3) Understanding LSTM Networks

说明：非常棒的LSTM教程

(4) Hacker‘s guide to Neural Networks

说明：Standford大学CS博士生Andrej Karpathy写的神经网络学习指南

(5) The Unreasonable Effectiveness of Recurrent Neural Networks

说明：同样Andrej Karpathy写的关于RNN的博客

Computer Vision

Detction Project

(1) RCNN:

Paper: http://www.cs.berkeley.edu/~rbg/papers/r-cnn-cvpr.pdf 

Code: https://github.com/rbgirshick/rcnn

(2) Fast-RCNN: 
Paper: http://arxiv.org/pdf/1504.08083v1.pdf 

Code: https://github.com/rbgirshick/fast-rcnn

(3) Faster-Rcnn: 
Paper: http://arxiv.org/pdf/1506.01497v1.pdf 

Code: UnRelease

(4) SPP-Net: 
Paper: http://arxiv.org/pdf/1406.4729v4.pdf 

Code: https://github.com/ShaoqingRen/SPP_net

(5) YOLO:

Paper: http://arxiv.org/pdf/1506.02640v3.pdf

Code: http://pjreddie.com/darknet/yolo/

(6) End-to-end people detection in crowded scenes：CNN与LSTM结合的目标检测方法

Paper: http://arxiv.org/pdf/1506.04878v3.pdf

Code: https://github.com/Russell91/reinspect

Tracking

(1) CMT: 
Paper: 

cvpr2014: http://www.gnebehay.com/publications/cvpr_2015/cvpr_2015.pdf 

wacv2014: http://www.gnebehay.com/publications/wacv_2014/wacv_2014.pdf 

Website: http://www.gnebehay.com/cmt/ 

Code: 

Python: https://github.com/gnebehay/CMT 

C++: https://github.com/gnebehay/CppMT 

Helpful Blog: 

songrotek: http://blog.csdn.net/songrotek/article/details/47662617

SuperResolution

(1) SCSR 
Paper: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4587647 
Code: http://www.ifp.illinois.edu/~jyang29/codes/ScSR.rar 
Website: http://www.ifp.illinois.edu/~jyang29/ScSR.htm

(2) SRCNN 
Paper: 
eccv2014: http://personal.ie.cuhk.edu.hk/~ccloy/files/eccv_2014_deepresolution.pdf 
T-PAMI: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7115171 
Website: http://mmlab.ie.cuhk.edu.hk/projects/SRCNN.html 
Code: http://mmlab.ie.cuhk.edu.hk/projects/SRCNN.html

People

(1) Ross B. Girshick - The Author of RCNN、Fast-RCNN 
Website: http://www.cs.berkeley.edu/~rbg/#girshick2014rcnn 
Github: https://github.com/rbgirshick

(2) Shaoqing Ren - The Author of Faster-Rcnn、SPP-Net 
Website: http://home.ustc.edu.cn/~sqren/ 
Github: https://github.com/ShaoqingRen

(3) Georg Nebehay - The Author of CMT 
Website: http://www.gnebehay.com 
Github: https://github.com/gnebehay

(4) Jianchao Yang - The Author of SCSR 
Website: http://www.ifp.illinois.edu/~jyang29/

Interestiing Things

(1) 全景图 
作者：M.S_2308 
介绍: http://www.guokr.com/post/444888/ 
分析：http://www.guokr.com/post/445059/ 
软件：http://matthewalunbrown.com/autostitch/autostitch.html

(2) Kaggle Competition: Denoising Dirty Documents 
Proplem Website: https://www.kaggle.com/c/denoising-dirty-documents/data 
Solution Website: http://colinpriest.com/

My Reading List - Machine Learning && Computer Vision

原文：http://www.cnblogs.com/jujy361/p/4776710.html