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Master’s Thesis Defense: Adam Honts
May 7, 2021 @ 10:00 am - 11:00 am
Due to the COVID-19 Pandemic, the University has instruction to cancel all in-person events through the Spring semester to adhere to city and state orders limiting public gatherings. Events still running must now take place Online— listed events will include a link in which one may access the Online webspace:
To view Mr. Honts’s defense, enter his Online chatroom via Microsoft Teams— it will open at 10:00am on Friday, May 7th, 2021
Applications of a U-NET Variant Neural Network: Image Classification for Vegetation Component Identification in Outdoors Images and Image to Image Translation of Ultrasound Images
Mr. Adam Honts
University of Wisconsin-Milwaukee
Graduate Student
Recent advancements in deep neural networks have been a popular method among researchers working on tasks involving images, such as image classification and image to image translation. My defense focuses on using a variant of the neural network architecture U-Net, to classify vegetation in outdoor images, and translate ultrasound images that were acquired with a low frequency transducer to have the appearance that they were acquired from a high frequency transducer.
Committee Members:
Profs. Istvan Lauko (advisor), David Spade, Dexuan Xi
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