Create gh-pages branch via GitHub

index.html

@@ -44,7 +44,7 @@
 <h2>
 <a id="contributing" class="anchor" href="#contributing" aria-hidden="true"><span class="octicon octicon-link"></span></a>Contributing</h2>
 
-<p>Please feel free to <a href="https://github.com/kjw0612/awesome-deep-vision/pulls">pull requests</a>, email <a href="mailto:jiwon@alum.mit.edu">jiwon@alum.mit.edu</a> or join our chats to add links. </p>
+<p>Please feel free to <a href="https://github.com/kjw0612/awesome-deep-vision/pulls">pull requests</a> to add papers.</p>
 
 <p><a href="https://gitter.im/kjw0612/awesome-deep-vision?utm_source=badge&amp;utm_medium=badge&amp;utm_campaign=pr-badge&amp;utm_content=badge"><img src="https://badges.gitter.im/Join%20Chat.svg" alt="Join the chat at https://gitter.im/kjw0612/awesome-deep-vision"></a></p>
 
@@ -361,6 +361,15 @@
 <li>Clement Farabet, Camille Couprie, Laurent Najman, Yann LeCun, Learning Hierarchical Features for Scene Labeling, PAMI, 2013.</li>
 </ul>
 </li>
+<li>University of Cambridge <a href="http://mi.eng.cam.ac.uk/projects/segnet/">[Web]</a> 
+
+<ul>
+<li>Vijay Badrinarayanan, Alex Kendall and Roberto Cipolla "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation." arXiv preprint arXiv:1511.00561, 2015. <a href="http://arxiv.org/abs/1511.00561">[Paper]</a>
+</li>
+<li>Alex Kendall, Vijay Badrinarayanan and Roberto Cipolla "Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding." arXiv preprint arXiv:1511.02680, 2015. <a href="http://arxiv.org/abs/1511.00561">[Paper]</a>
+</li>
+</ul>
+</li>
 </ul>
 
 <h3>
@@ -697,6 +706,13 @@
 <li>Leon A. Gatys, Alexander S. Ecker, Matthias Bethge, A Neural Algorithm of Artistic Style.</li>
 </ul>
 </li>
+<li>Human Gaze Estimation
+
+<ul>
+<li>Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling, Appearance-Based Gaze Estimation in the Wild, CVPR, 2015. <a href="http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhang_Appearance-Based_Gaze_Estimation_2015_CVPR_paper.pdf">[Paper]</a>
+</li>
+</ul>
+</li>
 </ul>
 
 <h2>