| AV+ EC 2015: The First Affect Recognition Challenge Bridging Across Audio, Video, and Physiological Data F Ringeval, B Schuller, M Valstar, S Jaiswal, E Marchi, D Lalanne, ... Proceedings of the 5th International Workshop on Audio/Visual Emotion …, 2015 | 311* | 2015 |
| Deep learning the dynamic appearance and shape of facial action units S Jaiswal, M Valstar 2016 IEEE winter conference on applications of computer vision (WACV), 1-8, 2016 | 215 | 2016 |
| Spectral representation of behaviour primitives for depression analysis S Song, S Jaiswal, L Shen, M Valstar IEEE Transactions on Affective Computing 13 (2), 829-844, 2020 | 126 | 2020 |
| Automatic detection of ADHD and ASD from expressive behaviour in RGBD data S Jaiswal, MF Valstar, A Gillott, D Daley 2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017 | 115 | 2017 |
| Self-supervised learning of person-specific facial dynamics for automatic personality recognition S Song, S Jaiswal, E Sanchez, G Tzimiropoulos, L Shen, M Valstar IEEE Transactions on Affective Computing 14 (1), 178-195, 2021 | 54 | 2021 |
| Automatic prediction of Depression and Anxiety from behaviour and personality attributes S Jaiswal, S Song, M Valstar 2019 8th International Conference on Affective Computing and Intelligent …, 2019 | 47 | 2019 |
| Personality Recognition by Modelling Person-specific Cognitive Processes using Graph Representation Z Shao, S Song, S Jaiswal, L Shen, M Valstar, H Gunes Proceedings of the 29th ACM International Conference on Multimedia, 357-366, 2021 | 45 | 2021 |
| Virtual Human Questionnaire for Analysis of Depression, Anxiety and Personality S Jaiswal, M Valstar, K Kusumam, C Greenhalgh Proceedings of the 19th ACM International Conference on Intelligent Virtual …, 2019 | 34 | 2019 |
| Learning person-specific cognition from facial reactions for automatic personality recognition S Song, Z Shao, S Jaiswal, L Shen, M Valstar, H Gunes IEEE Transactions on Affective Computing 14 (4), 3048-3065, 2022 | 33 | 2022 |
| Guided unsupervised learning of mode specific models for facial point detection in the wild S Jaiswal, T Almaev, M Valstar Proceedings of the IEEE International Conference on Computer Vision …, 2013 | 29 | 2013 |
| Learning to combine local models for Facial Action Unit detection S Jaiswal, B Martinez, MF Valstar Proc. IEEE Int'l Conf. Face and Gesture Recognition, 2015, 2015 | 18 | 2015 |
| Deep Learned Cumulative Attribute Regression S Jaiswal, J Egede, M Valstar 2018 13th IEEE International Conference on Automatic Face & Gesture …, 2018 | 17 | 2018 |
| FugaciousFilm: Exploring Attentive Interaction with Ephemeral Material H Kwon, S Jaiswal, S Benford, SA Seah, P Bennett, B Koleva, ... Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing …, 2015 | 16 | 2015 |
| Learning Graph Representation of Person-specific Cognitive Processes from Audio-visual Behaviours for Automatic Personality Recognition S Song, Z Shao, S Jaiswal, L Shen, M Valstar, H Gunes arXiv preprint arXiv:2110.13570, 2021 | 9 | 2021 |
| Design and Evaluation of Virtual Human Mediated Tasks for Assessment of Depression and Anxiety JO Egede, D Price, DB Krishnan, S Jaiswal, N Elliott, R Morriss, ... Proceedings of the 21st ACM International Conference on Intelligent Virtual …, 2021 | 9 | 2021 |
| Biodecolourization of azo dyes using phanerochaete chrysosporium: effect of culture conditions and enzyme activities K Pakshirajan, S Jaiswal, RK Das J Sci Ind Res 70, 987-991, 2011 | 9 | 2011 |
| Dynamic deep learning for automatic facial expression recognition and its application in diagnosis of ADHD & ASD S Jaiswal University of Nottingham, 2018 | 2 | 2018 |
Michel ValstarProfessor in Automatic Human Behaviour Understanding, University of NottinghamVerified email at nottingham.ac.uk
