Search Results for author: Arjun Srinivasan

Found 4 papers, 0 papers with code

AI-Guided Defect Detection Techniques to Model Single Crystal Diamond Growth

no code implementations10 Apr 2024 Rohan Reddy Mekala, Elias Garratt, Matthias Muehle, Arjun Srinivasan, Adam Porter, Mikael Lindvall

This paper details seminal work on defect segmentation pipeline using in-situ optical images to identify features that indicate defective states that are visible at the macroscale.

Active Learning Defect Detection +1

AI-Guided Feature Segmentation Techniques to Model Features from Single Crystal Diamond Growth

no code implementations10 Apr 2024 Rohan Reddy Mekala, Elias Garratt, Matthias Muehle, Arjun Srinivasan, Adam Porter, Mikael Lindvall

This paper compares various traditional and machine learning-driven approaches for feature extraction in the diamond growth domain, proposing a novel deep learning-driven semantic segmentation approach to isolate and classify accurate pixel masks of geometric features like diamond, pocket holder, and background, along with their derivative features based on shape and size.

Active Learning Semantic Segmentation

DataTales: Investigating the use of Large Language Models for Authoring Data-Driven Articles

no code implementations8 Aug 2023 Nicole Sultanum, Arjun Srinivasan

Authoring data-driven articles is a complex process requiring authors to not only analyze data for insights but also craft a cohesive narrative that effectively communicates the insights.

Text Generation

Can a Robot Trust You? A DRL-Based Approach to Trust-Driven Human-Guided Navigation

no code implementations1 Nov 2020 Vishnu Sashank Dorbala, Arjun Srinivasan, Aniket Bera

We utilize both these trust metrics into an optimal cognitive reasoning scheme that decides when and when not to trust the given guidance.

Navigate Robot Navigation

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