1 code implementation • 15 Apr 2024 • Amir Erfan Eshratifar, Joao V. B. Soares, Kapil Thadani, Shaunak Mishra, Mikhail Kuznetsov, Yueh-Ning Ku, Paloma de Juan
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 of subjects by integrating them into tailored environments.
no code implementations • 28 Jul 2023 • Yueh-Ning Ku, Mikhail Kuznetsov, Shaunak Mishra, Paloma de Juan
In addition, we show how our staging approach can enable animations of moving products leading to a video ad from a product image.
no code implementations • 18 Aug 2021 • Shaunak Mishra, Changwei Hu, Manisha Verma, Kevin Yen, Yifan Hu, Maxim Sviridenko
To realize this opportunity, we propose an ad text strength indicator (TSI) which: (i) predicts the click-through-rate (CTR) for an input ad text, (ii) fetches similar existing ads to create a neighborhood around the input ad, (iii) and compares the predicted CTRs in the neighborhood to declare whether the input ad is strong or weak.
no code implementations • 5 Aug 2021 • Shaunak Mishra, Mikhail Kuznetsov, Gaurav Srivastava, Maxim Sviridenko
Motivated by our observations in logged data on ad image search queries (given ad text), we formulate a keyword extraction problem, where a keyword extracted from the ad text (or its augmented version) serves as the ad image query.
no code implementations • 27 Jan 2021 • Manisha Verma, Kapil Thadani, Shaunak Mishra
In this work, we demonstrate the effectiveness of different attention based neural models that can directly exploit side information available in technical documents or verified forums (e. g., research publications on COVID-19 or WHO website).
no code implementations • 17 Aug 2020 • Shaunak Mishra, Manisha Verma, Yichao Zhou, Kapil Thadani, Wei Wang
Since major ad platforms typically run A/B tests for multiple advertisers in parallel, we explore the possibility of collaboratively learning ad creative refinement via A/B tests of multiple advertisers.
1 code implementation • 20 Jan 2020 • Yichao Zhou, Shaunak Mishra, Manisha Verma, Narayan Bhamidipati, Wei Wang
There is a perennial need in the online advertising industry to refresh ad creatives, i. e., images and text used for enticing online users towards a brand.
no code implementations • 29 Aug 2019 • Shaunak Mishra, Jelena Gligorijevic, Narayan Bhamidipati
Online purchase decisions in organizations can go through a complex journey with multiple agents involved in the decision making process.
no code implementations • 11 Nov 2018 • Anit Kumar Sahu, Shaunak Mishra, Narayan Bhamidipati
The policy based on this state space is trained on past decisions and outcomes via a novel Q-learning algorithm which accounts for the delay in install notifications.