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diff --git a/_config.yml b/_config.yml
@@ -73,6 +73,7 @@ author:
     detailIntro:
       <p>I am working as machine learning/deep learning engineer.</p>
       <p>This blog is used to organise interesting papers, projects, websites, blogs and my reading/study notes.</p>
+      <p>Feel free to send PRs or open issues to help maintain this blog: https://github.com/handong1587/handong1587.github.io !</p>
       <p></p>
 
 #You can choose your icon by http://fortawesome.github.io/Font-Awesome/icons/#brand

diff --git a/_posts/computer_vision/2015-09-12-cv-resources.md b/_posts/computer_vision/2015-09-12-cv-resources.md
@@ -54,15 +54,17 @@ date: 2015-09-12
 
 # Images Denoising
 
-**Fast Burst Images Denoising(SIGGRAPH Asia 2014. CUHK, Microsoft Research)**
+**Fast Burst Images Denoising**
 
 ![](http://personal.ie.cuhk.edu.hk/~lz013/projects/burstdenoising/intro.png)
 
+- intro: SIGGRAPH Asia 2014. CUHK, Microsoft Research
 - project: [http://personal.ie.cuhk.edu.hk/~lz013/projects/BurstDenoising.html](http://personal.ie.cuhk.edu.hk/~lz013/projects/BurstDenoising.html)
 - paper: [http://personal.ie.cuhk.edu.hk/~lz013/papers/burstdenoising.pdf](http://personal.ie.cuhk.edu.hk/~lz013/papers/burstdenoising.pdf)
 
-**Robust non-linear regression analysis: A greedy approach employing kernels and application to image denoising (KGARD)**
+**Robust non-linear regression analysis: A greedy approach employing kernels and application to image denoising**
 
+- intro: KGARD
 - arxiv: [http://arxiv.org/abs/1601.00595](http://arxiv.org/abs/1601.00595)
 - code(Matlab): [http://bouboulis.mysch.gr/kernels.html](http://bouboulis.mysch.gr/kernels.html)
 
@@ -107,8 +109,6 @@ date: 2015-09-12
 
 **Combining Sketch and Tone for Pencil Drawing Production**
 
-![](/assets/computer-vision/pencil_drawing.jpg)
-
 - intro: NPAR 2012 Best Paper Award
 - homepage: [http://www.cse.cuhk.edu.hk/~leojia/projects/pencilsketch/pencil_drawing.htm](http://www.cse.cuhk.edu.hk/~leojia/projects/pencilsketch/pencil_drawing.htm)
 - paper: [http://www.cse.cuhk.edu.hk/~leojia/projects/pencilsketch/npar12_pencil.pdf](http://www.cse.cuhk.edu.hk/~leojia/projects/pencilsketch/npar12_pencil.pdf)
@@ -267,8 +267,9 @@ Linear Blending, Poisson Blending, Multiband Blending, Feather Blending, Alpha B
 
 ## Poisson Blending
 
-**Poisson Image Editing (SIGGRAPH 2003)**
+**Poisson Image Editing**
 
+- intro: SIGGRAPH 2003
 - paper: [http://cs.brown.edu/courses/csci1290/asgn/proj2/resources/PoissonImageEditing.pdf](http://cs.brown.edu/courses/csci1290/asgn/proj2/resources/PoissonImageEditing.pdf)
 - paper: [https://www.cs.jhu.edu/~misha/Fall07/Papers/Perez03.pdf](https://www.cs.jhu.edu/~misha/Fall07/Papers/Perez03.pdf)
 - slides: [https://graphics.ethz.ch/teaching/former/seminar/handouts/Weyrich_PoissonImageEditing.pdf](https://graphics.ethz.ch/teaching/former/seminar/handouts/Weyrich_PoissonImageEditing.pdf)
@@ -379,31 +380,23 @@ Linear Blending, Poisson Blending, Multiband Blending, Feather Blending, Alpha B
 
 # Photo Collage
 
-**AutoCollage (SIGGRAPH 2006)**
-
-![](/assets/computer-vision/video_summary/collage1fullcomp.jpg)
+**AutoCollage**
 
