The textile and apparel industries have grown tremendously over the past few years.
Customers no longer have to visit many stores, stand in long queues, or try on garments in …

Fashion is the way we present ourselves to the world and has become one of the world's
largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention …

Multimedia content is of predominance in the modern Web era. Investigating how users
interact with multimodal items is a continuing concern within the rapid development of …

Image visual try-on aims at transferring a target clothes image onto a reference person, and
has become a hot topic in recent years. Prior arts usually focus on preserving the character …

Click-through rate prediction is an essential task in industrial applications, such as online
advertising. Recently deep learning based models have been proposed, which follow a …

We present an image-based VIirtual Try-On Network (VITON) without using 3D information
in any form, which seamlessly transfers a desired clothing item onto the corresponding …

Recent advances in clothes recognition have been driven by the construction of clothes
datasets. Existing datasets are limited in the amount of annotations and are difficult to cope …

Building a successful recommender system depends on understanding both the dimensions
of people's preferences as well as their dynamics. In certain domains, such as fashion …

The ubiquity of online fashion shop** demands effective recommendation services for
customers. In this paper, we study two types of fashion recommendation:(i) suggesting an …

Conversational interfaces for the detail-oriented retail fashion domain are more natural,
expressive, and user friendly than classical keyword-based search interfaces. In this paper …