4 citations · 4 across the 5 of their papers we have counts for
5 papers
SCOT: Self-Supervised Contrastive Pretraining For Zero-Shot Compositional Retrieval
Bhavin Jawade, Joao V. B. Soares, Kapil Thadani +6
Compositional image retrieval (CIR) is a multimodal learning task where a model combines a query image with a user-provided text modification to retrieve a target image. CIR finds…
Scalable Detection of Salient Entities in News Articles
Eliyar Asgarieh, Kapil Thadani, Neil O'Hare
News articles typically mention numerous entities, a large fraction of which are tangential to the story. Detecting the salience of entities in articles is thus important to applic…
Salient Object-Aware Background Generation using Text-Guided Diffusion Models
Amir Erfan Eshratifar, Joao V. B. Soares, Kapil Thadani +4
Generating background scenes for salient objects plays a crucial role across various domains including creative design and e-commerce, as it enhances the presentation and context o…
Powering COVID-19 community Q&A with Curated Side Information
Manisha Verma, Kapil Thadani, Shaunak Mishra
Community question answering and discussion platforms such as Reddit, Yahoo! answers or Quora provide users the flexibility of asking open ended questions to a large audience, and…
Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement
Shaunak Mishra, Manisha Verma, Yichao Zhou +2
In the online advertising industry, the process of designing an ad creative (i.e., ad text and image) requires manual labor. Typically, each advertiser launches multiple creatives…