| Affective processes: stochastic modelling of temporal context for emotion and facial expression recognition E Sanchez, MK Tellamekala, M Valstar, G Tzimiropoulos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 31 | 2021 |
| Dynamic facial models for video-based dimensional affect estimation S Song, E Sánchez-Lozano, M Kumar Tellamekala, L Shen, A Johnston, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 0-0, 2019 | 24 | 2019 |
| Time-Continuous Audiovisual Fusion With Recurrence vs Attention for In-the-Wild Affect Recognition V Karas, MK Tellamekala, A Mallol-Ragolta, M Valstar, BW Schuller Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 18* | 2022 |
| Stochastic Process Regression for Cross-Cultural Speech Emotion Recognition T Mani Kumar, E Sanchez, G Tzimiropoulos, T Giesbrecht, M Valstar Interspeech ( ** Best Student Paper Award Nomination ** ), 3390-3394, 2021 | 16 | 2021 |
| Temporally coherent visual representations for dimensional affect recognition MK Tellamekala, M Valstar Affective Computing and Intelligent Interaction (ACII), 1-7, 2019 | 13 | 2019 |
| COLD fusion: Calibrated and ordinal latent distribution fusion for uncertainty-aware multimodal emotion recognition MK Tellamekala, S Amiriparian, BW Schuller, E André, T Giesbrecht, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 12 | 2023 |
| Dimensional Affect Uncertainty Modelling for Apparent Personality Recognition MK Tellamekala, T Giesbrecht, M Valstar IEEE Transactions on Affective Computing, 1-12, 2022 | 7 | 2022 |
| Modelling stochastic context of audio-visual expressive behaviour with affective processes MK Tellamekala, T Giesbrecht, M Valstar IEEE Transactions on Affective Computing, 2022 | 5 | 2022 |
| Apparent Personality Recognition from Uncertainty-Aware Facial Emotion Predictions using Conditional Latent Variable Models MK Tellamekala, T Giesbrecht, M Valstar 16th IEEE Int. Conf. on Automatic Face and Gesture Recognition (FG 2021), 1-8, 2021 | 5 | 2021 |
| Are 3d face shapes expressive enough for recognising continuous emotions and action unit intensities? MK Tellamekala, Ö Sümer, BW Schuller, E André, T Giesbrecht, M Valstar IEEE Transactions on Affective Computing, 2023 | 4 | 2023 |
| Audio-visual predictive coding for self-supervised visual representation learning MK Tellamekala, M Valstar, M Pound, T Giesbrecht 2020 25th International Conference on Pattern Recognition (ICPR), 9912-9919, 2021 | 1 | 2021 |
| System and method to predict a state of drowsiness in a subject D Jayachandra, KK Hati, T Mani Kumar US Patent US20210085258A1, 2021 | 1 | 2021 |
| Multistage Audio-Visual Automotive Cab Monitoring MF Valstar, A Brown, T Almaev, S Cliffe, TJ Smith, TE Yong, ... US Patent App. 18/364,709, 2024 | | 2024 |
| Towards uncertainty-aware and label-efficient machine learning of human expressive behaviour MK Tellamekala PhD Thesis - University of Nottingham, 2022 | | 2022 |
| Tracking rapid body deformation using sparse representation of deep features D Roy, GSS Bharath, M Kumar T, CK Mohan ICVGIP, 1-7, 2018 | | 2018 |
Michel ValstarProfessor in Automatic Human Behaviour Understanding, University of NottinghamVerified email at nottingham.ac.uk
