Convolutional Neural Network Resources

• Tutorials
• CNN with CV
• What to detect?
  • Boundary Detection
  • Abnormality Detection
  • Person Head Detection
  • Edge Detection
• Image Super-Resolution
• Blur Detection and Removal
• Interesting Application
  • Pose Estimation
  • Image Colorization
• Projects
• Blogs

Tutorials

Notes on Convolutional Neural Networks

• homepage: http://cogprints.org/5869/
• paper: http://cogprints.org/5869/1/cnn_tutorial.pdf

A guide to convolution arithmetic for deep learning

• arxiv: http://arxiv.org/abs/1603.07285
• github: https://github.com/vdumoulin/conv_arithmetic

Convolutional Networks

http://deeplearning4j.org/convolutionalnets.html

CNN with CV

End-to-End Integration of a Convolutional Network, Deformable Parts Model and Non-Maximum Suppression

• arXiv: http://arxiv.org/abs/1411.5309

A convnet for non-maximum suppression

• arXiv: http://arxiv.org/abs/1511.06437

A Taxonomy of Deep Convolutional Neural Nets for Computer Vision

• arxiv: http://arxiv.org/abs/1601.06615

DehazeNet: An End-to-End System for Single Image Haze Removal

• arxiv: http://arxiv.org/abs/1601.07661

Brewing EmojiNet

• blog: http://engineering.curalate.com/2016/01/20/emojinet.html
• website: https://emojini.curalate.com/

What to detect?

Boundary Detection

Surpassing Humans in Boundary Detection using Deep Learning

• arXiv: http://arxiv.org/abs/1511.07386

Abnormality Detection

Toward a Taxonomy and Computational Models of Abnormalities in Images

• arXiv: http://arxiv.org/abs/1512.01325

Person Head Detection

Context-aware CNNs for person head detection

• arXiv: http://arxiv.org/abs/1511.07917
• github: https://github.com/aosokin/cnn_head_detection

Edge Detection

Holistically-Nested Edge Detection

• paper: http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Xie_Holistically-Nested_Edge_Detection_ICCV_2015_paper.pdf
• arxiv: http://arxiv.org/abs/1504.06375
• github: https://github.com/s9xie/hed

Image Super-Resolution

Image Super-Resolution Using Deep Convolutional Networks(Microsoft Research)

• paper: http://arxiv.org/abs/1501.00092
• project: http://mmlab.ie.cuhk.edu.hk/projects/SRCNN.html

Learning a Deep Convolutional Network for Image Super-Resolution

• Baidu-pan: http://pan.baidu.com/s/1c0k0wRu

Shepard Convolutional Neural Networks

Bicubic VS. Shepard CNN

• paper: https://papers.nips.cc/paper/5774-shepard-convolutional-neural-networks.pdf
• github: https://github.com/jimmy-ren/vcnn_double-bladed/tree/master/applications/Shepard_CNN

Blur Detection and Removal

Learning to Deblur

• arxiv: http://arxiv.org/abs/1406.7444

Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal

• arxiv: http://arxiv.org/abs/1503.00593

Interesting Application

Deeply-Learned Feature for Age Estimation

• paper: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7045931&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7045931

Real-time emotion recognition for gaming using deep convolutional network features

• paper: http://arxiv.org/abs/1408.3750v1
• code: https://github.com/Zebreu/ConvolutionalEmotion

Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns

• project page: http://www.openu.ac.il/home/hassner/projects/cnn_emotions/
• papre: http://www.openu.ac.il/home/hassner/projects/cnn_emotions/LeviHassnerICMI15.pdf
• github: https://gist.github.com/GilLevi/54aee1b8b0397721aa4b

DeXpression: Deep Convolutional Neural Network for Expression Recognition

• paper: http://arxiv.org/abs/1509.05371

PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization

• paper: http://arxiv.org/abs/1505.07427
• project page: http://mi.eng.cam.ac.uk/projects/relocalisation/#results

Modelling Uncertainty in Deep Learning for Camera Relocalization

• paper: http://arxiv.org/abs/1509.05909

PANDA: Pose Aligned Networks for Deep Attribute Modeling(Facebook)

• arXiv: http://arxiv.org/abs/1311.5591
• github: https://github.com/facebook/pose-aligned-deep-networks

NetVLAD: CNN architecture for weakly supervised place recognition

• arXiv: http://arxiv.org/abs/1511.07247
• homepage: http://www.di.ens.fr/willow/research/netvlad/

