1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2024
The Effect of Human v/s Synthetic Test Data and Round-tripping on Assessment of Sentiment Analysis Systems for Bias
Kausik Lakkaraju, Aniket Gupta, Biplav Srivastava +2
Sentiment Analysis Systems (SASs) are data-driven Artificial Intelligence (AI) systems that output polarity and emotional intensity when given a piece of text as input. Like other…
cs.RO2023★ 1 cited
Bridging the Domain Gap between Synthetic and Real-World Data for Autonomous Driving
Xiangyu Bai, Yedi Luo, Le Jiang +4
Modern autonomous systems require extensive testing to ensure reliability and build trust in ground vehicles. However, testing these systems in the real-world is challenging due to…
cs.CV2023
Bayesian Decision Making to Localize Visual Queries in 2D
Syed Asjad, Aniket Gupta, Hanumant Singh
This report describes our approach for the EGO4D 2023 Visual Query 2D Localization Challenge. Our method aims to reduce the number of False Positives (FP) that occur because of hig…