George K. Thiruvathukal

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Loyola University Chicago ∙ Argonne National Laboratory

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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George K. Thiruvathukal

Featured Co-authors

Xin Liu

Yiran Chen

Bo Chen

Chen Feng

Xiaopeng Zhang

Fei Sun

Yang Lu

Alexander C. Berg

Andrew Howard

Bo Fu

David S. Ebert

Analyzing Worldwide Social Distancing through Large-Scale Computer Vision

Low-Power Object Counting with Hierarchical Neural Networks

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

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

FLIC: A Distributed Fog Cache for City-Scale Applications

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

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

Low-Power Computer Vision: Status, Challenges, Opportunities

See the World through Network Cameras

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

Cloud Resource Optimization for Processing Multiple Streams of Visual Data

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

2018 Low-Power Image Recognition Challenge

Auto-generated Spies Increase Test Maintainability

Metrics Dashboard: A Hosted Platform for Software Quality Metrics

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

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