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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">[Happy New Year! Apologies if you receive multiple copies of this CFP] <o:p></o:p></span></p>
<p class="MsoNormal"><span class="gmail-il"><span style="font-size:10.0pt;font-family:Helvetica;color:black"><o:p> </o:p></span></span></p>
<p class="MsoNormal"><span class="gmail-il"><span style="font-size:10.0pt;font-family:Helvetica;color:black">CALL</span></span><span style="font-size:10.0pt;font-family:Helvetica;color:black"> FOR <span class="gmail-il">PAPERS</span>: <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family:Helvetica;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:13.5pt;font-family:Helvetica;color:black">The 3rd Facial Micro-Expression Grand Challenge (<span class="gmail-il">MEGC</span>) Workshop: New Learning Methods for Spotting and Recognition</span></b><span style="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">in conjunction with the <b>15th IEEE Conference on Automatic Face and Gesture Recognition (FG) 2020</b><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">- Buenos Aires, Argentina, 18-22 May 2020.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black"><a href="http://megc2020.psych.ac.cn:81">http://megc2020.psych.ac.cn:81</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="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">Facial micro-expressions (MEs) are involuntary movements of the face that occur spontaneously when a person experiences an emotion but attempts to suppress or repress the
facial expression, typically found in a high-stakes environment. As such, the duration of MEs is very short with the general duration of not more than 500 milliseconds (ms), and is the telltale sign that distinguishes them from a normal facial expression.
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. This is the third edition of this workshop, which aims to promote interactions between researchers and scholars not only from within this niche area of facial micro-expression research,
but also including those from broader, general areas of expression and psychology research.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:10.0pt;font-family:Helvetica;color:black">This workshop has two main agendas:<o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">1. To organize the</span><span style="font-size:10.0pt;font-family:Helvetica;color:black;background:white">
</span><span style="font-size:10.0pt;font-family:Helvetica;color:black;background:white">Grand Challenge for facial micro-expression research: spotting macro- and micro expressions on long videos:
<a href="https://ieeexplore.ieee.org/abstract/document/7820164/">CAS(ME)2</a> and
<a href="https://arxiv.org/abs/1911.01519">SAMM Long Videos.</a><o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:10.0pt;font-family:Helvetica"> <span style="color:red">NEW Updates</span>: Baseline Method and results is available:
<a href="https://arxiv.org/abs/1912.11985">Click here</a><o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">2.To solicit original works that addresses a variety of challenges in ME research, but not limited to:<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">- ME Spotting / Detection<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">- ME Recognition<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">- ME Feature Representations & Computational Analysis<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">- Unified ME Spot-and-Recognize schemes<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">- Deep Learning Techniques for ME Analysis<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">- ME Data Synthesis<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">- New ME Datasets<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">- Real-world Applications of ME<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">- Computational Linkages to Psychology / Neuroscience in MEs<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black"><br>
SUBMISSIONS <br>
Submission site is open, and accessible at:<br>
</span><u><span style="font-size:10.0pt;font-family:Helvetica;color:#1155CC">https://cmt3.research.microsoft.com/MEGC2020</span></u><span style="font-size:10.0pt;font-family:Helvetica;color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><u><span style="font-size:10.0pt;font-family:Helvetica;color:#1155CC"><br>
</span></u><span style="font-size:10.0pt;font-family:Helvetica;color:black">Each paper will be reviewed by at least two reviewers from the TPC or external experts in "double-blind" fashion, and so the submitted version of the paper should be appropriately anonymized
not to reveal the authors or authors’ institutions. The submitted <span class="gmail-il">papers</span> should present original work, not currently under review elsewhere and should have no substantial overlap with already published work. All challenge entries
should be accompanied by a paper submission.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black"><br>
Submissions (in PDF) can either be in the form of a short paper (max 4 pages + 1 page for reference) or long paper (no more than 8 pages including references) in IEEE <span class="gmail-m5622539067052612886gmail-il">FG</span> 2019 paper format. For further
instructions:</span><span style="font-size:10.0pt"> </span><span style="font-size:10.0pt;font-family:Helvetica;color:black"><a href="https://fg2020.org/instructions-of-paper-submission-for-review/">https://fg2020.org/instructions-of-paper-submission-for-review/</a>.
Workshop papers presented at FG 2019 will appear in the IEEE Xplore digital library. If a paper is accepted, it is assumed that an author will register and attend the workshop to present the paper. (Papers that are not presented will not be published in the
proceedings.)<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal" style="margin-bottom:12.0pt"><b><span style="font-size:10.0pt;font-family:Helvetica;color:black">Dates</span></b><span style="font-size:10.0pt;font-family:Helvetica;color:black"><br>
</span><b><span style="font-size:10.0pt;font-family:Helvetica;color:red">06 February 2020: Submission deadline</span></b><span style="font-size:10.0pt;font-family:Helvetica;color:black"><br>
14 February 2020: Notification of acceptance<br>
28 February 2020: Camera ready submission<o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:10.0pt;font-family:Helvetica;color:black">Organizing Chairs</span></b><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">Sujing Wang, Chinese Academy of Sciences, China<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">Moi Hoon Yap, Manchester Metropolitan University, UK <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">John See, Multimedia University, Malaysia<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">Xiaopeng Hong, Xi’an Jiaotong University, China<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">Xiaobai Li, University of Oulu, Finland<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black"><br>
<b>Advisory Panel</b><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">Xiaolan Fu, Chinese Academy of Sciences, China <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">Guoying Zhao, University of Oulu, Finland<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family:Helvetica;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="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">For further enquiries, please contact Sujing Wang (<a href="mailto:wangsujing@psych.ac.cn">wangsujing@psych.ac.cn</a>) or Moi Hoon Yap (<a href="mailto:m.yap@mmu.ac.uk">m.yap@mmu.ac.uk</a>)
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family:Helvetica;color:black">===<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica">Many thanks<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica"><br>
Best regards<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica">Moi Hoon<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black">Dr. Moi Hoon Yap <br>
Reader in Computer Vision<br>
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"><br>
Manchester Metropolitan University | John Dalton Building (E129) | Chester Street | Manchester | M1 5GD<br>
<i>Telephone:</i> (+44) 0161 247 1503 | <i>Facsimile:</i> (+44) 0161 247 6840<br>
<i>Website: </i><a href="http://www2.docm.mmu.ac.uk/STAFF/M.Yap/"><span style="color:#0563C1">http://www2.docm.mmu.ac.uk/STAFF/M.Yap/</span></a><o:p></o:p></span></p>
<p class="MsoNormal"><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">We welcome your participation:<br>
The Third Facial Micro-expressions Grand Challenge: </span><span style="font-size:10.0pt;font-family:Helvetica"><a href="http://megc2020.psych.ac.cn:81/"><span style="color:#0563C1">http://megc2020.psych.ac.cn:81/</span></a><span style="color:black"><o:p></o:p></span></span></p>
<p class="MsoNormal"><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">Our research are reproducible, datasets and software are available at:<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black"><a href="http://www2.docm.mmu.ac.uk/STAFF/M.Yap/dataset.php"><span style="color:#0563C1">http://www2.docm.mmu.ac.uk/STAFF/M.Yap/dataset.php</span></a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Helvetica;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
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