Courses

Mobile Computer Vision (Spring 2015)

• homepage: http://web.stanford.edu/class/cs231m/
• syllabus: http://web.stanford.edu/class/cs231m/syllabus.html
• projects: http://web.stanford.edu/class/cs231m/projects.html
• resources: http://web.stanford.edu/class/cs231m/resources.html

CSCI1950-G Computational Photography

http://cs.brown.edu/courses/csci1950-g/

MIT CSAIL: 6.819/6.869: Advances in Computer Vision (Fall 2015)

• homepage: http://6.869.csail.mit.edu/fa15/index.html

EECS 432 Advanced Computer Vision

• course website: http://www.ece.northwestern.edu/~yingwu/teaching/EECS432/index.htmlc
• handouts: http://www.ece.northwestern.edu/~yingwu/teaching/EECS432/EECS432_hand.html

EECS 286 Advanced Topics in Computer Vision

• homepage: http://faculty.ucmerced.edu/mhyang/course/eecs286/index.htm
• syllabus: http://faculty.ucmerced.edu/mhyang/course/eecs286/syllabus.htm
• lectures: http://faculty.ucmerced.edu/mhyang/course/eecs286/lecture.htm
• lecture(“How to get your CVPR paper rejected?”): http://faculty.ucmerced.edu/mhyang/course/eecs286/lectures/introduction.pptx

CS280: Computer Vision (University of California Berkeley)

• homepage: http://www-inst.eecs.berkeley.edu/~cs280/sp15/index.html
• lectures: http://docs.huihoo.com/computer-vision/berkeley/cs280-computer-vision/

CSCI2951-T Data-driven Computer Vision (Spring 2016)

• instructor: Genevieve Patterson
• homepage: http://cs.brown.edu/courses/csci2951-t/

Images Denoising

Fast Burst Images Denoising

• intro: SIGGRAPH Asia 2014. CUHK, Microsoft Research
• project: http://personal.ie.cuhk.edu.hk/~lz013/projects/BurstDenoising.html
• paper: 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

• intro: KGARD
• arxiv: http://arxiv.org/abs/1601.00595
• code(Matlab): http://bouboulis.mysch.gr/kernels.html

Blind Image Denoising via Dependent Dirichlet Process Tree

• arxiv: http://arxiv.org/abs/1601.03117

Image denoising via group sparsity residual constraint

• arxiv: http://arxiv.org/abs/1609.03302

Image Blur / Deblur

Motion Blurred Images Generation

• homepage: http://home.deib.polimi.it/boracchi/Projects/PSFGeneration.html
• code(Matlab): http://home.deib.polimi.it/boracchi/Projects/PSF_generation/PSF_generation.zip

Blind Image Deblurring Using Dark Channel Prior

Good Regions to Deblur

• project page: https://eng.ucmerced.edu/people/zhu/GoodRegion.html
• paper: https://eng.ucmerced.edu/people/zhu/ECCV12.pdf
• code(Matlab): https://eng.ucmerced.edu/people/zhu/ECCV12_code.zip

Painting

Real-Time Gradient-Domain Painting

• intro: SIGGRAPH 2009
• homepage: http://graphics.cs.cmu.edu/projects/gradient-paint/
• paper: http://graphics.cs.cmu.edu/projects/gradient-paint/grad.light.r2226.pdf

Sketch2Photo: Internet Image Montage

• intro: ACM SIGGRAPH ASIA 2009
• project page: http://cg.cs.tsinghua.edu.cn/montage/main.htm
• paper: http://cg.cs.tsinghua.edu.cn/montage/files/montage.pdf

Combining Sketch and Tone for Pencil Drawing Production

• intro: NPAR 2012 Best Paper Award
• homepage: 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
• github: https://github.com/fumin/pencil

Image Retrieval

Multi-modal image retrieval with random walk on multi-layer graphs

• arxiv: http://arxiv.org/abs/1607.03406

Content-based image retrieval tutorial

• intro: KNN, SVM, MatLab GUI
• arxiv: http://arxiv.org/abs/1608.03811
• github: https://github.com/kirk86/ImageRetrieval

Image Summary

Summarizing Visual Data Using Bidirectional Similarity

• homepage: http://denis.simakov.info/weizmann/summarization_talk_20101116/summarization.html
• paper: http://www.wisdom.weizmann.ac.il/~vision/VisualSummary/bidirectional_similarity_CVPR2008.pdf

