Jesse Brizzi
Expression Detection in Infants Through Facial Deformation Performance Analysis
Summer NSF REU 2013 – Expression Detection in Infants Through Facial Deformation Performance Analysis
I was accepted into multiple summer REU programs and participated in the one being offered at the University of South Florida. For this project I completed modified the code and technique used in the previous “Automatic Expression Spotting in Videos” project and applied it to an application where we monitor infants in maternity wards, who may not be able to make sufficient noise to alert nursing staff, to see when they are in discomfort or pain and need attending too.
Work on this project will continue in the spring once we receive IRB approval to collect our own data and start testing hardware.
Machine Learning Engineer && Software Engineer
Machine Learning, Computer Vision, Full Stack/Backend Engineering, Data Science
Machine Learning Software Engineer @ Instagram
Founder @ inferdo
jessebrizzi@{ gmail | fb | inferdo }.com
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2019 Aug 26
Serving deep learning at Curalate with Apache MXNet, AWS Lambda, and Amazon Elastic Inference
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2019 Mar 27
How to Setup a Scheduled Scala Spark Job on AWS
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2019 Mar 6
(meetup talk) Choosing a Deep Learning Library: There are a Lot of Them
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2018 Aug 13
(Interview) Curalate makes social sell with AI using Apache MXNet on AWS
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2018 Aug 1
How Curalate uses MXNet on AWS for some Deep Learning Magic
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2018 Mar 23
Choosing a Deep Learning library for developing and deploying your App/Service
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2017 Feb 1
Mechanical Turk Lessons Learned
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2014 Dec 8
Optical Flow based Facial Expression Suppression in Videos
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2014 Aug 10
Automatic Expression Spotting in Videos
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2013 Jul 31
Expression Detection in Infants Through Facial Deformation Performance Analysis