-- intro: "Autocollage defines different energies to encourage the selection of a representative set of images, 
-select particular object classes, and encourage a spatially efficient and seamless layout. 
-The optimization is divided into a sequence of steps: from static ranking of images, through region of interest detection, 
-optimal packing by the branch-and-bound algorithm, and lastly graph-cut alpha expansion. 
-The core packing algorithm is limited; for example, user interaction cannot be integrated. 
-The packing algorithm cannot deal with images with multiple salient regions which are assigned different weights.
-Further, the blending still may bring artifacts on the boundaries of different images." 
+- intro: SIGGRAPH 2006
 - homepage: [http://research.microsoft.com/en-us/projects/i3l/autocollage.aspx](http://research.microsoft.com/en-us/projects/i3l/autocollage.aspx)
 - paper: [http://research.microsoft.com/pubs/67894/autocollage_rotheretal_siggraph2006.pdf](http://research.microsoft.com/pubs/67894/autocollage_rotheretal_siggraph2006.pdf)
 - slides: [http://research.microsoft.com/en-us/UM/cambridge/projects/VisionImageVideoEditing/autocollage/TalkSiggraph2006Compressed.zip](http://research.microsoft.com/en-us/UM/cambridge/projects/VisionImageVideoEditing/autocollage/TalkSiggraph2006Compressed.zip)
 - demo: [http://research.microsoft.com/en-us/um/cambridge/projects/autocollage/](http://research.microsoft.com/en-us/um/cambridge/projects/autocollage/)
 
-**Picture Collage (2006)**
+**Picture Collage**
 
+- intro: 2006
 - paper: [http://research.microsoft.com/en-us/um/people/jiansun/papers/PictureCollage_CVPR2006.pdf](http://research.microsoft.com/en-us/um/people/jiansun/papers/PictureCollage_CVPR2006.pdf)
 - paper: [http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.89.5727](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.89.5727)
 
-**Picture Collage (2009)**
+**Picture Collage**
 
-- intro: "formulate the picture collage creation problem in a conditional random field model, which integrates
-image salience, canvas constraint, natural preference, and user interaction"
+- intro: 2009
 - paper: [http://mmlab.ie.cuhk.edu.hk/archive/2009/07_Picture.pdf](http://mmlab.ie.cuhk.edu.hk/archive/2009/07_Picture.pdf)
 
 **Efficient Optimization of Photo Collage**
@@ -412,13 +405,15 @@ image salience, canvas constraint, natural preference, and user interaction"
 
 # Video Collage
 
-**Video collage: A novel presentation of video sequence (ICME 2007)**
+**Stained-Glass Visualization for Highly Condensed Video Summaries (ICME 2004)**
 
-[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.130.3728&rep=rep1&type=pdf](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.130.3728&rep=rep1&type=pdf)
+- intro: ICME 2004
+- paper: [https://www.fxpal.com/publications/stained-glass-visualization-for-highly-condensed-video-summaries.pdf](https://www.fxpal.com/publications/stained-glass-visualization-for-highly-condensed-video-summaries.pdf)
 
-**Stained-Glass Visualization for Highly Condensed Video Summaries (ICME 2004)**
+**Video collage: A novel presentation of video sequence**
 
-[https://www.fxpal.com/publications/stained-glass-visualization-for-highly-condensed-video-summaries.pdf](https://www.fxpal.com/publications/stained-glass-visualization-for-highly-condensed-video-summaries.pdf)
+- intro: ICME 2007
+- paper: [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.130.3728&rep=rep1&type=pdf](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.130.3728&rep=rep1&type=pdf)
 
 **Stained Glass Photo Collages**
 
@@ -445,56 +440,50 @@ image salience, canvas constraint, natural preference, and user interaction"
 
 [http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=576998825C3E40A32826A00B64089DF6?doi=10.1.1.230.5997&rep=rep1&type=pdf](http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=576998825C3E40A32826A00B64089DF6?doi=10.1.1.230.5997&rep=rep1&type=pdf)
 