Image Retargeting / Editing

PatchMatch: A Randomized Correspondence Algorithm for Structural Image Editing

• homepage(paper+code): http://gfx.cs.princeton.edu/pubs/Barnes_2009_PAR/
• paper: http://gfx.cs.princeton.edu/pubs/Barnes_2009_PAR/patchmatch.pdf
• code: http://gfx.cs.princeton.edu/pubs/Barnes_2009_PAR/patchmatch-2.1.zip

The Generalized PatchMatch Correspondence Algorithm

• homapage(paper+code): http://gfx.cs.princeton.edu/pubs/Barnes_2010_TGP/index.php
• paper: http://gfx.cs.princeton.edu/pubs/Barnes_2010_TGP/generalized_pm.pdf
• code: http://www.cs.princeton.edu/gfx/pubs/Barnes_2009_PAR/patchmatch-2.0.zip

Seamless Image Editing

• homepage: http://www.cmlab.csie.ntu.edu.tw/~dreamway/seamless/

Image Inpaiting

Patch-based Texture Synthesis for Image Inpainting

• arxiv: http://arxiv.org/abs/1605.01576

Image Dithering

Image Dithering: Eleven Algorithms and Source Code

• blog: http://www.tannerhelland.com/4660/dithering-eleven-algorithms-source-code/

Image Enhancement

LIME: A Method for Low-light IMage Enhancement

• arxiv: http://arxiv.org/abs/1605.05034
• github: http://cs.tju.edu.cn/orgs/vision/~xguo/code/LIME.zip
• author homepage: http://cs.tju.edu.cn/orgs/vision/~xguo/homepage.htm

SelPh: Progressive Learning and Support of Manual Photo Color Enhancement

• homepage: http://koyama.xyz/project/SelPh/
• paper: http://koyama.xyz/project/SelPh/chi2016_paper.pdf
• bitbucket: https://bitbucket.org/yukikoyama/selph/

Image Resizing

• blog: http://parellagram.com/posts/carving
• github: https://github.com/aaparella/carve

Image Cloning

Coordinates for Instant Image Cloning

• intro: SIGGRAPH 2009
• homepage: http://www.cs.huji.ac.il/~danix/mvclone/
• paper: http://www.cs.huji.ac.il/~danix/mvclone/files/mvc-final-opt.pdf

Image Compositing

Interactive Digital Photomontage

• intro: SIGGRAPH 2004
• homepage: http://grail.cs.washington.edu/projects/photomontage/
• code: http://grail.cs.washington.edu/projects/photomontage/release/
• paper: http://grail.cs.washington.edu/projects/photomontage/photomontage.pdf
• paper: http://www.researchgate.net/publication/2941744_Interactive_Digital_Photomontage

Panorama Stitching

CS510 Visual Computing, Project 2: Panorama Stitching

http://web.cecs.pdx.edu/~kstew2/cs510vision/stitcher/

Image Stylization

stylize: Regressor based image stylization

• github: https://github.com/Newmu/stylize

Procedurally Generating Stylized Farmland Scenes

http://graphics.cs.williams.edu/courses/cs371/f16/gallery/4-midterm/terrain/report.md.html

Image Haze Removal

Single Image Haze Removal

• project page: http://research.microsoft.com/en-us/um/people/kahe/cvpr09/

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

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

Image Blending

Linear Blending, Poisson Blending, Multiband Blending, Feather Blending, Alpha Blending, Laplacian Blending

Image Blending

• course-info: 15-463: Computational Photography. Alexei Efros, CMU, Spring 2010
• lecture: http://graphics.cs.cmu.edu/courses/15-463/2010_spring/Lectures/blending.pdf

CS 195-G: Image Blending

• homepage: https://cs.brown.edu/courses/csci1950-g/results/proj2/edwallac/

Panoramic Image Mosaic

• homepage: http://pages.cs.wisc.edu/~csverma/CS766_09/ImageMosaic/imagemosaic.html

