The core expertise of the iBUG group is the machine analysis of human behaviour in space and time including face analysis, body gesture analysis, visual, audio, and multimodal analysis of human behaviour, and biometrics analysis. Application areas in which the group is working are face analysis, body gesture analysis, audio and visual human behaviour analysis, biometrics and behaviometrics, and HCI.
Prof. Maja Pantic spoke of iBUG research at Royal Academy Event.
The Automatic Facial Landmark Detection in-the-Wild Challenge (300-W 2014) to be held for a second year for a special issue in Elsevier Image and Vision Computing Journal.
See the Challenge website for more details.
Mr. Patrick Snape and Dr. Stefanos Zafeiriou have been awarded the prestigious Qualcomm innovation fellowship.
Mr Stephan Liwicki was awarded the prestigious Intel Doctoral Student Honor Programme (https://intelfellowships.com/eu/).
The first Automatic Facial Landmark Detection in-the-Wild Challenge (300-W 2013) to be held in conjunction with International Conference on Computer Vision 2013, Sydney, Australia.
See the Challenge website for more information.