Study of human pose
We study pose in videos and derive 2D and 3D information on the anatomical joints, the estimated head direction, and prototypical poses.
MLV
Machine Learning & Vision
We investigate different nuances of visual perception in artificial intelligence systems, where computer vision and machine learning are combined to obtain robust data-driven methods addressing a variety of problems.
In this multidisciplinary world, we are interested in mathematically sound algorithms, computational models, and a wide range of applications.
In particular, we study and develop methods for scene understanding, motion analysis, and action recognition, with applications to assisted living, human-machine interaction, and robotics.
