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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en">
<head>
<title>Antonis Karakottas</title>
<meta http-equiv="Content-Type" content="text/html;charset=UTF-8" />
<link href="https://fonts.googleapis.com/css2?family=Poppins:wght@400;700&display=swap" rel="stylesheet">
<link rel="stylesheet" type="text/css" media="screen" href="css/main.css" />
</head>
<body>
<div id="about">
<div class="author">
<img id="picture" src="images/me_.jpg" alt="author-img" />
<ul id="contact">
<li><span>Website</span> <strong><a href="ankarako.github.io">ankarako.github.io</a></strong></li>
<li><span>Email</span> <strong>[email protected]</strong></li>
<li><span>Email</span> <strong>[email protected]</strong></li>
<li><span>Email</span> <strong>[email protected]</strong></li>
<li><span>linkedin</span> <strong><a href="https://www.linkedin.com/in/antonis-karakottas-09044454/">Find me on linked in.</a></strong></li>
</ul>
</div>
<div id="story">
<h1>Antonis Karakottas</h1>
<p>
Welcome to my personal page. I am a Computer Vision/Graphics PhD candidate and a member of <a href="https://mug.ee.auth.gr/">MUG</a> at the <a href="http://ee.auth.gr/en/">Aristotle University of Thessaloniki</a> (AUTH).
I also work as a Research Associate at <a href="https://www.iti.gr/iti/index.html">ITI</a>'s <a href="https://vcl3d.github.io/">VCL3D</a> lab, at <a href="https://www.certh.gr/">CERTH</a>.
I received my Electrical and Computer Engineering Diploma from the Aristotle University of Thessaloniki, Greece, with my diploma thesis being supervised by the one and only
Dr. Leontios Hadjileontiades. I used to work as a sound engineer and producer for 5 years while I was studying.
</p>
</div>
</div>
<div class="section">
<!-- -->
<!-- Publications -->
<!-- -->
<h2>Publications</h2>
<div class="item">
<button class="accordion">
<div class="flex_title">
<h3>Spherical View Synthesis for Self-Supervised 360<sup>o</sup> Depth Estimation</h3>
<p class="when">2019</p>
</div>
</button>
<div class="panel">
<div class="description">
<p>
Zioulis, N., Karakottas, A., Zarpalas, D., Alvarez, F. and Daras, P., 2019, September.
Spherical view synthesis for self-supervised 360° depth estimation.
In <i>2019 International Conference on 3D Vision (3DV)</i> (pp. 690-699). IEEE.
</p>
</div>
<div class="code_box">
<code>
@inproceedings{zioulis2019spherical,
title={Spherical view synthesis for self-supervised 360° depth estimation},
author={Zioulis, Nikolaos and Karakottas, Antonis and Zarpalas, Dimitrios and Alvarez, Federico and Daras, Petros},
booktitle={2019 International Conference on 3D Vision (3DV)},
pages={690--699},
year={2019},
organization={IEEE}
}
</code>
</div>
</div>
</div>
<!--acc 2-->
<div class="item">
<button class="accordion">
<div class="flex_title">
<h3>360<sup>o</sup> Surface Regression with a Hyper-Sphere Loss</h3>
<p class="when">2019</p>
</div>
</button>
<div class="panel">
<div class="description">
<p>
Karakottas, A., Zioulis, N., Samaras, S., Ataloglou, D., Gkitsas, V., Zarpalas, D. and Daras, P., 2019, September.
360° surface regression with a hyper-sphere loss.
In <i>2019 International Conference on 3D Vision (3DV)</i> (pp. 258-268). IEEE.
