15 citations · 15 across the 1 of their papers we have counts for
3 papers · 1 filter
Discovering Style Trends through Deep Visually Aware Latent Item Embeddings
Murium Iqbal, Adair Kovac, Kamelia Aryafar
In this paper, we explore Latent Dirichlet Allocation (LDA) and Polylingual Latent Dirichlet Allocation (PolyLDA), as a means to discover trending styles in Overstock from deep vis…
Item Popularity Prediction in E-commerce Using Image Quality Feature Vectors
Stephen Zakrewsky, Kamelia Aryafar, Ali Shokoufandeh
Online retail is a visual experience- Shoppers often use images as first order information to decide if an item matches their personal style. Image characteristics such as color, s…
Road Detection through Supervised Classification
Yasamin Alkhorshid, Kamelia Aryafar, Sven Bauer +1
Autonomous driving is a rapidly evolving technology. Autonomous vehicles are capable of sensing their environment and navigating without human input through sensory information suc…