278 citations · 447 across the 23 of their papers we have counts for
10 papers · 1 filter
DeepFN: Towards Generalizable Facial Action Unit Recognition with Deep Face Normalization
Javier Hernandez, Daniel McDuff, Ognjen +3
Facial action unit recognition has many applications from market research to psychotherapy and from image captioning to entertainment. Despite its recent progress, deployment of th…
Fast and Effective Adaptation of Facial Action Unit Detection Deep Model
Mihee Lee, Ognjen Rudovic, Vladimir Pavlovic +1
Detecting facial action units (AU) is one of the fundamental steps in automatic recognition of facial expression of emotions and cognitive states. Though there have been a variety…
Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach
Behnam Gholami, Pritish Sahu, Ognjen Rudovic +2
Unsupervised domain adaptation (uDA) models focus on pairwise adaptation settings where there is a single, labeled, source and a single target domain. However, in many real-world s…
Multi-Instance Dynamic Ordinal Random Fields for Weakly-supervised Facial Behavior Analysis
Adria Ruiz, Ognjen Rudovic, Xavier Binefa +1
We propose a Multi-Instance-Learning (MIL) approach for weakly-supervised learning problems, where a training set is formed by bags (sets of feature vectors or instances) and only…
DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain
Dianbo Liu, Fengjiao Peng, Andrew Shea +3
Previous research on automatic pain estimation from facial expressions has focused primarily on "one-size-fits-all" metrics (such as PSPI). In this work, we focus on directly estim…
Personalized Automatic Estimation of Self-reported Pain Intensity from Facial Expressions
Daniel Lopez Martinez, Ognjen Rudovic, Rosalind Picard
Pain is a personal, subjective experience that is commonly evaluated through visual analog scales (VAS). While this is often convenient and useful, automatic pain detection systems…
DeepCoder: Semi-parametric Variational Autoencoders for Automatic Facial Action Coding
Dieu Linh Tran, Robert Walecki, Ognjen Rudovic +3
Human face exhibits an inherent hierarchy in its representations (i.e., holistic facial expressions can be encoded via a set of facial action units (AUs) and their intensity). Vari…
Multi-instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation
Adria Ruiz, Ognjen Rudovic, Xavier Binefa +1
In this paper, we address the Multi-Instance-Learning (MIL) problem when bag labels are naturally represented as ordinal variables (Multi--Instance--Ordinal Regression). Moreover,…
Variable-state Latent Conditional Random Fields for Facial Expression Recognition and Action Unit Detection
Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic +1
Automated recognition of facial expressions of emotions, and detection of facial action units (AUs), from videos depends critically on modeling of their dynamics. These dynamics ar…
Heteroscedastic Conditional Ordinal Random Fields for Pain Intensity Estimation from Facial Images
Ognjen Rudovic, Maja Pantic, Vladimir Pavlovic
We propose a novel method for automatic pain intensity estimation from facial images based on the framework of kernel Conditional Ordinal Random Fields (KCORF). We extend this fram…