Urban tribes: Analyzing group photos from a social perspective
By Ana Cristina Murillo, Iljung S. Kwak, Lubomir D. Bourdev, David J. Kriegman, Serge J. Belongie. 2012
54 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Dacheng Tao
- Yi Yang
- Xiaogang Wang
- Bernt Schiele
- Alan L. Yuille
- Trevor Darrell
- Jitendra Malik
Citations in the corpus
- Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences (2015, methodology): “Then, we show how to train a Siamese CNN to learn a feature transformation from the image space into the latent style space.”
- Image-Based Recommendations on Styles and Substitutes (2015, background): “The system shares these characteristics with more common forms of recommender system, but does so on the basis of the appearance of the object, rather than metadata, reviews, or similar.”
- A Domain Based Approach to Social Relation Recognition (2017, background): “Some research focus on urban tribes in daily life [18], social categories defined by Wikipedia [19, 20], and popular groups such as “Loli”, “Syota” and “Goddess” which are mostly derived from social networks [21].”
- Understanding Blooming Human Groups in Social Networks (2015, background): “[12] studied urban tribes categorization to recognize the social group.”
- Hipster Wars: Discovering Elements of Fashion Styles (2014, background): “tribe of people in group photographs of events [25,17].”
- 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].”
- Visually-Aware Fashion Recommendation and Design with Generative Image Models (2017, background): “’ This includes categorizing images as belonging to a certain style [23], as well as assessing items (or individuals [24]) for compatibility [12], [25].”
- 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].”