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Title: GitHub - flair2005/awesome-deep-vision: A curated list of deep learning resources for computer vision

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X Title: GitHub - flair2005/awesome-deep-vision: A curated list of deep learning resources for computer vision

Description: A curated list of deep learning resources for computer vision - GitHub - flair2005/awesome-deep-vision: A curated list of deep learning resources for computer vision

Open Graph Description: A curated list of deep learning resources for computer vision - GitHub - flair2005/awesome-deep-vision: A curated list of deep learning resources for computer vision

X Description: A curated list of deep learning resources for computer vision - GitHub - flair2005/awesome-deep-vision: A curated list of deep learning resources for computer vision

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jiwon@alum.mit.edu

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https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#table-of-contents
Papershttps://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#papers
ImageNet Classificationhttps://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#imagenet-classification
Object Detectionhttps://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#object-detection
Object Trackinghttps://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#object-tracking
Low-Level Visionhttps://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#low-level-vision
Super-Resolutionhttps://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#super-resolution
Other Applicationshttps://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#other-applications
Edge Detectionhttps://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#edge-detection
Semantic Segmentationhttps://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#semantic-segmentation
Visual Attention and Saliencyhttps://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#visual-attention-and-saliency
Object Recognitionhttps://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#object-recognition
Understanding CNNhttps://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#understanding-cnn
Image and Languagehttps://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#image-and-language
Image Captioninghttps://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#image-captioning
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Paperhttp://arxiv.org/pdf/1512.03385v1.pdf
Slidehttp://research.microsoft.com/en-us/um/people/kahe/ilsvrc15/ilsvrc2015_deep_residual_learning_kaiminghe.pdf
[Paper]http://arxiv.org/pdf/1502.01852
[Paper]http://arxiv.org/pdf/1502.03167
[Paper]http://arxiv.org/pdf/1409.4842
[Web]http://www.robots.ox.ac.uk/~vgg/research/very_deep/
[Paper]http://arxiv.org/pdf/1409.1556
[Paper]http://books.nips.cc/papers/files/nips25/NIPS2012_0534.pdf
https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#object-detection
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[Paper]http://arxiv.org/pdf/1312.6229.pdf
[Paper-CVPR14]http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Girshick_Rich_Feature_Hierarchies_2014_CVPR_paper.pdf
[Paper-arXiv14]http://arxiv.org/pdf/1311.2524
[Paper]http://arxiv.org/pdf/1406.4729
http://arxiv.org/pdf/1504.08083http://arxiv.org/pdf/1504.08083
http://arxiv.org/pdf/1506.01497http://arxiv.org/pdf/1506.01497
http://arxiv.org/pdf/1506.06981http://arxiv.org/pdf/1506.06981
http://arxiv.org/abs/1506.04878http://arxiv.org/abs/1506.04878
http://arxiv.org/abs/1506.02640http://arxiv.org/abs/1506.02640
[Paper]http://arxiv.org/abs/1512.04143
[Paper]http://arxiv.org/abs/1512.03385
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[Paper]http://arxiv.org/pdf/1502.06796