Linear Blending

Adding (blending) two images using OpenCV

http://docs.opencv.org/master/d5/dc4/tutorial_adding_images.html#gsc.tab=0

Poisson Blending

Poisson Image Editing

• intro: SIGGRAPH 2003
• paper: http://cs.brown.edu/courses/csci1290/asgn/proj2/resources/PoissonImageEditing.pdf
• paper: https://www.cs.jhu.edu/~misha/Fall07/Papers/Perez03.pdf
• slides: https://graphics.ethz.ch/teaching/former/seminar/handouts/Weyrich_PoissonImageEditing.pdf
• code(Matlab+C#): https://code.google.com/p/imageblending/
• github: https://github.com/fbessho/PyPoi
• github(C++): https://github.com/cheind/poisson-image-editing

Poisson Blending

• blog: http://eric-yuan.me/poisson-blending/

Poisson Blending II

• blog: http://eric-yuan.me/poisson-blending-2/
• code: http://codepad.org/ANqtikKR

Solving the Discrete Poisson Equation using Jacobi, SOR, Conjugate Gradients, and the FFT

• intro: CS267: Lectures 15 and 16, Mar 5 and 7 1996
• lecture: http://www.cs.berkeley.edu/~demmel/cs267/lecture24/lecture24.html

Gradient Domain Fusion Using Poisson Blending

http://cs.brown.edu/courses/cs129/results/proj2/taox/

Image Stitching

Natural and Seamless Image Composition with Color Control

http://www3.ntu.edu.sg/home/asjfcai/tip04594.pdf

Object-aware Gradient-Domain Image Compositing

http://www.cg.cs.tu-bs.de/media/publications/Eisemann11OAG.pdf

Improving Image Matting using Comprehensive Sampling Sets

http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Shahrian_Improving_Image_Matting_2013_CVPR_paper.pdf

Multi-scale Image Harmonization

• homepage: http://gvi.seas.harvard.edu/paper/multiscale-image-harmonization
• paper: http://gvi.seas.harvard.edu/sites/all/files/Harmonization_SIGGRAPH10.pdf
• slides: http://gvi.seas.harvard.edu/sites/all/files/Harmonization_SIGGRAPH10.pptx

Drag-and-Drop Pasting

http://research.microsoft.com/pubs/69331/dragdroppasting_siggraph06.pdf

Cross Dissolve Without Cross Fade: Preserving Contrast, Color and Salience in Image Compositing

https://www.cl.cam.ac.uk/research/rainbow/projects/compositing/EG06-Cross-Dissolve-Without-Cross-Fade.pdf

Snap Image Composition

http://www.cs.huji.ac.il/~peleg/papers/SnapComposition.pdf

Stitching Stabilizer: Two-frame-stitching Video Stabilization for Embedded Systems

• arxiv: http://arxiv.org/abs/1603.06678

Stitching and Matting

• lectures: http://web.cs.hacettepe.edu.tr/~aykut/classes/spring2015/bil721/lectures/w06-stitching-matting.pdf

Image Stitching

• lectures: https://courses.engr.illinois.edu/cs498dwh/fa2010/lectures/Lecture%2017%20-%20Photo%20Stitching.pdf

Graphics isn’t all about 3-D

• lectures: http://www.cs.cmu.edu/afs/cs/academic/class/15462-s09/www/lec/25/lec25.pdf

• slides: http://upcommons.upc.edu/bitstream/handle/2099.1/22861/PujolAlba-TFG-FinalReport.pdf;jsessionid=7AE46AE2A5420F75760F246381D429BC?sequence=5

Assignment: Image stitching with RANSAC

• assignments: https://people.cs.umass.edu/~elm/Teaching/Docs/assign_RANSAC.pdf

OpenCV panorama stitching

• blog: http://www.pyimagesearch.com/2016/01/11/opencv-panorama-stitching/

Real-time panorama and image stitching with OpenCV

• blog: http://www.pyimagesearch.com/2016/01/25/real-time-panorama-and-image-stitching-with-opencv/

Image Super-Resolution

Super-Resolution From a Single Image

• project: http://www.wisdom.weizmann.ac.il/~vision/SingleImageSR.html
• paper: http://www.wisdom.weizmann.ac.il/~vision/single_image_SR/files/single_image_SR.pdf

Aperture-scanning Fourier ptychography for 3D refocusing and super-resolution macroscopic imaging

• paper: http://www.its.caltech.edu/~roarke/research/FPM/FPM_Aperture_Scanning.pdf
• slides: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6754138

Single Image Super-Resolution from Transformed Self-Exemplars

• homepage: https://sites.google.com/site/jbhuang0604/publications/struct_sr
• github: https://github.com/jbhuang0604/SelfExSR

