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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. However, the most accurate DNNs require millions of …
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FLIC: A Distributed Fog Cache for City-Scale Applications
We present FLIC, a distributed software data caching framework for fogs that reduces network traffic and latency. FLIC is targeted …
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Addressing Rogue Vehicles by Integrating Computer Vision, Activity Monitoring, and Contextual Information
In this paper, we address the detection of rogue autonomous vehicles using an integrated approach involving computer vision, activity …
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Crowdsourcing Detection of Sampling Biases in Image Datasets
Despite many exciting innovations in computer vision, recent studies reveal a number of risks in existing computer vision systems, …
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Low-Power Object Counting with Hierarchical Neural Networks
Deep Neural Networks (DNNs) achieve state-of-the-art accuracy in many computer vision tasks, such as object counting. Object counting …
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Toward a containerized pipeline for longitudinal analysis of open-source software projects
Trust in open-source software is a cornerstone of scientific progress and a foundation of high-quality public services. Just as …
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Towards High-End Scalability on Biologically-Inspired Computational ModelsAuthors
The interdisciplinary field of neuroscience has made significantprogress in recent decades, providing the scientific community in …
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Exercises Integrating High School Mathematics with Robot Motion Planning
This Innovative Practice Work in Progress presents progress in developing exercises for high school students incorporating …
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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 in detecting and recognizing objects. The popular computer …
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Integrating Mathematics and Educational Robotics: Simple Motion Planning
This paper shows how students can be guided to integrate elementary mathematical analyses with motion planning for typical educational …
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