Merge pull request #26 from ReadmeCritic/master

Update README URLs based on HTTP redirects

README.md

@@ -2,7 +2,7 @@
 
 A curated list of deep learning resources for computer vision, inspired by [awesome-php](https://github.com/ziadoz/awesome-php) and [awesome-computer-vision](https://github.com/jbhuang0604/awesome-computer-vision).
 
-Maintainers - [Jiwon Kim](http://github.com/kjw0612), [Heesoo Myeong](https://github.com/hmyeong), [Myungsub Choi](http://github.com/myungsub), [Jung Kwon Lee](http://github.com/deruci)
+Maintainers - [Jiwon Kim](https://github.com/kjw0612), [Heesoo Myeong](https://github.com/hmyeong), [Myungsub Choi](https://github.com/myungsub), [Jung Kwon Lee](https://github.com/deruci)
 
 We are looking for a maintainer! Let me know (jiwon@alum.mit.edu) if interested.
 
@@ -59,7 +59,7 @@ Please feel free to [pull requests](https://github.com/kjw0612/awesome-deep-visi
     * Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich, CVPR, 2015.
   * VGG-Net [[Web]](http://www.robots.ox.ac.uk/~vgg/research/very_deep/) [[Paper]](http://arxiv.org/pdf/1409.1556)
    * Karen Simonyan and Andrew Zisserman, Very Deep Convolutional Networks for Large-Scale Visual Recognition, ICLR, 2015.
-  * AlexNet [[Paper]](http://books.nips.cc/papers/files/nips25/NIPS2012_0534.pdf)
+  * AlexNet [[Paper]](http://papers.nips.cc/book/advances-in-neural-information-processing-systems-25-2012)
     * Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton, ImageNet Classification with Deep Convolutional Neural Networks, NIPS, 2012.
 
 ### Object Detection
@@ -106,7 +106,7 @@ Please feel free to [pull requests](https://github.com/kjw0612/awesome-deep-visi
  * Deeply-Recursive Convolutional Network
   * Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee, Deeply-Recursive Convolutional Network for Image Super-Resolution, arXiv:1511.04491, 2015. [[Paper]](http://arxiv.org/abs/1511.04491)
  * Others
-    * Osendorfer, Christian, Hubert Soyer, and Patrick van der Smagt, Image Super-Resolution with Fast Approximate Convolutional Sparse Coding, ICONIP, 2014. [[Paper ICONIP-2014]](http://www.brml.org/uploads/tx_sibibtex/281.pdf)
+    * Osendorfer, Christian, Hubert Soyer, and Patrick van der Smagt, Image Super-Resolution with Fast Approximate Convolutional Sparse Coding, ICONIP, 2014. [[Paper ICONIP-2014]](http://brml.org/uploads/tx_sibibtex/281.pdf)
 
 #### Other Applications
  * Optical Flow (FlowNet) [[Paper]](http://arxiv.org/pdf/1504.06852)