7 citations · 7 across the 4 of their papers we have counts for
5 papers
A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-Commerce
Ujjal Kr Dutta, Sandeep Repakula, Maulik Parmar +1
In this paper, we address a crucial problem in fashion e-commerce (with respect to customer experience, as well as revenue): color variants identification, i.e., identifying fashio…
Color Variants Identification in Fashion e-commerce via Contrastive Self-Supervised Representation Learning
Ujjal Kr Dutta, Sandeep Repakula, Maulik Parmar +1
In this paper, we utilize deep visual Representation Learning to address an important problem in fashion e-commerce: color variants identification, i.e., identifying fashion produc…
Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes
Rajdeep Hazra Banerjee, Abhinav Ravi, Ujjal Kr Dutta
Popular fashion e-commerce platforms mostly provide details about low-level attributes of an apparel (eg, neck type, dress length, collar type) on their product detail pages. Howev…
Buy Me That Look: An Approach for Recommending Similar Fashion Products
Abhinav Ravi, Sandeep Repakula, Ujjal Kr Dutta +1
Have you ever looked at an Instagram model, or a model in a fashion e-commerce web-page, and thought \textit{"Wish I could get a list of fashion items similar to the ones worn by t…
Teaching DNNs to design fast fashion
Abhinav Ravi, Arun Patro, Vikram Garg +3
"Fast Fashion" spearheads the biggest disruption in fashion that enabled to engineer resilient supply chains to quickly respond to changing fashion trends. The conventional desi…