********************************************************************CALL FOR PAPERS - HBU 202111th International Workshop on Human Behavior Understanding (HBU)Focus theme: Multi-source aspects of behavioral understandingHeld in conjunction with WACV 2021https://lmi.fe.uni-lj.si/hbu2021Paper submission deadline: November 2nd, 2020Notifications: November 18th, 2020*********************************************************************ORGANIZERSAbhijit Das, Indian Statistical Institute, Kolkata, IndiaQiang Ji, Rensselaer Polytechnic Institute, United StatesUmapada Pal, Indian Statistical Institute, Kolkata, IndiaAlbert Ali Salah, Utrecht University, The NetherlandsVitomir Štruc, University of Ljubljana, SloveniaABOUTDomains for human behaviour understanding predominantly (e.g.,multimedia, human-computer interaction, robotics, affective computingand social signal processing) rely on advanced pattern recognitiontechniques to automatically interpret complex behavioural patternsgenerated when humans interact with machines or with other agents. Thisis a challenging research area where many issues are still open,including the joint modelling of behavioural cues taking place atdifferent time scales, the inherent uncertainty of machine detectableevidence of human behaviour, the mutual influence of people involved ininteractions, the presence of long term dependencies in observationsextracted from human behaviour, and the important role of dynamics inhuman behaviour understanding. Computer vision is a key technology foranalysis and synthesis of human behaviour but stands to gain much frommulti-modality and multi-source processing, in terms of improvingaccuracy, resource use, robustness, and contextualization.This workshop, organized as part of WACV 2021, will gather researchersdealing with the problem of modelling human behaviour under its multiplefacets (expression of emotions, display of relational attitudes, theperformance of an individual or joint actions, etc.), with particularattention to multi-source aspects, including multi-sensor,multi-participant and multi-modal settings. Example challenges are theadditional resource and robustness constraints, explorations ininformation fusion, social and contextual aspects of interactions, andbuilding multi-source representations of social and affective signalswith the goal of advancing the state-of-the-art.The HBU workshops, previously organized as satellite events to majorconferences in different disciplines such as ICPR’10, AMI’11, IROS’12,ACMMM’13, ECCV’14, UBICOMP’15, ACMMM’16, FG’18, ECCV’18, ICCV’19 have aunique aspect of fostering cross-pollination of disciplines, bringingtogether researchers from a variety of fields, such as computer vision,HCI, artificial intelligence, pattern recognition, interaction design,ambient intelligence, psychology and robotics. The diversity of humanbehaviour, the richness of multimodal data that arises from itsanalysis, and the multitude of applications that demand rapid progressin this area ensure that the HBU Workshops provide a timely and relevantdiscussion and dissemination platform. For HBU@WACV, we particularlysolicit contributions on human behaviour understanding that combinemultiple sources of information, be it across modalities, sensors, orsubjects under observation. The workshop solicits papers on generaltopics related to human behaviour understanding, but with a distinctfocus on multi-source solutions.TOPICS OF INTERESTTopics of interest include, but are not limited to: + Multimodal solutions for human behaviour modelling and analysis + Multimodal solutions towards behavioural biometrics (gait,handwriting, keystroke dynamics, etc.) + Methods for multi-instance learning in behavioural understanding, + Analysis of multi-participant settings and of social interactions, + Multi-instance representation for characterizing human health,empathy, + Deep learning for multi-party interactions + Multimodal deep learning for behaviour understanding + Adversarial learning approaches + Related sensor technologies + Information fusions approach for behaviour analysis + Realistic behaviour synthesis in multiple modalities and formulti-party settings + Mobile and wearable systems for behaviour monitoring + Datasets and benchmarks + Related applicationsPAPER SUBMISSIONSubmission instruction can be found athttps://lmi.fe.uni-lj.si/hbu2021/paper-submission/Please feel free to contact for any further details.Abhijit Das, Qiang Ji, Umapada Pal, Albert Ali Salah, Vitomir ŠtrucHBU 2021 Organizers