Competition Track of the 15th IEEE International Conference on Automatic Face and gesture recognition Call for Papers

(Apologies for cross postings)



Competition Track of the 15th IEEE International Conference on
Automatic Face and gesture recognition

May 18-22, 2020; Buenos Aires, Argentina



We invite proposals for the 2020 IEEE International Conference on
Automatic Face and gesture recognition (FG 2020) competition track to
be held in Buenos Aires,Argentina. After the success of the past
years, a new edition of the competition track will be held at FG
2020. We solicit competition proposals on any topic of interest to the
FG community. We especially encourage competition proposals from
emerging new fields or new application domains related to
FG. Interdisciplinary topics that will attract a significant
cross-section of the community are especially highly encouraged.

There will be two types of competitions:

    Standard data science competitions, where participants will
    compete to obtain the best score on a machine learning task of
    interest to the FG community based on a problem and data defined
    and released by the organizers of the competition.

    Live competitions, which will be held in a “science-fair”
    manner at FG 2020. Participants will present live demos at FG 2020
    which apply methodology to an application domain defined by the
    organizers of the live competition.

There will be a competition track at FG 2020, co-located with the
conference workshops, where competition results will be presented and
discussed. Competition organizers will be asked to propose a tentative
schedule for presentation of the competition and its results during an
assigned time slot; FG will provide coffee breaks and, if necessary,
poster facilities.


Reviewing and selection process


A competition program committee will be formed, consisting of experts
on the scope of the conference and on challenge organization. Each
proposal will be reviewed by at least three members of the
committee. The factors that will be considered when evaluating
proposals include:

    Task chosen: Impact, originality, relevance to the FG community
    will all be considered. Tasks that include humanitarian and/or
    positive societal impact are especially highly encouraged this
    year, although other topics relevant to the FG community will also
    be considered. If humanitarian projects are submitted, the
    involvement of the community in question is strongly desired, and
    “parachute science” is strongly discouraged.

    Protocol of competition: Feasibility of the task chosen, soundness
    of the evaluation criteria, and clarity and fairness of the
    competition rules will all be considered.

    Logistics: Schedule, plan for attracting competition participants,
    and experience and diversity of the organizers will all be
    considered. The specific plan for attracting participants of
    groups under-represented at FG will be considered.



Proposal preparation and submission


Standard data science and live competition proposals must both be
submitted via CMT at:

Please carefully follow the provided Latex template when preparing


Important dates


    Competition proposal submission deadline: September 15, 2019 (extended)

    Acceptance notification: September 30, 2019

    Competition track: May, 2020


Additional comments 


    Competition organizers should propose a timeline for running the
    competition to ensure that participants have enough time to
    contribute a high-quality entries. It is recommended that
    competitions be completed by the end of February, 2020 at the
    absolute latest.

    Competition organizers that require help or suggestions regarding
    competition platforms for running the competition can contact the
    competition chair for advice.


Previous competitions


    2019 accepted competitions:

    2018 accepted competitions:


Competition chairs


Hugo Jair Escalante, INAOE, CINVESTAV, Mexico, ChaLearn, USA

Isabelle Guyon, Université Paris-Saclay (UPSud/INRIA), France, ChaLearn, USA,