My research is in the area of Human Centered Machine Learning, using Machine Learning, Computer Vision and Signal Processing methodologies to learn from multiple sources concepts that enable Intelligent Systems to understand, communicate and collaborate with humans. Currently it evolves around three themes: Learning to recognise behaviour, emotions and cognitive states of people by analysing their images, video and neuro-physiological signals Learning across modalities, and in particular at the intersections of language and vision, using large, pretrained language and audio-visual models Learning from generative models and learning to control generation for privacy, interpretability and control purposes. I have more than 300 publications in the most selective Journals and conferences in the field of Computer Vision. I am (or have been) associate editor in the journals of Pattern Recognition; Computer Vision and Image Understanding; Image and Vision Computing, and area chair or in the programme committee of all the major conferences in the field. My research has been funded by the EPSRC, EU FP7, HORIZON 2020, InnovateUK, and direct bilateral collaborations with research institutes and the industry. I lead a team of around 15 PhD students and Postdoctorate researchers.
Machine Learning | Computer Vision | Affective Computing | Multimodal AI