Abstract: Current human pose estimation methods mainly use multi-scale fusion fully convolutional networks to achieve impressive results. However, this fully convolutional network lacks the ability to ...

Abstract: This paper tackles the problem of human motion prediction, consisting in forecasting future body poses from historically observed sequences. State-of-the-art approaches provide good results, ...