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website_template.html
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<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>CVPR 2013 Accepted Papers</title>
<style>
/* CSS */
/*background-color: #C05F24;*/
/*background-color: #e78444;*/
body {
margin: 0;
padding: 0;
font-family: arial;
background-color: #FCFAF1;
/*background-color: #F6F3E5;*/
}
.as {
font-size: 12px;
color: #900;
}
.ts {
font-weight: bold;
font-size: 14px;
}
.tt {
color: #009;
font-size: 13px;
}
.keywords {
font-size: 12px;
color: #0000A0;
}
h1 {
font-size: 20px;
padding: 0;
margin: 0;
}
img {
max-width: 100%;
}
#titdiv {
width: 100%;
height: 130px;
background-color: #C05F24;
/*background-color: #840000;*/
color: white;
padding-top: 20px;
padding-left: 5%;
border-bottom: 1px solid #540000;
}
#maindiv {
width: 970px;
padding: 15px;
margin-left: auto;
margin-right: auto;
border-left: solid 1px #D6D3C5;
border-right: solid 1px #D6D3C5;
background-color: white;
}
.apaper {
margin-top: 25px;
min-height: 300px;
}
.paperdesc {
float: left;
}
.dllinks {
float: right;
text-align: right;
}
#titdiv a:link{ color: white; }
#titdiv a:visited{ color: white; }
#maindiv a:link{ color: #666; }
#maindiv a:visited{ color: #600; }
.t0 { color: #000;}
.t1 { color: #C00;}
.t2 { color: #0C0;}
.t3 { color: #00C;}
.t4 { color: #AA0;}
.t5 { color: #C0C;}
.t6 { color: #0CC;}
.topicchoice {
border: 2px solid black;
border-radius: 10px;
padding: 4px;
cursor: pointer;
text-decoration: underline;
}
#explanation {
/*background-color: #CFC;*/
background-color: #f7a76f;
border-radius: 5px;
color: black;
padding: 5px;
text-align: center;
font-weight: bold;
}
#sortoptions {
text-align: center;
/*padding: 10px;*/
padding: 20px;
}
.sim {
cursor: pointer;
text-decoration: underline;
}
.abstr {
cursor: pointer;
text-decoration: underline;
}
.abstrholder {
background-color: #DFD;
border: 1px solid #BDB;
font-size: 12px;
padding: 10px;
border-radius: 5px;
display: none; /* so that these are hidden initially */
margin-bottom: 5px;
}
</style>
<script src="jquery-1.8.3.min.js"></script>
<script>
// this line below will get filled in with database of LDA topic distributions for top words
// for every paper
LOADDISTS
// this will be filled with pairwise scores between papers
PAIRDISTS
var choices = [0, 0, 0, 1, 1, 0, 0]; // default choices, random...
var similarityMode = 0; // is the user currently looking at papers similar to some one paper?
var similarTo = 0; // the index of query paper
// given choices of topics to sort by, handle user interface stuff (i.e. show selection)
function colorChoices() {
for(var i=0;i<choices.length;i++) {
if(choices[i] == 1) {
$("#tc"+i).css("background-color", "#EFE");
$("#tc"+i).css("border-color", "#575");
} else {
$("#tc"+i).css("background-color", "#FFF");
$("#tc"+i).css("border-color", "#FFF");
}
}
}
// this permutes the divs (that contian 1 paper each) based on a custom sorting function
// in our case, this sort is done as dot product based on the choices[] array
// here we are guaranteed ldadist[] already sums to 1 for every paper
function arrangeDivs() {
var rtable = $("#rtable");
var paperdivs = rtable.children(".apaper");
// normalize choices to sum to 1
var nn = choices.slice(0); // copy the array
var ss = 0.0;
for(var j=0;j<choices.length;j++) { ss += choices[j]; }
for(var j=0;j<choices.length;j++) { nn[j] = nn[j]/ss; }
paperdivs.detach().sort(function(a,b) {
var ixa = parseInt($(a).attr('id').substring(3));
var ixb = parseInt($(b).attr('id').substring(3));
if(similarityMode === 1) {
return pairdists[ixa][similarTo] < pairdists[ixb][similarTo] ? 1 : -1;
}
if(similarityMode === 0) {
// chi-squared kernel for the two histograms
var accuma = 0;
var accumb = 0;
for(var i=0;i<7;i++) {
var ai= ldadist[ixa][i];
var bi= ldadist[ixb][i];
var ci= choices[i];
accuma += (ai-ci)*(ai-ci)/(ai+ci);
accumb += (bi-ci)*(bi-ci)/(bi+ci);
}
return accuma > accumb ? 1 : -1;
/*
// vector distance. These are histograms... but lets pretend they arent
var accuma = 0;
var accumb = 0;
for(var i=0;i<7;i++) {
var ai= ldadist[ixa][i];
var bi= ldadist[ixb][i];
var ci= nn[i];
accuma += (ai-ci)*(ai-ci);
accumb += (bi-ci)*(bi-ci);
}
return accuma > accumb ? 1 : -1;
*/
/*
// inner product distance
var accuma = 0;
var accumb = 0;
for(var i=0;i<7;i++) {
accuma += ldadist[ixa][i] * choices[i];
accumb += ldadist[ixb][i] * choices[i];
}
return accuma < accumb ? 1 : -1;
*/
}
});
rtable.append(paperdivs);
}
// when page loads...