[Paper]http://www.bmva.org/bmvc/2014/files/paper028.pdf
[Paper]http://winsty.net/papers/dlt.pdf
[GitHub]https://github.com/jbhuang0604/CF2
[GitHub]https://github.com/scott89/FCNT
[Paper]http://202.118.75.4/lu/Paper/ICCV2015/iccv15_lijun.pdf
Paperhttp://arxiv.org/pdf/1510.07945.pdf
Codehttps://github.com/HyeonseobNam/MDNet
Project Pagehttp://cvlab.postech.ac.kr/research/mdnet/
https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#low-level-vision
https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#super-resolution
[Web]http://mmlab.ie.cuhk.edu.hk/projects/SRCNN.html
[Paper-ECCV14]http://personal.ie.cuhk.edu.hk/~ccloy/files/eccv_2014_deepresolution.pdf
[Paper-arXiv15]http://arxiv.org/pdf/1501.00092.pdf
[Paper]http://arxiv.org/abs/1511.04587
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[Paper]http://arxiv.org/pdf/1504.06852
[Paper-arXiv15]http://arxiv.org/pdf/1504.06993
[Paper]http://arxiv.org/pdf/1406.7444.pdf
[Paper]http://arxiv.org/pdf/1503.00593
[Web]http://lxu.me/projects/dcnn/
[Paper]http://lxu.me/mypapers/dcnn_nips14.pdf
[Paper]http://jmlr.org/proceedings/papers/v37/xub15.pdf
[Paper]http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zbontar_Computing_the_Stereo_2015_CVPR_paper.pdf
https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#edge-detection
https://cloud.githubusercontent.com/assets/5226447/8452371/93ca6f7e-2025-11e5-90f2-d428fd5ff7ac.PNG
[Paper]http://arxiv.org/pdf/1504.06375
[Paper]http://arxiv.org/pdf/1412.1123
[Paper]http://mc.eistar.net/UpLoadFiles/Papers/DeepContour_cvpr15.pdf
https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#semantic-segmentation
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[Paper]http://arxiv.org/pdf/1504.01013
[Paper]http://arxiv.org/pdf/1506.02108
[Paper]http://arxiv.org/pdf/1509.02634.pdf
[Paper]http://arxiv.org/pdf/1511.07386
[Paper]http://arxiv.org/pdf/1503.01640
[Paper]http://arxiv.org/pdf/1505.04366
[Paper]http://arxiv.org/pdf/1506.04924
[Paper]http://arxiv.org/pdf/1502.03240
[Paper]http://arxiv.org/pdf/1502.02734
[Paper]http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Mostajabi_Feedforward_Semantic_Segmentation_2015_CVPR_paper.pdf
[Paper]http://arxiv.org/pdf/1507.01581
[Paper-CVPR15]http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Long_Fully_Convolutional_Networks_2015_CVPR_paper.pdf
[Paper-arXiv15]http://arxiv.org/pdf/1411.4038
[Paper]http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Hariharan_Hypercolumns_for_Object_2015_CVPR_paper.pdf
[Paper]http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Sharma_Deep_Hierarchical_Parsing_2015_CVPR_paper.pdf
[Paper-ICML12]http://yann.lecun.com/exdb/publis/pdf/farabet-icml-12.pdf
[Paper-PAMI13]http://yann.lecun.com/exdb/publis/pdf/farabet-pami-13.pdf
[Web]http://mi.eng.cam.ac.uk/projects/segnet/
[Paper]http://arxiv.org/abs/1511.00561
[Paper]http://arxiv.org/abs/1511.00561
Paperhttp://arxiv.org/pdf/1512.07928.pdf
Project Pagehttp://cvlab.postech.ac.kr/research/transfernet/
https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#visual-attention-and-saliency
https://cloud.githubusercontent.com/assets/5226447/8492362/7ec65b88-2183-11e5-978f-017e45ddba32.png
[Paper]http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Liu_Predicting_Eye_Fixations_2015_CVPR_paper.pdf
[Paper]http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Singh_Learning_a_Sequential_2015_CVPR_paper.pdf
[Paper]http://arxiv.org/pdf/1412.7755.pdf
[Paper]http://papers.nips.cc/paper/5542-recurrent-models-of-visual-attention.pdf
https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#object-recognition
[Paper]http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Oquab_Is_Object_Localization_2015_CVPR_paper.pdf
[Paper]http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Cimpoi_Deep_Filter_Banks_2015_CVPR_paper.pdf
