Life is a game, take it seriously

Posts Tagged ‘publication’

Organizing Publications Visually: EatPaper

In Paper Talk, Serious Stuffs on January 13, 2013 at 2:44 pm

by Gooly (Li Yang Ku)

I always hoped that there would be a good app to organize the papers I read and show it graphically. I did Google for it but couldn’t find one that fits my need, so I started to build one about a year ago ( I stopped working on it several times for various reasons but now it’s finally functional (not perfect, but enough for now). The website functions a little bit like Pinterest, we both use bookmarklet, a website book mark that executes javascript, to fetch your current webpage. So the following are the typical steps to use EatPaper.

1. Search on Google scholar.

2. Click the bookmark button I made. (You can get the button by clicking “Add a Node” in

3. A dialog pops up and you can store the publication information you found as a node in your graph.

I also made a Chrome extension that has the exact same function.

The website is built using Google App Engine + Google Web Toolkit. If it turns out to be a little bit slow occasionally, please be patient; I have to admit that I don’t have any funding and only pay the minimum amount needed to host the server. Please share it to your friends if you like it. I probably can get more resources if more people use it.

You can leave a message here if you have any opinions, problems or found a bug.

The most cited papers in Computer Vision

In Computer Vision, Paper Talk on February 10, 2012 at 11:10 pm

by gooly (Li Yang Ku)

Although it’s not always the case that a paper cited more contributes more to the field, a highly cited paper usually indicates that something interesting have been discovered. The following are the papers to my knowledge being cited the most in Computer Vision. (updated on 11/24/2013) If you want your “friend’s” paper listed here, just comment below.

Cited by 21528 + 6830 (Object recognition from local scale-invariant features)

Distinctive image features from scale-invariant keypoints

DG Lowe – International journal of computer vision, 2004

Cited by 22181

A threshold selection method from gray-level histograms

N Otsu – Automatica, 1975

Cited by 17671

A theory for multiresolution signal decomposition: The wavelet representation

SG Mallat – Pattern Analysis and Machine Intelligence, IEEE …, 1989

Cited by 17611

A computational approach to edge detection

J Canny – Pattern Analysis and Machine Intelligence, IEEE …, 1986

Cited by 15422

Snakes: Active contour models

M Kass, A Witkin, Demetri Terzopoulos – International journal of computer …, 1988

Cited by 15188

Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images

Geman and Geman – Pattern Analysis and Machine …, 1984

Cited by 11630+ 4138 (Face Recognition using Eigenfaces)

Eigenfaces for Recognition

Turk and Pentland, Journal of cognitive neuroscience Vol. 3, No. 1, Pages 71-86, 1991 (9358 citations)

Cited by 8788

Determining optical flow

B.K.P. Horn and B.G. Schunck, Artificial Intelligence, vol 17, pp 185-203, 1981

Cited by 8559

Scale-space and edge detection using anisotropic diffusion

P Perona, J Malik

Pattern Analysis and Machine Intelligence, IEEE Transactions on 12 (7), 629-639

Cited by 8432 + 5901 (Robust real time face detection)

Rapid object detection using a boosted cascade of simple features

P Viola, M Jones

Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the …

Cited by 8351

Active contours without edges

TF Chan, LA Vese – IEEE Transactions on image processing, 2001

Cited by 7517

An iterative image registration technique with an application to stereo vision

B. D. Lucas and T. Kanade (1981), An iterative image registration technique with an application to stereo vision. Proceedings of Imaging Understanding Workshop, pages 121–130

Cited by 7979

Normalized cuts and image segmentation

J Shi, J Malik

Pattern Analysis and Machine Intelligence, IEEE Transactions on 22 (8), 888-905

Cited by 6658

Histograms of oriented gradients for human detection

N Dalal… – … 2005. CVPR 2005. IEEE Computer Society …, 2005

Cited by 6528

Mean shift: A robust approach toward feature space analysis

D Comaniciu, P Meer – … Analysis and Machine Intelligence, …, 2002

Cited by 5130

The Laplacian pyramid as a compact image code

Burt and Adelson, – Communications, IEEE Transactions on, 1983

Cited by 4987

Performance of optical flow techniques

JL Barron, DJ Fleet, SS Beauchemin – International journal of computer vision, 1994

