Ognjen Rudovic — accepted AI-conference papers

2018

CultureNet: A Deep Learning Approach for Engagement Intensity Estimation from Face Images of Children with Autism

Ognjen Rudovic, Yuria Utsumi, Jaeryoung Lee, Javier Hernandez, Eduardo Castelló Ferrer, Björn Schuller +1

IROS 2018poster

Many children on autism spectrum have atypical behavioral expressions of engagement compared to their neu-rotypical peers. In this paper, we investigate the performance of deep learning models in the task of automated engagement estimation from face images of children with autism. Specifically, we u…

Cited by 95 Source ↗Scholar ↗

2016

Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity

Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic

CVPR 2016poster

Joint modeling of the intensity of facial action units (AUs) from face images is challenging due to the large number of AUs (30+) and their intensity levels (6). This is in part due to the lack of suitable models that can efficiently handle such a large number of outputs/classes simultaneously, but…

Cited by 72 PDF ↗Scholar ↗

2015

Multi-Conditional Latent Variable Model for Joint Facial Action Unit Detection

Stefanos Eleftheriadis, Ognjen Rudovic, Maja Pantic

ICCV 2015poster

We propose a novel multi-conditional latent variable model for simultaneous facial feature fusion and detection of facial action units. In our approach we exploit the structure-discovery capabilities of generative models such as Gaussian processes, and the discriminative power of classifiers such as…

Cited by 115 PDF ↗Scholar ↗