https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#understanding-cnn
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[Paper]http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Lenc_Understanding_Image_Representations_2015_CVPR_paper.pdf
[Paper]http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Nguyen_Deep_Neural_Networks_2015_CVPR_paper.pdf
[Paper]http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Mahendran_Understanding_Deep_Image_2015_CVPR_paper.pdf
[Paper]http://arxiv.org/abs/1412.6856
[Paper]http://arxiv.org/abs/1506.02753
[Paper]https://www.cs.nyu.edu/~fergus/papers/zeilerECCV2014.pdf
https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#image-and-language
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[Paper]http://arxiv.org/pdf/1410.1090
[Paper]http://arxiv.org/pdf/1411.2539
[Paper]http://arxiv.org/pdf/1411.4389
[Paper]http://arxiv.org/pdf/1411.4555
[Web]http://cs.stanford.edu/people/karpathy/deepimagesent/
[Paper]http://cs.stanford.edu/people/karpathy/cvpr2015.pdf
[Paper]http://arxiv.org/pdf/1412.4729
[Paper-arXiv]http://arxiv.org/pdf/1411.5654
[Paper-CVPR]http://www.cs.cmu.edu/~xinleic/papers/cvpr15_rnn.pdf
[Paper]http://arxiv.org/pdf/1411.4952
Webhttp://kelvinxu.github.io/projects/capgen.html
Paperhttp://www.cs.toronto.edu/~zemel/documents/captionAttn.pdf
Paperhttp://arxiv.org/pdf/1502.03671
Paperhttp://arxiv.org/pdf/1504.06692
Paperhttp://arxiv.org/pdf/1505.04467.pdf
Paperhttp://arxiv.org/pdf/1505.01809.pdf
Paperhttp://arxiv.org/pdf/1506.01144.pdf
Paperhttp://arxiv.org/pdf/1506.03694.pdf
Paperhttp://arxiv.org/pdf/1507.01053.pdf
Paperhttp://arxiv.org/pdf/1508.02091.pdf
https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#video-captioning
[Web]http://jeffdonahue.com/lrcn/
[Paper]http://arxiv.org/pdf/1411.4389.pdf
[Paper]http://arxiv.org/pdf/1412.4729
[Paper]http://arxiv.org/pdf/1505.01861
[Paper]http://arxiv.org/pdf/1505.00487
Paperhttp://arxiv.org/pdf/1502.08029.pdf
Paperhttp://arxiv.org/pdf/1506.01698.pdf
Paperhttp://arxiv.org/pdf/1506.06724.pdf
Paperhttp://arxiv.org/pdf/1507.01053.pdf
https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#question-answering
https://cloud.githubusercontent.com/assets/5226447/8452068/ffe7b1f6-2022-11e5-87ab-4f6d4696c220.PNG
[Web]http://www.visualqa.org/
[Paper]http://arxiv.org/pdf/1505.00468
[Web]https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/research/vision-and-language/visual-turing-challenge/
[Paper]http://arxiv.org/pdf/1505.01121
[Paper]http://arxiv.org/pdf/1505.02074
[Dataset]http://www.cs.toronto.edu/~mren/imageqa/data/cocoqa/
[Paper]http://arxiv.org/pdf/1505.05612
[Dataset]https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision/blob/master
Paperhttp://arxiv.org/pdf/1511.05756.pdf
Project Pagehttp://cvlab.postech.ac.kr/research/dppnet/
https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#other-topics
Paperhttps://web.eecs.umich.edu/~honglak/nips2015-analogy.pdf
[Paper]http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Wang_Designing_Deep_Networks_2015_CVPR_paper.pdf
[Paper]http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Gkioxari_Finding_Action_Tubes_2015_CVPR_paper.pdf
[Paper]http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhang_Cross-Scene_Crowd_Counting_2015_CVPR_paper.pdf
[Paper]http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Wang_Sketch-Based_3D_Shape_2015_CVPR_paper.pdf
[Paper]http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Dosovitskiy_Learning_to_Generate_2015_CVPR_paper.pdf
[Paper]http://arxiv.org/abs/1406.2661
[Paper]http://arxiv.org/abs/1506.05751
[Paper]http://arxiv.org/pdf/1506.04878v3
[Code]https://github.com/jcjohnson/neural-style
[Paper]http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhang_Appearance-Based_Gaze_Estimation_2015_CVPR_paper.pdf