Cited by 4870

Condensation—conditional density propagation for visual tracking

M Isard and Blake – International journal of computer vision, 1998

Cited by 4884

Good features to track

Shi and Tomasi , 1994. Proceedings CVPR’94., 1994 IEEE, 1994

Cited by 4875

A model of saliency-based visual attention for rapid scene analysis

L Itti, C Koch, E Niebur, Analysis and Machine Intelligence, 1998

Cited by 4769

A performance evaluation of local descriptors

K Mikolajczyk, C Schmid

Pattern Analysis and Machine Intelligence, IEEE Transactions on 27 (10 ..

Cited by 4070

Fast approximate energy minimization via graph cuts

Y Boykov, O Veksler, R Zabih

Pattern Analysis and Machine Intelligence, IEEE Transactions on 23 (11 .

Cited by 3634

Surf: Speeded up robust features

H Bay, T Tuytelaars… – Computer Vision–ECCV 2006, 2006

Cited by 3702

Neural network-based face detection

HA Rowley, S Baluja, Takeo Kanade – Pattern Analysis and …, 1998

Cited by 2869

Emergence of simple-cell receptive field properties by learning a sparse code for natural images

BA Olshausen – Nature, 1996

Cited by 3832

Shape matching and object recognition using shape contexts

S Belongie, J Malik, J Puzicha

Pattern Analysis and Machine Intelligence, IEEE Transactions on 24 (4), 509-522

Cited by 3271

Shape modeling with front propagation: A level set approach

R Malladi, JA Sethian, BC Vemuri – Pattern Analysis and Machine Intelligence, 1995

Cited by 2547

The structure of images

JJ Koenderink – Biological cybernetics, 1984 – Springer

Cited by 2361

Shape and motion from image streams under orthography: a factorization method

Tomasi and Kanade – International Journal of Computer Vision, 1992

Cited by 2632

Active appearance models

TF Cootes, GJ Edwards… – Pattern Analysis and …, 2001

Cited by 2704

Scale & affine invariant interest point detectors

K Mikolajczyk, C Schmid

International journal of computer vision 60 (1), 63-86

Cited by 2025

Modeling and rendering architecture from photographs: A hybrid geometry-and image-based approach

PE Debevec, CJ Taylor, J Malik

Proceedings of the 23rd annual conference on Computer graphics and …

Cited by 1978

Feature extraction from faces using deformable templates

AL Yuille, PW Hallinan… – International journal of computer …, 1992

Cited by 2048

Region competition: Unifying snakes, region growing, and Bayes/MDL for multiband image segmentation

SC Zhu, A Yuille

Pattern Analysis and Machine Intelligence, IEEE Transactions on 18 (9), 884-900

Cited by 2948

Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories

S Lazebnik, C Schmid, J Ponce

Computer Vision and Pattern Recognition, 2006 IEEE Computer Society …

Cited by 2206

Face detection in color images

RL Hsu, M Abdel-Mottaleb, AK Jain – IEEE transactions on pattern …, 2002

Cited by 2148

Efficient graph-based image segmentation

PF Felzenszwalb… – International Journal of Computer …, 2004

Cited by 2112

Visual categorization with bags of keypoints

G Csurka, C Dance, L Fan, J Willamowski, C Bray – Workshop on statistical …, 2004

Cited by 1868

Object class recognition by unsupervised scale-invariant learning

R Fergus, P Perona, A Zisserman

Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE …

Cited by 1945

Recovering high dynamic range radiance maps from photographs

PE Debevec, J Malik

ACM SIGGRAPH 2008 classes, 31

Cited by 1896

A comparison of affine region detectors

K Mikolajczyk, T Tuytelaars, C Schmid, A Zisserman, J Matas, F Schaffalitzky …

International journal of computer vision 65 (1), 43-72

Cited by 1880

A bayesian hierarchical model for learning natural scene categories

L Fei-Fei… – Computer Vision and Pattern …, 2005

Note that the papers I listed here are just the ones that came up to my mind, let me know if I missed any important publications; I would be happy to make the list more complete. Also check out the website I made for organizing papers visually.