Predicting occupation via human clothing and contexts

By Zheng Song, Meng Wang, Xiansheng Hua, Shuicheng Yan. 2011

102 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

A Domain Based Approach to Social Relation Recognition (2017, background): “Occupation recognition studies [22, 23] not only use personal attributes but also leverage the contextual information in a semantic level, e.”
Getting the look: clothing recognition and segmentation for automatic product suggestions in everyday photos (2013, background): “Song et al. [14] advocate the prediction of human occupations via their clothing.”
What Else Does Your Biometric Data Reveal? A Survey on Soft Biometrics (2016, background): “…in the context of geometry extraction - i.e., the localization of facial landmarks related to eyes, mouth, nose, chin, etc. - which is a key step in a number of applications ranging from human identification to gender, ethnicity, and age estimation to emotion and expression recognition [212].”
Apparel Classification with Style (2012, background): “[24] predict people’s occupation incorporating information on their clothing.”
Where to Buy It: Matching Street Clothing Photos in Online Shops (2015, background): “Other works have explored ways to identify aspects of a person’s socio-identity, including predicting their social tribe [19, 17], fashionability [36, 30], or occupation [31] from the clothing they are wearing.”
Runway to Realway: Visual Analysis of Fashion (2015, background): “There is also related work on recognizing attributes or concepts that are strongly related to clothing, for example, occupation [22, 21] or social identity [15].”
Describing Clothing by Semantic Attributes (2012, background): “[19] proposed an algorithm that predicts job occupation via human clothes and contexts, showing emerging applications by investigating clothing visual appearance.”
Hi, magic closet, tell me what to wear! (2012, unknown): “Previous research on human attribute analysis tends to first align human parts [5, 21] due to the large pose varia-”
Paper Doll Parsing: Retrieving Similar Styles to Parse Clothing Items (2013, background): “Many of these papers have focused on specific aspects of clothing recognition such as predicting attributes of clothing [7, 2, 4], outfit recommendation [15], or identifying aspects of socio-identity through clothing [18, 20].”
Street-to-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set (2012, methodology): “Previous research on human attributes analysis tend to ﬁrst align human parts [5, 16] due to the large pose variation and background noise in daily photos.”
Parsing clothing in fashion photographs (2012, background): “Clothing items have also been used as implicit cues of identity in surveillance scenarios [26], to find people in an image collection of an event [11, 22, 25], to estimate occupation [23], or for robot manipulation [16].”
A High Performance CRF Model for Clothes Parsing (2014, background): “For instance, several researches have attempted to estimate sociological patterns from clothing inferred from images, predicting for example occupation [11] or urban tribes [12].”