Audio-Visual Predictive Coding for Self-Supervised Visual Representation Learning. - Mani Kumar Tellamekala; Michel F. Valstar; Michael P. Pound; Timo Giesbrecht (ICPR, 2020)

Neural underpinnings of value-guided choice during auction tasks: An eye-fixation related potentials study. - John Tyson-Carr; Vicente Soto; Katerina Kokmotou; Hannah Roberts; Nicholas Fallon; Adam Byrne; Timo Giesbrecht; Andrej Stancak (NeuroImage, 2020)

Apparent Personality Recognition from Uncertainty-Aware Facial Emotion Predictions using Conditional Latent Variable Models. - Mani Kumar Tellamekala; Timo Giesbrecht; Michel F. Valstar (FG, 2021)

Stochastic Process Regression for Cross-Cultural Speech Emotion Recognition. - Mani Kumar Tellamekala; Enrique Sanchez; Georgios Tzimiropoulos; Timo Giesbrecht; Michel F. Valstar (Interspeech, 2021)

Dimensional Affect Uncertainty Modelling for Apparent Personality Recognition. - Mani Kumar Tellamekala; Timo Giesbrecht; Michel F. Valstar (IEEE Trans. Affect. Comput., 2022)

Modelling Stochastic Context of Audio-Visual Expressive Behaviour With Affective Processes. - Mani Kumar Tellamekala; Timo Giesbrecht; Michel F. Valstar (IEEE Trans. Affect. Comput., 2023)

Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities? - Mani Kumar Tellamekala; Ömer Sümer; Björn W. Schuller; Elisabeth André; Timo Giesbrecht; Michel F. Valstar (IEEE Trans. Affect. Comput., 2024)

COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition. - Mani Kumar Tellamekala; Shahin Amiriparian; Björn W. Schuller; Elisabeth André; Timo Giesbrecht; Michel F. Valstar (IEEE Trans. Pattern Anal. Mach. Intell., 2024)