<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Trip Report on Kai Kunze</title><link>https://kaikunze.de/tags/trip-report/</link><description>Recent content in Trip Report on Kai Kunze</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 31 Oct 2012 00:00:00 +0000</lastBuildDate><atom:link href="https://kaikunze.de/tags/trip-report/index.xml" rel="self" type="application/rss+xml"/><item><title>ACM Multimedia 2012 Main Conference Notes</title><link>https://kaikunze.de/2012/10/31/acm-multimedia-2012-day-2-notes/</link><pubDate>Wed, 31 Oct 2012 00:00:00 +0000</pubDate><guid>https://kaikunze.de/2012/10/31/acm-multimedia-2012-day-2-notes/</guid><description>&lt;p&gt;This is a scratchpad &amp;hellip; will fill the rest when I have time.&lt;/p&gt;&#10;&lt;h3 id="papers"&gt;Papers&lt;/h3&gt;&#10;&lt;p&gt;I really enjoyed the work from Heng Liu, Tao Mei et. al.&#10;&amp;ldquo;Finding Perfect Rendezvous On the Go: Accurate Mobile Visual Localization and Its Applications to Routing&amp;rdquo;.&#10;They combine existing research in a very interesting mixture. They use a visual localization method&#10;based on &lt;a href="http://phototour.cs.washington.edu/bundler/"&gt;bundler&lt;/a&gt; to detect where in the city&#10;a mobile phone user is. The application scenario I liked best was their collaborative localization&#10;for rendezvous :)&lt;/p&gt;</description></item></channel></rss>