Research
(Watch this space for an updated list of current projects and research topics)
(This page is under construction)
Current Research Topics
Explainable Multimodal Mental Health Assessment
Computer Vision for Recognition of Animal Pain and Emotions
Vision-based AI for Smart tourism
Selected Publications
Google Scholar page for the full list
Broomé, S., Feighelstein, M., Zamansky, A., Carreira Lencioni, G., Haubro Andersen, P., Pessanha, F., Mahmoud, M. , Kjellström, H. and Salah, A. A. (2022) Going deeper than tracking: a survey of computer-vision based recognition of animal pain and emotions. International Journal of Computer Vision.
Ceccarelli, F. and Mahmoud, M. (2022) Multimodal temporal machine learning for bipolar disorder and depression recognition. Pattern Analysis and Applications, 25(3), pp. 493-504.
Lin, W., Orton, I., Li, Q., Pavarini, G. and Mahmoud, M. (2021) Looking at the body: automatic analysis of body gestures and self-adaptors in psychological distress. IEEE Transactions on Affective Computing.
Lin, W., Orton, I., Liu, M. and Mahmoud, M. (2020) Automatic Detection of Self-Adaptors for Psychological Distress. In: 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), Buenos Aires, Argentina, 16-20 Nov 2020, pp. 371-378.
Pessanha, F., McLennan, K. and Mahmoud, M. (2020) Towards Automatic Monitoring of Disease Progression in Sheep: a Hierarchical Model for Sheep Facial Expressions Analysis from Video. In: 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), Buenos Aires, Argentina, 16-20 Nov 2020, pp. 387-393.
Zhang, Z., Lin, W., Liu, M. and Mahmoud, M. (2020) Multimodal Deep Learning Framework for Mental Disorder Recognition. In: 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), Buenos Aires, Argentina, 16-20 Nov 2020, pp. 344-350.
Hewitt, C. and Mahmoud, M. (2019) Pose-Informed Face Alignment for Extreme Head Pose Variations in Animals. In: 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII), Cambridge, UK, 3-6 Sept 2019, pp. 22-27.
McLennan, K. and Mahmoud, M. (2019) Development of an automated pain facial expression detection system for sheep (Ovis Aries). Animals, 9(4), 196.
Mahmoud, M. , Baltrušaitis, T. and Robinson, P. (2016) Automatic analysis of naturalistic hand-over-face gestures. ACM Transactions on Intelligent Interactive Systems, 6(2), 19.