Photo Collage

AutoCollage

• intro: SIGGRAPH 2006
• homepage: http://research.microsoft.com/en-us/projects/i3l/autocollage.aspx
• paper: http://research.microsoft.com/pubs/67894/autocollage_rotheretal_siggraph2006.pdf
• slides: http://research.microsoft.com/en-us/UM/cambridge/projects/VisionImageVideoEditing/autocollage/TalkSiggraph2006Compressed.zip
• demo: http://research.microsoft.com/en-us/um/cambridge/projects/autocollage/

Picture Collage

• intro: 2006
• paper: 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

Picture Collage

• intro: 2009
• paper: http://mmlab.ie.cuhk.edu.hk/archive/2009/07_Picture.pdf

Efficient Optimization of Photo Collage

• paper: http://research.microsoft.com/pubs/80783/Collage_techreport.pdf

Video Collage

Stained-Glass Visualization for Highly Condensed Video Summaries (ICME 2004)

• intro: ICME 2004
• paper: https://www.fxpal.com/publications/stained-glass-visualization-for-highly-condensed-video-summaries.pdf

Video collage: A novel presentation of video sequence

• intro: ICME 2007
• paper: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.130.3728&rep=rep1&type=pdf

Stained Glass Photo Collages

http://uist.acm.org/archive/adjunct/2004/pdf/posters/p7-girgensohn.pdf

Visual Storylines: Semantic Visualization of Movie Sequence

• paper: http://cg.cs.tsinghua.edu.cn/papers/C&G2012_videostoryline.pdf
• paper: http://cg.cs.tsinghua.edu.cn/people/~taochen/papers/VisualStorylines.pdf

Video collage: presenting a video sequence using a single image

http://iris.usc.edu/people/yangbo/papers/vcj08.pdf

Efficient Optimization of Photo Collage

http://research.microsoft.com/en-us/people/yichenw/collage_techreport.pdf

Puzzle-like Collage (2010)

http://webee.technion.ac.il/~ayellet/Ps/10-PuzzleCollage.pdf

Browsing Large Image Datasets through Voronoi Diagrams

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

• intro: TVCG 2014. NJU
• homepage: 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
• demo: http://cs.nju.edu.cn/ywguo/PhotoCollage/dload.html

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
• paper: http://research.microsoft.com/pubs/204877/mm035-yin.pdf

Video Tapestry

Digital Tapestry

• intro: MSR. CVPR 2005
• homepage: http://research.microsoft.com/apps/pubs/default.aspx?id=67404
• paper: http://pub.ist.ac.at/~vnk/papers/tapestry_cvpr05.pdf

Video Tapestries with Continuous Temporal Zoom

• intro: Princeton. SIGGRAPH 2010
• homepage: http://gfx.cs.princeton.edu/gfx/pubs/Barnes_2010_VTW/index.php
• paper: http://www.connellybarnes.com/work/publications/2010_tapestry_electronic.pdf

Video Creativity

6 Seconds of Sound and Vision: Creativity in Micro-Videos

• intro: CVPR 2014
• homepage: http://www.di.unito.it/~schifane/dataset/vine-dataset-cvpr14/
• arxiv: http://arxiv.org/abs/1411.4080

Video Highlights

Ranking Domain-specific Highlights by Analyzing Edited Videos

• intro: ECCV 2014
• homepage: http://aliensunmin.github.io/project/at-a-glance/
• paper: http://grail.cs.washington.edu/wp-content/uploads/2015/08/sun2014rdh.pdf
• paper: https://drive.google.com/file/d/0ByJgUdTb1N2CM3Y5VU1BRjlmR3c/edit
• tech: https://drive.google.com/file/d/0ByJgUdTb1N2CM1ktb1N4RVV3Mzg/view
• github: https://github.com/aliensunmin/DomainSpecificHighlight

Salient Montages from Unconstrained Videos

• homepage: http://aliensunmin.github.io/project/at-a-glance/
• paper: http://grail.cs.washington.edu/wp-content/uploads/2015/08/sun2014smf.pdf
• paper: https://drive.google.com/file/d/0ByJgUdTb1N2CbzNYTjdxX0ZiRmc/edit
• github: https://github.com/aliensunmin/salientMontages