-**Content-aware Photo Collage Using Circle Packing (NJU. TVCG 2014)**
-
-![](/assets/computer-vision/video_summary/Photo_Collage_Flowchart.jpg)
+**Content-aware Photo Collage Using Circle Packing**
 
+- intro: TVCG 2014. NJU
 - homepage: [http://cs.nju.edu.cn/ywguo/PhotoCollage/Index.html](http://cs.nju.edu.cn/ywguo/PhotoCollage/Index.html)
 - paper: [http://cs.nju.edu.cn/ywguo/webs/paperdownload/Content-aware%20Photo%20Collage%20Using%20Circle%20Packing.pdf](http://cs.nju.edu.cn/ywguo/webs/paperdownload/Content-aware%20Photo%20Collage%20Using%20Circle%20Packing.pdf)
 - demo: [http://cs.nju.edu.cn/ywguo/PhotoCollage/dload.html](http://cs.nju.edu.cn/ywguo/PhotoCollage/dload.html)
 
-**Automatic Generation of Social Media Snippets for Mobile Browsing (Microsoft Research. ACM Multimedia 2013)**
-
-![](/assets/computer-vision/Automatic_Generation_of_Social_Media_Snippets_for_Mobile_Browsing.jpg)
+**Automatic Generation of Social Media Snippets for Mobile Browsing**
 
+- intro: Microsoft Research. ACM Multimedia 2013
 - homepage: [http://research.microsoft.com/apps/pubs/default.aspx?id=204877](http://research.microsoft.com/apps/pubs/default.aspx?id=204877)
 - paper: [http://research.microsoft.com/pubs/204877/mm035-yin.pdf](http://research.microsoft.com/pubs/204877/mm035-yin.pdf)
 
 # Video Tapestry
 
-**Digital Tapestry (MSR. CVPR 2005)**
+**Digital Tapestry**
 
-- intro: "formulates the selection of salient regions and their placement together as a Markov random field (MRF) problem. 
-Each image is represented as a set of blocks, and the multiple-class labeling problem with non-metric
-constraints is optimized by “truncating” the non-regular energy.
-However, artifacts are also introduced along the boundaries of neighboring salient regions coming from two different images
-in digital tapestry, although some artifact removal methods can be used"
+- intro: MSR. CVPR 2005
 - homepage: [http://research.microsoft.com/apps/pubs/default.aspx?id=67404](http://research.microsoft.com/apps/pubs/default.aspx?id=67404)
 - paper: [http://pub.ist.ac.at/~vnk/papers/tapestry_cvpr05.pdf](http://pub.ist.ac.at/~vnk/papers/tapestry_cvpr05.pdf)
 
-**Video Tapestries with Continuous Temporal Zoom (Princeton. SIGGRAPH 2010)**
+**Video Tapestries with Continuous Temporal Zoom**
 
 ![](http://gfx.cs.princeton.edu/gfx/pubs/Barnes_2010_VTW/teaser.png)
 
+- intro: Princeton. SIGGRAPH 2010
 - homepage: [http://gfx.cs.princeton.edu/gfx/pubs/Barnes_2010_VTW/index.php](http://gfx.cs.princeton.edu/gfx/pubs/Barnes_2010_VTW/index.php)
 - paper: [http://www.connellybarnes.com/work/publications/2010_tapestry_electronic.pdf](http://www.connellybarnes.com/work/publications/2010_tapestry_electronic.pdf)
 
 # Video Creativity
 
-**6 Seconds of Sound and Vision: Creativity in Micro-Videos (CVPR 2014)**
+**6 Seconds of Sound and Vision: Creativity in Micro-Videos**
 
+- intro:  CVPR 2014
 - homepage: [http://www.di.unito.it/~schifane/dataset/vine-dataset-cvpr14/](http://www.di.unito.it/~schifane/dataset/vine-dataset-cvpr14/)
 - arxiv: [http://arxiv.org/abs/1411.4080](http://arxiv.org/abs/1411.4080)
 
 # Video Highlights
 
-**Ranking Domain-specific Highlights by Analyzing Edited Videos (ECCV 2014)**
+**Ranking Domain-specific Highlights by Analyzing Edited Videos**
 
