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Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities?
We also study how 3D face shapes performed on AU intensity estimation on BP4D and DISFA datasets, and report that 3D face features were on par with 2D appearance features in AUs 4, 6, 10, 12, and 25, but not the entire set of AUs.
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition
In particular, we impose Calibration and Ordinal Ranking constraints on the variance vectors of audiovisual latent distributions.
Continuous-Time Audiovisual Fusion with Recurrence vs. Attention for In-The-Wild Affect Recognition
To clearly understand the performance differences between recurrent and attention models in audiovisual affect recognition, we present a comprehensive evaluation of fusion models based on LSTM-RNNs, self-attention and cross-modal attention, trained for valence and arousal estimation.
Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition
Temporal context is key to the recognition of expressions of emotion.
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