8 citations · 26 across the 11 of their papers we have counts for
11 papers
AI Guide Dog: Egocentric Path Prediction on Smartphone
Aishwarya Jadhav, Jeffery Cao, Abhishree Shetty +6
This paper presents AI Guide Dog (AIGD), a lightweight egocentric (first-person) navigation system for visually impaired users, designed for real-time deployment on smartphones. AI…
Curator: Creating Large-Scale Curated Labelled Datasets using Self-Supervised Learning
Tarun Narayanan, Ajay Krishnan, Anirudh Koul +1
Applying Machine learning to domains like Earth Sciences is impeded by the lack of labeled data, despite a large corpus of raw data available in such domains. For instance, trainin…
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing
Jonathan Francis, Bingqing Chen, Siddha Ganju +10
We present the results of our autonomous racing virtual challenge, based on the newly-released Learn-to-Race (L2R) simulation framework, which seeks to encourage interdisciplinary…
CELESTIAL: Classification Enabled via Labelless Embeddings with Self-supervised Telescope Image Analysis Learning
Suhas Kotha, Anirudh Koul, Siddha Ganju +1
A common class of problems in remote sensing is scene classification, a fundamentally important task for natural hazards identification, geographic image retrieval, and environment…
Scalable Reverse Image Search Engine for NASAWorldview
Abhigya Sodani, Michael Levy, Anirudh Koul +2
Researchers often spend weeks sifting through decades of unlabeled satellite imagery(on NASA Worldview) in order to develop datasets on which they can start conducting research. We…
Reducing Effects of Swath Gaps on Unsupervised Machine Learning Models for NASA MODIS Instruments
Sarah Chen, Esther Cao, Anirudh Koul +3
Due to the nature of their pathways, NASA Terra and NASA Aqua satellites capture imagery containing swath gaps, which are areas of no data. Swath gaps can overlap the region of int…