Phd student Thao Phuang's paper on "Multimodal Deep Models for Predicting Affective Responses Evoked by Movies" was awarded best student paper at the 2nd International Workshop on Computer Vision for Physiological Measurement as part of ICCV in Seoul, South Korea. The paper explores how models based on video and audio can predict emotion of movies:

Just published a new article with my PhD student Thao Ha Thi Phuong and Prof. Gemma Roig on 'Multimodal Deep Models for Predicting Affective Responses Evoked by Movies'. The paper will be published in the proceedings of the 2nd International Workshop on Computer Vision for Physiological Measurement as part of ICCV; and will be presented by Thao in Seoul, South Korea. Anybody interested can download the preprint article here (link coming soon!). The source code of our model is available on github.

I'm happy to announce that the latest issue of Journal of New Music Research (special issue on Music and Machine Learning) features a publication about Dance Hit Prediction