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Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
"GrabCut": interactive foreground extraction using iterated graph cuts
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CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Face Description with Local Binary Patterns: Application to Face Recognition
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Computational Geometry: Algorithms and Applications
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Object Detection with Discriminatively Trained Part-Based Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
A discriminative latent model of object classes and attributes
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ACM Transactions on Intelligent Systems and Technology (TIST)
A benchmark for geometric facial beauty study
ICMB'10 Proceedings of the Second international conference on Medical Biometrics
Approximating discrete probability distributions with dependence trees
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Region filling and object removal by exemplar-based image inpainting
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What are good parts for hair shape modeling?
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Hi, magic closet, tell me what to wear!
Proceedings of the 20th ACM international conference on Multimedia
Tree-Structured CRF Models for Interactive Image Labeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
"Wow! you are so beautiful today!"
Proceedings of the 21st ACM international conference on Multimedia
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Beauty e-Experts, a fully automatic system for hairstyle and facial makeup recommendation and synthesis, is developed in this work. Given a user-provided frontal face image with short/bound hair and no/light makeup, the Beauty e-Experts system can not only recommend the most suitable hairdo and makeup, but also show the synthetic effects. To obtain enough knowledge for beauty modeling, we build the Beauty e-Experts Database, which contains 1,505 attractive female photos with a variety of beauty attributes and beauty-related attributes annotated. Based on this Beauty e-Experts Dataset, two problems are considered for the Beauty e-Experts system: what to recommend and how to wear, which describe a similar process of selecting hairstyle and cosmetics in our daily life. For the what-to-recommend problem, we propose a multiple tree-structured super-graphs model to explore the complex relationships among the high-level beauty attributes, mid-level beauty-related attributes and low-level image features, and then based on this model, the most compatible beauty attributes for a given facial image can be efficiently inferred. For the how-to-wear problem, an effective and efficient facial image synthesis module is designed to seamlessly synthesize the recommended hairstyle and makeup into the user facial image. Extensive experimental evaluations and analysis on testing images of various conditions well demonstrate the effectiveness of the proposed system.