Deep learning became an important image classification and object detection technique more than a decade ago. It has since achieved human-like performance for many computer vision tasks. Some of them involve the analysis human face applications like facial recognition, expression landmark detection. In recent years, researchers have generated made publicly available valuable datasets that allow...

This is a report on the Sundance Film Festival panel from BEYOND FILM program: "#MeJew: Antisemitism, Authentic Representation and Jewish Identity in Hollywood" which occurred Park City January 22, 2023.

The article presents the results of experimental research significant other's influence on personality identity representation. phenomenon presence is considered as a component self-identification mechanism, it allows to define character its content. was carried out sample 86 students Samara University. Google-form testing identify cognitive orientation (individualistic/collectivistic), narrati...

Identity uncertainty is the task of deciding whether two descriptions correspond to the same object. In this paper we discuss the identity uncertainty problem in the context of the person identity uncertainty problem – the problem of deciding whether two descriptions refer to the same person. We model the inter-dependence of the attributes using a similarity network representation. We present r...

In this paper, we discuss the impact of user’s profiles on identity representations in web 2.0. We introduce a classification of 3 different types of identities: declarative identity, acting identity and calculated identity. This typology summarizes the theoretical model of “self-representation” in interactive devices, originally proposed in [Georges 2007]. “Declarative identity” (1) is constit...