George K. Thiruvathukal

research

∙ 07/12/2023

Single-Class Target-Specific Attack against Interpretable Deep Learning Systems

In this paper, we present a novel Single-class target-specific Adversari...

0 Eldor Abdukhamidov, et al. ∙

research

∙ 03/30/2023

Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem

Software engineers develop, fine-tune, and deploy deep learning (DL) mod...

0 Purvish Jajal, et al. ∙

research

∙ 03/15/2023

PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages

Due to the cost of developing and training deep learning models from scr...

0 Wenxin Jiang, et al. ∙

research

∙ 03/13/2023

Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision

Many engineering organizations are reimplementing and extending deep neu...

0 Wenxin Jiang, et al. ∙

research

∙ 03/05/2023

An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry

Deep Neural Networks (DNNs) are being adopted as components in software ...

0 Wenxin Jiang, et al. ∙

research

∙ 07/28/2022

Why Accuracy Is Not Enough: The Need for Consistency in Object Detection

Object detectors are vital to many modern computer vision applications. ...

0 Caleb Tung, et al. ∙

research

∙ 07/24/2022

Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics

Software metrics capture information about software development processe...

0 Nicholas Synovic, et al. ∙

research

∙ 07/21/2022

Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision

Computer vision is often performed using Convolutional Neural Networks (...

0 Caleb Tung, et al. ∙

research

∙ 04/13/2022

Are You Really Muted?: A Privacy Analysis of Mute Buttons in Video Conferencing Apps

Video conferencing apps (VCAs) make it possible for previously private s...

0 Yucheng Yang, et al. ∙

research

∙ 09/27/2021

Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks

Computer vision on low-power edge devices enables applications including...

0 Abhinav Goel, et al. ∙

research

∙ 07/02/2021

An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors

Machine learning techniques are becoming a fundamental tool for scientif...

0 Vishnu Banna, et al. ∙

research

∙ 06/19/2021

Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks

Low-power computer vision on embedded devices has many applications. Thi...

8 Abhinav Goel, et al. ∙

research

∙ 04/29/2021

Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication

Context-based authentication is a method for transparently validating an...

0 Jack West, et al. ∙

research

∙ 03/23/2021

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...

0 Ryan Dailey, et al. ∙

research

∙ 08/27/2020

Analyzing Worldwide Social Distancing through Large-Scale Computer Vision

In order to contain the COVID-19 pandemic, countries around the world ha...

0 Isha Ghodgaonkar, et al. ∙

research

∙ 07/02/2020

Low-Power Object Counting with Hierarchical Neural Networks

Deep Neural Networks (DNNs) can achieve state-of-the-art accuracy in man...

7 Abhinav Goel, et al. ∙

research

∙ 05/18/2020

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

COVID-19 has resulted in a worldwide pandemic, leading to "lockdown" pol...

0 Isha Ghodgaonkar, et al. ∙

research

∙ 03/31/2020

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

We present VoltKey, a method that transparently generates secret keys fo...

0 Jack West, et al. ∙

research

∙ 03/25/2020

FLIC: A Distributed Fog Cache for City-Scale Applications

We present FLIC, a distributed software data caching framework for fogs ...

0 Jack West, et al. ∙

research

∙ 03/24/2020

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

Deep neural networks (DNNs) are successful in many computer vision tasks...

0 Abhinav Goel, et al. ∙

research

∙ 04/26/2019

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

As dataset sizes increase, data analysis tasks in high performance compu...

0 George K. Thiruvathukal, et al. ∙

research

∙ 04/15/2019

Low-Power Computer Vision: Status, Challenges, Opportunities

Computer vision has achieved impressive progress in recent years. Meanwh...

16 Sergei Alyamkin, et al. ∙

research

∙ 04/14/2019

See the World through Network Cameras

Millions of network cameras have been deployed worldwide. Real-time data...

0 Yung-Hsiang Lu, et al. ∙

research

∙ 01/19/2019

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

Physical media (like surveillance cameras) and social media (like Instag...

0 Chittayong Surakitbanharn, et al. ∙

research

∙ 01/18/2019

Cloud Resource Optimization for Processing Multiple Streams of Visual Data

Hundreds of millions of network cameras have been installed throughout t...

0 Zohar Kapach, et al. ∙

research

∙ 12/31/2018

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...

0 Caleb Tung, et al. ∙

research

∙ 10/03/2018

2018 Low-Power Image Recognition Challenge

The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcompu...

6 Sergei Alyamkin, et al. ∙

research

∙ 08/29/2018

Auto-generated Spies Increase Test Maintainability

We have inspected the test code for the scala.collection.Iterator trait ...

0 Konstantin Läufer, et al. ∙

research

∙ 04/05/2018

Metrics Dashboard: A Hosted Platform for Software Quality Metrics

There is an emerging consensus in the scientific software community that...

0 George K. Thiruvathukal, et al. ∙

research

∙ 02/21/2018

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 (...

0 Ahmed S. Kaseb, et al. ∙

research

∙ 02/15/2018

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...

0 Gregory J Matthews, et al. ∙

George K. Thiruvathukal

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