$(document).ready(function(){
arrangeDivs();
colorChoices();
// user clicks on one of the Topic buttons
$(".topicchoice").click(function() {
similarityMode = 0; // make sure this is off
var tcid = parseInt($(this).attr('id').substring(2));
choices[tcid] = 1 - choices[tcid]; // toggle!
colorChoices();
arrangeDivs();
});
// user clicks on "rank by tf-idf similarity to this" button for some paper
$(".sim").click(function() {
similarityMode = 1; // turn on similarity mode
for(var i=0;i<choices.length;i++) { choices[i] = 0; } // zero out choices
similarTo = parseInt($(this).attr('id').substring(3)); // store id of the paper clicked
colorChoices();
arrangeDivs();
// also scroll to top
$('html, body').animate({ scrollTop: 0 }, 'fast');
});
// user clicks on "abstract button for some paper
$(".abstr").click(function() {
var pid = parseInt($(this).attr('id').substring(2)); // id of the paper clicked
var aurl = "abstracts/a" + pid + ".txt";
var holderdiv = "#abholder" + pid;
if($(holderdiv).is(':visible')) {
$(holderdiv).slideUp(); // hide the abstract away
} else {
// do ajax request and fill the abstract div with the result
$.ajax({
url : aurl,
dataType: "text",
success : function (data) {
$(holderdiv).html(data);
$(holderdiv).slideDown();
}
});
}
});
});
</script>
</head>
<body>
<div id ="titdiv">
<h1>CVPR 2013 Papers</h1>
maintained by <a href="http://www.colinlea.com">Colin Lea</a><br/>
adapted from <a href="https://twitter.com/karpathy">@karpathy</a>'s <a href="http://cs.stanford.edu/people/karpathy/nipspreview/">NIPS 2012 guide</a> <br/> <span style="padding-left:67px"> and <a href="https://twitter.com/benhamner">@benhamner</a>'s <a href="http://benhamner.com/icml2013preview/">ICML 2013 guide</a></span><br/>
source code on <a href="https://github.com/colincsl/cvpr2013papers">github</a><br />
data from <a href="http://www.cv-foundation.org/openaccess/CVPR2013.py">here</a>
</div>
<div id="maindiv">
<div id="explanation">The 100 most frequent words in each paper are listed below each entry. Color is based on an LDA topic model with k = 7.<br />
<!-- <div style="font-size: 14px;">(Roughly, topic 0 = dictionary learning, 1 = geometric models, 2 = optimization, 3 = object detection, 4 = activity recognition, 5 = photometry, 6 = scene understanding/human poses) </div> -->
</div>
<div id="sortoptions">
Toggle the topics below to sort by (rough) category:<br/><br/>
<span class="topicchoice t0" id="tc0">(0) dictionary learning</span>
<span class="topicchoice t1" id="tc1">(1) camera/geometric models</span>
<span class="topicchoice t2" id="tc2">(2) optimization</span><br/><br/>
<span class="topicchoice t3" id="tc3">(3) object detection</span>
<span class="topicchoice t4" id="tc4">(4) activity recognition</span>
<span class="topicchoice t5" id="tc5">(5) photometry</span><br/><br/>
<span class="topicchoice t6" id="tc6">(6) scene understanding/human poses</span>
<!-- <span class="topicchoice t0" id="tc0">TOPIC0</span>
<span class="topicchoice t1" id="tc1">TOPIC1</span>
<span class="topicchoice t2" id="tc2">TOPIC2</span>
<span class="topicchoice t3" id="tc3">TOPIC3</span>
<span class="topicchoice t4" id="tc4">TOPIC4</span>
<span class="topicchoice t5" id="tc5">TOPIC5</span>
<span class="topicchoice t6" id="tc6">TOPIC6</span> -->
</div>
<!-- the keyword below will be replaced by content from the python script generatenice.py -->
<div id="rtable">
RESULTTABLE
</div>
</div>
<br /><br /><br /><br /><br /><br />
</body>
</html>