[visionlist] Deadline Update - FG2020 Special Session "Typical vs Atypical"

Oya Celiktutan oya.celiktutan at gmail.com
Fri Dec 20 07:16:23 -04 2019


15th IEEE International Conference on Automatic Face and Gesture Recognition 
Special Session on “Typical vs Atypical: Learning Rules of Social Interaction from a Multidisciplinary Perspective”

Special Session Paper Submission Deadline: 10 January 2020 – midnight PST

https://fg2020.org <https://fg2020.org/>

18-22 May 2020 

Buenos Aires, Argentina 


Humans are a social species and evolution has equipped them with a unique capacity to navigate the social world. Apart from using spoken language, nonverbal cues play an essential part in achieving successful and harmonious social interactions. Yet, only recently have most psychiatric disorders begun to be conceptualized as “disorders of social interactions”. Personality disorders, schizophrenia, anxiety, depression and even neurodevelopmental disorders like autism are strongly coupled with impairments in the perception, interpretation and/or production of nonverbal cues. Analysing the dynamics of typical and atypical social interactions is therefore a natural and well-fitting means that may help to develop and enhance automatic psychiatric diagnosis and treatment tools. However, it is a major challenge to design accessible objective computational approaches that can tackle the complexity of naturalistic interpersonal behaviour. 

The key aim of this multidisciplinary special session is to unite the power of computer scientists and social psychologists to discuss cutting edge research and innovative ideas for investigating data-driven, supervision-free or explainable methods to model interpersonal dynamics in both typical and atypical individuals (i.e., psychiatric disorders). More specifically, this special session sets out to put forward opportunities and challenges for learning the rules of dyadic interactions or small group interactions from large amounts of video data or other modalities, without extensive use of manual supervision or prior assumptions, while encouraging the design of interpretable, safe and reliable techniques that can be adopted effectively in real-world clinical applications. We seek high-quality research papers on the following topics, or another topic closely relevant to the special session theme:
Data-driven approaches to the analysis of nonverbal displays expressed within interpersonal context, including facial expressions, eye gaze and head movements, body postures and hand gestures, audio (e.g., turn taking, vocal outbursts, etc.), and the co-modelling of nonverbal and verbal cues;
Data-driven approaches to the modelling of interpersonal coordination such as convergence, synchrony or mimicry;
Automatic detection of abnormal social behaviour, namely, non-conforming patterns in nonverbal interaction;
Unsupervised/weakly supervised learning of social interaction, including representation learning, learning from interpersonal context, learning across data modalities, exploiting feature correlations, etc.;
Explainable deep models, ranging from extracting interpretable features and visualisation to analysing decision making processes and building interactive explanations and human-in-the-loop approaches; 
Clinical applications (e.g., autism, depression, anxiety, etc.), including defining appropriate qualitative and quantitative evaluation methods;
Novel datasets comprising social interactions among typicals, psychiatric disorders, or mixed groups. 
       Link: https://fg2020.org/typical-vs-atypical-learning-rules-of-social-interaction-from-a-multidisciplinary-perspective/ <https://fg2020.org/typical-vs-atypical-learning-rules-of-social-interaction-from-a-multidisciplinary-perspective/>

Instructions of paper submission: https://fg2020.org/instructions-of-paper-submission-for-review/ <https://fg2020.org/instructions-of-paper-submission-for-review/>
We look forward to receiving many exciting contributions! 

With kind regards, 
Oya Celiktutan & Alexandra L. Georgescu
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