Search Results for author: Frederick Shic

Found 6 papers, 2 papers with code

A Facial Affect Analysis System for Autism Spectrum Disorder

no code implementations7 Apr 2019 Beibin Li, Sachin Mehta, Deepali Aneja, Claire Foster, Pamela Ventola, Frederick Shic, Linda Shapiro

In this paper, we introduce an end-to-end machine learning-based system for classifying autism spectrum disorder (ASD) using facial attributes such as expressions, action units, arousal, and valence.

BIG-bench Machine Learning Classification +2

Sparsely Grouped Input Variables for Neural Networks

1 code implementation29 Nov 2019 Beibin Li, Nicholas Nuechterlein, Erin Barney, Caitlin Hudac, Pamela Ventola, Linda Shapiro, Frederick Shic

In genomic analysis, biomarker discovery, image recognition, and other systems involving machine learning, input variables can often be organized into different groups by their source or semantic category.

Meta-Learning

Practical Digital Disguises: Leveraging Face Swaps to Protect Patient Privacy

no code implementations7 Apr 2022 Ethan Wilson, Frederick Shic, Jenny Skytta, Eakta Jain

With rapid advancements in image generation technology, face swapping for privacy protection has emerged as an active area of research.

Face Detection Face Swapping +1

Towards mitigating uncann(eye)ness in face swaps via gaze-centric loss terms

no code implementations5 Feb 2024 Ethan Wilson, Frederick Shic, Sophie Jörg, Eakta Jain

We additionally propose a novel loss equation for the training of face swapping models, leveraging a pretrained gaze estimation network to directly improve representation of the eyes.

DeepFake Detection Face Swapping +1

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