22 citations · 24 across the 12 of their papers we have counts for
4 papers · 1 filter
Unsupervised Deep Metric Learning via Orthogonality based Probabilistic Loss
Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar
Metric learning is an important problem in machine learning. It aims to group similar examples together. Existing state-of-the-art metric learning approaches require class labels t…
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…
Affinity guided Geometric Semi-Supervised Metric Learning
Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar
In this paper, we revamp the forgotten classical Semi-Supervised Distance Metric Learning (SSDML) problem from a Riemannian geometric lens, to leverage stochastic optimization with…