activity
20172021
most citedDeep Multimodal Representation Learning from Temporal Data

12 citations · 25 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IR2021

Page-level Optimization of e-Commerce Item Recommendations

Chieh Lo, Hongliang Yu, Xin Yin +6

The item details page (IDP) is a web page on an e-commerce website that provides information on a specific product or item listing. Just below the details of the item on this page,…

cs.IR2021★ 9 cited

Personalized Embedding-based e-Commerce Recommendations at eBay

Tian Wang, Yuri M. Brovman, Sriganesh Madhvanath

Recommender systems are an essential component of e-commerce marketplaces, helping consumers navigate massive amounts of inventory and find what they need or love. In this paper, w…

cs.CV2018★ 2 cited

Parametric Synthesis of Text on Stylized Backgrounds using PGGANs

Mayank Gupta, Abhinav Kumar, Sriganesh Madhvanath

We describe a novel method of generating high-resolution real-world images of text where the style and textual content of the images are described parametrically. Our method combin…

cs.CV2017★ 2 cited

Neural Signatures for Licence Plate Re-identification

Abhinav Kumar, Shantanu Gupta, Vladimir Kozitsky +1

The problem of vehicle licence plate re-identification is generally considered as a one-shot image retrieval problem. The objective of this task is to learn a feature representatio…

cs.CV2017★ 12 cited

Deep Multimodal Representation Learning from Temporal Data

Xitong Yang, Palghat Ramesh, Radha Chitta +3

In recent years, Deep Learning has been successfully applied to multimodal learning problems, with the aim of learning useful joint representations in data fusion applications. Whe…