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
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
(6) Which Algorithm Family Can Answer My Question?
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/
