[visionlist] CFP: Facial Micro-Expression Grand Challenge (MEGC) at IEEE FG 2018

[John See]

CALL FOR PAPERS:
*Workshop on Facial Micro-Expression Grand Challenge (MEGC): Methods and
Datasets *
in conjunction with the *13th IEEE Conference on Automatic Face and Gesture
Recognition (FG) 2018*
- Xi'An, China, 15-19 May 2018.

*http://www2.docm.mmu.ac.uk/STAFF/m.yap/FG2018Workshop.htm
<http://www2.docm.mmu.ac.uk/STAFF/m.yap/FG2018Workshop.htm>*

* Workshop Description *
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. Particularly comprehensive are two state-of-the art FACS coded
datasets: the Chinese Academy of
Sciences Micro-Expression Database II (CASME II) with 247 MFEs at 200 fps
and the Spontaneous Micro-Facial
Movement Dataset (SAMM) with 159 MFEs at 200 fps. While much research has
been done on these datasets
individually, there has been no attempts to introduce a more rigorous and
realistic evaluation to work done in
this domain.

This is the *inaugural workshop* in this area of research, with the aim of
promoting interactions between
researchers and scholars from within this niche area of research, and also
including those from broader,
general areas of expression and psychology research.

This workshop has two main agenda:

1. To organize the first Grand Challenge for facial micro-expression
research, involving CASME II-SAMM
cross-database recognition of micro-expression classes. Download the
guidelines here: http://bit.ly/MEGC-Guidelines

2. To solicit original works that address a variety of challenges of ME
research, but not limited to:

- ME detection/spotting
- ME recognition
- ME feature representation and computational analysis
- Unified ME spot-and-recognize schemes
- Deep learning techniques for MEs detection and recognition
- New objective classes for MEs analysis
- New MEs datasets, ME data synthesis
- Psychology of MEs research

CFP: http://bit.ly/MEGC-CFP

* Submission *
Submission site is open, and accessible at:
*https://cmt3.research.microsoft.com/MEGC2018
<https://cmt3.research.microsoft.com/MEGC2018>*

Each paper will be reviewed by at least two reviewers from the TPC or
external experts
in double-blind fashion. The submitted papers 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.

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) in IEEE FG 2018 paper
format. Accepted
papers will be included in the Proceedings of IEEE FG 2018 and Workshops
and will be sent
for inclusion into the IEEE Xplore digital library.

* Dates *
4 February: Submission deadline
26 February: Notification of acceptance
4 March:  Camera ready submission
15 May: Tentative workshop date (TBC)


* People *
*Organizing Chairs*
Moi Hoon Yap, Manchester Metropolitan University, UK (m.yap at mmu.ac.uk)
Sujing Wang, Chinese Academy of Sciences, China
John See, Multimedia University, Malaysia
Xiaopeng Hong, University of Oulu, Finland
Stefanos Zafeiriou, Imperial College London, UK

*Challenge Enquiries: *
John See, Multimedia University, Malaysia
johnsee at mmu.edu.my

*Submission Enquiries: *
Xiaopeng Hong, University of Oulu, Finland
Xiaopeng.Hong at oulu.fi

*Program Committee*
Adrian Keith Davison, University of Manchester, UK
Daniel Leightley, King’s College London, UK
Anh Cat Le Ngo, University of Nottingham, UK
Sze Teng Liong, Xiamen University, Malaysia
Walied Merghani, Sudan University of Science and Technology, Sudan
Xiaoyi Feng, Northwestern Polytechnical University, Xi’an, China
Ruiping Wang, Institute of Computing Technology, Chinese Academy of
Sciences, China
Xiaobai Li, University of Oulu, Finland
Wenjing Yan, Wenzhou University, China
Choon-Ching Ng, PRDCSG, Singapore
Hongying Meng, Brunel University, UK


*Advisory Panel*
Xiaolan Fu, Chinese Academy of Sciences, China
Guoying Zhao, University of Oulu, Finland


--
John See, Ph.D
Visual Processing Lab
Faculty of Computing and Informatics
Multimedia University, Malaysia
url: http://pesona.mmu.edu.my/~johnsee
lab: http://viprlab.github.io
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