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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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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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07/21/2022
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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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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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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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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03/24/2020
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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04/15/2019