Mani Kumar Tellamekala

According to our database, Mani Kumar Tellamekala authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., February, 2024

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

2023

Modelling Stochastic Context of Audio-Visual Expressive Behaviour With Affective Processes.

Mani Kumar Tellamekala, Timo Giesbrecht, Michel F. Valstar

IEEE Trans. Affect. Comput., 2023

2022

Towards uncertainty-aware and label-efficient machine learning of human expressive behaviour.

Mani Kumar Tellamekala

PhD thesis, 2022

Dimensional Affect Uncertainty Modelling for Apparent Personality Recognition.

Mani Kumar Tellamekala, Timo Giesbrecht, Michel F. Valstar

IEEE Trans. Affect. Comput., 2022

Continuous-Time Audiovisual Fusion with Recurrence vs. Attention for In-The-Wild Affect Recognition.

Vincent Karas, Mani Kumar Tellamekala, Adria Mallol-Ragolta, Michel F. Valstar, Björn W. Schuller

CoRR, 2022

Time-Continuous Audiovisual Fusion with Recurrence vs Attention for In-The-Wild Affect Recognition.

Vincent Karas, Mani Kumar Tellamekala, Adria Mallol-Ragolta, Michel F. Valstar, Björn W. Schuller

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Stochastic Process Regression for Cross-Cultural Speech Emotion Recognition.

Mani Kumar Tellamekala, Enrique Sanchez, Georgios Tzimiropoulos, Timo Giesbrecht, Michel F. Valstar

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Apparent Personality Recognition from Uncertainty-Aware Facial Emotion Predictions using Conditional Latent Variable Models.

Mani Kumar Tellamekala, Timo Giesbrecht, Michel F. Valstar

Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Affective Processes: Stochastic Modelling of Temporal Context for Emotion and Facial Expression Recognition.

Enrique Sanchez, Mani Kumar Tellamekala, Michel F. Valstar, Georgios Tzimiropoulos

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Audio-Visual Predictive Coding for Self-Supervised Visual Representation Learning.

Mani Kumar Tellamekala, Michel F. Valstar, Michael P. Pound, Timo Giesbrecht

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Dynamic Facial Models for Video-Based Dimensional Affect Estimation.

Siyang Song, Enrique Sánchez-Lozano, Mani Kumar Tellamekala, Linlin Shen, Alan Johnston, Michel F. Valstar

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Temporally Coherent Visual Representations for Dimensional Affect Recognition.

Mani Kumar Tellamekala, Michel F. Valstar

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

2016

Fragrance effect on beta band oscillations of primary visual and prefrontal cortices for reading tasks.

Mani Kumar Tellamekala, Mohammad Rafi

Proceedings of the 2016 International Conference on Signal Processing and Communications (SPCOM), 2016