[Website]https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/research/gaze-based-human-computer-interaction/appearance-based-gaze-estimation-in-the-wild/
[Paper]https://www.cs.toronto.edu/~ranzato/publications/taigman_cvpr14.pdf
[Paper]http://arxiv.org/abs/1502.00873
[Paper]http://arxiv.org/abs/1503.03832
https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#courses
CS231n: Convolutional Neural Networks for Visual Recognitionhttp://cs231n.stanford.edu/
ELEG 5040: Advanced Topics in Signal Processing(Introduction to Deep Learning)https://piazza.com/cuhk.edu.hk/spring2015/eleg5040/home
CS224d: Deep Learning for Natural Language Processinghttp://cs224d.stanford.edu/
Deep Learning by Prof. Nando de Freitashttps://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/
Deep Learning by Prof. Yann LeCunhttp://cilvr.cs.nyu.edu/doku.php?id=courses:deeplearning2014:start
https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#books
Deep Learning by Yoshua Bengio, Ian Goodfellow and Aaron Courvillehttp://www.iro.umontreal.ca/~bengioy/dlbook/
Neural Networks and Deep Learning by Michael Nielsenhttp://neuralnetworksanddeeplearning.com/
Deep Learning Tutorial by LISA lab, University of Montrealhttp://deeplearning.net/tutorial/deeplearning.pdf
https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#videos
Deep Learning, Self-Taught Learning and Unsupervised Feature Learning By Andrew Nghttps://www.youtube.com/watch?v=n1ViNeWhC24
Recent Developments in Deep Learning By Geoff Hintonhttps://www.youtube.com/watch?v=vShMxxqtDDs
The Unreasonable Effectiveness of Deep Learning by Yann LeCunhttps://www.youtube.com/watch?v=sc-KbuZqGkI
Deep Learning of Representations by Yoshua bengiohttps://www.youtube.com/watch?v=4xsVFLnHC_0
Deep Learning Course – Nando de Freitas@Oxfordhttp://www.computervisiontalks.com/tag/deep-learning-course/
https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#software
https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#framework
Webhttps://www.tensorflow.org/
Webhttp://torch.ch/
Webhttp://caffe.berkeleyvision.org/
Webhttp://deeplearning.net/software/theano/
Pylearn2http://deeplearning.net/software/pylearn2/
Blockshttps://github.com/mila-udem/blocks
Kerashttp://keras.io/
Lasagnehttps://github.com/Lasagne/Lasagne
[Web]http://www.vlfeat.org/matconvnet/
https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#applications
[Web]https://github.com/goodfeli/adversarial
[Web]https://github.com/aravindhm/deep-goggle
[Web]https://github.com/rbgirshick/rcnn
[Web]https://github.com/longjon/caffe/tree/future
[Web]https://github.com/nagadomi/waifu2x
[Web]https://github.com/shenwei1231/DeepContour
https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#tutorials
Tutorial on Deep Learning in Computer Visionhttps://sites.google.com/site/deeplearningcvpr2014/
Applied Deep Learning for Computer Vision with Torchhttp://torch.ch/docs/cvpr15.html
https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#blogs
Deep down the rabbit hole: CVPR 2015 and beyond@Tombone's Computer Vision Bloghttp://www.computervisionblog.com/2015/06/deep-down-rabbit-hole-cvpr-2015-and.html
CVPR recap and where we're going@Zoya Bylinskii (MIT PhD Student)'s Bloghttp://zoyathinks.blogspot.kr/2015/06/cvpr-recap-and-where-were-going.html
Facebook's AI Painting@Wiredhttp://www.wired.com/2015/06/facebook-googles-fake-brains-spawn-new-visual-reality/
Inceptionism: Going Deeper into Neural Networks@Google Researchhttp://googleresearch.blogspot.kr/2015/06/inceptionism-going-deeper-into-neural.html
jiwonkim.org/awesome-deep-visionhttp://jiwonkim.org/awesome-deep-vision
Readme https://patch-diff.githubusercontent.com/flair2005/awesome-deep-vision#readme-ov-file
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