update lists
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[38;5;12m [39m[38;2;255;187;0m[1m[4mAwesome Computer Vision: [0m[38;5;14m[1m[4m![0m[38;2;255;187;0m[1m[4mAwesome[0m[38;5;14m[1m[4m (https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)[0m[38;2;255;187;0m[1m[4m (https://github.com/sindresorhus/awesome)[0m
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[38;5;12m [39m[38;2;255;187;0m[1m[4mAwesome Computer Vision: [0m[38;5;14m[1m[4m![0m[38;2;255;187;0m[1m[4mAwesome[0m[38;5;14m[1m[4m (https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)[0m[38;2;255;187;0m[1m[4m (https://github.com/sindresorhus/awesome)[0m
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[38;5;12mA curated list of awesome computer vision resources, inspired by [39m[38;5;14m[1mawesome-php[0m[38;5;12m (https://github.com/ziadoz/awesome-php).[39m
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[38;5;12mFor a list people in computer vision listed with their academic genealogy, please visit [39m[38;5;14m[1mhere[0m[38;5;12m (https://github.com/jbhuang0604/awesome-computer-vision/blob/master/people.md)[39m
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[38;2;255;187;0m[4mOpenCV Programming[0m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mLearning OpenCV: Computer Vision with the OpenCV Library[0m[38;5;12m (http://www.amazon.com/Learning-OpenCV-Computer-Vision-Library/dp/0596516134) - Gary Bradski and Adrian Kaehler[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mPractical Python and OpenCV[0m[38;5;12m (https://www.pyimagesearch.com/practical-python-opencv/) - Adrian Rosebrock[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mOpenCV[0m[38;5;14m[1m [0m[38;5;14m[1mEssentials[0m[38;5;12m [39m[38;5;12m(http://www.amazon.com/OpenCV-Essentials-Oscar-Deniz-Suarez/dp/1783984244/ref=sr_1_1?s=books&ie=UTF8&qid=1424594237&sr=1-1&keywords=opencv+essentials#)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mOscar[39m[38;5;12m [39m[38;5;12mDeniz[39m[38;5;12m [39m[38;5;12mSuarez,[39m[38;5;12m [39m[38;5;12mMª[39m[38;5;12m [39m[38;5;12mdel[39m[38;5;12m [39m[38;5;12mMilagro[39m[38;5;12m [39m[38;5;12mFernandez[39m[38;5;12m [39m[38;5;12mCarrobles,[39m[38;5;12m [39m[38;5;12mNoelia[39m
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[38;5;12mVallez[39m[38;5;12m [39m[38;5;12mEnano,[39m[38;5;12m [39m[38;5;12mGloria[39m[38;5;12m [39m[38;5;12mBueno[39m[38;5;12m [39m[38;5;12mGarcia,[39m[38;5;12m [39m[38;5;12mIsmael[39m[38;5;12m [39m[38;5;12mSerrano[39m[38;5;12m [39m[38;5;12mGracia[39m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mOpenCV[0m[38;5;14m[1m [0m[38;5;14m[1mEssentials[0m[38;5;12m [39m[38;5;12m(http://www.amazon.com/OpenCV-Essentials-Oscar-Deniz-Suarez/dp/1783984244/ref=sr_1_1?s=books&ie=UTF8&qid=1424594237&sr=1-1&keywords=opencv+essentials#)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mOscar[39m[38;5;12m [39m[38;5;12mDeniz[39m[38;5;12m [39m[38;5;12mSuarez,[39m[38;5;12m [39m[38;5;12mMª[39m[38;5;12m [39m[38;5;12mdel[39m[38;5;12m [39m[38;5;12mMilagro[39m[38;5;12m [39m[38;5;12mFernandez[39m[38;5;12m [39m[38;5;12mCarrobles,[39m[38;5;12m [39m[38;5;12mNoelia[39m[38;5;12m [39m[38;5;12mVallez[39m[38;5;12m [39m
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[38;5;12mEnano,[39m[38;5;12m [39m[38;5;12mGloria[39m[38;5;12m [39m[38;5;12mBueno[39m[38;5;12m [39m[38;5;12mGarcia,[39m[38;5;12m [39m[38;5;12mIsmael[39m[38;5;12m [39m[38;5;12mSerrano[39m[38;5;12m [39m[38;5;12mGracia[39m
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[38;2;255;187;0m[4mMachine Learning[0m
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[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mPattern Recognition and Machine Learning[0m[38;5;12m (http://research.microsoft.com/en-us/um/people/cmbishop/prml/index.htm) - Christopher M. Bishop 2007[39m
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@@ -378,8 +378,7 @@
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[38;5;12m [39m[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mPatch-wise Sparse Recovery[0m[38;5;12m (http://www.ifp.illinois.edu/~jyang29/ScSR.htm)[39m
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[48;5;235m[38;5;249m* Jianchao Yang, John Wright, Thomas Huang, and Yi Ma. Image super-resolution via sparse representation. IEEE Transactions on Image Processing (TIP), vol. 19, issue 11, 2010.[49m[39m
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[38;5;12m [39m[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mNeighbor embedding[0m[38;5;12m (http://www.jdl.ac.cn/user/hchang/doc/code.rar)[39m
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[48;5;235m[38;5;249m* H. Chang, D.Y. Yeung, Y. Xiong. Super-resolution through neighbor embedding. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), vol.1, pp.275-282, Washington, DC, USA, 27 June - 2 Ju[49m[39m[48;5;235m[38;5;249m [49m[39m
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[48;5;235m[38;5;249mly 2004.[49m[39m[48;5;235m[38;5;249m [49m[39m
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[48;5;235m[38;5;249m* H. Chang, D.Y. Yeung, Y. Xiong. Super-resolution through neighbor embedding. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), vol.1, pp.275-282, Washington, DC, USA, 27 June - 2 July 2004.[49m[39m
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[38;5;12m [39m[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mDeformable Patches[0m[38;5;12m (https://sites.google.com/site/yuzhushome/single-image-super-resolution-using-deformable-patches)[39m
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[48;5;235m[38;5;249m* Yu Zhu, Yanning Zhang and Alan Yuille, Single Image Super-resolution using Deformable Patches, CVPR 2014[49m[39m
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[38;5;12m [39m[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[38;5;14m[1mSRCNN[0m[38;5;12m (http://mmlab.ie.cuhk.edu.hk/projects/SRCNN.html)[39m
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@@ -810,3 +809,5 @@
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[38;5;14m[1m![0m[38;5;12mCC0[39m[38;5;14m[1m (http://i.creativecommons.org/p/zero/1.0/88x31.png)[0m[38;5;12m (http://creativecommons.org/publicdomain/zero/1.0/)[39m
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[38;5;12mTo the extent possible under law, [39m[38;5;14m[1mJia-Bin Huang[0m[38;5;12m (www.jiabinhuang.com) has waived all copyright and related or neighboring rights to this work.[39m
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[38;5;12mcomputervision Github: https://github.com/jbhuang0604/awesome-computer-vision[39m
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