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We invite submissions of 1) original research papers of unpublished work and 2) extended abstracts of preliminary work.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:
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.
Arthur J. Chick Professor of Electrical Engineering & Computer Sciences (EECS),
University of California at Berkeley.
Rachleff Professor of The Department of Computer and Information Science (CIS),
University of Pennsylvania.
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.
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.