</p>
</div>
<div class="code_box">
<code>
@inproceedings{karakottas2019360,
title={360° surface regression with a hyper-sphere loss},
author={Karakottas, Antonios and Zioulis, Nikolaos and Samaras, Stamatis and Ataloglou, Dimitrios and Gkitsas, Vasileios and Zarpalas, Dimitrios and Daras, Petros},
booktitle={2019 International Conference on 3D Vision (3DV)},
pages={258--268},
year={2019},
organization={IEEE}
}
</code>
</div>
</div>
</div>
<!--end 2-->
<!--acc 3-->
<div class="item">
<button class="accordion">
<div class="flex_title">
<h3>A Low-Cost, Flexible and Portable Volumetric Capturing System</h3>
<p class="when">2018</p>
</div>
</button>
<div class="panel">
<div class="description">
<p>
Sterzentsenko, V., Karakottas, A., Papachristou, A., Zioulis, N., Doumanoglou, A., Zarpalas, D. and Daras, P., 2018, November.
A low-cost, flexible and portable volumetric capturing system.
In <i>2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)</i> (pp. 200-207). IEEE.
</p>
</div>
<div class="code_box">
<code>
@inproceedings{sterzentsenko2018low,
title={A low-cost, flexible and portable volumetric capturing system},
author={Sterzentsenko, Vladimiros and Karakottas, Antonis and Papachristou, Alexandros and Zioulis, Nikolaos and Doumanoglou, Alexandros and Zarpalas, Dimitrios and Daras, Petros},
booktitle={2018 14th International Conference on Signal-Image Technology \& Internet-Based Systems (SITIS)},
pages={200--207},
year={2018},
organization={IEEE}
}
</code>
</div>
</div>
</div>
<!--end 3-->
<!--acc 4-->
<div class="item">
<button class="accordion">
<div class="flex_title">
<h3>360D: A dataset and baseline for dense depth estimation from 360<sup>o</sup> images</h3>
<p class="when">2018</p>
</div>
</button>
<div class="panel">
<div class="description">
<p>
Karakottas, A., Zioulis, N., Zarpalas, D. and Daras, P., 2018, September.
360D: A Dataset and Baseline for Dense Depth Estimation from 360 Images.
In <i>1st Workshop on 360o Perception and Interaction, European Conference on Computer Vision (ECCV)</i>, Munich, Germany (pp. 8-14).
</p>
</div>
<div class="code_box">
<code>
@inproceedings{karakottas2018360d,
title={360D: A Dataset and Baseline for Dense Depth Estimation from 360 Images},
author={Karakottas, Antonis and Zioulis, Nikolaos and Zarpalas, Dimitrios and Daras, Petros},
booktitle={1st Workshop on 360o Perception and Interaction, European Conference on Computer Vision (ECCV), Munich, Germany},
pages={8--14},
year={2018}
}
</code>
</div>
</div>
</div>
<!--end 4-->
<!--acc 5-->
<div class="item">
<button class="accordion">
<div class="flex_title">
<h3>OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas</h3>
<p class="when">2018</p>
</div>
</button>
<div class="panel">
<div class="description">
<p>
Zioulis, N., Karakottas, A., Zarpalas, D. and Daras, P., 2018.
Omnidepth: Dense depth estimation for indoors spherical panoramas.
In <i>Proceedings of the European Conference on Computer Vision (ECCV)</i> (pp. 448-465).
</p>
</div>
<div class="code_box">
<code>
@inproceedings{zioulis2018omnidepth,
title={Omnidepth: Dense depth estimation for indoors spherical panoramas},
author={Zioulis, Nikolaos and Karakottas, Antonis and Zarpalas, Dimitrios and Daras, Petros},
booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
pages={448--465},
year={2018}
}
</code>
</div>
</div>
</div>
<!--end 5-->
</div> <!--End of Section-->
<div class="section">
<!-- -->
<!-- Funding -->
<!-- -->
<h2>Funding</h2>
<div class="item">
<button class="accordion">
<div class="flex_title">
<h3>EITHOS</h3>
<p class="when">2022</p>
</div>
</button>
<div class="panel">
<div class="description">
<p>
Horizon Europe project,
</p>
</div>
</div>
</div>
</div> <!--End of Section-->
<div id="footer">
<p> © Copyright <script type="text/javascript"> document.write(new Date().getFullYear()); </script> All rights reserved. </p>
<!-- Don't remove this link. Respect the designer. If you want to remove it, shoot me an email [email protected] -->
</div>
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var i;
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</body>
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