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Full-Text Articles in Social and Behavioral Sciences
Theorizing Gender In Social Network Research: What We Do And What We Can Do Differently, Raina Brands, Gokhan Ertug, Fabio Fonti, Stefano Tasselli
Theorizing Gender In Social Network Research: What We Do And What We Can Do Differently, Raina Brands, Gokhan Ertug, Fabio Fonti, Stefano Tasselli
Research Collection Lee Kong Chian School Of Business
We review the ways in which gender is theorized in social network research and propose an alternative approach for future research to consider. To assess “what we do,” we undertake an evaluative review. In that review, we first examine how gender is typically theorized in structural approaches to social network research. Then, in greater detail, we review social network research that affords more diversity into such theorizing. We organize this more detailed review around a framework that is based on the level of analysis at which the implications of gender are invoked (cognitive, behavioral) and the focus of relational mechanisms …
Action-Centric Relation Transformer Network For Video Question Answering, Jipeng Zhang, Jie Shao, Rui Cao, Lianli Gao, Xing Xu, Heng Tao Shen
Action-Centric Relation Transformer Network For Video Question Answering, Jipeng Zhang, Jie Shao, Rui Cao, Lianli Gao, Xing Xu, Heng Tao Shen
Research Collection School Of Computing and Information Systems
Video question answering (VideoQA) has emerged as a popular research topic in recent years. Enormous efforts have been devoted to developing more effective fusion strategies and better intra-modal feature preparation. To explore these issues further, we identify two key problems. (1) Current works take almost no account of introducing action of interest in video representation. Additionally, there exists insufficient labeling data on where the action of interest is in many datasets. However, questions in VideoQA are usually action-centric. (2) Frame-to-frame relations, which can provide useful temporal attributes (e.g., state transition, action counting), lack relevant research. Based on these observations, we …