Prof. Ioannis (Yiannis) Patras

My research is in the area of Multimodal AI, using Machine Learning, Computer Vision and Signal Processing methodologies to learn from multiple sources concepts that enable Intelligent Systems to understand the world and to communicate and collaborate with humans. My recent works and research interests are at the cross-roads of Computer Vision and NLP, and currently evolve 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 area of Computer Vision and Machine Learning, including CVPR, ICCV, ECCV, NeurIPS, EMNLP, TPAMI, IJCV, ECCV, TIP. I have been area chair of all major conferences in the area of Computer Vision and associate editor in three journals (Image and Vision Computing; Pattern Recognition; and Computer Vision and Image Understanding). My research has been funded by the EPSRC, EU FP7 and direct bilateral collabora- tions with research institutes and the industry. I am a member of the college of the EPSRC, and have been regular reviewer and evaluator for funding agencies in EU, UK, Canada, France, Netherlands, Belgium and others. I am a senior member of the IEEE and Fellow of the European Laboratory for Learning and Intelligent Systems (ELLIS).