39 citations · 110 across the 10 of their papers we have counts for
4 papers · 1 filter
Advances in Variational Inference
Cheng Zhang, Judith Butepage, Hedvig Kjellstrom +1
Many modern unsupervised or semi-supervised machine learning algorithms rely on Bayesian probabilistic models. These models are usually intractable and thus require approximate inf…
Human-Robot Collaboration: From Psychology to Social Robotics
Judith Bütepage, Danica Kragic
With the advances in robotic technology, research in human-robot collaboration (HRC) has gained in importance. For robots to interact with humans autonomously they need active deci…
Anticipating many futures: Online human motion prediction and synthesis for human-robot collaboration
Judith Bütepage, Hedvig Kjellström, Danica Kragic
Fluent and safe interactions of humans and robots require both partners to anticipate the others' actions. A common approach to human intention inference is to model specific traje…
Deep representation learning for human motion prediction and classification
Judith Bütepage, Michael Black, Danica Kragic +1
Generative models of 3D human motion are often restricted to a small number of activities and can therefore not generalize well to novel movements or applications. In this work we…