109 citations · 245 across the 24 of their papers we have counts for
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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…
Continuous-Time Audiovisual Fusion with Recurrence vs. Attention for In-The-Wild Affect Recognition
Vincent Karas, Mani Kumar Tellamekala, Adria Mallol-Ragolta +2
In this paper, we present our submission to 3rd Affective Behavior Analysis in-the-wild (ABAW) challenge. Learningcomplex interactions among multimodal sequences is critical to rec…