37 citations · 84 across the 6 of their papers we have counts for
8 papers
Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles
Alexander Hustinx, Fabio Hellmann, Ömer Sümer +4
Rare genetic disorders affect more than 6% of the global population. Reaching a diagnosis is challenging because rare disorders are very diverse. Many disorders have recognizable f…
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders
Ömer Sümer, Fabio Hellmann, Alexander Hustinx +3
Computer vision-based methods have valuable use cases in precision medicine, and recognizing facial phenotypes of genetic disorders is one of them. Many genetic disorders are known…
Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities?
Mani Kumar Tellamekala, Ömer Sümer, Björn W. Schuller +3
Recognising continuous emotions and action unit (AU) intensities from face videos requires a spatial and temporal understanding of expression dynamics. Existing works primarily rel…
Multimodal Engagement Analysis from Facial Videos in the Classroom
Ömer Sümer, Patricia Goldberg, Sidney D'Mello +3
Student engagement is a key construct for learning and teaching. While most of the literature explored the student engagement analysis on computer-based settings, this paper extend…
Automated Anonymisation of Visual and Audio Data in Classroom Studies
Ömer Sümer, Peter Gerjets, Ulrich Trautwein +1
Understanding students' and teachers' verbal and non-verbal behaviours during instruction may help infer valuable information regarding the quality of teaching. In education resear…
Attention Flow: End-to-End Joint Attention Estimation
Ömer Sümer, Peter Gerjets, Ulrich Trautwein +1
This paper addresses the problem of understanding joint attention in third-person social scene videos. Joint attention is the shared gaze behaviour of two or more individuals on an…