Video Summarization

Creating Summaries from User Videos

• intro: ECCV 2014
• project page: https://people.ee.ethz.ch/~gyglim/vsum/index.php
• paper: https://people.ee.ethz.ch/~gyglim/vsum/GygliECCV14_vsum.pdf
• paper: http://www.vision.ee.ethz.ch/~hegrabne/papers/Gygli2014CreatingSummariesfrom.pdf
• code: https://people.ee.ethz.ch/~gyglim/vsum/index.php#sf_code

Joint Summarization of Large-scale Collections of Web Images and Videos for Storyline Reconstruction

• intro: CVPR 2014
• paper: http://www.cs.cmu.edu/~gunhee/publish/cvpr14_videostory.pdf

Video Summarization by Learning Submodular Mixtures of Objectives

• intro: CVPR 2015
• paper: http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Gygli_Video_Summarization_by_2015_CVPR_paper.pdf

TVSum: Summarizing Web Videos Using Titles

• paper: http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Song_TVSum_Summarizing_Web_2015_CVPR_paper.pdf

Summarizing While Recording: Context-Based Highlight Detection for Egocentric Videos

• keywords: structured SVM (SSVM)
• paper: http://www.umiacs.umd.edu/~morariu/publications/LinEgocentricICCVW15.pdf

Title Generation for User Generated Videos

• intro: ECCV 2016
• arxiv: http://arxiv.org/abs/1608.07068

Activity Recognition

Latent Hierarchical Model for Activity Recognition

• paper: http://arxiv.org/abs/1503.01820
• github: https://github.com/louxi11/activity_recognition
• author page: https://staff.fnwi.uva.nl/n.hu/

Virtual Reality (VR)

Surround360 System: Facebook’s open source hardware and software for capturing stereoscopic 3D 360 video for VR

• homepage: https://facebook360.fb.com/facebook-surround-360/
• code: https://code.facebook.com/posts/265413023819735/surround-360-is-now-open-source/
• github: https://github.com/facebook/Surround360

Virtual Reality

• intro: Steven M. LaValle. Cambridge University Press 2016
• book: http://vr.cs.uiuc.edu/

SLAM

Why SLAM Matters, The Future of Real-Time SLAM, and Deep Learning vs SLAM

• blog: http://www.computervisionblog.com/2016/01/why-slam-matters-future-of-real-time.html?m=1

一起做RGB-D SLAM

• blog: http://www.cnblogs.com/gaoxiang12/tag/%E4%B8%80%E8%B5%B7%E5%81%9ARGB-D%20SLAM/
• github: https://github.com/gaoxiang12/rgbd-slam-tutorial-gx

PySceneDetect: a command-line application and a Python library for automatically detecting scene changes in video files

• homepage: http://pyscenedetect.readthedocs.org/en/latest/

The Future of Real-Time SLAM and Deep Learning vs SLAM

• blog: http://www.computervisionblog.com/2016/01/why-slam-matters-future-of-real-time.html

Awesome SLAM

• github: https://github.com/kanster/awesome-slam

ORB-SLAM2: Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

• github: https://github.com/raulmur/ORB_SLAM2

Cartographer

• intro: Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
• github: https://github.com/googlecartographer/cartographer

Introducing Cartographer

• blog: https://opensource.googleblog.com/2016/10/introducing-cartographer.html

Real-Time Loop Closure in 2D LIDAR SLAM

• intro: ICRA 2016. Google. Cartographer
• paper: http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/45466.pdf

Optical Flow

A Database and Evaluation Methodology for Optical Flow

• intro: IJCV 2011
• project page: http://vision.middlebury.edu/flow/
• paper: http://vision.middlebury.edu/flow/floweval-ijcv2011.pdf

SimpleFlow: A Non-iterative, Sublinear Optical Flow Algorithm

• intro: Eurographics 2012
• project page: http://graphics.berkeley.edu/papers/Tao-SAN-2012-05/
• paper: http://graphics.berkeley.edu/papers/Tao-SAN-2012-05/Tao-SAN-2012-05.pdf
• code: graphics.berkeley.edu/papers/Tao-SAN-2012-05/SimpleFlow_Source.zip

OCR

Ocular: a state-of-the-art historical OCR system

• github: https://github.com/tberg12/ocular

SESHAT: Handwritten math expression parser

• intro: Seshat is an open-source system for recognizing handwritten mathematical expressions. Given a sample represented as a sequence of strokes, the parser is able to convert it to LaTeX or other formats like InkML or MathML.
• github: https://github.com/falvaro/seshat

