by Sarah Frigg | Dec 12, 2015 | Machine Learning, Visual Computing
Smooth Imitation Learning We study the problem of smooth imitation learning, where the goal is to train a policy that can imitate human behavior in a dynamic and continuous environment. December 12, 2015Neural Information Processing Systems (NIPS) 2015 ...
by Sarah Frigg | Dec 11, 2015 | Capture, Visual Computing
Photogeometric Scene Flow for High-Detail Dynamic 3D Reconstruction This paper proposes photogeometric scene flow (PGSF) for high-quality dynamic 3D reconstruction. December 11, 2015International Conference on Computer Vision (ICCV) 2015 Authors Paulo F. U....
by Sarah Frigg | Nov 9, 2015 | Uncategorized
Toward Better Understanding of Engagement in Multiparty Spoken Interaction with Children We introduce a concrete metric for engagement—willingness to continue the interaction—that leads to better inter-coder judgments for children playing in pairs. November 9,...
