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@@ -185,11 +185,12 @@ NIPS 2012.</li>
 <li>Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg, Philip Häusser, Caner Hazırbaş, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox, FlowNet: Learning Optical Flow with Convolutional Networks, arXiv:1504.06852.</li>
 </ul>
 </li>
-<li>Super-Resolution (SRCNN) <a href="http://mmlab.ie.cuhk.edu.hk/projects/SRCNN.html">[Web]</a> <a href="http://personal.ie.cuhk.edu.hk/%7Eccloy/files/eccv_2014_deepresolution.pdf">[Paper-ECCV14]</a> <a href="http://arxiv.org/pdf/1501.00092v1.pdf">[Paper-arXiv15]</a>
+<li>Super-Resolution (SRCNN) <a href="http://mmlab.ie.cuhk.edu.hk/projects/SRCNN.html">[Web]</a> <a href="http://personal.ie.cuhk.edu.hk/%7Eccloy/files/eccv_2014_deepresolution.pdf">[Paper-ECCV14]</a> <a href="http://arxiv.org/pdf/1501.00092v1.pdf">[Paper-arXiv15]</a><a href="http://www.brml.org/uploads/tx_sibibtex/281.pdf">[Paper ICONIP-2014]</a>
 
 <ul>
 <li>Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang, Learning a Deep Convolutional Network for Image Super-Resolution, in ECCV 2014</li>
 <li>Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang. Image Super-Resolution Using Deep Convolutional Networks, arXiv:1501.00092 (2015)</li>
+<li>Osendorfer, Christian, Hubert Soyer, and Patrick van der Smagt. Image Super-Resolution with Fast Approximate Convolutional Sparse Coding. Neural Information Processing. Springer International Publishing, 2014. </li>
 </ul>
 </li>
 <li>Compression Artifacts Reduction <a href="http://arxiv.org/pdf/1504.06993v1">[Paper-arXiv15]</a>