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All Outputs (3)

Dynamic Facial Models for Video-Based Dimensional Affect Estimation (2019)
Conference Proceeding
Song, S., Sánchez-Lozano, E., Kumar Tellamekala, M., Shen, L., Johnston, A., & Valstar, M. (2019). Dynamic Facial Models for Video-Based Dimensional Affect Estimation. In Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) (1608-1617). https://doi.org/10.1109/ICCVW.2019.00200

Dimensional affect estimation from a face video is a challenging task, mainly due to the large number of possible facial displays made up of a set of behaviour primitives including facial muscle actions. The displays vary not only in composition but... Read More about Dynamic Facial Models for Video-Based Dimensional Affect Estimation.

Motion integration is anisotropic during smooth pursuit eye movements (2019)
Journal Article
Souto, D., Chudasama, J., Kerzel, D., & Johnston, A. (2019). Motion integration is anisotropic during smooth pursuit eye movements. Journal of Neurophysiology, 121(5), 1787-1797. https://doi.org/10.1152/jn.00591.2018

Smooth pursuit eye movements (pursuit) are used to minimize the retinal motion of moving objects. During pursuit, the pattern of motion on the retina carries not only information about the object movement but also reafferent information about the eye... Read More about Motion integration is anisotropic during smooth pursuit eye movements.

Suboptimal human multisensory cue combination (2019)
Journal Article
Arnold, D. H., Petrie, K., Murray, C., & Johnston, A. (2019). Suboptimal human multisensory cue combination. Scientific Reports, 9(1), Article 5155. https://doi.org/10.1038/s41598-018-37888-7

Information from different sensory modalities can interact, shaping what we think we have seen, heard, or otherwise perceived. Such interactions can enhance the precision of perceptual decisions, relative to those based on information from a single s... Read More about Suboptimal human multisensory cue combination.