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Found 4 papers, 1 papers with code
Towards socially-competent and culturally-adaptive artificial agents Expressive order, interactional disruptions and recovery strategies
Finally, a list of general requirements for such agents is proposed.
A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data
COVID-19 clinical presentation and prognosis are highly variable, ranging from asymptomatic and paucisymptomatic cases to acute respiratory distress syndrome and multi-organ involvement.
The S-Hock Dataset: Analyzing Crowds at the Stadium
In the dataset, a massive annotation has been carried out, focusing on the spectators at different levels of details: at a higher level, people have been labeled depending on the team they are supporting and the fact that they know the people close to them; going to the lower levels, standard pose information has been considered (regarding the head, the body) but also fine grained actions such as hands on hips, clapping hands etc.
F-formation Detection: Individuating Free-standing Conversational Groups in Images
Then, as a main contribution, we present a brand new method for the automatic detection of groups in still images, which is based on a graph-cuts framework for clustering individuals; in particular we are able to codify in a computational sense the sociological definition of F-formation, that is very useful to encode a group having only proxemic information: position and orientation of people.
