Hi, magic closet, tell me what to wear!

By Si Liu, Jiashi Feng, Zheng Song, Tianzhu Zhang, Hanqing Lu, Changsheng Xu, Shuicheng Yan. 2012

287 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

Citations in the corpus

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.”
Chic or Social: Visual Popularity Analysis in Online Fashion Networks (2014, background): “Such prediction could be useful for many e-commerce applications, such as automatic outﬁt quality feedback [12], socially-aware fashion recommendation [13].”
Neural Compatibility Modeling with Attentive Knowledge Distillation (2018, methodology): “[20] presented a latent Support Vector Machine [4] model for both occasionoriented outfit and item recommendation based on a dataset of wild street photos, constructed by manual annotations.”
Clothing Co-parsing by Joint Image Segmentation and Labeling (2014, background): “In computer vision, several interesting works [30, 5, 17, 16] have been proposed on this task and showed promising results.”
Runway to Realway: Visual Analysis of Fashion (2015, methodology): “Our trend analyses could also enable new fashion applications, for example, by improving market analysis of fashion brands [13], interactive search [14] or recommendation [12, 17] of trending styles.”
Style Finder: Fine-Grained Clothing Style Detection and Retrieval (2013, background): “Some work [5] [7] has primarily focused on analyzing the relationships between general clothing attributes, with respect to human attractiveness and occasion.”
Deep Human Parsing with Active Template Regression (2015, unknown): “…the human parsing task, namely decomposing a human image into semantic fashion/body regions, is formulated as an Active Template Regression (ATR) problem, where the normalized mask of each fashion/body item is expressed as the linear combination of the learned mask templates, and then morphed to…”
Neural Compatibility Modeling With Probabilistic Knowledge Distillation (2020, methodology): “Existing researches mainly focus on clothing retrieval [4], [5], fashion trending prediction [6], fashionability prediction [7] and compatibility modeling [2], [8], [9].”
Getting the look: clothing recognition and segmentation for automatic product suggestions in everyday photos (2013, background): “[7] also presented the ‘magic closet system’ for clothing recommendations.”
Learning Fashion Compatibility with Bidirectional LSTMs (2017, background): “One possible solution is to utilize semantic attributes [10], for example, “ sweat pants” matches well with “ running shoes”.”
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].”
A High Performance CRF Model for Clothes Parsing (2014, background): “Other tasks like outfit recommendations [15] have also been investigated.”
Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation (2018, methodology): “Existing fashion datasets include WoW [2], Exact Street2Shop [45], Fashion-136K [7], and FashionVC [4] datasets.”
Hipster Wars: Discovering Elements of Fashion Styles (2014, background): “Recent papers have looked at the problem of parsing clothing (predicting pixel-wise labelings of garment items) [35,36] and clothing recognition for applications [22,23,11].”