Awesome OCR: Links to awesome OCR projects

• github: https://github.com/kba/awesome-ocr

【OCR/机器学习/搜索引擎】基于 Tesseract的图文识别搜

• github: https://github.com/daijiale/OCR_FontsSearchEngine

The Simple + Practical Path to Machine Learning Capability: A Common Benchmark Task

• blog: https://indico.io/blog/simple-practical-path-to-machine-learning-capability-part2/

Optical Character Recognition (OCR)

• blog: http://aosabook.org/en/500L/pages/optical-character-recognition-ocr.html

Sharingan: Newspaper text and context extractor

• intro: Tool to extract news articles from newspaper and give the context about the news
• blog: http://www.vipul.xyz/2017/03/sharingan-newspaper-text-and-context.html
• github: https://github.com/vipul-sharma20/sharingan

Codec

JPEG 101 - How does JPEG work?

• blog: http://arjunsreedharan.org/post/146070390717/jpeg-101-how-does-jpeg-work

Face Alignment

Supervised Descent Method and its Applications to Face Alignment

• intro: CVPR 2013
• project page: http://patrikhuber.github.io/superviseddescent/
• paper: http://101.96.8.164/www.ri.cmu.edu/pub_files/2013/5/main.pdf
• github: https://github.com/patrikhuber/superviseddescent

Face Alignment at 3000 FPS via Regressing Local Binary Features

• intro: CVPR 2014. MSRA
• paper: http://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/yichenw-cvpr14_facealignment.pdf
• github: https://github.com/yulequan/face-alignment-in-3000fps

Joint Cascade Face Detection and Alignment

• intro: ECCV 2014
• paper: http://www.microsoft.com/en-us/research/wp-content/uploads/2016/12/ECCV14_JointCascade.pdf
• github: https://github.com/FaceDetect/jointCascade_py

Papers

RGB-W: When Vision Meets Wireless

• paper: http://vision.stanford.edu/pdf/RGBW_ICCV15.pdf

A Computational Approach for Obstruction-Free Photography

• paper: https://people.csail.mit.edu/mrub/papers/ObstructionFreePhotograpy_SIGGRAPH2015.pdf

My Text in Your Handwriting

• homepage: http://visual.cs.ucl.ac.uk/pubs/handwriting/
• paper: http://visual.cs.ucl.ac.uk/pubs/handwriting/handwriting_visual_main.pdf

Seeing the Arrow of Time

• intro: CVPR 2013
• intro: “is it possible to tell whether a video is running forwards or backwards?”
• project page: http://people.csail.mit.edu/yichangshih/toa_web/
• project page: http://www.robots.ox.ac.uk/~vgg/research/arrow/
• paper: http://www.robots.ox.ac.uk/~vgg/publications/2014/Pickup14/pickup14.pdf
• paper: http://people.csail.mit.edu/yichangshih/toa_web/ArrowCVPR131101.pdf

Time-lapse Mining from Internet Photos

• intro: SIGGRAPH 2015
• project page: http://grail.cs.washington.edu/projects/timelapse/
• paper: http://grail.cs.washington.edu/projects/timelapse/TimelapseMiningSIGGRAPH15.pdf
• wired: https://www.wired.com/2015/05/crowdsourced-timelapse/

3D Time-lapse Reconstruction from Internet Photos

• intro: ICCV 2015 (oral)
• project page: http://grail.cs.washington.edu/projects/timelapse3d/
• paper: http://grail.cs.washington.edu/projects/timelapse3d/3DTimelapseReconstructionICCV15.pdf

The Fast Bilateral Solver

• intro: ECCV 2016 Best Honorable Mention Award
• arxiv: https://arxiv.org/abs/1511.03296
• github: https://github.com/poolio/bilateral_solver

Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects

• arxiv: http://arxiv.org/abs/1602.00753
• project page: http://grail.cs.washington.edu/projects/size/

Atoms of recognition in human and computer vision

• homepage: http://www.wisdom.weizmann.ac.il/~dannyh/Mircs/mircs.html
• paper: https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20150929153916/Live-Texturing-of-Augmented-Reality-Characters-from-Colored-Drawings-Paper.pdf

Live Texturing of Augmented Reality Characters from Colored Drawings

• homepage: https://www.disneyresearch.com/publication/live-texturing-of-augmented-reality-characters/

