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All Outputs (6)

Postnatal gestational age estimation of newborns using Small Sample Deep Learning (2018)
Journal Article
Torres Torres, M., Valstar, M., Henry, C., Ward, C., & Sharkey, D. (2019). Postnatal gestational age estimation of newborns using Small Sample Deep Learning. Image and Vision Computing, 83-84, 87-99. https://doi.org/10.1016/j.imavis.2018.09.003

© 2018 A baby's gestational age determines whether or not they are premature, which helps clinicians decide on suitable post-natal treatment. The most accurate dating methods use Ultrasound Scan (USS) machines, but these are expensive, require traine... Read More about Postnatal gestational age estimation of newborns using Small Sample Deep Learning.

Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification (2018)
Conference Proceeding
Song, S., Zhang, S., Schuller, B. W., Shen, L., & Valstar, M. (2018). Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification. In Proceedings of the 2018 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/IJCNN.2018.8489497

The performance of speaker-related systems usually degrades heavily in practical applications largely due to the presence of background noise. To improve the robustness of such systems in unknown noisy environments, this paper proposes a simple pre-p... Read More about Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification.

A Functional Regression Approach to Facial Landmark Tracking (2018)
Journal Article
Sánchez-Lozano, E., Tzimiropoulos, G., Martinez, B., De la Torre, F., & Valstar, M. (2018). A Functional Regression Approach to Facial Landmark Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(9), 2037-2050. https://doi.org/10.1109/TPAMI.2017.2745568

© 1979-2012 IEEE. Linear regression is a fundamental building block in many face detection and tracking algorithms, typically used to predict shape displacements from image features through a linear mapping. This paper presents a Functional Regressio... Read More about A Functional Regression Approach to Facial Landmark Tracking.

Digital innovations in L2 motivation: harnessing the power of the Ideal L2 Self (2018)
Journal Article
Adolphs, S., Clark, L., Dörnyei, Z., Glover, T., Henry, A., Muir, C., …Valstar, M. (in press). Digital innovations in L2 motivation: harnessing the power of the Ideal L2 Self. System, https://doi.org/10.1016/j.system.2018.07.014

Sustained motivation is crucial to learning a second language (L2), and one way to support this can be through the mental visualisation of ideal L2 selves (Dörnyei & Kubanyiova, 2014). This paper reports on an exploratory study which investigated the... Read More about Digital innovations in L2 motivation: harnessing the power of the Ideal L2 Self.

Human behaviour-based automatic depression analysis using hand-crafted statistics and deep learned spectral features (2018)
Conference Proceeding
Song, S., Shen, L., & Valstar, M. (2018). Human behaviour-based automatic depression analysis using hand-crafted statistics and deep learned spectral features. In Proceedings - 13th IEEE International Conference on Automatic Face and Gesture Recognition: FG2018: 15-19 May 2018 Xi'an, China (158-165). https://doi.org/10.1109/FG.2018.00032

Depression is a serious mental disorder that affects millions of people all over the world. Traditional clinical diagnosis methods are subjective, complicated and need extensive participation of experts. Audio-visual automatic depression analysis sys... Read More about Human behaviour-based automatic depression analysis using hand-crafted statistics and deep learned spectral features.

Predicting folds in poker using action unit detectors and decision trees (2018)
Conference Proceeding
Vinkemeier, D., Valstar, M., & Gratch, J. (2018). Predicting folds in poker using action unit detectors and decision trees. In Proceedings - 13th IEEE International Conference on Automatic face and Gesture Recognition: FG 2018 (504-511). https://doi.org/10.1109/FG.2018.00081

Predicting how a person will respond can be very useful, for instance when designing a strategy for negotiations. We investigate whether it is possible for machine learning and computer vision techniques to recognize a person’s intentions and predic... Read More about Predicting folds in poker using action unit detectors and decision trees.