Our goal is to synthesize 3D human motions given textual inputs describi...
Given a series of natural language descriptions, our task is to generate...
Learning to regress 3D human body shape and pose (e.g. SMPL parameters) ...
Understanding the semantics of human movement – the what, how and why of...
Neural activation models that have been proposed in the literature use a...
Human motion is fundamental to understanding behavior. Despite progress ...
In traditional Distributional Semantic Models (DSMs) the multiple senses...
In this paper we present two deep-learning systems that competed at
SemE...
In this paper we present deep-learning models that submitted to the
SemE...
In this paper we present a deep-learning model that competed at SemEval-...