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    Call for Papers

    The Second Facial Micro-Expression Grand Challenge (MEGC): Spotting and Recognition

    Download Call for Papers (pdf version).

    Update: The first place winner will receive an award from our sponsor - Image Metrics Ltd.

    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 Facial Micro-Movement Dataset (SAMM) with 159 MFEs at 200 fps. In addition, there is recent interest in acquiring “in-the-wild” datasets to further introduce real-world scenarios. While much research has been done on these datasets individually, there have been little attempts to introduce a more rigorous and realistic evaluation to work done in this domain. This is the second 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.

    This workshop has three main agendas:

    1. To solicit original works that address a variety of challenges of ME research, but not limited to:
      • ME spotting/detection
      • ME recognition
      • ME feature representation and computational analysis
      • Unified ME spot-and-recognize schemes
      • Deep learning techniques for MEs spotting and recognition
      • MEs data analysis and synthesis
      • New datasets for MEs
      • Psychology of MEs

    2. To organise the first Micro-Expression Spotting Challenge.
    3. To organise the Second Challenge on Cross-Database Micro-Expression Recognition.


    Important Dates

    Submission deadline: 27 January 2019 4 February 2019 (final)

    Notification: 12 February 2019 21 February 2019

    Camera-ready: 15 February 2019 26 February 2019


    Workshop paper format should adhere to the paper submission guidelines for FG 2019: http://fg2019.org/participate/regular-papers

    Submission website: https://cmt3.research.microsoft.com/MEGC2019


    Team member 1

    Moi Hoon Yap

    Manchester Metropolitan University,UK, m.yap@mmu.ac.uk

    Team member 2

    Sujing Wang

    Chinese Academy of Sciences, China, wangsujing@psych.ac.cn

    Team member 3

    John See

    Multimedia University, Malaysia, johnsee@mmu.edu.my

    Team member 4

    Xiaopeng Hong,

    University of Oulu, Finland, hongxiaopeng.cn@gmail.com

    Program Chair:

    Team member 4

    Connah Kendrick,

    Manchester Metropolitan University,England,UK

    Student Volunteers:

    Team member 4


    Jireh Jam

    Team member 4


    Jingting Li

    Team member 4


    Huai Qian Khor

    Advisory Panel:

    Xiaolan Fu,Chinese Academy of Sciences,China

    Guoying Zhao,University of Oulu,Finland

    Keynote Speaker

    Dr. Yannick Benezeth
    Title: Emotional state recognition using pulse rate variability on CAS(ME)^2: comparison with micro-expressions.

    Program schedule (Tentative)

    Download Workshop Full Program.

    Date and Time: 14th May 2019 (Tuesday) afternoon session
    Opening from the Chairs and Sponsor
    SAMM and CAS Micro-expressions datasets updates
    Spotting Challenge and Regular Papers
    Tea break
    Invited Talk: Dr. Yannick Benezeth
    Recognition Challenge Papers
    Awards (Prizes sponsored by Image Metrics Ltd): Winners announcement and Summary from the Chairs
    Panel discussion and brainstorming for the next steps

    Program Committee:

    Adrian Keith Davison, University of Manchester, UK

    Daniel Leightley, King’s College London, UK

    Yandan Wang, Wenzhou University, China

    Sze Teng Liong, Feng Chia University, Taiwan

    Walied Merghani, Sudan University of Science and Technology, Sudan

    Xiaoyi Feng, Northwestern Polytechnical University, Xi’an, China

    Choon-Ching Ng, PRDCSG, Singapore

    Hongying Meng, Brunel University, UK

    Zhen Cui, Nanjing University of Science and Technology, China

    Zhaoqiang Xia, Northwestern Polytechnical University, China

    Yannick Benezeth, Univ Bourgogne Franche-Comté

    Tong Chen, Southwest University, China