 ![](http://aliensunmin.github.io/project/at-a-glance/highlight_teaser.png)
 
-- intro: use a dataset obtained by crawling Youtube data. find pairs of raw and edited videos, used in training,
-by matching all pairs of videos within a certain category(e.g. gymnastics).
-The size of their dataset is, however, limited by the availability of domain-specific videos in both raw and edited forms.
+- intro: ECCV 2014
 - homepage: [http://aliensunmin.github.io/project/at-a-glance/](http://aliensunmin.github.io/project/at-a-glance/)
 - paper: [http://grail.cs.washington.edu/wp-content/uploads/2015/08/sun2014rdh.pdf](http://grail.cs.washington.edu/wp-content/uploads/2015/08/sun2014rdh.pdf)
 - paper: [https://drive.google.com/file/d/0ByJgUdTb1N2CM3Y5VU1BRjlmR3c/edit](https://drive.google.com/file/d/0ByJgUdTb1N2CM3Y5VU1BRjlmR3c/edit)
@@ -512,10 +501,11 @@ The size of their dataset is, however, limited by the availability of domain-spe
 
 # Video Summarization
 
-**Creating Summaries from User Videos (ECCV 2014)**
+**Creating Summaries from User Videos**
 
 ![](http://www.vision.ee.ethz.ch/~hegrabne/visualInterestingness/vsum.png)
 
+- intro: ECCV 2014
 - project page: [https://people.ee.ethz.ch/~gyglim/vsum/index.php](https://people.ee.ethz.ch/~gyglim/vsum/index.php)
 - paper: [https://people.ee.ethz.ch/~gyglim/vsum/GygliECCV14_vsum.pdf](https://people.ee.ethz.ch/~gyglim/vsum/GygliECCV14_vsum.pdf)
 - paper: [http://www.vision.ee.ethz.ch/~hegrabne/papers/Gygli2014CreatingSummariesfrom.pdf](http://www.vision.ee.ethz.ch/~hegrabne/papers/Gygli2014CreatingSummariesfrom.pdf)
@@ -526,10 +516,11 @@ The size of their dataset is, however, limited by the availability of domain-spe
 - intro: CVPR 2014
 - paper: [http://www.cs.cmu.edu/~gunhee/publish/cvpr14_videostory.pdf](http://www.cs.cmu.edu/~gunhee/publish/cvpr14_videostory.pdf)
 
-**Video Summarization by Learning Submodular Mixtures of Objectives (CVPR 2015)**
+**Video Summarization by Learning Submodular Mixtures of Objectives**
 
 ![](http://www.vision.ee.ethz.ch/~hegrabne/visualInterestingness/vsum2.jpg)
 
+- intro: CVPR 2015
 - paper: [http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Gygli_Video_Summarization_by_2015_CVPR_paper.pdf](http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Gygli_Video_Summarization_by_2015_CVPR_paper.pdf)
 
 **TVSum: Summarizing Web Videos Using Titles**
@@ -680,8 +671,6 @@ Given a sample represented as a sequence of strokes, the parser is able to conve
 
 **A Computational Approach for Obstruction-Free Photography**
 
-![](/assets/computer-vision/A_Computational_Approach_for_Obstruction-Free_Photography.jpg)
-
 - paper: [https://people.csail.mit.edu/mrub/papers/ObstructionFreePhotograpy_SIGGRAPH2015.pdf](https://people.csail.mit.edu/mrub/papers/ObstructionFreePhotograpy_SIGGRAPH2015.pdf)
 
 **My Text in Your Handwriting**

diff --git a/_posts/computer_vision/2015-09-24-datasets.md b/_posts/computer_vision/2015-09-24-datasets.md
@@ -127,11 +127,6 @@ There are 50000 training images and 10000 test images.
 
