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  • 02/20/2020 - Workshop is announced, with invited speakers confirmed.
  • Introduction

    Understanding human bodily expressed emotion is of great importance in the field of computer vision, robotics, psychology/psychiatry, and graphics. This BEEU workshop focuses on computer vision and machine learning methods for understanding human bodily expressed emotion.

    We invite submissions of 1) original research papers of unpublished work and 2) extended abstracts of preliminary work. The papers will be peer-reviewed and, if accepted, published in the ECCV workshop proceedings. Accepted submissions will be presented as orals/posters/spotlights at the workshop. The covered topics include but are not limited to:

  • Bodily expression open datasets
  • Computer vision methods to understand bodily expression
  • Expressive human pose representation
  • Human movements coding system
  • Applications in robotics, autonomous driving, and medicine, etc.
  • Algorithmic fairness and data ethics related to emotion modeling
  • Data sharing and open science with human subject data

  • We invite submissions of results to a challenge based on the BoLD (Body Language Dataset). Please visit the challenge website to learn more about the dataset. We have defined an evaluation protocol. The results will be announced during the workshop and the authors of the winning methods will be invited to present their approaches. A paper with an analysis of the results will be published in the workshop proceedings for a selected few winning teams.

    We expect that 70% of the accepted papers will be from the regular paper and abstract tracks and 30% from the challenge track.


    To be announced.



    Jitendra Malik

    Arthur J. Chick Professor of Electrical Engineering & Computer Sciences (EECS),
    University of California at Berkeley.


    Norman Badler

    Rachleff Professor of The Department of Computer and Information Science (CIS),
    University of Pennsylvania.


    Nikolaus Troje

    Professor of Department of Biology,
    York University.


    Agata Lapedriza

    MIT Media Lab & Associate Professor from Universitat Oberta de Catalunya.


    Xin Lu (tentative)

    Engineering Manager and Scientist,
    Adobe Research.

    Important Dates

    Paper submission deadline (research paper and abstract tracks): 4 July 2020 (16:59 US Pacific Time or 23:59 UTC-0)
    Paper submission deadline (challenge track): 4 August 2020 (16:59 US Pacific Time or 23:59 UTC-0)
    Paper acceptance notification: 20 August 2020
    Camera-ready submission deadline: 12 September 2020 (16:59 US Pacific Time or 23:59 UTC-0)
    Workshop date: 23 August 2020 (morning)


    Papers accepted by the workshop will be published in the ECCV 2020 workshop proceedings, along with other ECCV 2020 workshops. Submissions must use the ECCV 2020 LaTeX or Word templates. All submissions will be handled electronically via the MSR CMT system. (https://cmt3.research.microsoft.com/BEEU2020) Authors will be required to transfer copyrights for any papers published in the conference proceedings.

    For any submission that is based on a declined submission to the main ECCV 2020 conference, authors are required to submit a copy of the reviews from the main conference along with a statement documenting any changes made in the workshop submission from the original ECCV submission to address the review comments.

    Call for Papers

  • As with the ECCV main conference, papers must be no more than 14 pages (excluding references).
  • Submissions will be subjected to a double blind peer review process. Authors should guarantee that a substantially similar work has not been previously published nor is under review.

  • Call for Extended Abstracts

  • In addition to regular papers, we also invite extended abstracts of ongoing, unfinished preliminary work. This can be an opportunity for researchers to promote their new ideas to an interested audience.
  • Extended abstracts are limited to 4 pages, including references.

  • Call for Challenge Participation

  • We invite authors to submit empirical results to our challenge based on the BoLD dataset.
  • Authors are strongly encouraged to concurrently submit a paper describing the methods to the workshop.
  • If a paper is submitted, it must be no more than 14 pages (excluding references).
  • Top-performing results will be accepted to present at the workshop.

  • Organizers

    James Z. Wang, College of Information Sciences and Technology, Penn State University, jwang (at) ist.psu.edu
    Reginald B. Adams, Jr., Department of Psychology, Penn State University, rba10 (at) psu.edu
    Yelin Kim, Amazon Lab 126, kimyelin (at) amazon.com

    Others contributed to the workshop organization are: Jia Li, Yu Luo, Michelle G. Newman, and Sarah M. Rajtmajer of Penn State University.

    Contact Us

    James Z. Wang
    College of Information Sciences and Technology
    E354 Westgate Building, Penn State, University Park, PA 16802
    Email: jwang (at) ist.psu.edu Please use subject line "BEEU2020".