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 paper, we introduce a novel multimodal fashion search paradigm where e-commerce
data is searched with a multimodal query composed of both an image and text. In this …

Leveraging information across modalities can facilitate customers throughout their journey,
especially in the fashion domain where the visual modality plays an important role. Fashion …

In this paper we develop a neural network which learns intermodal representations for
fashion attributes to be utilized in a cross-modal search tool. Our neural network learns from …

The popularity of a fashion item depends on its color, shape, texture, and price. For different
items (with all attributes identical except color) of a specific product, fashion retailers need to …

Fashion multi-modal retrieval has been recently addressed using vision-and-language
transformers. However, these models cannot scale in training time and memory …

Understanding multimedia content remains a challenging problem in e-commerce search
and recommendation applications. It is difficult to obtain item representations that capture …

I am so proud that the day has finally come that I can present to you my past years of work,
bundled in this dissertation. This is a period in my life that I will look back on fondly as it …

Recent years have seen a huge increase in the popularity of information retrieval (IR)
systems, which enable users to hold natural language conversations. IR Systems such as …

This paper proposes an automatic tag assignment approach to various e-commerce
products where tag allotment is done solely based on the visual features in the image. It then …