Im2Calories: towards an automated mobile vision food diary

• paper: http://www.cs.ubc.ca/~murphyk/Papers/im2calories_iccv15.pdf

Predicting psychological attributions from face photographs with a deep neural network

• arxiv: http://arxiv.org/abs/1512.01289

Learning Human Identity from Motion Patterns

• arxiv: http://arxiv.org/abs/1511.03908

Poker-CNN: A Pattern Learning Strategy for Making Draws and Bets in Poker Games Using Convolutional Networks

• arxiv: http://arxiv.org/abs/1509.06731
• paper: http://colinraffel.com/publications/aaai2016poker.pdf
• github: https://github.com/moscow25/deep_draw
• slides: https://drive.google.com/file/d/0B5eOIUHA0khiMjN1YnEtZHMwams/view
• slides: http://pan.baidu.com/s/1nu5zpZ7

DEX: Deep EXpectation of apparent age from a single image (ICCV 2015)

• paper: https://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01229.pdf
• homepage: https://data.vision.ee.ethz.ch/cvl/rrothe/imdb-wiki/

Some like it hot - visual guidance for preference prediction

• arxiv: http://arxiv.org/abs/1510.07867
• demo: http://howhot.io/

Automatic Instrument Recognition in Polyphonic Music Using Convolutional Neural Networks

• arxiv: http://arxiv.org/abs/1511.05520
• github: https://github.com/glennq/instrument-recognition

PlaNet - Photo Geolocation with Convolutional Neural Networks

• arxiv: http://arxiv.org/abs/1602.05314
• review(“Google Unveils Neural Network with “Superhuman” Ability to Determine the Location of Almost Any Image”): https://www.technologyreview.com/s/600889/google-unveils-neural-network-with-superhuman-ability-to-determine-the-location-of-almost/

Camera identification with deep convolutional networks

• arxiv: http://arxiv.org/abs/1603.01068

Pose Estimation

Flowing ConvNets for Human Pose Estimation in Videos

• arxiv: http://arxiv.org/abs/1506.02897
• homepage: http://www.robots.ox.ac.uk/~vgg/software/cnn_heatmap/
• github: https://github.com/tpfister/caffe-heatmap

Structured Feature Learning for Pose Estimation

• arxiv: http://arxiv.org/abs/1603.09065
• homepage: http://www.ee.cuhk.edu.hk/~xgwang/projectpage_structured_feature_pose.html

Age and Gender Classification using Convolutional Neural Networks

• paper: http://www.openu.ac.il/home/hassner/projects/cnn_agegender/CNN_AgeGenderEstimation.pdf
• project page: http://www.openu.ac.il/home/hassner/projects/cnn_agegender/
• github: https://github.com/GilLevi/AgeGenderDeepLearning

Nipple Detection using Convolutional Neural Network

• reddit: https://www.reddit.com/over18?dest=https%3A%2F%2Fwww.reddit.com%2Fr%2FMachineLearning%2Fcomments%2F33n77s%2Fandroid_app_nipple_detection_using_convolutional%2F

Applying deep learning to classify pornographic images and videos

• arxiv: http://arxiv.org/abs/1511.08899

Image Colorization

Deep Colorization

• paper: http://www.cs.cityu.edu.hk/~qiyang/publications/iccv-15.pdf

Learning Large-Scale Automatic Image Colorization

• paper: http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Deshpande_Learning_Large-Scale_Automatic_ICCV_2015_paper.pdf

Learning Representations for Automatic Colorization

• arxiv: http://arxiv.org/abs/1603.06668

Colorful Image Colorization

• project page: http://richzhang.github.io/colorization/
• arxiv: http://arxiv.org/abs/1603.08511

Automatic Colorization (Tensorflow + VGG)

• blog: http://tinyclouds.org/colorize/

Projects

ConvNetJS: a Javascript implementation of Neural networks

• github: https://github.com/karpathy/convnetjs

Convolutional autoencoder to colorize greyscale images

• github: https://github.com/YerevaNN/neural-colorizer

Fast Multi-threaded VGG 19 Feature Extractor

• github: https://github.com/coreylynch/vgg-19-feature-extractor

Live demo of neural network classifying images

http://ml4a.github.io/dev/demos/cifar_confusion.html#

Blogs

我对卷积的理解

• blog: http://mengqi92.github.io/2015/10/06/convolution/
• blog: https://segmentfault.com/a/1190000004706582