ChaLearnLAP DYAD Challenge @ICCV 2021 : ICCV’2021 Understanding Social Behavior in Dyadic and Small Group Interactions Challenge
Call For Papers
We cordially invite you to participate in our ICCV’2021 Understanding Social Behavior in Dyadic and Small Group Interactions Challenge - http://chalearnlap.cvc.uab.es/challenge/45/description/
Description: to advance and motivate the research on visual human behavior analysis in dyadic and small group interactions, this challenge will use a large scale, multimodal, and multiview (UDIVA) dataset recently collected by our group, which provides many related challenges. It will address two different problems, divided in two competition tracks:
Automatic self-reported personality recognition of single individuals (i.e., a target person) during a dyadic interaction, from two individual views.
Behavior forecasting: the focus of this track will be to estimate future (up to N frames) 2D facial landmarks, hand, and upper body pose of a target individual in a dyadic interaction.
In both tasks, multiview and multimodal information (audio-visual, transcriptions, context and medatada) are expected to be exploited to solve the problem.
Dataset access request period open: 18th May, 2021
Start of the Challenge (development phase): June 1st, 2021
Start of test phase: September 1st, 2021
End of the Challenge: September 17th, 2021
Release of final results: September 30th, 2021
Top winning solutions will be invited to give a talk to present their work at the associated ICCV 2021 ChaLearn workshop (http://chalearnlap.cvc.uab.es/workshop/44/description/). In addition to this, challenge participants, as well as the research community in the field and from related disciplines (e.g. affective computing, social signal processing and human-computer interaction), are invited to submit a paper to be published in Proceedings of Machine Learning Research (PMLR). In line with these, we accept papers addressing the issues related to, but not limited to, these topics:
Challenge related papers, describing their methods and results;
Detection, understanding, modeling and synthesis of individual and interpersonal social signals and dynamics;
Verbal/nonverbal communication analysis in dyadic and small groups;
Contextual analysis in dyadic and small groups;
Datasets, annotation protocols, and bias discovering/mitigation in dyadic and small groups;
Interpretability/explainability in dyadic and small groups;
Paper submission deadline (PMLR): October 31st, 2021
Author notification: November 30th, 2021
Camera-ready: December 20th, 2021
ORGANIZATION and CONTACT*
Sergio Escalera*, Computer Vision Center (CVC) and University of Barcelona, Spain (email@example.com)
Cristina Palmero*, Computer Vision Center (CVC) and University of Barcelona, Spain (firstname.lastname@example.org)
Wei-Wei Tu, 4Paradigm Inc., China
Albert Clapés, Computer Vision Center (CVC), Spain
Julio C. S. Jacques Junior, Computer Vision Center (CVC/UAB), Spain
Sponsors: This event is sponsored by ChaLearn, 4Paradigm Inc., and Facebook Reality Labs. University of Barcelona, Computer Vision Center at Autonomous University of Barcelona, and Human Pose Recovery and Behavior Analysis (HuPBA) group, are the co-sponsors of the Challenge.
Prizes: Top winning solutions will be invited to give a talk to present their work at the associated ICCV 2021 ChaLearn workshop, will receive a winning certificate and will have free ICCV registration. Our sponsors are also offering the following prizes:
Track 1: Top-1 solution: 1000$ / Top-2 solution: 500$ / Top-3 solution: 300$
Track 2: Top-1 solution: 1000$ / Top-2 solution: 500$ / Top-3 solution: 300$
Honorable mention: based on the significance of the result in a particular trait/s (track 1) or body part (track 2) and the level of novelty/originality of the solution, in addition to top-3 solutions, we may announce additional honorable mentions, which will also receive a winning certificate and a free ICCV registration.