 # Segmentation
 
-**ADE20K**
-
-- intro: train: 20,120 images, val: 2000 images
-- homepage: [http://groups.csail.mit.edu/vision/datasets/ADE20K/](http://groups.csail.mit.edu/vision/datasets/ADE20K/)
-
 ## Mapillary Vistas Dataset
 
 **Mapillary Vistas Dataset**
@@ -154,6 +149,12 @@ There are 50000 training images and 10000 test images.
 - homepage: [http://mscoco.org/](http://mscoco.org/)
 - github: [https://github.com/pdollar/coco](https://github.com/pdollar/coco)
 
+# The Oxford-IIIT Pet Dataset
+
+- intro: a 37 category pet dataset with roughly 200 images for each class.
+All images have an associated ground truth annotation of breed, head ROI, and pixel level trimap segmentation
+- homepage: [http://www.robots.ox.ac.uk/~vgg/data/pets/](http://www.robots.ox.ac.uk/~vgg/data/pets/)
+
 ## COCO-Stuff
 
 **COCO-Stuff: Thing and Stuff Classes in Context**
@@ -163,6 +164,21 @@ There are 50000 training images and 10000 test images.
 [https://arxiv.org/abs/1612.03716](https://arxiv.org/abs/1612.03716)
 [https://github.com/nightrome/cocostuff](https://github.com/nightrome/cocostuff)
 
+# Scene Parsing
+
+**MIT Scene Parsing Benchmark**
+
+[http://sceneparsing.csail.mit.edu/](http://sceneparsing.csail.mit.edu/)
+
+**ADE20K**
+
+- intro: train: 20,120 images, val: 2000 images. contains 150 stuff/object category labels (e.g., wall, sky, and tree) and 1,038 imagelevel scene descriptors (e.g., airport terminal, bedroom, and street).
+- homepage: [http://groups.csail.mit.edu/vision/datasets/ADE20K/](http://groups.csail.mit.edu/vision/datasets/ADE20K/)
+
+**Semantic Understanding of Scenes through the ADE20K Dataset**
+
+[https://arxiv.org/abs/1608.05442](https://arxiv.org/abs/1608.05442)
+
 # ImageNet
 
 - synsets: [http://image-net.org/challenges/LSVRC/2014/browse-det-synsets](http://image-net.org/challenges/LSVRC/2014/browse-det-synsets)
@@ -333,10 +349,29 @@ The program allows the user to annotate individual objects in images.
 Designed to manage machine learning datasets with fast reading speeds.
 - github: [https://github.com/vicolab/ml-pyxis](https://github.com/vicolab/ml-pyxis)
 
+**Open Image Dataset downloader**
+
+- github: [https://github.com/e-lab/crawl-dataset](https://github.com/e-lab/crawl-dataset)
+
 # Artist
 
 **BAM! The Behance Artistic Media Dataset**
 
 - intro: 2.5M artwork urls, 393K attribute labels, 74K short image descriptions/captions
 - project page: [https://bam-dataset.org/](https://bam-dataset.org/)
-- arxiv: [https://arxiv.org/abs/1704.08614](https://arxiv.org/abs/1704.08614)
+- arxiv: [https://arxiv.org/abs/1704.08614](https://arxiv.org/abs/1704.08614)
+
+# Resources
+
+**CV Datasets on the web**
+
+[http://www.cvpapers.com/datasets.html](http://www.cvpapers.com/datasets.html)
+
+**Awesome Public Datasets**
+
+- intro: An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!
+- github: [https://github.com/caesar0301/awesome-public-datasets](https://github.com/caesar0301/awesome-public-datasets)
+
+**Machine Learning Repository**
+
+[https://archive.ics.uci.edu/ml/datasets.html](https://archive.ics.uci.edu/ml/datasets.html)
diff --git a/_posts/deep_learning/2015-10-09-dl-applications.md b/_posts/deep_learning/2015-10-09-dl-applications.md
@@ -565,6 +565,11 @@ Illustration Tagger, InceptionNet, Parsey McParseface, ArtsyNetworks
 - intro: AVSS 2017
 - arxiv: [https://arxiv.org/abs/1705.10698](https://arxiv.org/abs/1705.10698)
 