Colorization for Image Compression

• arxiv: http://arxiv.org/abs/1606.06314

Face2Face: Real-time Face Capture and Reenactment of RGB Videos

• project page: http://www.graphics.stanford.edu/~niessner/thies2016face.html
• paper: http://www.graphics.stanford.edu/~niessner/papers/2016/1facetoface/thies2016face.pdf

Applications

Target acquired: Finding targets in drone and quadcopter video streams using Python and OpenCV http://www.pyimagesearch.com/2015/05/04/target-acquired-finding-targets-in-drone-and-quadcopter-video-streams-using-python-and-opencv/

FaceDirector: Continuous Control of Facial Performance in Video

• homepage: http://www.disneyresearch.com/publication/facedirector/
• paper: http://disneyresearch.s3-us-west-1.amazonaws.com/wp-content/uploads/20151210174750/FaceDirector-Continuous-Control-of-Facial-Performance-in-Video-Paper.pdf

Real-time Expression Transfer for Facial Reenactment

• homepage: http://graphics.stanford.edu/~niessner/thies2015realtime.html
• paper: http://graphics.stanford.edu/~niessner/papers/2015/10face/thies2015realtime.pdf

Photo Stylistic Brush: Robust Style Transfer via Superpixel-Based Bipartite Graph

• arxiv: http://arxiv.org/abs/1606.03871

GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence

• intro: CVPR 2017
• project page: http://jwbian.net/gms
• github: https://github.com/JiawangBian/GMS-Feature-Matcher

Projects

OpenBR: Open Source Biometrics, Face Recognition, Age Estimation, Gender Estimation

• homepage: http://openbiometrics.org/
• github: https://github.com/biometrics/openbr
• docs: http://openbiometrics.org/docs/index.html

SmartMirror

• github: https://github.com/Shinao/SmartMirror

Home Surveilance with Facial Recognition

• github: https://github.com/BrandonJoffe/home_surveillance

Image unshredding using a TSP solver

• github: https://github.com/robinhouston/image-unshredding

Resources

Awesome Computer Vision

• github: https://github.com/jbhuang0604/awesome-computer-vision

Resources: Visual Recognition and Search

• intro: “Non-exhaustive list of state-of-the-art implementations related to visual recognition and search”
• blog: http://rogerioferis.com/VisualRecognitionAndSearch2014/Resources.html

Libraries

BoofCV: an open source Java library for real-time computer vision and robotics applications

http://boofcv.org/index.php?title=Main_Page

tracking.js: A modern approach for Computer Vision on the web

• homepage: https://trackingjs.com/
• github: https://github.com/eduardolundgren/tracking.js/

FastCV Computer Vision SDK

• homepage: https://developer.qualcomm.com/software/fastcv-sdk

Video++, a C++14 high performance video and image processing library

• github: https://github.com/matt-42/vpp
• doc: http://documentup.com/matt-42/vpp

VLFeat – Vision Lab Features Library

• intro: Algorithms include Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels, quick shift superpixels, large scale SVM training, and many others
• homapage: http://www.vlfeat.org/
• github: https://github.com/vlfeat/vlfeat

Datasets

CVonline: Image Databases

http://homepages.inf.ed.ac.uk/rbf/CVonline/Imagedbase.htm

Yet Another Computer Vision Index To Datasets (YACVID)

http://riemenschneider.hayko.at/vision/dataset/

Blogs

From feature descriptors to deep learning: 20 years of computer vision

• blog: http://www.computervisionblog.com/2015/01/from-feature-descriptors-to-deep.html

• blog: http://multithreaded.stitchfix.com/blog/2016/02/04/computer-vision-state-of-the-art
• slides: http://pan.baidu.com/s/1c0Sxzvq

Exploring Computer Vision

• Part I: Convolutional Neural Networks: https://indico.io/blog/exploring-computer-vision-convolutional-neural-nets/
• Part II: Transfer Learning: https://indico.io/blog/exploring-computer-vision-transfer-learning/

Image Processing with Numpy

• blog: http://www.degeneratestate.org/posts/2016/Oct/23/image-processing-with-numpy/

Conferences

SIGGRAPH 2016 papers on the web

http://kesen.realtimerendering.com/sig2016.html

Resources

The Ultimate List of 300+ Computer Vision Resources

• blog: https://hackerlists.com/computer-vision-resources/