Predicting Professions through Probabilistic Model under Social Context

In this paper, we investigate the problem of predicting people's professions under social context. Previous work considering clothing information as well as fore/background context preliminarily proves the feasibility of predicting professions. In this paper, we discuss this problem in a more general case --- multiple people in one photo with arbitrary poses, and argue that with appropriately built partial body features, spatial relations, and background context, more appealing results are achieved by a probabilistic model. We conduct experiments on $14$ representative professions with over $7000$ images, and demonstrate the model's superiority with impressive results.