George K. Thiruvathukal

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Loyola University Chicago ∙ Argonne National Laboratory

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Automated Discovery of Real-Time Network Camera Data From Heterogeneous Web Pages

Reduction in the cost of Network Cameras along with a rise in connectivi...
03/23/2021 ∙ by Ryan Dailey, et al. ∙ 0 ∙ share

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Analyzing Worldwide Social Distancing through Large-Scale Computer Vision

In order to contain the COVID-19 pandemic, countries around the world ha...
08/27/2020 ∙ by Isha Ghodgaonkar, et al. ∙ 0 ∙ share

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Low-Power Object Counting with Hierarchical Neural Networks

Deep Neural Networks (DNNs) can achieve state-of-the-art accuracy in man...
07/02/2020 ∙ by Abhinav Goel, et al. ∙ 7 ∙ share

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Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras

COVID-19 has resulted in a worldwide pandemic, leading to "lockdown" pol...
05/18/2020 ∙ by Isha Ghodgaonkar, et al. ∙ 0 ∙ share

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VoltKey: Using Power Line Noise for Zero-Involvement Pairing and Authentication (Demo Abstract)

We present VoltKey, a method that transparently generates secret keys fo...
03/31/2020 ∙ by Jack West, et al. ∙ 0 ∙ share

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FLIC: A Distributed Fog Cache for City-Scale Applications

We present FLIC, a distributed software data caching framework for fogs ...
03/25/2020 ∙ by Jack West, et al. ∙ 0 ∙ share

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A Survey of Methods for Low-Power Deep Learning and Computer Vision

Deep neural networks (DNNs) are successful in many computer vision tasks...
03/24/2020 ∙ by Abhinav Goel, et al. ∙ 0 ∙ share

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A Benchmarking Study to Evaluate Apache Spark on Large-Scale Supercomputers

As dataset sizes increase, data analysis tasks in high performance compu...
04/26/2019 ∙ by George K. Thiruvathukal, et al. ∙ 0 ∙ share

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Low-Power Computer Vision: Status, Challenges, Opportunities

Computer vision has achieved impressive progress in recent years. Meanwh...
04/15/2019 ∙ by Sergei Alyamkin, et al. ∙ 16 ∙ share

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See the World through Network Cameras

Millions of network cameras have been deployed worldwide. Real-time data...
04/14/2019 ∙ by Yung-Hsiang Lu, et al. ∙ 0 ∙ share

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Cross-referencing Social Media and Public Surveillance Camera Data for Disaster Response

Physical media (like surveillance cameras) and social media (like Instag...
01/19/2019 ∙ by Chittayong Surakitbanharn, et al. ∙ 0 ∙ share

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Cloud Resource Optimization for Processing Multiple Streams of Visual Data

Hundreds of millions of network cameras have been installed throughout t...
01/18/2019 ∙ by Zohar Kapach, et al. ∙ 0 ∙ share

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Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions

Computer vision relies on labeled datasets for training and evaluation i...
12/31/2018 ∙ by Caleb Tung, et al. ∙ 0 ∙ share

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2018 Low-Power Image Recognition Challenge

The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcompu...
10/03/2018 ∙ by Sergei Alyamkin, et al. ∙ 6 ∙ share

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Auto-generated Spies Increase Test Maintainability

We have inspected the test code for the scala.collection.Iterator trait ...
08/29/2018 ∙ by Konstantin Läufer, et al. ∙ 0 ∙ share

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Metrics Dashboard: A Hosted Platform for Software Quality Metrics

There is an emerging consensus in the scientific software community that...
04/05/2018 ∙ by George K. Thiruvathukal, et al. ∙ 0 ∙ share

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Analyzing Real-Time Multimedia Content From Network Cameras: Using CPUs and GPUs in the Cloud

Millions of network cameras are streaming real-time multimedia content (...
02/21/2018 ∙ by Ahmed S. Kaseb, et al. ∙ 0 ∙ share

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A comparison of machine learning techniques for taxonomic classification of teeth from the Family Bovidae

This study explores the performance of modern, accurate machine learning...
02/15/2018 ∙ by Gregory J Matthews, et al. ∙ 0 ∙ share

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