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 rising diversity, volume, and pace of fashion manufacturing pose a considerable
challenge in the fashion industry, making it difficult for customers to pick which product to …

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 …

Outfits in online fashion data are composed of items of many different types (eg top, bottom,
shoes) that share some stylistic relationship with one another. A representation for building …

The widespread use of surveillance cameras toward smart and safe cities poses the critical
but challenging problem of vehicle reidentification (Re-ID). The state-of-the-art research …

Riding on the waves of deep neural networks, deep metric learning has achieved promising
results in various tasks by using triplet network or Siamese network. Though the basic goal …

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 …

What is the future of fashion? Tackling this question from a data-driven vision perspective,
we propose to forecast visual style trends before they occur. We introduce the first approach …

In this paper, we investigate ways of conducting a detailed fashion search using query
images and attributes. A credible fashion search platform should be able to (1) find images …

We propose to automatically create emph {capsule wardrobes}. Given an inventory of
candidate garments and accessories, the algorithm must assemble a minimal set of items …