3 citations · 9 across the 11 of their papers we have counts for
7 papers · 1 filter
Accounting for Affect in Pain Level Recognition
Md Taufeeq Uddin, Shaun Canavan, Ghada Zamzmi
In this work, we address the importance of affect in automated pain assessment and the implications in real-world settings. To achieve this, we curate a new physiological dataset b…
Quantified Facial Temporal-Expressiveness Dynamics for Affect Analysis
Md Taufeeq Uddin, Shaun Canavan
The quantification of visual affect data (e.g. face images) is essential to build and monitor automated affect modeling systems efficiently. Considering this, this work proposes qu…
Impact of Action Unit Occurrence Patterns on Detection
Saurabh Hinduja, Shaun Canavan, Saandeep Aathreya
Detecting action units is an important task in face analysis, especially in facial expression recognition. This is due, in part, to the idea that expressions can be decomposed into…
Detecting Forged Facial Videos using convolutional neural network
Neilesh Sambhu, Shaun Canavan
In this paper, we propose to detect forged videos, of faces, in online videos. To facilitate this detection, we propose to use smaller (fewer parameters to learn) convolutional neu…
Facial Action Unit Detection using 3D Facial Landmarks
Saurabh Hinduja, Shaun Canavan
In this paper, we propose to detect facial action units (AU) using 3D facial landmarks. Specifically, we train a 2D convolutional neural network (CNN) on 3D facial landmarks, track…
Impact of multiple modalities on emotion recognition: investigation into 3d facial landmarks, action units, and physiological data
Diego Fabiano, Manikandan Jaishanker, Shaun Canavan
To fully understand the complexities of human emotion, the integration of multiple physical features from different modalities can be advantageous. Considering this, we present an…
Subject Identification Across Large Expression Variations Using 3D Facial Landmarks
Sk Rahatul Jannat, Diego Fabiano, Shaun Canavan +1
Landmark localization is an important first step towards geometric based vision research including subject identification. Considering this, we propose to use 3D facial landmarks f…