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    <title>Forem: Alexander Melde</title>
    <description>The latest articles on Forem by Alexander Melde (@alexandermelde).</description>
    <link>https://forem.com/alexandermelde</link>
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      <title>Forem: Alexander Melde</title>
      <link>https://forem.com/alexandermelde</link>
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      <title>Spooky CSS Scene</title>
      <dc:creator>Alexander Melde</dc:creator>
      <pubDate>Tue, 21 Oct 2025 22:27:12 +0000</pubDate>
      <link>https://forem.com/alexandermelde/spooky-css-scene-2maf</link>
      <guid>https://forem.com/alexandermelde/spooky-css-scene-2maf</guid>
      <description>&lt;p&gt;&lt;em&gt;This is a submission for &lt;a href="https://dev.to/challenges/frontend-2025-10-15"&gt;Frontend Challenge - Halloween Edition, CSS Art&lt;/a&gt;.&lt;/em&gt;&lt;/p&gt;

&lt;h2&gt;
  
  
  Inspiration
&lt;/h2&gt;

&lt;p&gt;Classic Trick or Treat in the Neighborhood - Jack o Laterns, Pumpkins, Ghosts, a Full Moon and some bats.&lt;/p&gt;

&lt;h2&gt;
  
  
  Demo
&lt;/h2&gt;

&lt;p&gt;

&lt;iframe height="600" src="https://codepen.io/melde/embed/wBMmBqE?height=600&amp;amp;default-tab=result&amp;amp;embed-version=2"&gt;
&lt;/iframe&gt;


 &lt;/p&gt;

&lt;h2&gt;
  
  
  Journey
&lt;/h2&gt;

&lt;p&gt;I thought about the scene, described it carefully, and then had some help from AI when implementing it. Finally, I converted it to HAML, which is really convienient when using codepen.&lt;/p&gt;

</description>
      <category>frontendchallenge</category>
      <category>devchallenge</category>
      <category>css</category>
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      <title>Synthetic Data for Action Recognition</title>
      <dc:creator>Alexander Melde</dc:creator>
      <pubDate>Wed, 20 May 2020 13:51:17 +0000</pubDate>
      <link>https://forem.com/alexandermelde/synthetic-data-for-action-recognition-28lm</link>
      <guid>https://forem.com/alexandermelde/synthetic-data-for-action-recognition-28lm</guid>
      <description>&lt;p&gt;I am currently writing my masters thesis about using synthetic videos (generated using game engines) to improve the accuracy of action recognition models.&lt;/p&gt;

&lt;p&gt;Stay tuned for more, i will publish first results soon!&lt;/p&gt;

&lt;h2&gt;
  
  
  Abstract
&lt;/h2&gt;

&lt;p&gt;Human action recognition in public places is a challenging task. In this thesis a new dataset of actions in public places is presented, which was generated by a 3D simulation. It is then shown that the dataset can be used to improve existing action recognition models.&lt;/p&gt;

&lt;h2&gt;
  
  
  My Final Project
&lt;/h2&gt;

&lt;p&gt;will be published on &lt;a href="https://github.com/AlexanderMelde"&gt;https://github.com/AlexanderMelde&lt;/a&gt; after the official examination procedure.&lt;/p&gt;

&lt;h2&gt;
  
  
  How I built it
&lt;/h2&gt;

&lt;p&gt;&lt;em&gt;what's the stack? did I run into issues or discover something new along the way?&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;Currently using Unity Game Engine and Keras, more information will be published here after the official examination procedure.&lt;/p&gt;

&lt;h2&gt;
  
  
  Additional Thoughts / Feelings / Stories
&lt;/h2&gt;

&lt;p&gt;I have the feeling this will lead to a success, stay tuned and follow me here or on &lt;a href="https://github.com/AlexanderMelde"&gt;GitHub&lt;/a&gt; for more information!&lt;/p&gt;

</description>
      <category>octograd2020</category>
      <category>devgrad2020</category>
      <category>showdev</category>
      <category>upcoming</category>
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