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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...
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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...
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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...
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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...
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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 ...
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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. ...
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07/24/2022
Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics
Software metrics capture information about software development processe...
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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 (...
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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...
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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...
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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...
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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...
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04/29/2021
Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication
Context-based authentication is a method for transparently validating an...
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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...
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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...
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07/02/2020
Low-Power Object Counting with Hierarchical Neural Networks
Deep Neural Networks (DNNs) can achieve state-of-the-art accuracy in man...
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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...
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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...
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03/25/2020
FLIC: A Distributed Fog Cache for City-Scale Applications
We present FLIC, a distributed software data caching framework for fogs ...
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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...
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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...
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04/15/2019
Low-Power Computer Vision: Status, Challenges, Opportunities
Computer vision has achieved impressive progress in recent years. Meanwh...
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04/14/2019
See the World through Network Cameras
Millions of network cameras have been deployed worldwide. Real-time data...
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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...
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01/18/2019
Cloud Resource Optimization for Processing Multiple Streams of Visual Data
Hundreds of millions of network cameras have been installed throughout t...
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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...
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10/03/2018
2018 Low-Power Image Recognition Challenge
The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcompu...
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08/29/2018
Auto-generated Spies Increase Test Maintainability
We have inspected the test code for the scala.collection.Iterator trait ...
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04/05/2018
Metrics Dashboard: A Hosted Platform for Software Quality Metrics
There is an emerging consensus in the scientific software community that...
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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 (...
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02/15/2018