+**Image Crowd Counting Using Convolutional Neural Network and Markov Random Field**
+
+- intro: CVPR 2017
+- arxiv: [https://arxiv.org/abs/1706.03725](https://arxiv.org/abs/1706.03725)
+
 # Activity Recognition
 
 **Implementing a CNN for Human Activity Recognition in Tensorflow**
@@ -682,9 +687,11 @@ Illustration Tagger, InceptionNet, Parsey McParseface, ArtsyNetworks
 ![](http://www.cs.berkeley.edu/~pathak/context_encoder/resources/result_fig.jpg)
 
 - intro: CVPR 2016
+- intro: Unsupervised Feature Learning by Image Inpainting using GANs
 - project page: [http://www.cs.berkeley.edu/~pathak/context_encoder/](http://www.cs.berkeley.edu/~pathak/context_encoder/)
 - arxiv: [https://arxiv.org/abs/1604.07379](https://arxiv.org/abs/1604.07379)
-- github: [https://github.com/pathak22/context-encoder](https://github.com/pathak22/context-encoder)
+- github(official): [https://github.com/pathak22/context-encoder](https://github.com/pathak22/context-encoder)
+- github: [https://github.com/BoyuanJiang/context_encoder_pytorch](https://github.com/BoyuanJiang/context_encoder_pytorch)
 
 **Semantic Image Inpainting with Perceptual and Contextual Losses**
 
@@ -935,6 +942,10 @@ Illustration Tagger, InceptionNet, Parsey McParseface, ArtsyNetworks
 
 [https://arxiv.org/abs/1704.00524](https://arxiv.org/abs/1704.00524)
 
+**When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach**
+
+[https://arxiv.org/abs/1706.04284](https://arxiv.org/abs/1706.04284)
+
 # Image Haze Removal
 
 **DehazeNet: An End-to-End System for Single Image Haze Removal**

diff --git a/_posts/deep_learning/2015-10-09-dl-resources.md b/_posts/deep_learning/2015-10-09-dl-resources.md
@@ -316,6 +316,11 @@ not just the convolutions)
 - intro: University of Amsterdam & ESAT-PSI
 - arxiv: [https://arxiv.org/abs/1706.00598](https://arxiv.org/abs/1706.00598)
 
+**Learning Deep ResNet Blocks Sequentially using Boosting Theory**
+
+- intro: Microsoft Research & Princeton University
+- arxiv: [https://arxiv.org/abs/1706.04964](https://arxiv.org/abs/1706.04964)
+
 # Deep Learning And Bayesian
 
 **Scalable Bayesian Optimization Using Deep Neural Networks**
@@ -1299,6 +1304,12 @@ with fast exact probabilistic inference over many layers."
 
 - blog: [https://amundtveit.com/2016/12/02/deep-learning-with-gaussian-process/](https://amundtveit.com/2016/12/02/deep-learning-with-gaussian-process/)
 
+**Doubly Stochastic Variational Inference for Deep Gaussian Processes**
+
+- arxiv: [https://arxiv.org/abs/1705.08933](https://arxiv.org/abs/1705.08933)
+- github: [https://github.com/thangbui/deepGP_approxEP](https://github.com/thangbui/deepGP_approxEP)
+- github: [https://github.com/ICL-SML/Doubly-Stochastic-DGP](https://github.com/ICL-SML/Doubly-Stochastic-DGP)
+
 ## HMM
 
 **Unsupervised Neural Hidden Markov Models**
@@ -2248,6 +2259,7 @@ It is based on Facebook's TorchCraft, which is a bridge between Torch and StarCr
 - github(Tensorflow): [https://github.com/Zehaos/MobileNet](https://github.com/Zehaos/MobileNet)
 - github: [https://github.com/shicai/MobileNet-Caffe](https://github.com/shicai/MobileNet-Caffe)
 - github: [https://github.com/hollance/MobileNet-CoreML](https://github.com/hollance/MobileNet-CoreML)
+- github: [https://github.com/KeyKy/mobilenet-mxnet](https://github.com/KeyKy/mobilenet-mxnet)
 
 **MobileNets: Open-Source Models for Efficient On-Device Vision**