research
∙
03/24/2022
Random Forest Regression for continuous affect using Facial Action Units
In this paper we describe our approach to the arousal and valence track ...
share
research
∙
10/05/2021
Quantified Facial Expressiveness for Affective Behavior Analytics
The quantified measurement of facial expressiveness is crucial to analyz...
research
∙
07/19/2021
AffectiveTDA: Using Topological Data Analysis to Improve Analysis and Explainability in Affective Computing
We present an approach utilizing Topological Data Analysis to study the ...
research
∙
11/15/2020
Accounting for Affect in Pain Level Recognition
In this work, we address the importance of affect in automated pain asse...
research
∙
10/28/2020
Quantified Facial Temporal-Expressiveness Dynamics for Affect Analysis
The quantification of visual affect data (e.g. face images) is essential...
research
∙
10/15/2020
Impact of Action Unit Occurrence Patterns on Detection
Detecting action units is an important task in face analysis, especially...
research
∙
05/17/2020
Detecting Forged Facial Videos using convolutional neural network
In this paper, we propose to detect forged videos, of faces, in online v...
research
∙
05/17/2020
Facial Action Unit Detection using 3D Facial Landmarks
In this paper, we propose to detect facial action units (AU) using 3D fa...
research
∙
05/17/2020
Impact of multiple modalities on emotion recognition: investigation into 3d facial landmarks, action units, and physiological data
To fully understand the complexities of human emotion, the integration o...
research
∙
05/17/2020
Subject Identification Across Large Expression Variations Using 3D Facial Landmarks
Landmark localization is an important first step towards geometric based...
research
∙
06/27/2019