3 citations · 8 across the 5 of their papers we have counts for
4 papers · 1 filter
xTrace: A Facial Expressive Behaviour Analysis Tool for Continuous Affect Recognition
Mani Kumar Tellamekala, Shashank Jaiswal, Thomas Smith +4
Recognising expressive behaviours in face videos is a long-standing challenge in Affective Computing. Despite significant advancements in recent years, it still remains a challenge…
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…
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition
Mani Kumar Tellamekala, Shahin Amiriparian, Björn W. Schuller +3
Automatically recognising apparent emotions from face and voice is hard, in part because of various sources of uncertainty, including in the input data and the labels used in a mac…
Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition
Enrique Sanchez, Mani Kumar Tellamekala, Michel Valstar +1
Temporal context is key to the recognition of expressions of emotion. Existing methods, that rely on recurrent or self-attention models to enforce temporal consistency, work on the…