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.
We are organizing a Workshop and a Competition at International Conference on Computer Vision (ICCV) 2021. The competition is split into 3 Challenges-Tracks: i) valence-arousal estimation, ii) 7 basic expression classification, iii) 17 action units detection. The Competition is based on Aff-Wild2 that is annotated for all these behavior tasks. More details can be found here. The competition has started!
We are organizing a Competition at IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2020. This competition is split into 3 Challenges-Tracks: i) valence-arousal estimation, ii) 7 basic expression classification, iii) 8 action units detection. The Competition is for the first time based on one database annotated for all these behavior tasks. More details can be found here. The competition has started!
We are organising the lightweight face recognition competition. For more details please visit the workshop's webpage. The train and test data are now available.
The clip from the report can be found here.
The interview of Prof. Maja Pantic can be found here.
D. Kollias, S. Cheng, E. Ververas, I. Kotsia, S. Zafeiriou. International Journal of Computer Vision. 2020.
D. Kollias, S. Zafeiriou. British Machine Vision Conference, Cardiff. September 2019.
K. Vougioukas, S. Petridis, M. Pantic. International Journal of Computer Vision. 2019.