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<p class="MsoNormal"><b><span lang="EN-MY"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><b><span lang="EN-MY">The Third Micro-Expression Grand Challenge (MEGC) Workshop</span></b><o:p></o:p></p>
<p class="MsoNormal"><b><i>In Conjunction with </i></b><b><i><span lang="EN-MY">15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), May 18-22, Buenos Aires, Argentina<o:p></o:p></span></i></b></p>
<p class="MsoNormal"><b><i><span lang="EN-MY"><o:p> </o:p></span></i></b></p>
<p class="MsoNormal"><a href="http://megc2020.psych.ac.cn:81/">http://megc2020.psych.ac.cn:81/</a><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Micro-facial expressions (MEs) are involuntary movements of the face that occur spontaneously in a high-stakes environment. Computational analysis and automation of tasks on micro expressions is an emerging area in face research, with a
strong interest appearing as recent as 2014. Only recently, the availability of a few spontaneously induced facial micro-expression datasets has provided the impetus to advance further from the computational aspect. CAS(ME)<sup>2</sup> and SAMM Long Videos
are two facial macro- and micro- expression databases which contain long video sequences. While much research has been done on short videos, there has been not many attempts to spot micro-expressions on long videos. This workshop is organized with the aim
of promoting interactions between researchers and scholars from within this niche area of research, and also those from broader, general areas of computer vision and psychology research.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b>AGENDAS</b><o:p></o:p></p>
<p class="MsoNormal">1. To organize the third Grand Challenge for facial micro-expression research, involving
<b>spotting macro- and micro-expression on long videos </b>in CAS(ME)<sup>2 </sup>
and SAMM. <o:p></o:p></p>
<p class="MsoNormal">2. To solicit original works that address a variety of challenges of ME research, but not limited to:
<o:p></o:p></p>
<ul style="margin-top:0cm" type="disc">
<ul style="margin-top:0cm" type="disc">
<li class="MsoNormal" style="margin-bottom:8.0pt;text-align:justify;text-justify:inter-ideograph;line-height:106%;mso-list:l0 level2 lfo1">
ME spotting/detection by using self-supervised learning<o:p></o:p></li><li class="MsoNormal" style="margin-bottom:8.0pt;text-align:justify;text-justify:inter-ideograph;line-height:106%;mso-list:l0 level2 lfo1">
ME recognition by using self-supervised learning<o:p></o:p></li><li class="MsoNormal" style="margin-bottom:8.0pt;text-align:justify;text-justify:inter-ideograph;line-height:106%;mso-list:l0 level2 lfo1">
ME feature representation and computational analysis<o:p></o:p></li><li class="MsoNormal" style="margin-bottom:8.0pt;text-align:justify;text-justify:inter-ideograph;line-height:106%;mso-list:l0 level2 lfo1">
Unified ME spot-and-recognize schemes<o:p></o:p></li><li class="MsoNormal" style="margin-bottom:8.0pt;text-align:justify;text-justify:inter-ideograph;line-height:106%;mso-list:l0 level2 lfo1">
Deep learning techniques for MEs spotting and recognition<o:p></o:p></li><li class="MsoNormal" style="margin-bottom:8.0pt;text-align:justify;text-justify:inter-ideograph;line-height:106%;mso-list:l0 level2 lfo1">
MEs data analysis and synthesis<o:p></o:p></li><li class="MsoNormal" style="margin-bottom:8.0pt;text-align:justify;text-justify:inter-ideograph;line-height:106%;mso-list:l0 level2 lfo1">
New datasets for MEs<o:p></o:p></li><li class="MsoNormal" style="margin-bottom:8.0pt;text-align:justify;text-justify:inter-ideograph;line-height:106%;mso-list:l0 level2 lfo1">
Psychology of MEs<o:p></o:p></li></ul>
</ul>
<p class="MsoNormal"><b><o:p> </o:p></b></p>
<p class="MsoNormal"><b>SUBMISSIONS</b><o:p></o:p></p>
<p class="MsoNormal">Detail of the three challenges can be found in the <a href="http://megc2020.psych.ac.cn:81/">
workshop website</a>, Challenge submissions should be accompanied by a paper submission.<o:p></o:p></p>
<p class="MsoNormal">Workshop paper format should adhere to the paper submission guidelines for FG2020:
<a href="https://fg2020.org/instructions-of-paper-submission-for-review/">https://fg2020.org/instructions-of-paper-submission-for-review</a><a href="https://fg2020.org/instructions-of-paper-submission-for-review/">/</a><o:p></o:p></p>
<p class="MsoNormal">Submission website: <a href="https://cmt3.research.microsoft.com/MEGC2020">
https://cmt3.research.microsoft.com/MEGC2020</a><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b>Important Dates</b><o:p></o:p></p>
<p class="MsoNormal"><b>Submission Deadline:</b> 31 Jan 2020<o:p></o:p></p>
<p class="MsoNormal"><b>Notification:</b> 14 Feb 2020<o:p></o:p></p>
<p class="MsoNormal"><b>Camera-Ready: </b>28 Feb 2020<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b>Organizing Chairs </b><o:p></o:p></p>
<p class="MsoNormal"><b>Su-Jing Wang</b> Chinese Academy of Sciences, China <o:p>
</o:p></p>
<p class="MsoNormal"><b>Moi Hoon Yap</b> Manchester Metropolitan University, UK<o:p></o:p></p>
<p class="MsoNormal"><b>John See</b> Multimedia University, Malaysia <o:p></o:p></p>
<p class="MsoNormal"><b>Xiaopeng Hong</b> Xi’an Jiaotong University, China<o:p></o:p></p>
<p class="MsoNormal"><b>Xiaobai Li </b>University of Oulu, Finland<o:p></o:p></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Many thanks<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Best regards<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Moi Hoon<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">Dr. Moi Hoon Yap <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">Reader in Computer Vision<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">Lead, Human-Centred Computing<o:p></o:p></span></p>
<p class="MsoNormal"><i><span style="font-size:10.0pt;font-family:Helvetica;color:black">Address:</span></i><span style="font-size:10.0pt;font-family:Helvetica;color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">Manchester Metropolitan University | John Dalton Building (E129) | Chester Street | Manchester | M1 5GD<br>
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