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 …

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 …

In this work we explore the task of instance segmentation with attribute localization, which
unifies instance segmentation (detect and segment each object instance) and fine-grained …

Fashion trend forecasting is a crucial task for both academia andindustry. Although some
efforts have been devoted to tackling this challenging task, they only studied limited fashion …

Clothes category classification and attribute recognition have achieved distinguished
success with the development of deep learning. People have found that landmark detection …

Estimating the preferences of consumers is of utmost importance for the fashion industry as
appropriately leveraging this information can be beneficial in terms of profit. Trend detection …

The fashion industry is on the verge of an unprecedented change. The implementation of
machine learning, computer vision, and artificial intelligence (AI) in fashion applications is …

Body shape plays an important role in determining what garments will best suit a given
person, yet today's clothing recommendation methods take a" one shape fits all" approach …

The evolution of clothing styles and their migration across the world is intriguing, yet difficult
to describe quantitatively. We propose to discover and quantify fashion influences from …

Attribute-specific fashion retrieval (ASFR) is a challenging information retrieval task, which
has attracted increasing attention in recent years. Different from traditional fashion retrieval …